WEBVTT - Ep. 088: Conservation Through Eradication

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<v Speaker 1>This is the me Eater podcast coming at you shirtless,

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<v Speaker 1>severely bug bitten, and in my case, underwear listening podcast.

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<v Speaker 1>You can't predict anything, all right, Steve. I want you

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<v Speaker 1>to do um two things, but you gotta do it

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<v Speaker 1>in the in the order, in this order. Explain like

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<v Speaker 1>what is the neutria and where are they from and

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<v Speaker 1>all that, and then explain who you are and where

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<v Speaker 1>you're from and all that. All right? Yeah? Sure. A

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<v Speaker 1>neutria is a big semi aquatic rodent that's native to

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<v Speaker 1>South America. At one time, it was highly prized for

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<v Speaker 1>its fur, and it was introduced throughout the world and uh,

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<v Speaker 1>fur farms and things like that to create a economic

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<v Speaker 1>resource for rural folks. And similar to mink ranches and

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<v Speaker 1>that sort of thing. It's intermediate in size between a

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<v Speaker 1>muskrat and a beaver. Uh. For those familiar with our

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<v Speaker 1>North American semi aquatic how many pounds? The average is

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<v Speaker 1>probably between fifteen and seventeen pounds for an adult man.

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<v Speaker 1>You know, they're big, Yeah, and uh, you know, I

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<v Speaker 1>guess if I were to equate it too, yeah, compared

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<v Speaker 1>to something probably a raccoon, Yeah, raccoon bigger than a

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<v Speaker 1>woodchuck similar size to a raccoon. I think the biggest

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<v Speaker 1>female that we caught was about twenty one pounds. And

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<v Speaker 1>you know, when they're gravit and full of little ones,

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<v Speaker 1>they can tip the scales higher than the males do.

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<v Speaker 1>So what's the word you used, gravit? Pregnant? Gravit? Am

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<v Speaker 1>I getting all academic here? Pregnant is grab think, so

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<v Speaker 1>get out my thesaurus app check check. Um. So they're

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<v Speaker 1>really kind of an interesting animal too, though. Uh A

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<v Speaker 1>lot of people don't know this, but they get fascinated

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<v Speaker 1>when they hear that the nipples on a female nutrient

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<v Speaker 1>are located along their back, so the young can actually

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<v Speaker 1>suckle when they're swimming in the water either. Yeah, it's

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<v Speaker 1>pretty fascinating. Um. You know, I have like a I've

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<v Speaker 1>never laid eyes on a nutrient. You know, I hadn't

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<v Speaker 1>either before I took this job that that I took

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<v Speaker 1>to try to help eliminate them from the Chesapeake Bay.

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<v Speaker 1>But they're a pretty pretty amazing animal, very adaptable. They're herbivores,

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<v Speaker 1>as most rodents are. They dig up the roots and tubers,

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<v Speaker 1>the underground parts of plants in the wetland ecosystems here,

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<v Speaker 1>and in doing so, they expose it to tremendous erosion

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<v Speaker 1>with the tidal influx of water and and what. So

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<v Speaker 1>that's how muskrat feeds too, right, Yeah, I mean, yeah,

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<v Speaker 1>muskrats will eat you know. One of the things that

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<v Speaker 1>they're most known for is they'll eat cat tail roots

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<v Speaker 1>and parts of cattails. But all I mean, they'll eat

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<v Speaker 1>clams rarely, but mostly they eat aquatic vegetation and they

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<v Speaker 1>when they're Yeah, the excavating from banks is what causes

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<v Speaker 1>folks in trouble. With folks is their denning activities more

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<v Speaker 1>than their feeding activities. Is they dig bank dens and

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<v Speaker 1>make a under usually an underwater entrance, and then they'll

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<v Speaker 1>burrow up into a bank and then make a big

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<v Speaker 1>hollow in the bank. And then you know, some d

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<v Speaker 1>to be like mowing his lawn and all of a

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<v Speaker 1>sudden falls into a muskrat bank. Then that's what gets

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<v Speaker 1>muskrats in trouble. Get free haircuts that I used to

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<v Speaker 1>get free haircuts from some ladies that had a muskrat

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<v Speaker 1>problem in their pond. That they're little haircuttery in Plattsburgh,

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<v Speaker 1>New trapp mustgrats for haircuts. I've trapped muskrats. That was

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<v Speaker 1>the muskrat man to them, and I got my haircut

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<v Speaker 1>for free. So good. It's a bartery economy. So you

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<v Speaker 1>all right, we'll get into this whole trap of things.

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<v Speaker 1>So but now that now that you brought the subject,

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<v Speaker 1>we're going to explore the fact you were trapped before

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<v Speaker 1>you became a government trapper. I yes, I was. No,

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<v Speaker 1>I guess now is the time you can tell us

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<v Speaker 1>about who you are. I was wanted a little teaser

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<v Speaker 1>about those back nipples. Oh yes, So I'm Steve ken Drott.

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<v Speaker 1>I'm a wildlife biologist. I work for the U S

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<v Speaker 1>Department of Agricultures Wildlife Services Program, so small agency, about

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<v Speaker 1>two thousand people nationwide. That's it's UH within the Animal

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<v Speaker 1>and Plant Health Inspection Service for UH in the US

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<v Speaker 1>Department of Agriculture, and our primary mission is to provide

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<v Speaker 1>federal leadership in the there resolving human wildlife conflicts. And

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<v Speaker 1>our primary mission areas are to protect agriculture, human health

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<v Speaker 1>and safety, property, and increasingly natural resources, which is how

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<v Speaker 1>we're entwined with this whole nutrient eradication project to try

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<v Speaker 1>to save the Chesapeake Bay marsh Lands. So I've been

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<v Speaker 1>with that uh agency for about eighteen years now. I

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<v Speaker 1>started out as a wildlife biologist at an airport, UH

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<v Speaker 1>actually a military base in Virginia, and I also worked

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<v Speaker 1>at two of the Washington d C. Airports. But in

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<v Speaker 1>two thousand two I took this job in in Cambridge, Maryland.

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<v Speaker 1>Hold on question, what's what's an airport needed biologist for? Well, so, uh,

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<v Speaker 1>birds and planes both occupy the same airspace and uh

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<v Speaker 1>oftentimes too great detriment to both the birds and the planes.

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<v Speaker 1>So we actually have a very robust program throughout the country.

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<v Speaker 1>Most of our major airports, we've got wildlife biologist station

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<v Speaker 1>there working to provide guidance to the airport about how

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<v Speaker 1>to minimize uh wildlife habitat and attractants on the airfield

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<v Speaker 1>to keep them away from the runways and taxi ways. UH. Deer, coyotes,

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<v Speaker 1>other mammals are also problems. They get on the runways

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<v Speaker 1>and get hit by planes during takeoff and landing and

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<v Speaker 1>and so on and so forth. So it's uh a

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<v Speaker 1>pretty big human health and safety component of our program. Yeah, yeah,

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<v Speaker 1>because that could be like a lot of deaths all

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<v Speaker 1>at once. Absolutely. Yeah. Well, Yeah, the dude that had

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<v Speaker 1>the dude that put the plane down in the Hudson. Yeah,

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<v Speaker 1>several geese. Yep, miracle Alanna Hudson was the result of

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<v Speaker 1>a bird strike with Canada geese. There's also a tragic

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<v Speaker 1>air force accident back in Gosh, I don't even remember

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<v Speaker 1>when that was now, it's been so long since I've

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<v Speaker 1>worked on the airport stuff. But in elmendor Fell Air

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<v Speaker 1>Force Base. Uh, a plane went down from that and

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<v Speaker 1>killed quite a few service folks. So or Burkeley. Yeah,

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<v Speaker 1>so it's you know, you know, not to scare the

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<v Speaker 1>flying public. And now you guys will be on a

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<v Speaker 1>plane soon. Not a lot to worry about. It's a

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<v Speaker 1>it's a low risk but a high consequence kind of

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<v Speaker 1>kind of thing. So, uh, it's something in our the

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<v Speaker 1>airports take very seriously. The FAA takes very seriously. And uh,

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<v Speaker 1>as a result, we've got a pretty robust program nationwide.

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<v Speaker 1>Most biologists employed by your agency. Then, Yeah, and so

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<v Speaker 1>our agency is kind of unique in that it's not

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<v Speaker 1>it doesn't get a huge slug of federal appropriations or

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<v Speaker 1>tax dollars to do the work we do. We work

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<v Speaker 1>through cooperative agreements with other federal agencies, uh, municipalities, airports,

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<v Speaker 1>that sort of thing, private individuals. Uh. So it's very

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<v Speaker 1>much a cost sharing type program where the recipients of

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<v Speaker 1>the services that we provide are paying for at least

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<v Speaker 1>some portion, if not all, of the service that we provide.

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<v Speaker 1>So we're not a regulatory agency like some of the

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<v Speaker 1>other uh federal agencies of Fish and Wildlife Service that

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<v Speaker 1>enforced regulations about endangered species and all that kind of thing.

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<v Speaker 1>We're very much problem solving service orientation UM. And so yeah,

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<v Speaker 1>it's uh, it's been a really interesting agency to work for.

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<v Speaker 1>And this project in the Chesapeake Bay with the Nutria

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<v Speaker 1>is funded by the Fish and Wildlife Service, the United

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<v Speaker 1>States Fish and Wildlife Service, which is in the Department

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<v Speaker 1>of Interior. Um, there are the folks that oversee the

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<v Speaker 1>National Wildlife Refuge System. So so to jump into the

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<v Speaker 1>new Tria, like just to lay the groundwork on the

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<v Speaker 1>Nutria situation Chestpeake Bay, which is a pretty fascinating story.

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<v Speaker 1>But how did it begin? Like when did they come

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<v Speaker 1>in and why did they come in? So they were

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<v Speaker 1>a side note, can they live? They can they adapt

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<v Speaker 1>to northern climates or they like to have they or

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<v Speaker 1>do they need warmer weather and not severe winters. They

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<v Speaker 1>are limited in their northern distribution by by winter weather. However,

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<v Speaker 1>here in Maryland is about the northernmost distribution on the

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<v Speaker 1>east coast. But Neutria also they've been established in seventeen

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<v Speaker 1>or eighteen different states in the US, introduced in a

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<v Speaker 1>number more, but they haven't become established. A lot of

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<v Speaker 1>people don't know that. Uh, your home city of Seattle

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<v Speaker 1>and Portland, UM are home to the neutria as well.

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<v Speaker 1>UM all over in the coastal wetlands and a lot

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<v Speaker 1>of the lot of the parks in uh Portland, Oregon,

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<v Speaker 1>people feed carrots and stuff like that. It's kind of crazy.

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<v Speaker 1>So you don't have to go fired. I've never seen one,

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<v Speaker 1>as I'd always lived in the northern tier states. Yeah.

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<v Speaker 1>Now they're limited in the to the coastal distribution because

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<v Speaker 1>the temporary climate. They Um, So where was I introduced?

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<v Speaker 1>How and why did they come into how? And why

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<v Speaker 1>did they come into the chess Chesspeake Bay like there

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<v Speaker 1>for what reason? So the Nutria were brought to the

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<v Speaker 1>chess Peak region in the nineteen forty three or thereabouts. UM.

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<v Speaker 1>There was two entities that had nutrient brought in. The

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<v Speaker 1>Blackwater actually had the refuge itself had a fur bear

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<v Speaker 1>research station at one time, and they housed nutrient. They

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<v Speaker 1>were doing uh nutrient research as well as muskrat and

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<v Speaker 1>that sort of thing. But there are also some private

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<v Speaker 1>uh entrepreneurs that were bringing nutria in to farm them

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<v Speaker 1>and for some reason UH there that never really took

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<v Speaker 1>off economically, and eventually the farms either went out of

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<v Speaker 1>business and they released their animals, or the conditions just

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<v Speaker 1>became dilapidated and they escaped and whatnot. With the dropping

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<v Speaker 1>fur prices, no, that was quite a bit I think

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<v Speaker 1>before the dropping fur prices, and so nutrient didn't really

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<v Speaker 1>become of an ecological impact in the Chestspeake Bay region

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<v Speaker 1>until probably the late nineteen sixties nineteen seventies. And that's

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<v Speaker 1>pretty typical for a lot of introduced invasive species, is

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<v Speaker 1>that they'll they'll exist at fairly low levels for an

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<v Speaker 1>extended period of time and then begin to grow exponentially,

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<v Speaker 1>and once they hit that sort of critical mass and numbers,

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<v Speaker 1>then that population can just like explode and go through

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<v Speaker 1>the roof. And so that's what happened throughout the nineteen

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<v Speaker 1>seventies and eighties, and they estimated at one point that

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<v Speaker 1>blackwater was probably homed over fifty thousand nutrient and UM.

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<v Speaker 1>That corresponded with a very significant decline in UH emergent

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<v Speaker 1>marsh lands at Chesspeake UH at the Chestpeake marsh Lands

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<v Speaker 1>National Wildlife Complex or Refuge complex. But that black water

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<v Speaker 1>unit of at one point was about thirteen thousand or

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<v Speaker 1>so acres of wetlands and they lost about five thousand

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<v Speaker 1>acres of that over the course of well between nineteen

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<v Speaker 1>thirty eight and UM nineteen ninety nine or so, almost

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<v Speaker 1>a half. Yeah, it's very significant. You look at the

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<v Speaker 1>aerial photographs of the core of the heart of black

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<v Speaker 1>Water Refuge and you can see that it's just been

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<v Speaker 1>converted almost entirely to open water. So huge ecological impact.

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<v Speaker 1>And you said Emergent marshes, Yeah, Emergent marshes are those

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<v Speaker 1>uh wetlands where the plants actually emerge out of the water,

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<v Speaker 1>so you look out and you see vegetation basically as

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<v Speaker 1>opposed to like a lily pad type environment or that

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<v Speaker 1>sort of thing. UM. So the typical marshes that we

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<v Speaker 1>have here in the coastal regions of the Chesapeake bay

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<v Speaker 1>are characterized by uh three square bulrush um cat tails

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<v Speaker 1>in some of the more fresher headwaters of the this

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<v Speaker 1>sort of drainage system, and the closer you get to

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<v Speaker 1>the bay and higher selinities, you'll get more needle rush,

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<v Speaker 1>salt hay um, those different types of plant communities. So

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<v Speaker 1>the one that's really critical, and then probably from a

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<v Speaker 1>wildlife perspective, one of the most valuable habitat types is

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<v Speaker 1>the three square marsh. It produces a lot of seeds

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<v Speaker 1>that are fed on by migrating birds and that sort

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<v Speaker 1>of thing and play showed yesterday all the swamp. So

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<v Speaker 1>if you roll it between your fingers, it's got it's

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<v Speaker 1>very triangular in cross section, so um it's it tends

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<v Speaker 1>to grow in very organic based soils and it basically

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<v Speaker 1>accumulates is you know, pete over years and years and

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<v Speaker 1>years of rotting vegetation sort of builds up this peat layer,

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<v Speaker 1>so it doesn't have a real solid foundation, and they're

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<v Speaker 1>where it's very vulnerable to erosion when nutria come in

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<v Speaker 1>and start carving up that route map. So well, muskrat

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<v Speaker 1>do feed on the same types of plants. Three squares

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<v Speaker 1>very important for muskrat as well. They feed a little

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<v Speaker 1>bit differently. Um nutria tend to dig up the tubers

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<v Speaker 1>of the roots of the plants um and do it

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<v Speaker 1>in a very concentrated area. And even more importantly, what

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<v Speaker 1>they'll do is they'll dig swim channels kind of like

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<v Speaker 1>a beaver does, to get from the tidal waterways into

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<v Speaker 1>their feeding areas. What they're essentially doing is creating a

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<v Speaker 1>little stream bed for the tide to get in and

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<v Speaker 1>out so it penetrates further into their marsh. And then

0:14:44.000 --> 0:14:46.880
<v Speaker 1>when it comes out, all that material that they've dug

0:14:46.960 --> 0:14:50.720
<v Speaker 1>up is gathered and swept out to see more or

0:14:50.840 --> 0:14:53.600
<v Speaker 1>less or at least out to the bay. Um. Oh,

0:14:53.680 --> 0:14:55.440
<v Speaker 1>that's it. In Yeah, because I was hard, I was

0:14:55.440 --> 0:14:58.960
<v Speaker 1>having hard to have picture how what they were doing

0:14:59.040 --> 0:15:01.600
<v Speaker 1>was causing someone trouble. That's an interesting perspective on it,

0:15:02.240 --> 0:15:05.320
<v Speaker 1>not perspective on it, but like an interesting The way

0:15:05.360 --> 0:15:08.800
<v Speaker 1>to explain what's going on is those canals, like the

0:15:08.840 --> 0:15:10.920
<v Speaker 1>same canals beavers dig. I never thought that as being

0:15:10.960 --> 0:15:13.040
<v Speaker 1>a way for water just to snake its way further

0:15:13.160 --> 0:15:16.720
<v Speaker 1>up into stuff, so you get higher salinity water penetrating

0:15:16.760 --> 0:15:19.960
<v Speaker 1>further into what are typically brackish or even fresh water marks,

0:15:19.960 --> 0:15:22.320
<v Speaker 1>because beavers will dig those things. You'll you'll see him

0:15:22.400 --> 0:15:26.520
<v Speaker 1>hud yards long sometimes to to go access willow right,

0:15:27.920 --> 0:15:33.960
<v Speaker 1>So that contributes to this erosion problem. What actually happens

0:15:34.040 --> 0:15:37.360
<v Speaker 1>is that organic muck that this route mat is sort

0:15:37.360 --> 0:15:41.000
<v Speaker 1>of floating on uh gets eroded from underneath, and the

0:15:41.000 --> 0:15:43.880
<v Speaker 1>marsh begins to sink. And despite the fact that these

0:15:43.880 --> 0:15:47.800
<v Speaker 1>are wetland plants, they're very susceptible too and intolerant of

0:15:48.640 --> 0:15:52.800
<v Speaker 1>changes in the hydrology of the system. So all they

0:15:52.800 --> 0:15:54.840
<v Speaker 1>need is sink is just a few fractions of an

0:15:54.880 --> 0:15:58.440
<v Speaker 1>inch necessarily, and those plants can no longer survive. It

0:15:58.480 --> 0:16:00.840
<v Speaker 1>turns into a different community, and in many cases it

0:16:01.120 --> 0:16:03.600
<v Speaker 1>sinks so low that no plants can survive, and it

0:16:03.680 --> 0:16:08.000
<v Speaker 1>just turns into this kind of open water wasteland that

0:16:08.280 --> 0:16:11.320
<v Speaker 1>really doesn't produce much good habitat. You know, it's not

0:16:11.440 --> 0:16:14.080
<v Speaker 1>deep enough all the time for a fish community to

0:16:14.160 --> 0:16:16.600
<v Speaker 1>be really supported by it, and most of the fish

0:16:16.640 --> 0:16:19.600
<v Speaker 1>that we tend to see using those those open water

0:16:19.640 --> 0:16:23.280
<v Speaker 1>areas are also invasive species, carved and things like that.

0:16:23.360 --> 0:16:28.720
<v Speaker 1>So but you know, it's not solely the nutrients fault

0:16:28.840 --> 0:16:31.840
<v Speaker 1>that we've seen such wetland loss in the Chesapeake Bay

0:16:31.880 --> 0:16:35.960
<v Speaker 1>region because there are a number of threats to this ecosystem,

0:16:36.000 --> 0:16:41.800
<v Speaker 1>and that includes sea level rise, UM, land subsidence, through

0:16:41.880 --> 0:16:46.720
<v Speaker 1>the withdrawal of underground aquifers for human consumption, congregation, and

0:16:46.720 --> 0:16:51.640
<v Speaker 1>all that sort of thing um and so there's all

0:16:51.640 --> 0:16:56.320
<v Speaker 1>these sort of multiple factors impacting the marshes, which can

0:16:56.360 --> 0:16:59.960
<v Speaker 1>be fairly resilient until you put nutrient into the equation.

0:17:00.200 --> 0:17:04.040
<v Speaker 1>And there's sort of the catalyst that that little uh

0:17:04.119 --> 0:17:08.000
<v Speaker 1>that you know, your grandma's sweater that she needed for

0:17:08.040 --> 0:17:09.760
<v Speaker 1>you when you're a kid, and you get a thread

0:17:09.760 --> 0:17:11.200
<v Speaker 1>pulled on it, and all of a sudden, the whole

0:17:11.200 --> 0:17:13.200
<v Speaker 1>thing on ravels. The new tria is the one pulling

0:17:13.240 --> 0:17:16.720
<v Speaker 1>that thread, and that's all of the other things sort

0:17:16.720 --> 0:17:21.000
<v Speaker 1>of compound when nutria introduced to the equation. So they

0:17:21.040 --> 0:17:23.720
<v Speaker 1>did some really neat research back in the nineteen nineties

0:17:23.720 --> 0:17:27.000
<v Speaker 1>trying to figure out the role that neutria played. And

0:17:27.040 --> 0:17:29.000
<v Speaker 1>what they did was they went throughout the black Water

0:17:29.080 --> 0:17:32.000
<v Speaker 1>system and they put in a bunch of fences, basically

0:17:32.400 --> 0:17:36.600
<v Speaker 1>UM thirty exclusion fences that they buried into the ground

0:17:37.320 --> 0:17:39.920
<v Speaker 1>so that the nutria couldn't swim under it or dig

0:17:40.000 --> 0:17:43.080
<v Speaker 1>under it, and then they made sure there were no

0:17:43.160 --> 0:17:49.040
<v Speaker 1>nutria within them, and they just monitored the vegetation around them,

0:17:49.119 --> 0:17:53.119
<v Speaker 1>and they very quickly could see a distinct difference. Uh,

0:17:53.840 --> 0:17:57.440
<v Speaker 1>they put them in areas where there were compromised by nutria,

0:17:57.960 --> 0:18:01.400
<v Speaker 1>and outside the fences continue need to degrade and convert

0:18:01.440 --> 0:18:04.760
<v Speaker 1>to this muddy open water, and inside the fence the

0:18:04.800 --> 0:18:09.359
<v Speaker 1>plants came back. So it was a good indication that

0:18:09.440 --> 0:18:12.800
<v Speaker 1>if we could eliminate nutrient from the equation, that the

0:18:12.800 --> 0:18:18.320
<v Speaker 1>marsh could possibly restore itself. No real quick here do

0:18:19.200 --> 0:18:21.480
<v Speaker 1>they banked in or where do they sleep at night?

0:18:21.920 --> 0:18:25.800
<v Speaker 1>That's a great question. Um, they don't typically bank then. Um.

0:18:25.840 --> 0:18:28.679
<v Speaker 1>In fact, many of the areas that they live in

0:18:28.720 --> 0:18:31.920
<v Speaker 1>out in the open marsh don't have banks, so they

0:18:31.960 --> 0:18:36.960
<v Speaker 1>just live on they don't And that's one of the

0:18:37.000 --> 0:18:40.159
<v Speaker 1>reasons we think that they're limited in their northern distribution

0:18:40.280 --> 0:18:44.240
<v Speaker 1>because they don't have that thermal refuge from cold weather.

0:18:45.080 --> 0:18:48.600
<v Speaker 1>So what we would see layout they'll build like a

0:18:48.640 --> 0:18:53.960
<v Speaker 1>little nest, just a platform of vegetation, like a muskrat feedbed. Yeah, exactly,

0:18:54.680 --> 0:18:59.600
<v Speaker 1>And I've seen those built almost on stilts. When we

0:18:59.720 --> 0:19:01.880
<v Speaker 1>have high water events. We had a hurricane in two

0:19:01.960 --> 0:19:05.280
<v Speaker 1>thousand and two, I think Hurricane Isabella brought a six

0:19:05.320 --> 0:19:08.400
<v Speaker 1>foot storm surge over the whole marsh, and when the

0:19:08.400 --> 0:19:10.960
<v Speaker 1>waters were seated, we found nutria beds that were made

0:19:11.000 --> 0:19:14.280
<v Speaker 1>out of frag Mighty's the invasive reed that you've been

0:19:14.320 --> 0:19:18.720
<v Speaker 1>seeing lately. Um four ft off the surface of the marsh.

0:19:18.760 --> 0:19:20.960
<v Speaker 1>All folded over and made a nice little platform so

0:19:21.000 --> 0:19:23.199
<v Speaker 1>they could get up out of the water. But that

0:19:23.240 --> 0:19:25.480
<v Speaker 1>doesn't provide thermal protection. So what we see in the

0:19:25.480 --> 0:19:28.679
<v Speaker 1>wintertime with these critters is that they're very susceptible the

0:19:28.720 --> 0:19:31.879
<v Speaker 1>cold weather. They'll get frost bite on their tails and

0:19:31.960 --> 0:19:35.200
<v Speaker 1>over over the course of several years of a big

0:19:35.400 --> 0:19:38.680
<v Speaker 1>adult nutria might only have a stub six inch tailor

0:19:38.920 --> 0:19:41.960
<v Speaker 1>or less even um because it just gets frost bit.

0:19:43.040 --> 0:19:47.439
<v Speaker 1>Females under physiological stress from the cold weather will actually

0:19:47.440 --> 0:19:54.159
<v Speaker 1>abort their females or their fetuses, and so that's another

0:19:54.359 --> 0:19:57.720
<v Speaker 1>element of nutrient. Why there's such a difficult species to

0:19:57.880 --> 0:20:03.760
<v Speaker 1>deal with is because they reproduce extremely rapidly. They Nutria

0:20:03.880 --> 0:20:07.040
<v Speaker 1>come into heat and are ready to breed within four

0:20:07.119 --> 0:20:10.040
<v Speaker 1>or forty eight hours of giving birth, and they become

0:20:10.119 --> 0:20:12.320
<v Speaker 1>sexually mature at about six months of age. So once

0:20:12.359 --> 0:20:15.640
<v Speaker 1>a neutria hits six months of age, she's virtually pregnant

0:20:15.640 --> 0:20:18.880
<v Speaker 1>for the rest of her life. And in the wintertime.

0:20:18.960 --> 0:20:23.000
<v Speaker 1>If they clarify that when you first said that, I

0:20:23.000 --> 0:20:27.119
<v Speaker 1>thought you meant um that the young were. You're saying

0:20:27.359 --> 0:20:30.560
<v Speaker 1>a female will have a litter, and then that female

0:20:30.880 --> 0:20:34.520
<v Speaker 1>within within a couple of days is ready to breed again.

0:20:34.600 --> 0:20:37.480
<v Speaker 1>Absolutely yeah. And if her in her offspring can breed

0:20:37.520 --> 0:20:42.199
<v Speaker 1>win howld at about six months of age, so you

0:20:42.320 --> 0:20:48.760
<v Speaker 1>get it's about a four month gestation period, three to

0:20:48.840 --> 0:20:52.479
<v Speaker 1>four months, and so they can produce like three litters

0:20:52.520 --> 0:20:56.200
<v Speaker 1>a year. You're producing generations in a year. Yeah, oh yeah.

0:20:56.320 --> 0:20:59.359
<v Speaker 1>And in these northern climates where we do see these

0:20:59.720 --> 0:21:03.280
<v Speaker 1>period of stress on the animals where the females will

0:21:03.280 --> 0:21:07.720
<v Speaker 1>abort their litters if they're pregnant, they'll come into the

0:21:07.720 --> 0:21:11.320
<v Speaker 1>heat immediately after that. So it forces this sort of

0:21:11.359 --> 0:21:15.000
<v Speaker 1>cyclic and seasonality to the to the breeding pattern in

0:21:15.000 --> 0:21:17.680
<v Speaker 1>these northern climates where we tend to see big pulses

0:21:17.720 --> 0:21:23.680
<v Speaker 1>of reproduction. Uh, litters born in like May October in January,

0:21:23.840 --> 0:21:28.240
<v Speaker 1>and then usually the January litter doesn't really survive because

0:21:28.320 --> 0:21:31.040
<v Speaker 1>there's these young are born at at a time of

0:21:31.119 --> 0:21:35.840
<v Speaker 1>year where it just isn't conducive to survival. What so,

0:21:35.920 --> 0:21:38.560
<v Speaker 1>what year was it? Remind me again what year they

0:21:39.119 --> 0:21:43.439
<v Speaker 1>first may have gotten introduced here from early nineties, and

0:21:43.600 --> 0:21:46.159
<v Speaker 1>what year was it when the explosion, Like you know,

0:21:46.160 --> 0:21:48.760
<v Speaker 1>when you you're describing how they're just kind of putter

0:21:48.880 --> 0:21:50.439
<v Speaker 1>long and all of a sudden their numbers get to

0:21:50.440 --> 0:21:52.080
<v Speaker 1>a point where you can have this like all of

0:21:52.160 --> 0:21:56.240
<v Speaker 1>a sudden, it's like exponential, right, you know, was the

0:21:56.320 --> 0:21:59.399
<v Speaker 1>late nineteen sixties when they really started to notice, you know,

0:21:59.480 --> 0:22:03.000
<v Speaker 1>nutrient and abundance, and then through the seventies and eighties

0:22:03.040 --> 0:22:07.160
<v Speaker 1>that marsh lost really seemed to accelerate to the point

0:22:07.160 --> 0:22:09.359
<v Speaker 1>where you could people were seeing it in their own lifetime.

0:22:09.400 --> 0:22:12.480
<v Speaker 1>They were seeing the marshall. Yeah, definitely. I had employees

0:22:12.520 --> 0:22:14.960
<v Speaker 1>on the project that were born and raised on the

0:22:15.000 --> 0:22:19.040
<v Speaker 1>marshes of black Water, and they said when they were kids,

0:22:19.640 --> 0:22:23.159
<v Speaker 1>they could have walked in tennis shoes from the Wildlife

0:22:23.240 --> 0:22:26.320
<v Speaker 1>Drive on the black Water National Wildlife Refuge across to

0:22:26.400 --> 0:22:29.720
<v Speaker 1>the property where they grew up. It's about a two

0:22:29.840 --> 0:22:33.840
<v Speaker 1>or three mile distance probably, and the only place they

0:22:33.840 --> 0:22:36.439
<v Speaker 1>would have gotten wet was where the Blackwater River coursed

0:22:36.440 --> 0:22:41.520
<v Speaker 1>through that marsh. There's a high marsh, solid good, good

0:22:41.560 --> 0:22:45.920
<v Speaker 1>ground and uh, that's a big lake. Now okay, yah,

0:22:47.119 --> 0:22:52.520
<v Speaker 1>what year was it then that? Or let me ask

0:22:52.560 --> 0:22:56.479
<v Speaker 1>this to how okay, what year was it when someone said, like,

0:22:57.080 --> 0:22:59.240
<v Speaker 1>is there something we should be trying to do about this?

0:22:59.760 --> 0:23:03.439
<v Speaker 1>And how many neutria werether at that moment? Yeah? Can

0:23:03.480 --> 0:23:06.000
<v Speaker 1>you work in just like a general public perception into

0:23:06.040 --> 0:23:08.359
<v Speaker 1>that answer to like, what was the public thinking and

0:23:08.520 --> 0:23:11.040
<v Speaker 1>about it back then? Well? You know what, at first,

0:23:11.080 --> 0:23:13.600
<v Speaker 1>I think that it wasn't perceived as such a problem

0:23:13.600 --> 0:23:17.160
<v Speaker 1>because there was a fur market for for neutria, and

0:23:17.800 --> 0:23:20.520
<v Speaker 1>people would go out in the wintertime and they would

0:23:21.480 --> 0:23:23.680
<v Speaker 1>hunt and trap them and you know, get some money

0:23:23.720 --> 0:23:31.919
<v Speaker 1>for their for their pelts. Um excuse me, but really

0:23:32.080 --> 0:23:37.240
<v Speaker 1>from a wildlife perspective and from a local economy perspective,

0:23:37.880 --> 0:23:40.320
<v Speaker 1>the muskrat is the king here and when you lose

0:23:40.359 --> 0:23:44.359
<v Speaker 1>three square marks, you lose muskrat. And I think people

0:23:44.400 --> 0:23:48.400
<v Speaker 1>started to realize that that, at least from the trapping community,

0:23:48.920 --> 0:23:54.000
<v Speaker 1>that muskrat are much more desirable than neutria are. And

0:23:54.040 --> 0:23:56.680
<v Speaker 1>so there was support even from you know, that element

0:23:56.800 --> 0:23:59.280
<v Speaker 1>that we needed to do something about it. The big

0:23:59.320 --> 0:24:01.720
<v Speaker 1>thing was the law some marshes at black Water in

0:24:01.720 --> 0:24:06.639
<v Speaker 1>the surrounding Fishing Bay Wildlife Management Area. So it was

0:24:06.720 --> 0:24:11.720
<v Speaker 1>in the nineteen nineties that the various natural resource agencies

0:24:11.760 --> 0:24:16.760
<v Speaker 1>that have a role in managing and conserving UH these

0:24:16.880 --> 0:24:21.520
<v Speaker 1>important Chesapeake Bay resources got together and started thinking about,

0:24:22.000 --> 0:24:24.919
<v Speaker 1>you know, what we could do to try to stem

0:24:24.960 --> 0:24:28.280
<v Speaker 1>the loss and maybe even foster the recovery of the marsh. This,

0:24:28.440 --> 0:24:33.840
<v Speaker 1>this whole project is not about killing nutrients, about restoring wetlands, UM,

0:24:33.920 --> 0:24:38.720
<v Speaker 1>and that's the purpose of it. So it took some

0:24:38.840 --> 0:24:41.200
<v Speaker 1>time to get all the people on board and to

0:24:41.280 --> 0:24:44.320
<v Speaker 1>get congressional support for because this is a big initiative.

0:24:44.359 --> 0:24:48.800
<v Speaker 1>You know, we're talking uh, you know, a quarter million

0:24:48.840 --> 0:24:53.120
<v Speaker 1>acres of wetlands that we eventually have have treated across

0:24:53.200 --> 0:24:57.760
<v Speaker 1>this uh, this landscape, so no small task. UM. They

0:24:57.880 --> 0:25:02.760
<v Speaker 1>estimated population estimates UH somewhere in the vicinity of fifty

0:25:02.800 --> 0:25:07.120
<v Speaker 1>thousand nutrient Blackwater National Wildlife Refuge, and they had some

0:25:07.680 --> 0:25:12.040
<v Speaker 1>fairly good numbers to make estimates off through their trapping programs.

0:25:12.080 --> 0:25:16.280
<v Speaker 1>Because black Water and Fishing Bay are both available to

0:25:17.080 --> 0:25:22.040
<v Speaker 1>UH for trappers to to bid on. They control the

0:25:22.040 --> 0:25:24.480
<v Speaker 1>the amount of trapping. Trappers can come in and bid

0:25:24.480 --> 0:25:26.960
<v Speaker 1>on a lot like like like a chunk of ground

0:25:27.000 --> 0:25:32.920
<v Speaker 1>within the refuge just to work for their own trap line, right. Um,

0:25:32.960 --> 0:25:34.840
<v Speaker 1>And so they had harvest records and at one point

0:25:34.920 --> 0:25:38.600
<v Speaker 1>they were paying uh not a bounty per se, but

0:25:38.720 --> 0:25:43.120
<v Speaker 1>trappers that that did least the trapping units could turn

0:25:43.200 --> 0:25:47.320
<v Speaker 1>in nutrient tails for a dollar fifty credit towards the

0:25:47.359 --> 0:25:50.280
<v Speaker 1>total price of whatever they paid. So if a trapper paid,

0:25:50.320 --> 0:25:53.959
<v Speaker 1>you know, fift undred bucks for a trapping unit and

0:25:54.000 --> 0:25:58.639
<v Speaker 1>they caught what a hundred nutrient turn the tails and

0:25:58.640 --> 0:26:00.560
<v Speaker 1>they could get a hundred and fifty dollars per tail

0:26:00.640 --> 0:26:02.959
<v Speaker 1>and cover the cost of their least they couldn't they

0:26:02.960 --> 0:26:07.680
<v Speaker 1>couldn't catch you know, five nutrient getting extra money. But

0:26:07.800 --> 0:26:10.000
<v Speaker 1>that same guy would probably be that that same guy

0:26:10.000 --> 0:26:13.600
<v Speaker 1>would probably stacking up muskrats in the hundreds. Yeah, yeah,

0:26:13.840 --> 0:26:19.040
<v Speaker 1>for sure. These whitelands support quite high densities and muskrats.

0:26:19.440 --> 0:26:22.240
<v Speaker 1>And these are high quality muskrats around here. Yeah, they're

0:26:22.359 --> 0:26:25.320
<v Speaker 1>the chest Peake Bay region is renowned for the quality

0:26:25.320 --> 0:26:28.240
<v Speaker 1>of the muskrat pelts. Yeah, I heard a guy, you're not,

0:26:28.359 --> 0:26:33.800
<v Speaker 1>I mean, I were like in the early eight like

0:26:33.840 --> 0:26:37.919
<v Speaker 1>the late seventies early eighties muskrats, you know, I mean

0:26:37.960 --> 0:26:40.360
<v Speaker 1>got it's like, you know, extra large muskrats. You gotta

0:26:40.359 --> 0:26:43.040
<v Speaker 1>imagine like the economic difference now and then like what

0:26:43.080 --> 0:26:46.520
<v Speaker 1>it meant. But like seven or eight dollar muskrats in

0:26:46.560 --> 0:26:49.919
<v Speaker 1>the late seventies early eighties, adjusted for inflation, is like

0:26:49.960 --> 0:26:53.879
<v Speaker 1>a valuable animal for something that like an enterprising trapp

0:26:53.960 --> 0:26:56.440
<v Speaker 1>or I mean, there was guys who would quite handily

0:26:56.520 --> 0:27:02.680
<v Speaker 1>put um trap flesh and stretch upwards of a thousand

0:27:02.720 --> 0:27:04.959
<v Speaker 1>or even more muskrats in a year. You can make

0:27:05.000 --> 0:27:08.720
<v Speaker 1>a living trapping back then. Trapping muskrats. Now you're hard

0:27:08.720 --> 0:27:10.480
<v Speaker 1>to press to make a living trap muskrats. You're hard

0:27:10.520 --> 0:27:13.560
<v Speaker 1>press of paper, your expenses trap of muskrats. But at

0:27:13.560 --> 0:27:16.680
<v Speaker 1>the time, it's just like an incredible thing. I caught

0:27:16.680 --> 0:27:18.800
<v Speaker 1>the tail end of that, you know, I was coming

0:27:18.840 --> 0:27:21.400
<v Speaker 1>into trap and just as the you know, I set

0:27:21.440 --> 0:27:24.960
<v Speaker 1>my first muskrat trap and guys are already talking about

0:27:24.960 --> 0:27:27.000
<v Speaker 1>the good old days. But it was still pretty good.

0:27:27.119 --> 0:27:29.960
<v Speaker 1>It's not as good well, you know, in the market

0:27:30.240 --> 0:27:33.920
<v Speaker 1>continues to fluctuate. We we've never seen prices like back then.

0:27:35.560 --> 0:27:38.160
<v Speaker 1>But you know, in the time that I've been here.

0:27:39.080 --> 0:27:42.880
<v Speaker 1>Muskrat pelts extra largess have have gone up to close

0:27:42.920 --> 0:27:46.280
<v Speaker 1>to eight dollars and you know, five dollars with some regularity,

0:27:46.320 --> 0:27:49.560
<v Speaker 1>and they you know, Peakin Valley over time. But there's

0:27:49.600 --> 0:27:52.640
<v Speaker 1>also a market for the meats here as well. So

0:27:53.119 --> 0:27:55.320
<v Speaker 1>by the time that surprised me to hear, yeah, by

0:27:55.320 --> 0:27:56.760
<v Speaker 1>the time you sell the pelt and then you might

0:27:56.800 --> 0:27:59.159
<v Speaker 1>get through four or five bucks for the meats as well.

0:27:59.800 --> 0:28:02.280
<v Speaker 1>Uh uh, you're actually looking at ten or twelve dollars

0:28:02.320 --> 0:28:05.320
<v Speaker 1>per muskrat. And there are people here that that make

0:28:05.400 --> 0:28:08.919
<v Speaker 1>a significant part of their living off of muskrat. You know,

0:28:08.920 --> 0:28:11.160
<v Speaker 1>it's a seasonal work. A lot of farmers will trapped

0:28:11.240 --> 0:28:13.159
<v Speaker 1>during the winter when they're not tend in their fields

0:28:13.160 --> 0:28:17.439
<v Speaker 1>and whatnot. A lot of waterman well trapped during that

0:28:17.480 --> 0:28:19.159
<v Speaker 1>part of the year. So it's an important part of

0:28:19.160 --> 0:28:21.359
<v Speaker 1>the local economy. And and you know a lot of

0:28:21.400 --> 0:28:25.640
<v Speaker 1>people think that, you know, trapping is a anachronistic type thing,

0:28:25.680 --> 0:28:27.639
<v Speaker 1>it's a dead art, and it's we don't need it

0:28:27.680 --> 0:28:30.280
<v Speaker 1>in this modern society. But there's still folks here that

0:28:30.280 --> 0:28:34.440
<v Speaker 1>that really rely on income for trapping. You know, Dorchester

0:28:34.520 --> 0:28:38.520
<v Speaker 1>County is not a wealthy County. It's uh. The last

0:28:38.520 --> 0:28:41.640
<v Speaker 1>time I looked, which was some years ago, that the

0:28:41.680 --> 0:28:44.719
<v Speaker 1>media income was about two thous dollars a year. So

0:28:45.160 --> 0:28:48.960
<v Speaker 1>someone's catching three four five thousand dollars worth of muskrat

0:28:48.960 --> 0:28:52.120
<v Speaker 1>in a year. That's a significant chunk of their annual income.

0:28:52.640 --> 0:28:54.960
<v Speaker 1>So it's important to people. It's not just a you know,

0:28:55.000 --> 0:28:56.920
<v Speaker 1>a hobby or a pastime that people like to do.

0:28:57.000 --> 0:29:00.440
<v Speaker 1>It's it's really important. And this is a point that

0:29:00.520 --> 0:29:05.720
<v Speaker 1>I think is forgotten that those skills in the community,

0:29:06.440 --> 0:29:09.200
<v Speaker 1>that understanding of the natural world that we live in.

0:29:09.560 --> 0:29:12.360
<v Speaker 1>I think no one understands better than a trapper. You know,

0:29:12.560 --> 0:29:15.200
<v Speaker 1>having a no one animal well enough and it's habitat

0:29:15.240 --> 0:29:17.000
<v Speaker 1>well enough to be able to go out and catch

0:29:17.040 --> 0:29:22.400
<v Speaker 1>it requires a certain amount of knowledge and know how,

0:29:22.720 --> 0:29:27.040
<v Speaker 1>understanding and respect for the environment. And without those they're

0:29:27.040 --> 0:29:30.080
<v Speaker 1>doing that ninety days in a role. Yeah, absolutely, a dedication.

0:29:30.240 --> 0:29:35.760
<v Speaker 1>It's uh, it's hard work and having those skills, uh,

0:29:35.920 --> 0:29:39.800
<v Speaker 1>I think are incredibly important to conservation today. And you

0:29:39.840 --> 0:29:41.959
<v Speaker 1>can see it beyond what we did here, you know,

0:29:42.160 --> 0:29:47.640
<v Speaker 1>are the nutrient eradication campaign that we mounted in conjunction

0:29:47.720 --> 0:29:49.440
<v Speaker 1>with the Maryland d n R and the US Fish

0:29:49.440 --> 0:29:53.920
<v Speaker 1>and Wildlife Service was essentially a systematic hunting and trapping

0:29:53.960 --> 0:29:59.880
<v Speaker 1>program that we used paid employees to implement. So the

0:30:00.000 --> 0:30:05.200
<v Speaker 1>problem was identified and funding was secured, and someone floated

0:30:05.240 --> 0:30:10.840
<v Speaker 1>the idea of let's try to go kill all fifty

0:30:11.160 --> 0:30:16.680
<v Speaker 1>thousand neutria, every last one of them dead. Yep, that

0:30:16.720 --> 0:30:19.480
<v Speaker 1>was the goal. And what was the person if someone

0:30:19.520 --> 0:30:23.560
<v Speaker 1>told me that, if if you asked me, if you

0:30:23.640 --> 0:30:25.440
<v Speaker 1>asked me, like before I found out about this, if

0:30:25.480 --> 0:30:28.200
<v Speaker 1>you'd ask me like, do you think in a not

0:30:28.360 --> 0:30:31.160
<v Speaker 1>in an island, not in an island environment, but like

0:30:31.200 --> 0:30:34.160
<v Speaker 1>in an open environment like this, do you think you

0:30:34.240 --> 0:30:40.560
<v Speaker 1>could um mechanically remove an established population of a semi

0:30:40.560 --> 0:30:45.600
<v Speaker 1>aquatic rodent? I would tend to say no, you couldn't.

0:30:46.200 --> 0:30:50.600
<v Speaker 1>But people did it successfully accidentally with beavers in the

0:30:51.840 --> 0:30:56.440
<v Speaker 1>on horseback, So so that was still would be daunting

0:30:56.600 --> 0:30:57.880
<v Speaker 1>and would still be like, yeah, I don't know if

0:30:57.880 --> 0:31:00.640
<v Speaker 1>you could really do it or not. And so wisely,

0:31:00.680 --> 0:31:03.560
<v Speaker 1>the project began as a pilot study because we weren't

0:31:03.560 --> 0:31:06.000
<v Speaker 1>sure if it was feasible or not, and certainly there

0:31:06.000 --> 0:31:09.320
<v Speaker 1>were a lot of people, probably most people who thought

0:31:09.320 --> 0:31:11.840
<v Speaker 1>it probably wasn't. But we were able to convince enough

0:31:11.840 --> 0:31:14.680
<v Speaker 1>folks in the right places, uh, that it was a

0:31:14.880 --> 0:31:18.960
<v Speaker 1>worthy endeavor, and we got the funding to to do it.

0:31:19.080 --> 0:31:23.160
<v Speaker 1>It started with about a two year research project back

0:31:23.200 --> 0:31:27.240
<v Speaker 1>in two thousand and At that time the project was

0:31:27.280 --> 0:31:31.720
<v Speaker 1>being managed through the University of Maryland Eastern Shore, where

0:31:31.760 --> 0:31:34.120
<v Speaker 1>they had a cooperative Fish and Wildlife Research Unit. It

0:31:34.200 --> 0:31:39.560
<v Speaker 1>was part of the US Geological Surveys Research Branch, and

0:31:39.640 --> 0:31:43.160
<v Speaker 1>it's so it started looking at things like trying to

0:31:43.200 --> 0:31:47.320
<v Speaker 1>answer questions like, if you is there a density dependent

0:31:47.400 --> 0:31:53.800
<v Speaker 1>response of nutria reproduction in response to intensive trapping pressure?

0:31:53.880 --> 0:31:58.000
<v Speaker 1>So in other words, if you trap nutria, are they

0:31:58.000 --> 0:32:01.320
<v Speaker 1>gonna just make more nutria faster? And so that was

0:32:01.360 --> 0:32:05.320
<v Speaker 1>one of the areas of research. Um which there's alway

0:32:05.360 --> 0:32:08.600
<v Speaker 1>the problem people find with trying to get rid of coyotes. Yeah,

0:32:08.680 --> 0:32:14.400
<v Speaker 1>there are examples of species that do respond by increasing

0:32:14.400 --> 0:32:18.320
<v Speaker 1>their reproductive rates, whether it's on a per individual basis

0:32:18.360 --> 0:32:21.320
<v Speaker 1>by an increase in litter size, or if it's through

0:32:21.960 --> 0:32:26.440
<v Speaker 1>an increasing proportion of the population breeding, because you're destructing

0:32:26.480 --> 0:32:31.760
<v Speaker 1>the social dynamics of that species. Um. And some do

0:32:31.800 --> 0:32:34.800
<v Speaker 1>it by increasing dispersal too, right. When you get that, yeah,

0:32:34.800 --> 0:32:37.240
<v Speaker 1>well that's that sort of ties into the disrupting their

0:32:37.280 --> 0:32:40.040
<v Speaker 1>social thing, you know, especially with coyotes. You know, if

0:32:40.080 --> 0:32:43.360
<v Speaker 1>you have a saturated population of coyotes, they tend to

0:32:43.400 --> 0:32:46.480
<v Speaker 1>suppress breeding in the younger animals and they form more

0:32:46.720 --> 0:32:50.320
<v Speaker 1>family groups. And if you get a lot of mortality there,

0:32:50.360 --> 0:32:53.600
<v Speaker 1>then the family unit breaks up and the young disperse

0:32:53.720 --> 0:32:58.840
<v Speaker 1>and then you've got freedom to breed. So um. But

0:32:58.920 --> 0:33:02.440
<v Speaker 1>with Nutria, the other thing they're looking at was trying

0:33:02.480 --> 0:33:05.760
<v Speaker 1>to determine if there are any sort of parasite loads,

0:33:05.840 --> 0:33:08.600
<v Speaker 1>that sort of things, sort of some basic ecological research

0:33:08.640 --> 0:33:12.320
<v Speaker 1>on how this species exists in the chest Peak region,

0:33:12.720 --> 0:33:17.960
<v Speaker 1>but also trying to estimate populations. And they found it

0:33:18.120 --> 0:33:22.080
<v Speaker 1>challenging uh to catch enough animals to test some of

0:33:22.120 --> 0:33:26.520
<v Speaker 1>their hypotheses with these things, because any market capture study

0:33:27.480 --> 0:33:31.280
<v Speaker 1>requires large sample sizes to come up with a reliable

0:33:31.440 --> 0:33:36.600
<v Speaker 1>estimate of what that population is. And it got to

0:33:36.640 --> 0:33:40.720
<v Speaker 1>a point where I think the folks that were providing

0:33:40.720 --> 0:33:46.320
<v Speaker 1>the funding wanted to see us move into the eradication phase.

0:33:46.640 --> 0:33:48.200
<v Speaker 1>You know, let's see if we can get this done,

0:33:49.320 --> 0:33:52.080
<v Speaker 1>get to the kid right exactly. So in two thousand two,

0:33:52.160 --> 0:33:57.160
<v Speaker 1>Wildlife Services was asked to get involved as the implementing

0:33:57.200 --> 0:33:59.800
<v Speaker 1>agency to to sort of carry out this plan. And

0:33:59.840 --> 0:34:03.200
<v Speaker 1>it was very much an adaptive management type plan. And

0:34:03.280 --> 0:34:07.120
<v Speaker 1>we started at Blackwater. That's where you know the problem originated.

0:34:07.440 --> 0:34:11.840
<v Speaker 1>And uh, we actually had three main study areas that

0:34:11.920 --> 0:34:15.520
<v Speaker 1>were used during the research phase that we started out on,

0:34:15.760 --> 0:34:18.520
<v Speaker 1>and one was at Blackwater National Wildlife Refuge, the other

0:34:18.600 --> 0:34:21.520
<v Speaker 1>was on Fishing Bay Wildlife Management Area, and the third

0:34:21.600 --> 0:34:28.920
<v Speaker 1>was on a private conservation property that was adjacent to

0:34:29.040 --> 0:34:35.359
<v Speaker 1>the Fishing Bay and Blackwater complexes. So that that first

0:34:35.400 --> 0:34:38.000
<v Speaker 1>summer that we got engaged, you know, we worked on

0:34:38.120 --> 0:34:40.960
<v Speaker 1>trying to trap out the study areas that they had

0:34:41.080 --> 0:34:44.240
<v Speaker 1>started doing all this research on. And and those weren't

0:34:44.239 --> 0:34:46.879
<v Speaker 1>like enclosed areas though, no, no, not at and they

0:34:46.880 --> 0:34:50.320
<v Speaker 1>were iceolated. They were tied into the other population correct, correct,

0:34:50.320 --> 0:34:53.800
<v Speaker 1>So they were as I remember, they were about six

0:34:55.320 --> 0:34:59.120
<v Speaker 1>acres uh sort of plots within the black Water, Fishing

0:34:59.120 --> 0:35:02.239
<v Speaker 1>Bay and Tudor Farm system and that's where they had

0:35:02.280 --> 0:35:06.160
<v Speaker 1>done the bulk of the market recapture studies and and

0:35:06.239 --> 0:35:08.400
<v Speaker 1>that sort of thing. So we tried to go in

0:35:08.560 --> 0:35:13.600
<v Speaker 1>and work out our trapping techniques to sort of clear

0:35:13.640 --> 0:35:16.960
<v Speaker 1>out those areas and try to give some closure to

0:35:17.000 --> 0:35:19.200
<v Speaker 1>the mark recapture stuff so that we could get all

0:35:19.200 --> 0:35:23.040
<v Speaker 1>those tagged animals and account for them. It would this

0:35:23.080 --> 0:35:25.960
<v Speaker 1>be a good time to explain how the like, I

0:35:25.960 --> 0:35:28.400
<v Speaker 1>have no idea when you just say you're trapping neutral, Like,

0:35:28.560 --> 0:35:31.759
<v Speaker 1>what did that look like? Yeah? Sure, so we use

0:35:31.840 --> 0:35:36.880
<v Speaker 1>some pretty conventional for trapping techniques. Uh. The core of

0:35:36.920 --> 0:35:40.439
<v Speaker 1>our trapping toolbox was the two twenty counter bear, which

0:35:40.440 --> 0:35:45.240
<v Speaker 1>is an instant kill uh body gripping trap. It's commonly

0:35:46.560 --> 0:35:51.719
<v Speaker 1>pretty near, yes, submerge, it's fast, Yes it is. Um.

0:35:51.880 --> 0:35:57.480
<v Speaker 1>So you know we bought thousands of those things too. Yeah,

0:35:57.600 --> 0:36:02.759
<v Speaker 1>we had fifteen fold wilife specialists running like Victors or

0:36:02.840 --> 0:36:10.040
<v Speaker 1>Northwoods or just whoever. Yeah, I think Sleepy Creek. Actually,

0:36:10.080 --> 0:36:13.560
<v Speaker 1>I think we we had quite a few traps from them.

0:36:13.680 --> 0:36:16.800
<v Speaker 1>Um yeah, body grip and traps coming like serious sizes

0:36:16.840 --> 0:36:20.320
<v Speaker 1>so like there's like the one hundred series sizes which

0:36:20.320 --> 0:36:23.879
<v Speaker 1>are making muskrat. Two hundred series sizes are generally used

0:36:23.920 --> 0:36:31.040
<v Speaker 1>for raccoon, otter neutria fishers, guys who use one tens

0:36:31.120 --> 0:36:34.239
<v Speaker 1>on dry land, one tens for Martin Did I say

0:36:34.280 --> 0:36:36.840
<v Speaker 1>MANK I think I did. Then the three hundred series

0:36:37.080 --> 0:36:41.320
<v Speaker 1>are usually just beaver, but guys used three thirties also

0:36:41.360 --> 0:36:45.279
<v Speaker 1>for wolverines, and some guys liked, uh, some guys like

0:36:45.320 --> 0:36:49.000
<v Speaker 1>three thirties for otters because otters are harder defense into

0:36:49.080 --> 0:36:50.880
<v Speaker 1>a two twenty, but they don't work as good because

0:36:50.880 --> 0:36:53.280
<v Speaker 1>sometimes the otter can pop out of one of the jaws.

0:36:53.360 --> 0:36:57.640
<v Speaker 1>You know, some people like two twenties on those. So

0:36:57.680 --> 0:36:59.880
<v Speaker 1>they make any bigger is that the biggest? Never heard

0:37:00.000 --> 0:37:03.759
<v Speaker 1>anying bigger than three thirty series count of beer? They

0:37:03.800 --> 0:37:06.440
<v Speaker 1>actually do make a couple uh what do they call them?

0:37:06.480 --> 0:37:08.520
<v Speaker 1>Six sixties or something like that, and it's like two

0:37:08.640 --> 0:37:12.359
<v Speaker 1>three thirties welded together, so it's still got the ten

0:37:12.400 --> 0:37:15.520
<v Speaker 1>inch jaw spread from top to bottom, but they're twice

0:37:15.600 --> 0:37:17.600
<v Speaker 1>is wide. Yeah, that's good to throw in the measurements

0:37:17.600 --> 0:37:20.719
<v Speaker 1>because the two twenties or eight right, seven inches I

0:37:20.760 --> 0:37:23.560
<v Speaker 1>believe seven in Okay. Yeah, when you set this thing,

0:37:23.640 --> 0:37:26.880
<v Speaker 1>this looks like a little wirior box right right then.

0:37:27.280 --> 0:37:28.800
<v Speaker 1>But it's got springs out in the three thirty you

0:37:28.800 --> 0:37:31.399
<v Speaker 1>can break your arm, man your arm. Yeah, it's they're

0:37:31.440 --> 0:37:35.520
<v Speaker 1>not pleasant to have your appendage cut in. So you

0:37:35.520 --> 0:37:39.560
<v Speaker 1>guys went out and bought a mountain in the two twenties.

0:37:39.640 --> 0:37:41.480
<v Speaker 1>We bought a mount into two twenties and quite a

0:37:41.560 --> 0:37:44.360
<v Speaker 1>few foothold traps as well. And what what were you

0:37:44.440 --> 0:37:47.759
<v Speaker 1>doing up with those? What size traps? Uh, A lot

0:37:47.800 --> 0:37:50.239
<v Speaker 1>of one and a half coil spring traps, but we

0:37:50.400 --> 0:37:53.280
<v Speaker 1>also use some bigger So Neutria have a much bigger

0:37:53.400 --> 0:37:55.680
<v Speaker 1>hind foot than they do front foot, very much like

0:37:55.760 --> 0:38:00.600
<v Speaker 1>a beaver. And so the uh, the one and a

0:38:00.640 --> 0:38:04.239
<v Speaker 1>half coil spring trap, which has about a four and

0:38:04.239 --> 0:38:07.279
<v Speaker 1>a half inch jospread I think nutrius foot can span

0:38:07.360 --> 0:38:10.120
<v Speaker 1>the entire trap. So unless you catch them by the

0:38:10.160 --> 0:38:12.359
<v Speaker 1>front foot, you run the risk that that they might

0:38:12.440 --> 0:38:15.000
<v Speaker 1>just spring a trap and not get caught. So we

0:38:15.080 --> 0:38:18.439
<v Speaker 1>did have some larger traps that we used, number twos

0:38:18.480 --> 0:38:21.320
<v Speaker 1>and threes. I think that we sometimes set if you

0:38:21.360 --> 0:38:24.239
<v Speaker 1>were set for the hind leg. Yeah, so just just

0:38:24.360 --> 0:38:26.120
<v Speaker 1>for context for people, like a one and a half

0:38:26.200 --> 0:38:30.759
<v Speaker 1>double coil spring is a foothold trap, and that's the

0:38:30.800 --> 0:38:33.800
<v Speaker 1>size generally used. That's like v go to trap for

0:38:34.160 --> 0:38:42.680
<v Speaker 1>raccoon fox. Yeah, right, that that size critter. So and

0:38:42.760 --> 0:38:46.080
<v Speaker 1>it's important to have uh different tools and your trapping

0:38:46.120 --> 0:38:50.719
<v Speaker 1>toolbox because sometimes animals become trap shy. You know, if

0:38:50.760 --> 0:38:54.520
<v Speaker 1>they see a certain uh type of trap in there.

0:38:55.280 --> 0:38:58.799
<v Speaker 1>You know, some animals are less tolerant of new novelties

0:38:58.960 --> 0:39:01.400
<v Speaker 1>in their environment. They'll sort of steer clear of them.

0:39:01.480 --> 0:39:06.239
<v Speaker 1>So foothold trap is easier to camouflage and sort of disguise. Um.

0:39:07.040 --> 0:39:09.200
<v Speaker 1>So we tended to catch the bulk of the animals

0:39:09.239 --> 0:39:11.239
<v Speaker 1>that we captured in the two twenty conno bear. But

0:39:11.280 --> 0:39:14.400
<v Speaker 1>when we had animals that were clearly you know, avoiding

0:39:15.040 --> 0:39:19.480
<v Speaker 1>the body grouping traps, we would set the foothold traps.

0:39:19.560 --> 0:39:23.399
<v Speaker 1>And were you setting those two twenties in the channels? Yeah,

0:39:23.560 --> 0:39:26.560
<v Speaker 1>so we find those swing channels and paths through the

0:39:26.680 --> 0:39:29.160
<v Speaker 1>marsh and just neck them down and stay in there.

0:39:29.239 --> 0:39:35.120
<v Speaker 1>The perfect width, the size channel, perfect perfect width for

0:39:35.239 --> 0:39:38.040
<v Speaker 1>the two twenty. It wasn't it wasn't quite rocket science

0:39:38.080 --> 0:39:40.400
<v Speaker 1>to catch him. But would you guys use those uh

0:39:40.680 --> 0:39:43.000
<v Speaker 1>those basically harness rigs to hold the two twenties so

0:39:43.040 --> 0:39:44.520
<v Speaker 1>you can just stab it into the ground. No, we

0:39:44.560 --> 0:39:48.560
<v Speaker 1>actually used bamboo poles mostly, So we wired the trap

0:39:48.640 --> 0:39:52.719
<v Speaker 1>to a bamboo pole and then uh stuck it through

0:39:53.239 --> 0:39:56.280
<v Speaker 1>the spring in the corner of the trap to provide

0:39:56.360 --> 0:39:59.800
<v Speaker 1>some stabilization and also sort of a visual sort of

0:40:00.600 --> 0:40:03.560
<v Speaker 1>guide to send the animal through. You're calling all this

0:40:03.680 --> 0:40:07.719
<v Speaker 1>gear around what the canoe? A lot of it, well, yeah,

0:40:08.920 --> 0:40:14.319
<v Speaker 1>mostly john boats actually, Um, there are the main waterways

0:40:14.400 --> 0:40:16.239
<v Speaker 1>you can navigate through the marsh, but a lot of

0:40:16.320 --> 0:40:19.719
<v Speaker 1>it was over the shoulder, just carrying stuff through the

0:40:19.760 --> 0:40:22.560
<v Speaker 1>equipment through the marsh. The bamboo poles were kind of

0:40:22.600 --> 0:40:27.640
<v Speaker 1>handy because you could you could uh spring the trap

0:40:27.760 --> 0:40:29.879
<v Speaker 1>on the end of the bamboo pole and then gather

0:40:30.840 --> 0:40:33.440
<v Speaker 1>you know, ten or a dozen polls up with traps

0:40:33.480 --> 0:40:35.319
<v Speaker 1>on and throw him over your shoulder and carry him

0:40:35.320 --> 0:40:39.239
<v Speaker 1>across the marsh. So and it's stuff like that kind

0:40:39.280 --> 0:40:40.920
<v Speaker 1>of circle back to where I was going With the

0:40:40.960 --> 0:40:44.200
<v Speaker 1>importance of maintaining these trapping skills in the community. We

0:40:44.280 --> 0:40:48.960
<v Speaker 1>were very reliant on local knowledge and local trappers on

0:40:49.040 --> 0:40:52.120
<v Speaker 1>this project to understand how to work in this marsh

0:40:52.160 --> 0:40:56.440
<v Speaker 1>effectively and the techniques that that that work best. Because

0:40:57.080 --> 0:41:00.839
<v Speaker 1>while trapping isn't rocket science, it's got a steep learning

0:41:00.920 --> 0:41:04.400
<v Speaker 1>curve for a beginner and uh, you know, it can

0:41:04.440 --> 0:41:08.399
<v Speaker 1>take people a long time to sort of figure things out, uh,

0:41:08.640 --> 0:41:12.800
<v Speaker 1>and an experienced trapper can be very effective at selecting

0:41:13.160 --> 0:41:16.319
<v Speaker 1>the species that they're trying to target and avoiding those

0:41:16.360 --> 0:41:18.960
<v Speaker 1>other species that not but a novice trapper often is

0:41:19.360 --> 0:41:23.200
<v Speaker 1>is uh not as selective. So having that expertise in

0:41:23.239 --> 0:41:26.719
<v Speaker 1>the community, and this translates to much much beyond uh

0:41:27.440 --> 0:41:33.040
<v Speaker 1>you know, nutrient eradication uh. For trappers were incredibly important

0:41:33.040 --> 0:41:36.680
<v Speaker 1>to the restoration of a lot of uh endangered species

0:41:36.960 --> 0:41:39.279
<v Speaker 1>in the United States, wolves being probably one of the

0:41:39.360 --> 0:41:44.600
<v Speaker 1>most prime examples of that. You know, the last remaining

0:41:44.800 --> 0:41:47.440
<v Speaker 1>Mexican wolves were caught by a trapper named Roy McBride

0:41:47.480 --> 0:41:53.640
<v Speaker 1>and pulled into to captivity for a selective breeding program

0:41:53.719 --> 0:41:57.240
<v Speaker 1>to build those populations up and restore them to the wild.

0:41:57.360 --> 0:42:01.600
<v Speaker 1>The Yellowstone Wolf recovery effort was many of those wolves

0:42:01.640 --> 0:42:05.960
<v Speaker 1>were captured and traps set by trappers. Soever some years

0:42:06.000 --> 0:42:08.560
<v Speaker 1>ago some American fur trappers going down to help some

0:42:08.680 --> 0:42:13.719
<v Speaker 1>governments in South America catch jaguars. Yep, yeah, they're uh,

0:42:14.280 --> 0:42:19.080
<v Speaker 1>you know, a good trapper is a very valuable persons

0:42:19.080 --> 0:42:23.279
<v Speaker 1>of the wildlife conservation community. Um. So were you a

0:42:23.360 --> 0:42:26.440
<v Speaker 1>trapper before you got involved with he was trading muscratch

0:42:26.480 --> 0:42:33.040
<v Speaker 1>for haircuts? Yep, Okay, yeah, I was uh certainly not

0:42:33.320 --> 0:42:37.360
<v Speaker 1>a trapper in the sense that the folks here that

0:42:37.560 --> 0:42:39.160
<v Speaker 1>you know, make a living off of But how I

0:42:39.239 --> 0:42:41.799
<v Speaker 1>got started in it, and actually I had I grew

0:42:41.920 --> 0:42:44.680
<v Speaker 1>up with somewhat of a negative opinion of trapping because

0:42:44.800 --> 0:42:47.320
<v Speaker 1>my my grandfather was an avid bird hunter and always

0:42:47.400 --> 0:42:51.719
<v Speaker 1>had bird dogs. Oh yeah, it was gays and he'd

0:42:51.760 --> 0:42:53.960
<v Speaker 1>had a couple of dogs get caught in foothold trap

0:42:54.080 --> 0:42:59.160
<v Speaker 1>there with the Humane Society trapping, So yeah, he he

0:42:59.280 --> 0:43:03.680
<v Speaker 1>had sort of instilled in me this uh lack of appreciation,

0:43:03.760 --> 0:43:07.440
<v Speaker 1>shall I say, for for trapping in general. But you know,

0:43:07.520 --> 0:43:10.600
<v Speaker 1>I went to school for wildlife management, and I came

0:43:10.640 --> 0:43:14.640
<v Speaker 1>out of that, Uh, I went into graduate school for

0:43:15.480 --> 0:43:20.319
<v Speaker 1>uh wildlife ecology, and I was really dying to study carnivores.

0:43:20.360 --> 0:43:23.600
<v Speaker 1>And I managed to land a position, a graduate research

0:43:23.680 --> 0:43:27.480
<v Speaker 1>position at the State University of New York College of

0:43:27.560 --> 0:43:31.200
<v Speaker 1>Environmental Science and Forest We're doing coyote research, and you know,

0:43:31.360 --> 0:43:33.000
<v Speaker 1>for the first time I had to figure out how

0:43:33.040 --> 0:43:38.000
<v Speaker 1>to catch an animal with this sort of traditional for

0:43:38.160 --> 0:43:42.120
<v Speaker 1>harvesting tools. I've done you know, trapping with cage traps

0:43:42.200 --> 0:43:45.359
<v Speaker 1>for pine martin and other critters like that, but I'd

0:43:45.400 --> 0:43:50.680
<v Speaker 1>never for research. Yeah, but I've never set you know,

0:43:50.960 --> 0:43:53.640
<v Speaker 1>foothold traps, and so I had to learn how to

0:43:53.719 --> 0:43:57.160
<v Speaker 1>do it to catch study animals for my project. And

0:43:57.239 --> 0:43:59.720
<v Speaker 1>when you're making, you know, a stipend of eight hundred

0:43:59.760 --> 0:44:03.719
<v Speaker 1>bucks a month, it doesn't quite make ends meet and

0:44:04.960 --> 0:44:07.400
<v Speaker 1>learning a trap. And I'm also driving through all of

0:44:07.480 --> 0:44:10.720
<v Speaker 1>this probably muskrat country, and I'm seeing farmers with problems

0:44:10.760 --> 0:44:13.440
<v Speaker 1>with beavers and all that sort of stuff. And so

0:44:13.560 --> 0:44:15.920
<v Speaker 1>I just started learning. And I was very fortunate to

0:44:16.000 --> 0:44:20.360
<v Speaker 1>have a renowned fur buyer and trapper in the community

0:44:20.440 --> 0:44:23.960
<v Speaker 1>that I was living in in upstate New York, Paul

0:44:24.000 --> 0:44:31.719
<v Speaker 1>Grimshaw Grimshaw, and uh, he didn't exactly take me under

0:44:31.800 --> 0:44:35.680
<v Speaker 1>his wing. He's kind of a ordinary old guy, but

0:44:35.880 --> 0:44:40.960
<v Speaker 1>once you sort of connected with him, he'd start sharing knowledge.

0:44:41.000 --> 0:44:42.960
<v Speaker 1>And so I learned a tremendous amount from him. I

0:44:43.160 --> 0:44:46.120
<v Speaker 1>just go and watch and his wife's skin and stretch

0:44:46.239 --> 0:44:51.440
<v Speaker 1>muskrat pelts, and just learned, you know, the kind of

0:44:51.480 --> 0:44:54.279
<v Speaker 1>tricks of the trade for catching some of these other furbears.

0:44:54.360 --> 0:44:56.840
<v Speaker 1>And and I was able to supplement my income, you know,

0:44:57.000 --> 0:45:01.080
<v Speaker 1>not tremendous. I wasn't out there buying cars or anything

0:45:01.160 --> 0:45:03.279
<v Speaker 1>with it. But when you make a hundred bucks a month,

0:45:03.560 --> 0:45:07.879
<v Speaker 1>an extra month's salary, and in the course of a year.

0:45:08.360 --> 0:45:10.600
<v Speaker 1>It really helped out quite a bit. So I was

0:45:10.640 --> 0:45:12.719
<v Speaker 1>telling you honest the other day about I used to sell.

0:45:13.440 --> 0:45:16.800
<v Speaker 1>I didn't flesh and stretch my own raccoons. He's like,

0:45:16.960 --> 0:45:19.040
<v Speaker 1>no one likes doing that, you know. And I would

0:45:19.040 --> 0:45:21.799
<v Speaker 1>sell him to a fur buyer who would who would

0:45:21.920 --> 0:45:26.719
<v Speaker 1>uh got named Abe sell salicina Um. He was a

0:45:26.760 --> 0:45:30.600
<v Speaker 1>tomato enthusiast who grew tomatoes and bought fur. And you

0:45:30.600 --> 0:45:32.880
<v Speaker 1>would go into his selling raccoons and he'd be in

0:45:32.920 --> 0:45:35.480
<v Speaker 1>there and he'd heat his he'd heat his barn with

0:45:35.640 --> 0:45:38.560
<v Speaker 1>raccoon fat, no kidding, he'd open that door and take

0:45:38.560 --> 0:45:45.440
<v Speaker 1>a job with that raccoon in there like black smoke. Well,

0:45:45.480 --> 0:45:47.440
<v Speaker 1>you know it was it was neat to be in

0:45:47.600 --> 0:45:51.200
<v Speaker 1>such proximity to it, to Paul Grimshaw because you know,

0:45:51.360 --> 0:45:54.920
<v Speaker 1>he was an expert in putting up furs and whatnot.

0:45:55.000 --> 0:45:58.080
<v Speaker 1>So you know, I put up my own fur from

0:45:58.719 --> 0:46:01.000
<v Speaker 1>when I was doing that, and I enjoyed that part

0:46:01.000 --> 0:46:02.480
<v Speaker 1>of It's kind of like put you in your own meat.

0:46:02.600 --> 0:46:05.560
<v Speaker 1>You know, you're kind of taking that process from start

0:46:05.640 --> 0:46:07.440
<v Speaker 1>to finish, and you know, you get more money for

0:46:08.200 --> 0:46:12.200
<v Speaker 1>for when it's when it's put up properly get less

0:46:12.239 --> 0:46:14.399
<v Speaker 1>when it's put up poorly. But um, I think they'd

0:46:14.480 --> 0:46:17.279
<v Speaker 1>rather buy green fur than than poorly put up for

0:46:17.480 --> 0:46:22.839
<v Speaker 1>But that's like that like lingo is uh green fur

0:46:22.960 --> 0:46:25.719
<v Speaker 1>would be skinned but not flash and stretched if you

0:46:25.760 --> 0:46:28.719
<v Speaker 1>sold a muskrat like guys would also sell muskrats in

0:46:28.800 --> 0:46:33.600
<v Speaker 1>the round, which would mean just pull up at the end,

0:46:33.719 --> 0:46:35.560
<v Speaker 1>run your line and drive up and sell the guy

0:46:35.719 --> 0:46:37.480
<v Speaker 1>muskrats in the round. You might be selling them for

0:46:37.560 --> 0:46:40.719
<v Speaker 1>half what you'd get if you sold them stretched exactly.

0:46:42.200 --> 0:46:46.080
<v Speaker 1>So that was a real uh learning experience for me,

0:46:46.239 --> 0:46:48.320
<v Speaker 1>And the thing I liked about it is that it

0:46:49.080 --> 0:46:52.719
<v Speaker 1>really makes you step back and take time to learn

0:46:52.719 --> 0:46:55.080
<v Speaker 1>about animals you normally wouldn't even think about. You know

0:46:55.160 --> 0:46:58.600
<v Speaker 1>who thinks about muskrats unless you're trying to catch them.

0:46:58.760 --> 0:47:01.440
<v Speaker 1>And then so just I learned a whole lot about

0:47:01.560 --> 0:47:05.160
<v Speaker 1>the ecology of the region and and the behavior of

0:47:05.200 --> 0:47:08.120
<v Speaker 1>the animals, and the importance of different habitat types than

0:47:08.239 --> 0:47:11.440
<v Speaker 1>what lives there through this process of learning how to

0:47:11.520 --> 0:47:14.000
<v Speaker 1>trap and uh so when you call. But when you

0:47:14.080 --> 0:47:16.800
<v Speaker 1>caught wind of the you had to go apply for

0:47:16.880 --> 0:47:18.879
<v Speaker 1>the new Tria job or was it just like fall

0:47:18.960 --> 0:47:21.800
<v Speaker 1>into your lap No, I had to apply for it. So,

0:47:22.600 --> 0:47:24.720
<v Speaker 1>you know, when I was working in the Virginia Wildlife

0:47:24.719 --> 0:47:29.720
<v Speaker 1>Services program, every state has Wildlife Services has a program

0:47:29.840 --> 0:47:33.080
<v Speaker 1>in every state just about and so I was working

0:47:33.280 --> 0:47:39.399
<v Speaker 1>through the Virginia Division of Wildlife Services and we would

0:47:39.440 --> 0:47:42.840
<v Speaker 1>have these annual conferences where all the different states surrounding

0:47:42.880 --> 0:47:45.640
<v Speaker 1>would get together and intermingle. And for a couple of

0:47:45.760 --> 0:47:48.480
<v Speaker 1>years there I was hearing them talk about this Nutria

0:47:48.520 --> 0:47:52.600
<v Speaker 1>eradication study that they were undertaking in Maryland. And at

0:47:52.640 --> 0:47:56.440
<v Speaker 1>the time, Maryland Wildlife Services wasn't getting involved. We had

0:47:56.480 --> 0:47:59.120
<v Speaker 1>a state director at the time that was close to

0:47:59.239 --> 0:48:02.279
<v Speaker 1>retirement and I think it wasn't really all that keen

0:48:02.400 --> 0:48:06.440
<v Speaker 1>to take on this sort of massive project. Um. But

0:48:06.560 --> 0:48:11.600
<v Speaker 1>he retired and a new guy came in and jumped

0:48:11.640 --> 0:48:14.680
<v Speaker 1>on the opportunity to work with a fish and wildlife

0:48:14.719 --> 0:48:18.320
<v Speaker 1>service and UH put this vacancy announcement out there, and

0:48:19.680 --> 0:48:22.160
<v Speaker 1>Jesus sounded interesting to me. I had no idea what

0:48:22.239 --> 0:48:24.080
<v Speaker 1>a new trio was. I had to look it up

0:48:25.040 --> 0:48:27.759
<v Speaker 1>and I put my name in the hat. And I

0:48:27.840 --> 0:48:32.080
<v Speaker 1>don't know how I got picked, but I did experience. Yeah,

0:48:32.120 --> 0:48:37.520
<v Speaker 1>I guess so, um, but I feel very fortunate to

0:48:37.680 --> 0:48:40.200
<v Speaker 1>have been selected for that position because it's the kind

0:48:40.200 --> 0:48:43.680
<v Speaker 1>of thing that that doesn't happen too often in your

0:48:43.719 --> 0:48:45.880
<v Speaker 1>career where you get to work on a project that

0:48:46.040 --> 0:48:51.560
<v Speaker 1>just has sort of profound impacts on conservation and ecology

0:48:51.600 --> 0:48:54.680
<v Speaker 1>and results that you can see on the ground. And

0:48:54.840 --> 0:48:59.319
<v Speaker 1>so the position was and it was everything you liked. Man. Yeah.

0:48:59.400 --> 0:49:02.040
<v Speaker 1>I was able to take all of the skills that

0:49:02.160 --> 0:49:05.320
<v Speaker 1>I developed through my personal passions hunting and trapping and

0:49:05.440 --> 0:49:08.480
<v Speaker 1>that sort of thing and sort of devote them to

0:49:08.760 --> 0:49:13.120
<v Speaker 1>solving a conservation problem. And it really was rewarding to

0:49:13.200 --> 0:49:17.520
<v Speaker 1>be able to do that. And also, you know, I

0:49:17.600 --> 0:49:20.640
<v Speaker 1>have to give full credit to the guys that and

0:49:20.800 --> 0:49:23.440
<v Speaker 1>Gales that really got this job done because I was

0:49:23.560 --> 0:49:26.160
<v Speaker 1>not the trapper out there. I did trap some, but

0:49:27.600 --> 0:49:31.040
<v Speaker 1>I was a project manager, so I was supervising the team.

0:49:31.520 --> 0:49:36.400
<v Speaker 1>Uh uh, We're developing the strategies to you know, how

0:49:36.440 --> 0:49:40.759
<v Speaker 1>to work and devote our resources across the landscape and

0:49:41.000 --> 0:49:42.400
<v Speaker 1>you know, when is it time to move from this

0:49:42.520 --> 0:49:45.319
<v Speaker 1>area to that area? That sort of thing. Making sure

0:49:45.400 --> 0:49:48.280
<v Speaker 1>that guy's had all the equipment that they needed, the boats,

0:49:48.320 --> 0:49:52.160
<v Speaker 1>the motors, the waiters, the traps, all that stuff. Um.

0:49:53.880 --> 0:49:57.600
<v Speaker 1>So that was sort of my role, and uh, you know,

0:49:57.719 --> 0:50:02.160
<v Speaker 1>the opportunity to supervisor was link to me. I didn't

0:50:02.920 --> 0:50:04.840
<v Speaker 1>think so when I first got into wildlife that I

0:50:05.000 --> 0:50:09.440
<v Speaker 1>really want to be managing people, but you know, realizing

0:50:09.480 --> 0:50:14.040
<v Speaker 1>how much more you can accomplished by harnessing the energy

0:50:14.120 --> 0:50:19.520
<v Speaker 1>of others. Ah, it was a neat opportunity. So I'm

0:50:19.560 --> 0:50:21.160
<v Speaker 1>getting backed up on questions. They had a couple of

0:50:21.200 --> 0:50:25.239
<v Speaker 1>quickies out of context, out of order. Were you hiring

0:50:25.280 --> 0:50:28.879
<v Speaker 1>trapper trappers or you hiring or did that not? That's

0:50:28.880 --> 0:50:30.040
<v Speaker 1>not how it worked, Like, you didn't come in and

0:50:30.120 --> 0:50:34.200
<v Speaker 1>hire existing for trappers, so do the physical trapping. So

0:50:34.960 --> 0:50:38.080
<v Speaker 1>the research phase of the project had hired some local

0:50:38.160 --> 0:50:40.719
<v Speaker 1>trappers as part of the team. And when we came

0:50:40.760 --> 0:50:45.560
<v Speaker 1>to develop methodologies, yeah, well to implement the research study

0:50:45.640 --> 0:50:49.440
<v Speaker 1>that they designed. So that was primarily using cage traps,

0:50:49.760 --> 0:50:54.640
<v Speaker 1>um and some foothold traps. Uh. But they did reach

0:50:54.680 --> 0:50:57.120
<v Speaker 1>out to the local community and got a handful of

0:50:57.520 --> 0:51:00.400
<v Speaker 1>folks that were uh you know, born and raised in

0:51:00.440 --> 0:51:03.880
<v Speaker 1>the chest Peak Bay, knew how to trap and how

0:51:03.960 --> 0:51:06.440
<v Speaker 1>to handle animals and all that stuff, and so we

0:51:06.560 --> 0:51:10.720
<v Speaker 1>inherited when the Wildlife Services program took over they wanted

0:51:10.760 --> 0:51:13.040
<v Speaker 1>to provide a home for those you know, employment for

0:51:13.120 --> 0:51:15.799
<v Speaker 1>those folks that have dedicated themselves to the research phase

0:51:15.840 --> 0:51:19.240
<v Speaker 1>of the project, and so we were able to hire

0:51:19.320 --> 0:51:22.520
<v Speaker 1>them when we came on board. Not all of them

0:51:22.680 --> 0:51:26.080
<v Speaker 1>chose to come with us, so I had some vacancies

0:51:26.160 --> 0:51:28.759
<v Speaker 1>to fill, and you know, we put out vacancy announcements

0:51:29.719 --> 0:51:33.400
<v Speaker 1>and uh we tried to recruit locally, and we also

0:51:33.680 --> 0:51:37.640
<v Speaker 1>tried to recruit uh young wildlife professionals that we're just

0:51:37.760 --> 0:51:40.000
<v Speaker 1>getting out of college and starting their careers. And I

0:51:40.040 --> 0:51:42.920
<v Speaker 1>always strove to have a sort of a balance of

0:51:43.000 --> 0:51:46.800
<v Speaker 1>the two because those uh, those greenhorns don't know what

0:51:46.880 --> 0:51:49.439
<v Speaker 1>they're doing and they need someone to kind of show

0:51:49.480 --> 0:51:51.640
<v Speaker 1>them the ropes and whatnot. But they bring a lot

0:51:51.680 --> 0:51:54.640
<v Speaker 1>of energy and passion to their their work as well, um,

0:51:54.840 --> 0:52:00.319
<v Speaker 1>and it helps them in their career steppe. And then

0:52:00.360 --> 0:52:03.960
<v Speaker 1>our our sort of uh I always call them our

0:52:04.040 --> 0:52:08.440
<v Speaker 1>veteran employees. They weren't military veterans necessarily, but but the

0:52:08.480 --> 0:52:10.480
<v Speaker 1>folks that have been with a project from the beginning,

0:52:10.520 --> 0:52:13.480
<v Speaker 1>and our folks that were that were taught on the

0:52:13.560 --> 0:52:16.280
<v Speaker 1>Chess Peak, they went to the School of the Chesapeake,

0:52:16.360 --> 0:52:19.120
<v Speaker 1>you know, to learn their trade, and so those folks

0:52:19.200 --> 0:52:22.919
<v Speaker 1>would provide kind of the stability and the long term

0:52:23.320 --> 0:52:27.479
<v Speaker 1>institutional knowledge that we needed to keep the project going

0:52:27.600 --> 0:52:32.279
<v Speaker 1>because this is a long term project. So okay, so

0:52:33.320 --> 0:52:34.880
<v Speaker 1>the second quickie and then I'm gonna get into a

0:52:34.920 --> 0:52:39.320
<v Speaker 1>longer question. Um, what what do you guys do with

0:52:39.360 --> 0:52:42.040
<v Speaker 1>all the nutrita that you trap? You probably can't utilize

0:52:42.040 --> 0:52:44.200
<v Speaker 1>them because it's part of the government project, correct, So,

0:52:44.480 --> 0:52:46.640
<v Speaker 1>and there was no market for them or anything like that.

0:52:46.840 --> 0:52:50.400
<v Speaker 1>There's no use for the meats or anything. So at

0:52:50.440 --> 0:52:54.560
<v Speaker 1>first we were instructed to remove all of the carcasses

0:52:54.680 --> 0:52:58.799
<v Speaker 1>from the field and we're gonna compost them or bury

0:52:58.920 --> 0:53:08.440
<v Speaker 1>them or or do something. Pardon me, but uh, we

0:53:08.600 --> 0:53:11.800
<v Speaker 1>quickly found and at this time that that sort of

0:53:12.160 --> 0:53:15.719
<v Speaker 1>rule was put in place, we had expected that there

0:53:15.800 --> 0:53:18.359
<v Speaker 1>would be tens of thousands of nutrient that we were

0:53:18.400 --> 0:53:21.840
<v Speaker 1>going to be catching. And when reality said in we

0:53:21.920 --> 0:53:24.640
<v Speaker 1>started doing the trapping, had been coome become clear that

0:53:24.719 --> 0:53:27.320
<v Speaker 1>the population had begun to decline and we weren't catching

0:53:27.400 --> 0:53:30.600
<v Speaker 1>nearly the numbers that we expected. Began to decline because

0:53:30.640 --> 0:53:35.600
<v Speaker 1>of the trapping. No, not necessarily. I think the population

0:53:35.680 --> 0:53:38.680
<v Speaker 1>on its own had started sort of dwindling. And part

0:53:38.760 --> 0:53:41.640
<v Speaker 1>of the probably reason is probably that they had eaten

0:53:41.719 --> 0:53:43.719
<v Speaker 1>themselves out of house and home in many of these areas,

0:53:43.760 --> 0:53:47.160
<v Speaker 1>so there's habitat that was no longer there. They were

0:53:48.080 --> 0:53:53.440
<v Speaker 1>estimated to reach densities of gosh I should have boned

0:53:53.520 --> 0:53:59.480
<v Speaker 1>up on some of my my memory here um eight

0:53:59.560 --> 0:54:03.640
<v Speaker 1>to nine six to nine per square acre or per acre.

0:54:04.400 --> 0:54:09.520
<v Speaker 1>So at those densities, uh, which are tremendous densities. You know,

0:54:09.640 --> 0:54:12.440
<v Speaker 1>you could have seen thirty five to fifty thod neutrient blackwater,

0:54:12.640 --> 0:54:15.640
<v Speaker 1>but wipe five thousand acres habitat off the map and

0:54:16.080 --> 0:54:21.480
<v Speaker 1>got significantly fewer. So we were bringing the carcasses back,

0:54:21.560 --> 0:54:23.320
<v Speaker 1>but there weren't that many of them, and there's a

0:54:23.360 --> 0:54:26.200
<v Speaker 1>big concern for removing them from the marsh was the

0:54:26.880 --> 0:54:30.600
<v Speaker 1>potential for avian and avian batuli is um with all

0:54:30.640 --> 0:54:35.399
<v Speaker 1>these rotting carcasses out there potentially being fed on by birds. Yeah,

0:54:35.600 --> 0:54:42.920
<v Speaker 1>just this massive carrying that that would potentially create problems

0:54:43.000 --> 0:54:49.719
<v Speaker 1>for other wildlife. But it was very time consuming. They

0:54:49.760 --> 0:54:52.360
<v Speaker 1>remove the animals from the field. You know, at fifteen

0:54:52.360 --> 0:54:54.520
<v Speaker 1>pounds a piece, he gets four or five of them,

0:54:54.560 --> 0:54:57.880
<v Speaker 1>you've got sixty pounds of carcasses that you're hauling around,

0:54:58.600 --> 0:55:01.680
<v Speaker 1>So it was impeding our progress, and it didn't seem

0:55:01.760 --> 0:55:05.799
<v Speaker 1>like there were numbers that would contribute to the kind

0:55:05.840 --> 0:55:08.000
<v Speaker 1>of concerns that we initially had going into it. So

0:55:08.160 --> 0:55:11.319
<v Speaker 1>we opted at that point to leave the carcasses out

0:55:11.360 --> 0:55:15.920
<v Speaker 1>in the field, and very quickly the scavengers would would

0:55:16.280 --> 0:55:19.839
<v Speaker 1>convert them back to you know, ashes to ashes, dust

0:55:19.880 --> 0:55:22.719
<v Speaker 1>to dust, so it didn't turn out to be so

0:55:22.880 --> 0:55:24.719
<v Speaker 1>much of an issue to have to remove them from

0:55:24.760 --> 0:55:27.480
<v Speaker 1>the field, and that freed us up to you know,

0:55:27.640 --> 0:55:30.279
<v Speaker 1>better to spend our time moving traps and carrying more

0:55:30.360 --> 0:55:36.880
<v Speaker 1>traps out than carrying the exactly. So the longer question, no,

0:55:36.960 --> 0:55:41.719
<v Speaker 1>I got that quickie. Uh, what was the public perception

0:55:42.840 --> 0:55:47.200
<v Speaker 1>of the idea that we're gonna kill all the nutriments

0:55:47.239 --> 0:55:50.560
<v Speaker 1>get rid of them wholesale? People like good idea or

0:55:50.719 --> 0:55:53.399
<v Speaker 1>people like that's a horrible idea, not whether you can

0:55:53.640 --> 0:55:57.560
<v Speaker 1>not whether it's plausible, but whether it's like advisable. Right, So,

0:55:57.640 --> 0:56:02.680
<v Speaker 1>anytime you implement some sort of lethal management of wildlife populations,

0:56:02.719 --> 0:56:08.320
<v Speaker 1>there's often a outcry of public sentiment that opposes that.

0:56:09.320 --> 0:56:13.560
<v Speaker 1>But because of the ecological impact that these critters had

0:56:13.880 --> 0:56:19.600
<v Speaker 1>and it was obvious to anyone familiar with this ecosystem. Uh,

0:56:20.040 --> 0:56:23.239
<v Speaker 1>the ecological justification was so compelling that there was really

0:56:23.400 --> 0:56:26.879
<v Speaker 1>very little backlash. Add to that that you know, it's

0:56:26.920 --> 0:56:29.880
<v Speaker 1>basically a twenty pound rat doesn't generate a whole lot

0:56:29.960 --> 0:56:34.800
<v Speaker 1>of sympathy, But that wasn't more. Yeah that that that's

0:56:35.400 --> 0:56:38.000
<v Speaker 1>good information, And I like that you said it, but

0:56:38.080 --> 0:56:41.600
<v Speaker 1>I meant I wasn't so much interested in those guys.

0:56:42.120 --> 0:56:45.200
<v Speaker 1>I was interested in to people who actually liked the

0:56:45.320 --> 0:56:48.759
<v Speaker 1>neutral But you no do both versions. I hadn't even

0:56:48.800 --> 0:56:51.680
<v Speaker 1>intested you're you're talking about like the the animal welfare,

0:56:52.560 --> 0:56:55.080
<v Speaker 1>because I'm talking about the guys who were out there

0:56:55.560 --> 0:57:02.160
<v Speaker 1>perhaps hunting trapp and eating selling. So again back to

0:57:02.520 --> 0:57:07.440
<v Speaker 1>muskrat is the king um Nutria had a pretty detrimental

0:57:07.480 --> 0:57:14.120
<v Speaker 1>impact on muskrat populations, both and competition displacement competition, so

0:57:14.480 --> 0:57:20.080
<v Speaker 1>Neutria UH would in the winter months in particular, dig

0:57:20.160 --> 0:57:24.760
<v Speaker 1>into muskrat houses to try to seek refuge from UH

0:57:25.120 --> 0:57:28.240
<v Speaker 1>cold weather or sit on top of them and basking

0:57:28.320 --> 0:57:31.720
<v Speaker 1>the sun and whatnot, and they would basically destroy the

0:57:32.120 --> 0:57:36.640
<v Speaker 1>muskrat house for muskrats. So, you know, we had a

0:57:36.760 --> 0:57:41.120
<v Speaker 1>less valuable critter having a negative impact on a really

0:57:41.200 --> 0:57:44.880
<v Speaker 1>important and so there was no opposition. So there was

0:57:44.920 --> 0:57:48.200
<v Speaker 1>really no one who had any kind of reasonable widespread

0:57:49.600 --> 0:57:52.960
<v Speaker 1>that you should We had, you know, one landowner that

0:57:53.040 --> 0:57:54.880
<v Speaker 1>I worked with, and that's something I should mention too,

0:57:55.000 --> 0:57:57.760
<v Speaker 1>is that this project would have been inconceivable without the

0:57:57.800 --> 0:58:00.400
<v Speaker 1>support of private landowners because more than for the new

0:58:00.440 --> 0:58:02.720
<v Speaker 1>tria that we eventually removed came from private land. So

0:58:03.440 --> 0:58:08.320
<v Speaker 1>having their support was critical. Uh, as a federal agency,

0:58:09.160 --> 0:58:12.280
<v Speaker 1>a non regulatory wildlife services can't just go on private

0:58:12.320 --> 0:58:14.960
<v Speaker 1>property and conduct our work. We have to have their

0:58:14.960 --> 0:58:16.960
<v Speaker 1>permission and blessing, and they have to prove all the

0:58:17.040 --> 0:58:20.360
<v Speaker 1>methods that we use. So I had one farmer that

0:58:20.560 --> 0:58:23.960
<v Speaker 1>we encountered who refused us access to his property because

0:58:24.480 --> 0:58:28.000
<v Speaker 1>according to what he said was he liked to eat

0:58:28.080 --> 0:58:31.520
<v Speaker 1>nutrient and I like to have him a little refrigerator

0:58:31.560 --> 0:58:33.440
<v Speaker 1>out in the back forty where he could go and

0:58:34.280 --> 0:58:39.480
<v Speaker 1>pluck some neutria for dinner on occasion. Um. Fortunately, it

0:58:39.600 --> 0:58:41.480
<v Speaker 1>wasn't a big area and we were able to sort

0:58:41.520 --> 0:58:44.440
<v Speaker 1>of trap around it and kind of pull the animals

0:58:44.520 --> 0:58:47.000
<v Speaker 1>that were on his property off, so it didn't impede

0:58:47.040 --> 0:58:50.840
<v Speaker 1>our progress in the long term. But what mostly come

0:58:50.880 --> 0:58:53.640
<v Speaker 1>down to, I think is there's a fairly significant anti

0:58:53.880 --> 0:58:57.920
<v Speaker 1>government sentiment in the community just about anywhere you go,

0:58:58.040 --> 0:59:03.240
<v Speaker 1>but it's particularly noticeable here in Dorchester County. You know,

0:59:03.320 --> 0:59:05.960
<v Speaker 1>there's a lot of government regulations with you know, wetlands

0:59:06.040 --> 0:59:11.960
<v Speaker 1>and and harvested animals, fish, commercial fisheries and crabs and

0:59:12.040 --> 0:59:14.120
<v Speaker 1>all that sort of thing. So there's just this sort

0:59:14.160 --> 0:59:22.840
<v Speaker 1>of general resentment to government intrusion and peoples right, So

0:59:24.760 --> 0:59:28.960
<v Speaker 1>there wasn't that opposition, um and then from the animal

0:59:29.040 --> 0:59:32.520
<v Speaker 1>welfare side there also wasn't opposition, which is interesting because

0:59:32.560 --> 0:59:36.480
<v Speaker 1>at the same time that we were undertaking this eradication campaign,

0:59:36.960 --> 0:59:40.760
<v Speaker 1>the Maryland Department Natural Resources was trying to deal with

0:59:41.080 --> 0:59:47.800
<v Speaker 1>a rapidly expanding mute swan population had reached, another non

0:59:47.880 --> 0:59:52.120
<v Speaker 1>native species that does an aquatic ecosystems very much what

0:59:52.360 --> 0:59:57.240
<v Speaker 1>neutria do to these uh wetland ecosystems. So they feed

0:59:57.320 --> 1:00:01.320
<v Speaker 1>on the mute swans feed on the subaquatic uh submerged

1:00:01.600 --> 1:00:06.560
<v Speaker 1>aquatic vegetation that's really critical habitat for all sorts of fish, crabs,

1:00:06.680 --> 1:00:08.800
<v Speaker 1>and you know, it provides a nursery for all these

1:00:08.880 --> 1:00:12.600
<v Speaker 1>juvenile species and they'll go in imagine we're talking about

1:00:12.640 --> 1:00:18.120
<v Speaker 1>imagine the most beautiful, picturesque swan that you would just

1:00:18.240 --> 1:00:22.120
<v Speaker 1>want to protect and cuddle exactly, like take pictures of

1:00:22.240 --> 1:00:25.520
<v Speaker 1>and cuddle with. Yep. And they had been a population

1:00:25.680 --> 1:00:30.919
<v Speaker 1>master of the marsh. They had reached populations as close

1:00:31.000 --> 1:00:35.840
<v Speaker 1>to and explain like their explain their impact on ducks.

1:00:36.280 --> 1:00:40.680
<v Speaker 1>So they're very aggressive birds, and they will chase native

1:00:40.720 --> 1:00:44.400
<v Speaker 1>waterfall and shorebirds and displace them off of uh, the

1:00:44.480 --> 1:00:47.000
<v Speaker 1>nesting grounds and feeding grounds and stuff. So they're they're

1:00:47.000 --> 1:00:50.200
<v Speaker 1>pretty uh yeah, they'll play nice, they don't play He's like,

1:00:50.280 --> 1:00:52.080
<v Speaker 1>you know, I'm gonna nest here, and no one's gonna

1:00:52.120 --> 1:00:56.040
<v Speaker 1>nest within a hundred yards of my nest exactly. And

1:00:56.200 --> 1:01:00.120
<v Speaker 1>so in response to that initiative that the Department at

1:01:00.160 --> 1:01:04.800
<v Speaker 1>your Resources what's taking on, uh, there were animal welfare

1:01:04.800 --> 1:01:10.360
<v Speaker 1>groups erecting uh billboards along Route fifty save our swans,

1:01:10.440 --> 1:01:13.600
<v Speaker 1>and messages to the governor Andrew the ducks saved the

1:01:13.640 --> 1:01:19.040
<v Speaker 1>swans manly. So to their credit, the DNR persisted and

1:01:19.120 --> 1:01:21.680
<v Speaker 1>they have whittled that population down last I heard too,

1:01:22.040 --> 1:01:25.680
<v Speaker 1>probably less than fifty. So that you know, we got

1:01:26.000 --> 1:01:30.080
<v Speaker 1>to two big ecological problems that have been you know,

1:01:30.160 --> 1:01:32.360
<v Speaker 1>dealt with in this region over the past, and a

1:01:32.400 --> 1:01:35.240
<v Speaker 1>lot of that anti sentiment went into swans and not

1:01:35.360 --> 1:01:39.400
<v Speaker 1>into roads. Yeah, it was perhaps a bit of a distraction,

1:01:39.520 --> 1:01:43.280
<v Speaker 1>but you know, I I think that there's a an element.

1:01:44.720 --> 1:01:48.160
<v Speaker 1>A lot of these groups are reliant on donations for

1:01:49.160 --> 1:01:54.080
<v Speaker 1>uh their solvency, and people are much more willing to

1:01:54.120 --> 1:01:56.520
<v Speaker 1>open their wallet for a big, beautiful white bird than

1:01:57.560 --> 1:02:00.200
<v Speaker 1>brown twenty pound rat. But is it a weird because

1:02:00.240 --> 1:02:02.920
<v Speaker 1>you're kind of defending I mean, it's not weird at

1:02:02.920 --> 1:02:06.600
<v Speaker 1>all because people are people, and you look at things

1:02:06.640 --> 1:02:11.120
<v Speaker 1>and you you know, we tend to like and admire

1:02:11.560 --> 1:02:15.320
<v Speaker 1>animals that strike us as beautiful. But if you're if

1:02:15.360 --> 1:02:18.160
<v Speaker 1>you're based on the idea that you're just defending sentient life,

1:02:18.920 --> 1:02:21.959
<v Speaker 1>like you don't want to see damage come to sentient life.

1:02:22.560 --> 1:02:25.840
<v Speaker 1>It shouldn't matter if it's a swan or a giant rodent.

1:02:26.480 --> 1:02:28.920
<v Speaker 1>It's like it's a sentient being. Yeah, a man as

1:02:28.920 --> 1:02:30.840
<v Speaker 1>a pig, as a dog, as a boy. But people

1:02:31.240 --> 1:02:36.400
<v Speaker 1>uh really tend to um get very interested in defending

1:02:36.520 --> 1:02:41.120
<v Speaker 1>things that are that are you know, instagram worthy creatures

1:02:41.880 --> 1:02:45.600
<v Speaker 1>more sold than the ugly ones. Well in the cynic

1:02:45.680 --> 1:02:48.720
<v Speaker 1>in me says, it's you know, it's driven more by

1:02:49.400 --> 1:02:53.400
<v Speaker 1>money than it is by by commitment to the cause,

1:02:53.480 --> 1:02:56.360
<v Speaker 1>because that's where you get funding. Who's gonna who's gonna

1:02:56.800 --> 1:03:00.920
<v Speaker 1>pull out their wallet to save nutrient? Yeah? Um, So

1:03:01.040 --> 1:03:03.400
<v Speaker 1>we were fortunate not to have to battle that sort

1:03:03.480 --> 1:03:10.440
<v Speaker 1>of of opposition to the program. And much to our surprise,

1:03:10.520 --> 1:03:12.960
<v Speaker 1>when we started reaching out to private landowners, when we

1:03:13.200 --> 1:03:17.120
<v Speaker 1>kind of expected, given the government sentiments anti government sentiments,

1:03:17.160 --> 1:03:23.360
<v Speaker 1>that we would have a hard time, people were opening

1:03:23.400 --> 1:03:25.720
<v Speaker 1>their doors to us. Uh. You know, I can't tell

1:03:25.720 --> 1:03:28.000
<v Speaker 1>you how many kitchens I sat in with my laptop,

1:03:28.080 --> 1:03:31.280
<v Speaker 1>computer and a little slide show talking to farmers and

1:03:31.320 --> 1:03:34.160
<v Speaker 1>other landowners about what we were attempting to do and

1:03:34.240 --> 1:03:39.200
<v Speaker 1>why it was important for their assistance and whatnot. And hundreds,

1:03:39.280 --> 1:03:42.640
<v Speaker 1>hundreds of landowners gave us access to tens of thousands

1:03:42.680 --> 1:03:45.960
<v Speaker 1>of private acres of private property so that we could

1:03:46.000 --> 1:03:48.760
<v Speaker 1>be successful in this, And a lot of them did

1:03:48.800 --> 1:03:52.480
<v Speaker 1>it sort of begrudgingly. You know, they didn't think we'd

1:03:52.520 --> 1:03:55.280
<v Speaker 1>be successful. Uh, maybe you could catch them all. No,

1:03:55.880 --> 1:03:58.520
<v Speaker 1>hell no, you'll never get the last one. I don't

1:03:58.560 --> 1:04:00.720
<v Speaker 1>even know why you guys are wasting all this government

1:04:00.760 --> 1:04:04.720
<v Speaker 1>money on there. But as one farmer I remember distinctly said,

1:04:04.760 --> 1:04:06.280
<v Speaker 1>but I'm not going to be the stick in the

1:04:06.400 --> 1:04:11.640
<v Speaker 1>mud to keep you guys from from trying, so, you know,

1:04:11.840 --> 1:04:13.960
<v Speaker 1>and we had a couple of key landowners that came

1:04:14.040 --> 1:04:17.040
<v Speaker 1>on board early that sort of helped us set the stage.

1:04:17.120 --> 1:04:20.680
<v Speaker 1>And you know, well, if if so and so let

1:04:20.760 --> 1:04:23.880
<v Speaker 1>you on his property, I guess I'll let you on mine.

1:04:24.680 --> 1:04:29.120
<v Speaker 1>And I think one of the most the biggest compliments

1:04:29.120 --> 1:04:32.000
<v Speaker 1>I ever got working on this project over the twelve

1:04:32.120 --> 1:04:34.720
<v Speaker 1>years that I was on it was from that farmer

1:04:34.800 --> 1:04:36.320
<v Speaker 1>that said he didn't want to be the stick in

1:04:36.360 --> 1:04:39.080
<v Speaker 1>the mud to stand in the way of trying to

1:04:39.200 --> 1:04:42.080
<v Speaker 1>do this. But he had told me that there's no

1:04:42.160 --> 1:04:43.640
<v Speaker 1>way in hell we were ever going to get the

1:04:43.760 --> 1:04:46.880
<v Speaker 1>last ones or probably even make a dent in the population.

1:04:47.720 --> 1:04:49.800
<v Speaker 1>And a couple of years after we had sort of

1:04:49.880 --> 1:04:53.960
<v Speaker 1>swept through his area, um, I ran into him at

1:04:54.000 --> 1:04:55.520
<v Speaker 1>a gas station. He came up to me and said,

1:04:55.560 --> 1:04:58.200
<v Speaker 1>you know, I never thought i'd say this, but I've

1:04:58.240 --> 1:05:01.000
<v Speaker 1>gotta I gotta eat some crow here. He said, I

1:05:01.160 --> 1:05:04.240
<v Speaker 1>never thought you guys could have done what you did

1:05:04.320 --> 1:05:07.480
<v Speaker 1>eliminating those New Tria so I've been out and he

1:05:07.600 --> 1:05:09.200
<v Speaker 1>was a bird hunter and he would take his dogs

1:05:09.240 --> 1:05:11.520
<v Speaker 1>and he used to take his labs out and and

1:05:11.800 --> 1:05:14.280
<v Speaker 1>uh hunt new Trea in the marshes behind his house.

1:05:14.360 --> 1:05:16.920
<v Speaker 1>And he said, I haven't seen a new tree in

1:05:17.000 --> 1:05:19.200
<v Speaker 1>two years. And I don't know where they all went.

1:05:19.400 --> 1:05:22.760
<v Speaker 1>But how you guys did it? But you know, it's

1:05:22.880 --> 1:05:26.360
<v Speaker 1>it's an amazing thing that you've accomplished here. So and

1:05:26.640 --> 1:05:28.520
<v Speaker 1>you know, it wasn't like we just went out and

1:05:28.600 --> 1:05:30.800
<v Speaker 1>trapped one time and removed. It was a constant effort

1:05:30.840 --> 1:05:33.200
<v Speaker 1>of going back and sweeping through and looking and making

1:05:33.240 --> 1:05:36.000
<v Speaker 1>sure that we didn't leave anything behind. We'll back up

1:05:36.040 --> 1:05:38.200
<v Speaker 1>to how back up to the first when he first

1:05:38.400 --> 1:05:42.560
<v Speaker 1>isolated a test area and went for it. How long,

1:05:43.120 --> 1:05:46.000
<v Speaker 1>like like roughly, how big was the test area? And

1:05:46.080 --> 1:05:49.439
<v Speaker 1>how long did it take to wipe out the test area?

1:05:49.520 --> 1:05:52.840
<v Speaker 1>And then how did you monitor it to see that

1:05:52.920 --> 1:05:56.560
<v Speaker 1>you've got them all? So the test area began with

1:05:56.800 --> 1:06:02.360
<v Speaker 1>these original six acre parcels or study sites, three of each.

1:06:03.480 --> 1:06:08.640
<v Speaker 1>I think they're a total of I can't even remember now. Uh,

1:06:10.200 --> 1:06:15.000
<v Speaker 1>there were three study sites on each property, and so

1:06:15.400 --> 1:06:17.880
<v Speaker 1>we went in and we we just intensively trapped them

1:06:17.920 --> 1:06:22.640
<v Speaker 1>off We created a grid across the entire UH study site,

1:06:22.680 --> 1:06:25.440
<v Speaker 1>and then we deployed our trappers in sort of rose

1:06:25.520 --> 1:06:27.560
<v Speaker 1>and columns, like a checkerboard type thing, and then we

1:06:28.200 --> 1:06:32.360
<v Speaker 1>trapped across and saturated the whole area with traps. But

1:06:33.160 --> 1:06:36.920
<v Speaker 1>these were basically islands in a sea of occupied habitat,

1:06:37.080 --> 1:06:40.840
<v Speaker 1>so we very quickly could tell that that just immigration,

1:06:41.480 --> 1:06:44.880
<v Speaker 1>we were creating a big population sink, but that if

1:06:44.920 --> 1:06:46.480
<v Speaker 1>we were really going to do this and test the

1:06:46.560 --> 1:06:49.840
<v Speaker 1>feasibility of eradication on a landscape scale, we couldn't do

1:06:49.880 --> 1:06:52.360
<v Speaker 1>it on these little six hundred acre plots. So we

1:06:52.520 --> 1:06:55.720
<v Speaker 1>finished those out just to provide closure to that research project,

1:06:56.200 --> 1:07:00.280
<v Speaker 1>and then we sort of reimagined the whole landscape, and

1:07:00.440 --> 1:07:04.200
<v Speaker 1>starting at the western edge of Blackwater National Wildlife Refuge,

1:07:04.760 --> 1:07:09.760
<v Speaker 1>we created a huge grid over that entire landscape. Forty

1:07:09.840 --> 1:07:14.720
<v Speaker 1>acres about four or yards per side was the size

1:07:14.760 --> 1:07:19.680
<v Speaker 1>of these trapping units, and we would stack our trappers

1:07:19.800 --> 1:07:23.000
<v Speaker 1>up in in these rows and they would work east

1:07:23.040 --> 1:07:26.280
<v Speaker 1>to west or west to east across the marsh, sequentially

1:07:26.320 --> 1:07:31.840
<v Speaker 1>trapping each UH, trapping each grid square. So we basically

1:07:31.920 --> 1:07:34.640
<v Speaker 1>had a swath of intensive trapping activity that kind of

1:07:34.720 --> 1:07:37.800
<v Speaker 1>moved across the landscape. We call it rolling thunder because

1:07:37.840 --> 1:07:41.880
<v Speaker 1>it sounded cool, right, So how many how many traps

1:07:41.960 --> 1:07:44.720
<v Speaker 1>was rolling thunder running per night? And how many how

1:07:44.760 --> 1:07:47.400
<v Speaker 1>many new trew we were stacking up per day? So

1:07:48.120 --> 1:07:51.600
<v Speaker 1>we had we sat pretty heavily at the beginning. Um,

1:07:53.000 --> 1:07:54.320
<v Speaker 1>there are a lot of new tree to catch. We

1:07:54.400 --> 1:07:57.560
<v Speaker 1>wanted to remove them as quickly as possible, and so

1:07:57.960 --> 1:08:03.240
<v Speaker 1>we uh, we would have hundreds each employee. We could

1:08:03.280 --> 1:08:05.919
<v Speaker 1>have a couple of hundred traps out at any given time.

1:08:06.760 --> 1:08:09.000
<v Speaker 1>So with fifteen employees working on it, you know, we

1:08:09.240 --> 1:08:11.360
<v Speaker 1>we had a couple of thousand traps out at any

1:08:11.520 --> 1:08:14.960
<v Speaker 1>any given point of time. And so what we do

1:08:15.240 --> 1:08:18.240
<v Speaker 1>is we set the first row or column of of

1:08:18.479 --> 1:08:22.360
<v Speaker 1>trapping grids up and then once that was saturated and

1:08:22.520 --> 1:08:25.920
<v Speaker 1>things started to catch, you know, you'll see a really

1:08:26.960 --> 1:08:29.479
<v Speaker 1>uh you'll catch a lot of animals at first, and

1:08:29.560 --> 1:08:33.080
<v Speaker 1>then it'll start to dwindle off and tail off. So

1:08:34.600 --> 1:08:37.640
<v Speaker 1>when we started to see that dwindling in the first row,

1:08:37.720 --> 1:08:40.080
<v Speaker 1>we'd start taking some of those traps and rolling them

1:08:40.120 --> 1:08:42.400
<v Speaker 1>into the second row and getting that one set up.

1:08:43.000 --> 1:08:47.960
<v Speaker 1>So we just kind of leap frogged ourselves along and

1:08:48.200 --> 1:08:50.640
<v Speaker 1>it worked quite well. And what we did looking at

1:08:50.680 --> 1:08:54.360
<v Speaker 1>the numbers is that and this was one of the

1:08:54.439 --> 1:08:56.599
<v Speaker 1>things that we tried to do at the very beginning

1:08:56.600 --> 1:09:00.880
<v Speaker 1>of the research phase was this mark recapture population estimate. Uh.

1:09:01.040 --> 1:09:04.120
<v Speaker 1>We found it was actually much more accurate to just

1:09:04.240 --> 1:09:07.040
<v Speaker 1>go out and remove all the animals and one fell

1:09:07.120 --> 1:09:09.559
<v Speaker 1>swoop and count them all. Um. And what it turns

1:09:09.600 --> 1:09:12.960
<v Speaker 1>out is that we could trap out a particular grid

1:09:14.080 --> 1:09:17.880
<v Speaker 1>in about three weeks time, and you know, so we

1:09:17.960 --> 1:09:20.720
<v Speaker 1>would catch looking at the numbers over time, we'd catch

1:09:20.760 --> 1:09:24.160
<v Speaker 1>about of all the animals that occupied that plot in

1:09:24.240 --> 1:09:26.600
<v Speaker 1>the first week of trapping. By the end of the

1:09:26.680 --> 1:09:31.080
<v Speaker 1>second week we tried captured. By the end of the

1:09:31.160 --> 1:09:35.200
<v Speaker 1>third week, we've trapped about and then we would continue

1:09:35.240 --> 1:09:38.479
<v Speaker 1>to catch onesies and twosies for that remaining five percent.

1:09:38.720 --> 1:09:41.120
<v Speaker 1>Over the it might take an additional four weeks to

1:09:41.640 --> 1:09:44.160
<v Speaker 1>get all those. So if you rolled into a new

1:09:44.240 --> 1:09:47.559
<v Speaker 1>area it was real hot, and you did a main

1:09:47.680 --> 1:09:49.599
<v Speaker 1>set and you got a few hundred traps in the water,

1:09:50.200 --> 1:09:54.200
<v Speaker 1>what might the first catch be, like what percent trap

1:09:54.479 --> 1:09:58.799
<v Speaker 1>of traps would be full? It depended on the trapper.

1:09:58.880 --> 1:10:01.600
<v Speaker 1>There's a lot of variability there. Um. You know, some

1:10:01.680 --> 1:10:04.479
<v Speaker 1>of the more experienced trappers would set fewer and more targeted,

1:10:04.560 --> 1:10:07.280
<v Speaker 1>and others would set more broadly and trying to catch

1:10:07.320 --> 1:10:10.040
<v Speaker 1>them out once. And I honestly, I can't tell you.

1:10:10.280 --> 1:10:14.280
<v Speaker 1>I remember anybody that had a double digit day was

1:10:14.680 --> 1:10:17.080
<v Speaker 1>feeling pretty good about their efforts. You know. You know

1:10:17.120 --> 1:10:19.160
<v Speaker 1>what's the thing that I think of him when I

1:10:19.200 --> 1:10:23.760
<v Speaker 1>used to trap muskrats is that when you went into

1:10:24.040 --> 1:10:30.400
<v Speaker 1>an area, you couldn't if you were being like forward thinking,

1:10:31.479 --> 1:10:34.000
<v Speaker 1>you wouldn't run more than two or you'd never run

1:10:34.080 --> 1:10:36.479
<v Speaker 1>more than two or three nights because if you went

1:10:36.560 --> 1:10:38.160
<v Speaker 1>into a marsh and and ice trapped a lot of

1:10:38.240 --> 1:10:41.880
<v Speaker 1>isolated Okay, so if you went into a marsh and

1:10:43.040 --> 1:10:45.160
<v Speaker 1>set up it's like I got a good number of

1:10:45.200 --> 1:10:50.400
<v Speaker 1>muskrats the first night, you might so the first night's catch,

1:10:50.520 --> 1:10:52.799
<v Speaker 1>so you sat during the day, let them sit overnight,

1:10:52.920 --> 1:10:55.840
<v Speaker 1>check them the next day. That night you might run

1:10:56.000 --> 1:11:01.720
<v Speaker 1>six full traps. I mean, if you knew what you're

1:11:01.760 --> 1:11:06.080
<v Speaker 1>doing right the next night, you're gonna go back. And

1:11:06.120 --> 1:11:09.960
<v Speaker 1>that's gonna drop down to if you if you were

1:11:10.000 --> 1:11:14.679
<v Speaker 1>like a smart guy thinking about next year's season, you'd

1:11:14.760 --> 1:11:17.800
<v Speaker 1>pull at that point. I could imagine and I know

1:11:17.880 --> 1:11:20.240
<v Speaker 1>you never did this because it just wasn't it wasn't practical,

1:11:20.280 --> 1:11:22.320
<v Speaker 1>and there's no motivation to do it. But I could

1:11:22.360 --> 1:11:25.920
<v Speaker 1>imagine just now here listening to you, just imagine like, yeah,

1:11:25.920 --> 1:11:28.920
<v Speaker 1>if you stayed in that marsh for two weeks, three

1:11:29.040 --> 1:11:33.439
<v Speaker 1>weeks and kept running all those sets, you could absolutely yeah.

1:11:33.840 --> 1:11:36.360
<v Speaker 1>But but there you're talking about isolated spots. It's hard.

1:11:36.439 --> 1:11:38.040
<v Speaker 1>I mean, they obviously got there in the first place,

1:11:38.080 --> 1:11:39.920
<v Speaker 1>but it's a you know, it's not it's not to

1:11:40.000 --> 1:11:42.519
<v Speaker 1>matter them just swimming over to your area. They have

1:11:42.600 --> 1:11:44.840
<v Speaker 1>to do it across land spring. You know, they'll migrate

1:11:44.880 --> 1:11:47.240
<v Speaker 1>in the spring. But yeah, man, thinking about it now,

1:11:47.280 --> 1:11:49.560
<v Speaker 1>I could totally picture you could just like but just

1:11:50.120 --> 1:11:53.920
<v Speaker 1>for three weeks, nothing nothing, nothing. Oh here's another one,

1:11:54.000 --> 1:11:56.680
<v Speaker 1>nothing nothing, there's another one. You'd eventually just probably get him.

1:11:57.520 --> 1:12:01.000
<v Speaker 1>And so that is the most critical opponent. You know,

1:12:01.040 --> 1:12:03.760
<v Speaker 1>there are a number of factors that you have to meet,

1:12:03.960 --> 1:12:07.160
<v Speaker 1>criteria have to meet for eradication of any species to

1:12:07.280 --> 1:12:12.600
<v Speaker 1>be feasible. So you know, in an eradication campaign like this,

1:12:12.720 --> 1:12:16.040
<v Speaker 1>a trapping based eradication campaign, that's sort of like all

1:12:16.080 --> 1:12:18.200
<v Speaker 1>the other kind of management things you hear about that

1:12:18.760 --> 1:12:22.240
<v Speaker 1>eight percent of your energy is spent on this or whatnot.

1:12:22.280 --> 1:12:27.160
<v Speaker 1>And what what we found out is that that like

1:12:28.160 --> 1:12:32.680
<v Speaker 1>eight of our energy was spent capturing the last few

1:12:32.800 --> 1:12:36.560
<v Speaker 1>animals in a population. They get trap shy on you,

1:12:36.920 --> 1:12:39.560
<v Speaker 1>they get trap shy, and it's just, uh, you know,

1:12:40.120 --> 1:12:42.960
<v Speaker 1>it gets down to fewer animals leave less signs, So

1:12:43.080 --> 1:12:46.040
<v Speaker 1>where exactly are they? Um? And then that's a lot

1:12:46.080 --> 1:12:48.960
<v Speaker 1>of activity on the marsh, so their their behavioral change

1:12:49.000 --> 1:12:50.960
<v Speaker 1>will change the way they use the marsh, and they'll

1:12:51.040 --> 1:12:53.800
<v Speaker 1>move and different times of the year there, you know,

1:12:53.880 --> 1:12:56.160
<v Speaker 1>in the summertime they can go anywhere they want because

1:12:56.160 --> 1:12:59.360
<v Speaker 1>there's an abundance of food everywhere. So you know, you'd

1:12:59.360 --> 1:13:01.599
<v Speaker 1>find a little pocket and you'd set traps and then

1:13:01.640 --> 1:13:03.720
<v Speaker 1>you did not catch anything and find that they've moved

1:13:03.760 --> 1:13:06.040
<v Speaker 1>two hundred yards and so you gotta go find them.

1:13:06.080 --> 1:13:08.519
<v Speaker 1>And are you guys toting around twenty two as well

1:13:08.560 --> 1:13:11.639
<v Speaker 1>into shooting when you see them. Yeah, in the winter

1:13:11.720 --> 1:13:15.600
<v Speaker 1>months in particular, we would uh do systematic hunting. So

1:13:15.800 --> 1:13:19.400
<v Speaker 1>when the marsh froze, yeah, I don't know what that means,

1:13:19.520 --> 1:13:23.000
<v Speaker 1>but when the uh, when the marsh would freeze in

1:13:23.000 --> 1:13:25.080
<v Speaker 1>the wintertime, if we were so lucky, to get that

1:13:25.200 --> 1:13:28.200
<v Speaker 1>and a little dusting of snow we could catch and

1:13:28.720 --> 1:13:30.719
<v Speaker 1>we could shoot a lot of nutrient a short amount

1:13:30.760 --> 1:13:33.000
<v Speaker 1>of time just getting out on that marsh and hunt them,

1:13:33.720 --> 1:13:37.760
<v Speaker 1>you know. So that the whole concept of all of

1:13:37.840 --> 1:13:42.240
<v Speaker 1>this energy being consumed using you know, catching the last

1:13:42.360 --> 1:13:47.400
<v Speaker 1>few animals really forced us to think about uh kind

1:13:47.439 --> 1:13:52.400
<v Speaker 1>of different strategies to find those remaining animals. And one

1:13:52.439 --> 1:13:55.840
<v Speaker 1>of the things that you mentioned earlier asked if there

1:13:55.880 --> 1:13:58.400
<v Speaker 1>was any opposition, and there actually was a little bit.

1:13:58.880 --> 1:14:02.000
<v Speaker 1>Um there were some folks that thought that we should

1:14:02.040 --> 1:14:04.800
<v Speaker 1>just offer a bounty and that the local trappers take

1:14:04.840 --> 1:14:06.920
<v Speaker 1>care of the problem if you off for a bounty. Yeah,

1:14:06.960 --> 1:14:08.760
<v Speaker 1>but they're only gonna they're not gonna chase after the

1:14:08.840 --> 1:14:12.920
<v Speaker 1>last exactly. And so that was why we elected to

1:14:14.400 --> 1:14:17.479
<v Speaker 1>we're essentially paying people to check empty traps, you know,

1:14:17.960 --> 1:14:20.439
<v Speaker 1>the stuff they caught at the beginning. Well, that's that's

1:14:20.479 --> 1:14:23.120
<v Speaker 1>the easy part. The hard part is catching the last few,

1:14:23.280 --> 1:14:27.240
<v Speaker 1>and that's where we need to to keep that effort going.

1:14:28.560 --> 1:14:33.720
<v Speaker 1>And so the the trick became how to find more

1:14:33.800 --> 1:14:36.800
<v Speaker 1>efficiently those last remaining animals, And we tried a number

1:14:36.840 --> 1:14:39.600
<v Speaker 1>of different things to do that. One of those was

1:14:40.600 --> 1:14:44.880
<v Speaker 1>utilizing neutria themselves to find other neutria. So I had

1:14:44.920 --> 1:14:47.240
<v Speaker 1>gone to some conferences and met with some folks that

1:14:47.280 --> 1:14:52.479
<v Speaker 1>work internationally on invasive species eradication campaigns and whatnot. And

1:14:52.560 --> 1:14:55.800
<v Speaker 1>in the gallopagus, they'd used Judas goats. So they had

1:14:55.960 --> 1:14:59.439
<v Speaker 1>these goats that they captured and put radio collars on them,

1:14:59.520 --> 1:15:02.200
<v Speaker 1>our gp S colors, and they let them go their

1:15:02.479 --> 1:15:05.559
<v Speaker 1>social and gregarious creature. So they seek out other goats.

1:15:05.640 --> 1:15:07.679
<v Speaker 1>And they would go up in a helicopter and find

1:15:07.840 --> 1:15:11.639
<v Speaker 1>these Judas goats that they put out there, and then

1:15:11.920 --> 1:15:16.639
<v Speaker 1>uh take out all of the other animals that all

1:15:16.760 --> 1:15:18.919
<v Speaker 1>the new all the new friends that he'd made exactly.

1:15:19.960 --> 1:15:24.840
<v Speaker 1>And so, knowing that nutria or social uh and sought

1:15:24.880 --> 1:15:27.200
<v Speaker 1>out other nutria, I thought, oh, I wonder if this

1:15:27.280 --> 1:15:31.040
<v Speaker 1>could work for us. So well, I'm pardon my ignorant ignorance.

1:15:31.160 --> 1:15:36.960
<v Speaker 1>Where does the Judas um? What's like some kind of

1:15:37.000 --> 1:15:40.800
<v Speaker 1>pagan household? You guessed it. That's how you do grow up,

1:15:40.840 --> 1:15:48.360
<v Speaker 1>some kind of pagan household. So Judas betrayed Christ. Yeah,

1:15:49.040 --> 1:15:53.320
<v Speaker 1>in the in the in the Last Supper painting. He's

1:15:53.320 --> 1:15:54.880
<v Speaker 1>the only one that won't look at He's the only

1:15:54.920 --> 1:15:59.880
<v Speaker 1>one not looking at Christ. Yeah, betrayed to the room.

1:16:02.000 --> 1:16:05.880
<v Speaker 1>I'm glad he's here as the historian to answer that question.

1:16:06.120 --> 1:16:08.519
<v Speaker 1>I know it was biblical, but I don't like to

1:16:08.560 --> 1:16:10.840
<v Speaker 1>go too deep into that biblical stuff. So thank you

1:16:11.120 --> 1:16:14.840
<v Speaker 1>well you have providing that insight. But but yeah, so

1:16:15.320 --> 1:16:22.280
<v Speaker 1>we can't you here fell about name of Moses. Yeah,

1:16:24.760 --> 1:16:29.880
<v Speaker 1>I didn't know how deep we had dive here. So

1:16:30.080 --> 1:16:33.320
<v Speaker 1>we we actually got a special grant to look at

1:16:34.120 --> 1:16:38.479
<v Speaker 1>whether or not this concept would be feasible because we

1:16:38.520 --> 1:16:41.000
<v Speaker 1>didn't want to sort of detract from ongoing efforts to

1:16:41.080 --> 1:16:44.840
<v Speaker 1>trap and remove by diverting funds. So we got some

1:16:45.280 --> 1:16:48.719
<v Speaker 1>additional grant funding to support this effort from the National

1:16:48.800 --> 1:16:53.240
<v Speaker 1>Fish and Wildlife Foundation and we captured a bunch of neutria.

1:16:53.360 --> 1:16:57.000
<v Speaker 1>We had them surgically sterilized because we didn't want to

1:16:57.040 --> 1:17:01.479
<v Speaker 1>be releasing animals that could then you know, escape us

1:17:01.640 --> 1:17:04.320
<v Speaker 1>and begin breeding out there, and as quickly as they breed,

1:17:04.360 --> 1:17:06.439
<v Speaker 1>we knew that could be a problem as as well

1:17:06.520 --> 1:17:09.559
<v Speaker 1>as a perception issue. You know, here we are spending

1:17:09.600 --> 1:17:14.920
<v Speaker 1>millions of dollars to so so they were all surgically sterilized.

1:17:14.960 --> 1:17:19.879
<v Speaker 1>The males were vasectimized and the females had a tubal ligation.

1:17:20.360 --> 1:17:25.200
<v Speaker 1>Had I had the former yeah, um, And then we

1:17:25.280 --> 1:17:28.880
<v Speaker 1>put radio collars and in some instances they also had

1:17:28.920 --> 1:17:31.439
<v Speaker 1>a GPS collar on them that stored the data that

1:17:31.560 --> 1:17:34.680
<v Speaker 1>it collected on board. So at the time the technology

1:17:34.840 --> 1:17:39.720
<v Speaker 1>was still pretty limiting that that we couldn't uh you know,

1:17:39.840 --> 1:17:42.960
<v Speaker 1>these devices take a lot of power, and power means

1:17:43.080 --> 1:17:46.559
<v Speaker 1>big batteries, and putting a big package on a smaller

1:17:46.840 --> 1:17:50.519
<v Speaker 1>animal was especially one that's got the body confirmation of

1:17:50.560 --> 1:17:55.960
<v Speaker 1>a nutrient, it's challenging. So we had these little devices

1:17:56.040 --> 1:17:58.280
<v Speaker 1>custom made by a company in New Zealand that that

1:17:58.960 --> 1:18:01.760
<v Speaker 1>made them recharge bowl and they would collect data for

1:18:01.840 --> 1:18:04.840
<v Speaker 1>about a month and then it would store it all

1:18:04.880 --> 1:18:07.080
<v Speaker 1>on board and we'd go back out and catch those

1:18:07.120 --> 1:18:11.760
<v Speaker 1>animals and retrieve that GPS unit downloaded, and we could

1:18:11.760 --> 1:18:14.599
<v Speaker 1>see everywhere that that neutria had been. Every ninety minutes

1:18:14.640 --> 1:18:16.600
<v Speaker 1>it would collect the location. We could see where it

1:18:16.680 --> 1:18:20.120
<v Speaker 1>had been over the past month. And he's an unfamiliar

1:18:20.160 --> 1:18:22.360
<v Speaker 1>train when you turn them loose, correct we So the

1:18:22.560 --> 1:18:26.439
<v Speaker 1>the intent here was to determine if we left nutria

1:18:26.520 --> 1:18:28.880
<v Speaker 1>behind in areas we already tripped so we would release

1:18:28.960 --> 1:18:31.200
<v Speaker 1>them into areas that we thought were devoid of nutria.

1:18:32.000 --> 1:18:34.640
<v Speaker 1>Well o and behold, some of these animals started, uh,

1:18:35.040 --> 1:18:38.240
<v Speaker 1>moving pretty widely across the landscape. They also, the color

1:18:38.320 --> 1:18:40.920
<v Speaker 1>also had a standard radio transmitter, and so we could

1:18:40.920 --> 1:18:42.519
<v Speaker 1>actually go out and track it on a day to

1:18:42.600 --> 1:18:44.639
<v Speaker 1>day basis, so we would at least know the general

1:18:44.760 --> 1:18:49.000
<v Speaker 1>vicinity they were in. And uh, we noticed, you know,

1:18:49.120 --> 1:18:53.560
<v Speaker 1>after some wide movements across the landscape miles. Yeah, in

1:18:53.680 --> 1:18:59.880
<v Speaker 1>some cases, uh, once they sort of sort of can

1:19:00.000 --> 1:19:03.880
<v Speaker 1>elaborated into a smaller area, I thought, I wonder if

1:19:03.920 --> 1:19:07.000
<v Speaker 1>there could be other nutrient there. You know, it's spending

1:19:07.000 --> 1:19:08.800
<v Speaker 1>a lot of time in this one area. So we'd

1:19:08.840 --> 1:19:10.920
<v Speaker 1>go out and we'd set our cage traps to try

1:19:10.960 --> 1:19:14.720
<v Speaker 1>to catch these animals back and lo and behold, we

1:19:14.840 --> 1:19:17.720
<v Speaker 1>caught a few animals that were not tagged. I was like,

1:19:18.520 --> 1:19:20.880
<v Speaker 1>this could work in areas he thought you had trapped

1:19:20.880 --> 1:19:24.920
<v Speaker 1>out right, So we knew there was a likelihood there

1:19:24.960 --> 1:19:27.559
<v Speaker 1>are probably some animals. But you know, we had done

1:19:27.560 --> 1:19:32.000
<v Speaker 1>the initial knockdown, uh, and we'd gone back through and

1:19:32.240 --> 1:19:35.600
<v Speaker 1>it sort of mopped up. Those are kind of terminologies

1:19:35.640 --> 1:19:38.519
<v Speaker 1>we used to describe the different phases of the eradication campaign,

1:19:39.280 --> 1:19:42.840
<v Speaker 1>and so it wasn't a complete surprise to us, but

1:19:42.960 --> 1:19:46.080
<v Speaker 1>it sure was handy to know where they were um

1:19:46.439 --> 1:19:50.479
<v Speaker 1>from these critters. But the problem that we had tracking

1:19:50.560 --> 1:19:53.400
<v Speaker 1>them on a daily basis with their radio collars is

1:19:53.439 --> 1:19:55.960
<v Speaker 1>that because they moved so far, and because it's a

1:19:56.400 --> 1:19:59.840
<v Speaker 1>thick vegetation environment and they're often in the water, so

1:20:00.080 --> 1:20:03.280
<v Speaker 1>the signal from that device doesn't travel that far. You

1:20:03.360 --> 1:20:05.920
<v Speaker 1>had to be pretty close to even to take the signal.

1:20:06.760 --> 1:20:08.840
<v Speaker 1>So in cases where they might have moved two or

1:20:08.880 --> 1:20:11.800
<v Speaker 1>three miles overnight, we would spend all day, you know,

1:20:11.920 --> 1:20:16.400
<v Speaker 1>trying to find them. And so it turned out that

1:20:16.600 --> 1:20:20.639
<v Speaker 1>while the technique worked to expose the existence of other

1:20:20.720 --> 1:20:25.120
<v Speaker 1>nutrient in the environment, from an operational standpoint, it wasn't

1:20:25.120 --> 1:20:28.240
<v Speaker 1>really practical. I mean the human resources that it took

1:20:28.280 --> 1:20:30.519
<v Speaker 1>to just keep up with these animals. So what would

1:20:30.560 --> 1:20:33.080
<v Speaker 1>have really been valuable was to have had a GPS

1:20:33.160 --> 1:20:37.320
<v Speaker 1>collar that could, through either cell phone technology or satellite technology,

1:20:37.920 --> 1:20:41.400
<v Speaker 1>relay that information to us remotely. And then so that

1:20:41.520 --> 1:20:45.240
<v Speaker 1>exists for a lot of different species that it can

1:20:45.360 --> 1:20:51.120
<v Speaker 1>carry that additional battery. I want to ask you questions

1:20:51.200 --> 1:20:54.880
<v Speaker 1>not related to Nutria is related to tracking devices. So

1:20:55.960 --> 1:21:01.120
<v Speaker 1>let's say, let's just say that, uh, you know that

1:21:01.240 --> 1:21:07.320
<v Speaker 1>in your state there is a coloring program going on

1:21:07.520 --> 1:21:13.240
<v Speaker 1>with elk, and you know there are some elk wearing collars. Um,

1:21:15.800 --> 1:21:18.840
<v Speaker 1>what prevents a person who just likes to tinker with

1:21:18.960 --> 1:21:23.880
<v Speaker 1>kind of stuff? What presents prevents a person from finding uh,

1:21:25.000 --> 1:21:26.920
<v Speaker 1>from building up his own kid to go track that

1:21:27.080 --> 1:21:30.479
<v Speaker 1>same to go track those same animals just to find

1:21:30.479 --> 1:21:32.439
<v Speaker 1>out where elk hereds are so you can go on them.

1:21:33.400 --> 1:21:35.759
<v Speaker 1>So a couple of things make it difficult. It's certainly

1:21:35.800 --> 1:21:40.000
<v Speaker 1>not impossible, and that's been an issue in places, I'm sure. Um,

1:21:40.720 --> 1:21:45.360
<v Speaker 1>But the FCC designates certain bandwidths for government research, and

1:21:46.439 --> 1:21:48.240
<v Speaker 1>you know you can get these kinds of devices for

1:21:48.320 --> 1:21:50.519
<v Speaker 1>hunting dogs and that sort of thing, So they sort

1:21:50.520 --> 1:21:53.640
<v Speaker 1>of segregate the use categories of the different bandwidths, so

1:21:53.720 --> 1:21:57.400
<v Speaker 1>that make it hurts or frequencies that that these things

1:21:57.520 --> 1:22:03.639
<v Speaker 1>admit on. And so the the systems that are used

1:22:03.720 --> 1:22:08.240
<v Speaker 1>for wildlife tracking, they're not generally available to the public. Um.

1:22:08.720 --> 1:22:13.000
<v Speaker 1>And there it's fairly expensive too. So UM, it's it

1:22:13.080 --> 1:22:18.360
<v Speaker 1>doesn't happen too often, but it's certainly can happen and

1:22:18.439 --> 1:22:21.280
<v Speaker 1>there's no um so there would be like a there

1:22:21.280 --> 1:22:23.360
<v Speaker 1>would be a component of law would come into it

1:22:23.400 --> 1:22:25.640
<v Speaker 1>that you're using frequencies you're not supposed to use or

1:22:25.720 --> 1:22:29.080
<v Speaker 1>is that just you know, I don't know. I don't

1:22:29.080 --> 1:22:31.160
<v Speaker 1>even I've never had anybody say to me that they

1:22:31.160 --> 1:22:33.479
<v Speaker 1>were trying to do this. This just always puzzled me

1:22:34.560 --> 1:22:37.280
<v Speaker 1>that right that you always more if you would be

1:22:37.360 --> 1:22:40.599
<v Speaker 1>like breaking a law to go out with a receiver

1:22:41.479 --> 1:22:43.960
<v Speaker 1>of some sort and be like and also sort of

1:22:44.040 --> 1:22:47.040
<v Speaker 1>tracking collared animals the same way that the researchers tracking

1:22:47.080 --> 1:22:50.639
<v Speaker 1>them well, And so we had actually an interesting thing there.

1:22:50.920 --> 1:22:54.280
<v Speaker 1>I'm not sure about the legality of it, but researchers

1:22:54.320 --> 1:22:58.800
<v Speaker 1>in general, uh keep it really tightly in on color frequencies.

1:22:59.000 --> 1:23:02.479
<v Speaker 1>You know, it's not for me aastion that they share readily,

1:23:02.640 --> 1:23:05.600
<v Speaker 1>so they keep that pretty close to the vest so

1:23:05.720 --> 1:23:07.599
<v Speaker 1>that you don't have problems like that. But we had

1:23:07.760 --> 1:23:09.800
<v Speaker 1>we talked to the reason I first started thinking about this.

1:23:09.880 --> 1:23:13.320
<v Speaker 1>Remember your friend up in Fairbanks who had all those

1:23:13.360 --> 1:23:16.160
<v Speaker 1>moves collared. And one day I made a joke being like,

1:23:16.200 --> 1:23:17.800
<v Speaker 1>I bet there's a lot of dudes and Fairbanks that

1:23:17.960 --> 1:23:21.920
<v Speaker 1>like to track those moves with you because you just

1:23:22.040 --> 1:23:25.080
<v Speaker 1>had ones that were out in honorable areas, you know,

1:23:26.360 --> 1:23:29.639
<v Speaker 1>so sorry, go ahead. Well, so the way the government,

1:23:29.720 --> 1:23:32.639
<v Speaker 1>the FCC divvys up these bandwidths, so like the federal

1:23:32.680 --> 1:23:37.360
<v Speaker 1>government gets you know, one six, four dot whatever, and

1:23:38.240 --> 1:23:44.080
<v Speaker 1>private or academic institutions get a totally different bandwidth. So

1:23:44.479 --> 1:23:48.240
<v Speaker 1>in theory, you shouldn't have all of this sort of overlapping. Uh.

1:23:48.439 --> 1:23:51.160
<v Speaker 1>You know, when when I call up a telemetry company

1:23:51.200 --> 1:23:53.800
<v Speaker 1>and say order a little bunch of collars, I don't

1:23:53.800 --> 1:23:57.720
<v Speaker 1>get to pick and choose my my frequencies. But I

1:23:57.800 --> 1:24:00.519
<v Speaker 1>can be relatively assured that someone else who's doing research

1:24:00.560 --> 1:24:03.240
<v Speaker 1>in the same area through a university is not going

1:24:03.280 --> 1:24:05.679
<v Speaker 1>to be anywhere close to where I am because they're

1:24:05.720 --> 1:24:09.519
<v Speaker 1>on a totally different bandwidth. But it turns out that

1:24:10.280 --> 1:24:15.560
<v Speaker 1>you can get these errant signals. They're basically harmonics. I

1:24:15.600 --> 1:24:17.840
<v Speaker 1>don't know exactly how it works. But there was another

1:24:17.920 --> 1:24:20.160
<v Speaker 1>study going on in the area where we were doing

1:24:20.720 --> 1:24:25.160
<v Speaker 1>Judas project that was looking at seka deer and so

1:24:25.280 --> 1:24:27.000
<v Speaker 1>they had whole bunch of collars on seekret here and

1:24:27.040 --> 1:24:32.360
<v Speaker 1>we had a whole bunch of collars on on neutria,

1:24:32.720 --> 1:24:35.320
<v Speaker 1>and we were working in the same general area, and

1:24:35.439 --> 1:24:37.400
<v Speaker 1>so we were out there looking. One day we got

1:24:37.439 --> 1:24:39.479
<v Speaker 1>a nice strong signal on one of our nutria and

1:24:40.320 --> 1:24:42.800
<v Speaker 1>we're going through and it's an area that we trapped out.

1:24:43.080 --> 1:24:47.120
<v Speaker 1>We had a beautiful frozen marsh, snow all over the place,

1:24:47.200 --> 1:24:49.759
<v Speaker 1>and we're tracking this thing um and we kept bumping

1:24:49.800 --> 1:24:54.120
<v Speaker 1>the secret here and were like, no tracks in the

1:24:54.160 --> 1:24:55.720
<v Speaker 1>snow from neutria, and we were like, what the heck

1:24:55.840 --> 1:24:58.400
<v Speaker 1>is going on here? And so we started doing a

1:24:58.439 --> 1:25:02.240
<v Speaker 1>little more digging, and finally I called the graduate student

1:25:02.280 --> 1:25:05.360
<v Speaker 1>that was doing that project up. I said, do you

1:25:05.400 --> 1:25:07.240
<v Speaker 1>buy any chance to have a secret deer down in

1:25:07.520 --> 1:25:11.720
<v Speaker 1>this area? And he said that he did, And I

1:25:11.760 --> 1:25:13.639
<v Speaker 1>asked him what the frequency was, and it was way

1:25:13.720 --> 1:25:15.920
<v Speaker 1>off and it shouldn't even have been detectable on our

1:25:17.280 --> 1:25:21.120
<v Speaker 1>radio system, but as it turns out, it was. We

1:25:21.240 --> 1:25:25.240
<v Speaker 1>were getting these weird harmonics that would even though it

1:25:25.320 --> 1:25:28.479
<v Speaker 1>was the wrong system, it still came in on our radio.

1:25:29.320 --> 1:25:31.040
<v Speaker 1>Oh man. We had a whole bunch of data we

1:25:31.120 --> 1:25:33.040
<v Speaker 1>had to throw out because it just we couldn't be

1:25:33.160 --> 1:25:37.280
<v Speaker 1>sure that what we were tracking was was neutrient versus

1:25:37.400 --> 1:25:39.640
<v Speaker 1>secret deer. So it was a little bit of a

1:25:39.880 --> 1:25:45.040
<v Speaker 1>learning curve there, but it was really neat to be

1:25:45.120 --> 1:25:47.880
<v Speaker 1>able to see how these animals used the landscape. Um,

1:25:48.600 --> 1:25:51.600
<v Speaker 1>different animals released in different areas would move across the

1:25:51.680 --> 1:25:57.280
<v Speaker 1>Blackwater Refuge system and it was amazing how similarly they

1:25:58.000 --> 1:26:00.360
<v Speaker 1>used the landscape. You know, there are certain points almost

1:26:00.439 --> 1:26:02.920
<v Speaker 1>every animal that we released, no matter where we released them,

1:26:03.320 --> 1:26:05.840
<v Speaker 1>would pass by. So it gave us some insights on

1:26:06.640 --> 1:26:09.759
<v Speaker 1>how we might utilize those points as either trapping sites

1:26:09.840 --> 1:26:14.160
<v Speaker 1>or detection sites. Um. That's yeah. So you're saying the

1:26:14.240 --> 1:26:16.679
<v Speaker 1>way that that the that the animals would be somehow

1:26:17.760 --> 1:26:22.120
<v Speaker 1>funneled by the topography or landscape and whatever they're looking

1:26:22.200 --> 1:26:26.960
<v Speaker 1>for would would bring them by the Yep. What would

1:26:26.960 --> 1:26:30.839
<v Speaker 1>those features be points of points of land or channels,

1:26:31.080 --> 1:26:36.400
<v Speaker 1>influence of too, tributaries, um, any sort of point that

1:26:36.720 --> 1:26:40.640
<v Speaker 1>sticks out of So yeah, it was you'd give you

1:26:40.640 --> 1:26:42.679
<v Speaker 1>a good idea where to look in the future. Exactly.

1:26:43.000 --> 1:26:44.840
<v Speaker 1>So did it did it start to have as the

1:26:44.920 --> 1:26:49.120
<v Speaker 1>project went along and you started to sort of get

1:26:49.160 --> 1:26:56.280
<v Speaker 1>the sense like like holy shit, we maybe are going

1:26:56.320 --> 1:26:59.799
<v Speaker 1>to catch them all? Did it feel like a hard stop?

1:27:00.000 --> 1:27:02.600
<v Speaker 1>It was? It just like the son of like gradual

1:27:03.520 --> 1:27:06.679
<v Speaker 1>wine down. Well, we had a lot of real estate

1:27:06.760 --> 1:27:10.200
<v Speaker 1>to cover, so you know, when it was winding down

1:27:10.240 --> 1:27:12.680
<v Speaker 1>in one area, we would move to another area, so

1:27:13.520 --> 1:27:15.799
<v Speaker 1>you know, we'd get these sort of peaks and valleys

1:27:15.840 --> 1:27:19.000
<v Speaker 1>in our capture eates. And that helped keep the staff

1:27:19.520 --> 1:27:22.479
<v Speaker 1>sort of motivated because you know, even though their job

1:27:22.479 --> 1:27:26.680
<v Speaker 1>as eradication, most trappers evaluate their success by how many

1:27:26.720 --> 1:27:29.280
<v Speaker 1>critics I catch, And when you're trying to catch something

1:27:29.360 --> 1:27:31.679
<v Speaker 1>that's not there, it's a pretty frustrating and real busting.

1:27:31.720 --> 1:27:33.240
<v Speaker 1>No I would be if I had that job, I'll

1:27:33.280 --> 1:27:35.200
<v Speaker 1>be really excited every time we moved into new area,

1:27:35.680 --> 1:27:40.120
<v Speaker 1>and then then the and the guys were But eventually

1:27:40.640 --> 1:27:43.479
<v Speaker 1>we hit all the known populations and it became this

1:27:44.080 --> 1:27:47.720
<v Speaker 1>this is just drudgery of of kind of looking and

1:27:47.800 --> 1:27:51.439
<v Speaker 1>looking and looking. And so when you're relying on an

1:27:51.479 --> 1:27:55.040
<v Speaker 1>observer based system to find an animal, it's like looking

1:27:55.080 --> 1:27:58.000
<v Speaker 1>for Bigfoot. You know, you might never see him, but

1:27:58.120 --> 1:28:01.599
<v Speaker 1>you can't prove he doesn't exists. Right, that's the problem

1:28:01.640 --> 1:28:04.120
<v Speaker 1>we had with big Foot. Yeah, exactly. So no one

1:28:04.120 --> 1:28:08.240
<v Speaker 1>will ever believe you because you can't prove something doesn't exist.

1:28:09.200 --> 1:28:11.360
<v Speaker 1>So one of the problems with an observer based system

1:28:11.439 --> 1:28:13.920
<v Speaker 1>is that people get fatigued, they get bored, they're looking

1:28:14.000 --> 1:28:16.240
<v Speaker 1>for something that needle in the haystack, they don't find it.

1:28:16.400 --> 1:28:18.960
<v Speaker 1>They get distracted that maybe their text goes off and

1:28:19.000 --> 1:28:22.400
<v Speaker 1>they happen to look at their phone while they drive

1:28:22.520 --> 1:28:25.400
<v Speaker 1>by a floating nutrient turn in the water and they

1:28:25.479 --> 1:28:29.000
<v Speaker 1>miss it. Right, So we wanted to develop some other

1:28:29.200 --> 1:28:32.719
<v Speaker 1>detection techniques that wouldn't be so reliant on a human observer.

1:28:33.120 --> 1:28:36.000
<v Speaker 1>The human observer is incredibly important. You can't get this

1:28:36.080 --> 1:28:38.600
<v Speaker 1>work done without people. But you've got to come up

1:28:38.640 --> 1:28:42.000
<v Speaker 1>with techniques that that sort of compensate for the weaknesses

1:28:42.120 --> 1:28:45.960
<v Speaker 1>in different systems of detection. And so one of the

1:28:46.080 --> 1:28:48.439
<v Speaker 1>things we had worked on that actually evolved from a

1:28:48.520 --> 1:28:52.160
<v Speaker 1>trapping technique was the guys would would use what they

1:28:52.200 --> 1:28:55.120
<v Speaker 1>called false beds. So they'd make a fake nutria bed

1:28:55.200 --> 1:28:57.920
<v Speaker 1>along a waterway, set a foothold trap or a counter

1:28:58.000 --> 1:28:59.960
<v Speaker 1>bear on it, and then the Nutria would come along

1:29:00.000 --> 1:29:03.320
<v Speaker 1>and see that, and they're like, oh, hey, there's any trip. Yeah, yeah,

1:29:03.400 --> 1:29:07.160
<v Speaker 1>just quick tech question, when you guys would set up

1:29:07.240 --> 1:29:10.240
<v Speaker 1>a when you guys would set up a bed set

1:29:10.320 --> 1:29:12.800
<v Speaker 1>like that, would you guys run a one way drown

1:29:12.920 --> 1:29:16.160
<v Speaker 1>or locked down to a steak. Yeah, exactly. So we

1:29:16.240 --> 1:29:18.439
<v Speaker 1>were required to check any trap that held an animal

1:29:18.520 --> 1:29:21.200
<v Speaker 1>alive every twenty four hours, but we had an exemption

1:29:21.280 --> 1:29:23.880
<v Speaker 1>that allowed us to go as long as seventies six

1:29:24.000 --> 1:29:26.880
<v Speaker 1>I think, or maybe even ninety six hours if it

1:29:27.000 --> 1:29:29.920
<v Speaker 1>was a killing trap. And so we did rely on

1:29:30.080 --> 1:29:33.200
<v Speaker 1>the submersion sets to make sure that the animals were dead.

1:29:33.240 --> 1:29:35.200
<v Speaker 1>And yeah, so we're talking about there is Imagine that

1:29:35.280 --> 1:29:37.639
<v Speaker 1>you you got a trap set up at the surface

1:29:37.680 --> 1:29:39.240
<v Speaker 1>of the water on a little better you could set

1:29:39.320 --> 1:29:43.519
<v Speaker 1>set up just for illustrations sake. Imagine set on the Yeah,

1:29:43.560 --> 1:29:47.840
<v Speaker 1>trap set on the bank of a river. That trap

1:29:48.000 --> 1:29:50.680
<v Speaker 1>chain like the little tether of that trap has a

1:29:50.720 --> 1:29:53.599
<v Speaker 1>thing called it one way slide on it. And then

1:29:53.640 --> 1:29:56.320
<v Speaker 1>you drive a steak into the river bank right next

1:29:56.360 --> 1:29:59.400
<v Speaker 1>to the trap and run a wire from that steak

1:29:59.520 --> 1:30:03.000
<v Speaker 1>to another their steak that's driven down into the bottom

1:30:03.080 --> 1:30:05.519
<v Speaker 1>of the river out in the deep water. And when

1:30:05.560 --> 1:30:09.320
<v Speaker 1>the animal got hooked in that trap, especially aquatic road

1:30:09.520 --> 1:30:11.120
<v Speaker 1>is instinctive, We're just gonna jump in the water and

1:30:11.200 --> 1:30:14.200
<v Speaker 1>dive down to get away. So he runs that one

1:30:14.280 --> 1:30:18.800
<v Speaker 1>way sliding lock down that wire, but it won't come

1:30:18.800 --> 1:30:24.160
<v Speaker 1>back up right so that was an effective and important

1:30:24.320 --> 1:30:27.200
<v Speaker 1>tool for us, and these these false beds became more

1:30:27.240 --> 1:30:31.840
<v Speaker 1>and more important as a detection tool. So when we

1:30:31.920 --> 1:30:35.920
<v Speaker 1>were going back through and and mopping up these areas,

1:30:36.760 --> 1:30:38.760
<v Speaker 1>we didn't want to set traps if we didn't have

1:30:39.200 --> 1:30:41.640
<v Speaker 1>good reason to believe there were new tria there. So

1:30:41.760 --> 1:30:43.680
<v Speaker 1>we would just make these false beds and check them.

1:30:43.760 --> 1:30:45.479
<v Speaker 1>But the problem is when the tide would come up

1:30:45.520 --> 1:30:47.439
<v Speaker 1>and wash them away or the grass would grow up

1:30:47.439 --> 1:30:51.000
<v Speaker 1>through them. So uh, one of the guys thought, well, hey,

1:30:51.080 --> 1:30:53.000
<v Speaker 1>what if we put down a piece of plywood to

1:30:53.120 --> 1:30:55.519
<v Speaker 1>keep the new grass froom growing up? And then well,

1:30:55.600 --> 1:30:57.600
<v Speaker 1>that solved that problem, but it's still washed away on

1:30:57.640 --> 1:31:00.080
<v Speaker 1>a high tide. So said, well what if we what

1:31:00.120 --> 1:31:01.599
<v Speaker 1>if we put it on a little piece of styre

1:31:01.680 --> 1:31:04.160
<v Speaker 1>foam and then so we we did that, and then

1:31:04.200 --> 1:31:06.280
<v Speaker 1>we built a little rim around it to keep the

1:31:06.320 --> 1:31:08.439
<v Speaker 1>wind and water from blowing stuff off the top, and

1:31:08.560 --> 1:31:12.240
<v Speaker 1>we so he's this thing evolved into this detection platform

1:31:12.479 --> 1:31:15.759
<v Speaker 1>that we would put these things out by the hundreds

1:31:16.720 --> 1:31:19.840
<v Speaker 1>and check them for scat. And we wanted to get

1:31:19.880 --> 1:31:23.000
<v Speaker 1>a sense of how nutrient interacted with these devices, so

1:31:23.080 --> 1:31:26.040
<v Speaker 1>we put some remote trail cameras on them, and we

1:31:26.120 --> 1:31:29.160
<v Speaker 1>got a couple interesting things, and they were staked with

1:31:29.200 --> 1:31:31.280
<v Speaker 1>a fiberglass pul so if the water came up, they

1:31:31.320 --> 1:31:33.519
<v Speaker 1>would actually float and they would so they would work

1:31:33.520 --> 1:31:36.160
<v Speaker 1>all the time, whether the tide was higher down. And

1:31:37.520 --> 1:31:39.800
<v Speaker 1>we got one video where to nutrient got on a

1:31:39.880 --> 1:31:42.640
<v Speaker 1>single platform and they were twenty four inches square, so

1:31:42.760 --> 1:31:44.960
<v Speaker 1>one it was already up there, and the second one

1:31:45.040 --> 1:31:46.680
<v Speaker 1>got up and it was just too much weight and

1:31:46.720 --> 1:31:49.960
<v Speaker 1>the whole thing kind of tipped sideways. Water swept over

1:31:50.040 --> 1:31:53.400
<v Speaker 1>the whole thing, and then the first nutria got off

1:31:53.479 --> 1:31:55.599
<v Speaker 1>and the second nutria got on and all the water

1:31:55.760 --> 1:31:58.400
<v Speaker 1>and everything just kind of swept out the opening. We

1:31:58.479 --> 1:32:00.880
<v Speaker 1>had one one side. It had an opening with a

1:32:00.920 --> 1:32:03.040
<v Speaker 1>little brace on it that we could set a conterby

1:32:03.120 --> 1:32:06.040
<v Speaker 1>trip out, so if we detected something, we could instantly

1:32:06.280 --> 1:32:09.880
<v Speaker 1>turn it into a removal device. And so that got

1:32:10.000 --> 1:32:12.720
<v Speaker 1>us thinking of like, man, we could be losing all

1:32:12.760 --> 1:32:15.680
<v Speaker 1>these opportunities to detect sign if we're relying solely on

1:32:15.840 --> 1:32:20.800
<v Speaker 1>the presence of scat to to do that. So one

1:32:20.800 --> 1:32:22.519
<v Speaker 1>of the guys went back to the drawing board and

1:32:23.120 --> 1:32:27.960
<v Speaker 1>came up with a really clever um use for snare

1:32:28.040 --> 1:32:30.840
<v Speaker 1>cable or aircraft cable, and he took about a three

1:32:30.920 --> 1:32:33.439
<v Speaker 1>or four inch piece of it and he frayed the

1:32:33.560 --> 1:32:35.760
<v Speaker 1>ends of it, made a little tool to make it

1:32:35.840 --> 1:32:37.920
<v Speaker 1>easy to do, and built it sort of bent all

1:32:37.960 --> 1:32:41.080
<v Speaker 1>the little strands backwards, so it formed this like multi pronged,

1:32:41.160 --> 1:32:44.280
<v Speaker 1>tiny little grappling hook. And then he built a little

1:32:44.360 --> 1:32:47.200
<v Speaker 1>support wire like a snare support wire out of stainless

1:32:47.200 --> 1:32:51.160
<v Speaker 1>steel welding rod and attached that to the platform and

1:32:51.240 --> 1:32:54.080
<v Speaker 1>then made this little figure eight loop system on the

1:32:54.280 --> 1:32:57.640
<v Speaker 1>end of the welding wire catch hair to put that

1:32:57.960 --> 1:33:01.080
<v Speaker 1>snare in, and it would catch hair when the neutria

1:33:01.360 --> 1:33:06.320
<v Speaker 1>brushed against it. So we we actually implemented that and

1:33:06.360 --> 1:33:09.320
<v Speaker 1>then we used the cameras to determine what We actually

1:33:09.360 --> 1:33:13.240
<v Speaker 1>did a little study looking at the detectability of neutria

1:33:13.320 --> 1:33:16.840
<v Speaker 1>on these devices by the camera, by the presence of

1:33:16.920 --> 1:33:19.840
<v Speaker 1>scat and by the presence of this hair snare, and

1:33:19.960 --> 1:33:25.600
<v Speaker 1>the hair snare was like remarkably effective. It detected of

1:33:25.680 --> 1:33:29.880
<v Speaker 1>the visits to the platform, whereas the was you don't

1:33:29.920 --> 1:33:31.600
<v Speaker 1>know if he had reliable you don't know if he

1:33:31.640 --> 1:33:34.880
<v Speaker 1>had to go or not exactly. So you know, all

1:33:34.920 --> 1:33:37.519
<v Speaker 1>of these techniques sort of evolved out of necessity. And

1:33:38.240 --> 1:33:40.640
<v Speaker 1>you know, this had never been done before using the

1:33:40.720 --> 1:33:44.200
<v Speaker 1>tools that we had available to us anywhere in the world.

1:33:44.320 --> 1:33:47.960
<v Speaker 1>There had been one successful eradication of neutria in England,

1:33:48.520 --> 1:33:52.679
<v Speaker 1>but it was all done using bated cage traps on rafts,

1:33:53.560 --> 1:33:56.040
<v Speaker 1>and so you know, we had to sort of forged

1:33:56.080 --> 1:33:58.960
<v Speaker 1>our our own path on this and uh so all

1:33:59.040 --> 1:34:04.880
<v Speaker 1>of this creativity stemming from our local trappers, uh was

1:34:04.960 --> 1:34:08.240
<v Speaker 1>critical and sort of evolving our tools as the needs

1:34:08.320 --> 1:34:12.599
<v Speaker 1>of the program changed as we approached eradication. So how

1:34:12.640 --> 1:34:15.880
<v Speaker 1>many years into it or how many years did it

1:34:15.960 --> 1:34:20.920
<v Speaker 1>take to get there? So we began trapping out the

1:34:21.080 --> 1:34:23.839
<v Speaker 1>Coral black Water in two thousand and two. We trapped

1:34:23.840 --> 1:34:32.280
<v Speaker 1>out the last known infested watershed in twenty oh gosh,

1:34:33.840 --> 1:34:35.720
<v Speaker 1>I think the White Comico River was the last one

1:34:35.760 --> 1:34:41.000
<v Speaker 1>we trapped out, and so I left the project in

1:34:41.960 --> 1:34:46.320
<v Speaker 1>to take a promotion. And so the folks that have

1:34:46.479 --> 1:34:50.120
<v Speaker 1>continued on in my absence have continued to look and

1:34:50.320 --> 1:34:53.720
<v Speaker 1>they did clean out a few animals in that White

1:34:53.760 --> 1:34:57.120
<v Speaker 1>Comical watershed the following year. But it has now been

1:34:57.680 --> 1:35:00.240
<v Speaker 1>uh two and a half years since we've to the

1:35:00.320 --> 1:35:04.160
<v Speaker 1>nutria anywhere in this ecosystem that we've trapped. Now, we've

1:35:04.200 --> 1:35:07.960
<v Speaker 1>had some struggles. Uh, you know, funding. Uh, one of

1:35:08.040 --> 1:35:11.920
<v Speaker 1>the criterias for eradication. Institutional support has to continue throughout

1:35:11.960 --> 1:35:13.920
<v Speaker 1>the length of the project. So you've got to have

1:35:14.120 --> 1:35:17.080
<v Speaker 1>that commitment to provide the resources to get the job done.

1:35:17.960 --> 1:35:21.720
<v Speaker 1>But beencounters like to look at, you know, results, and

1:35:21.760 --> 1:35:23.880
<v Speaker 1>the easiest result for them to measure is how many

1:35:23.920 --> 1:35:26.400
<v Speaker 1>neutria we're catching. When you're not catching neutria, it's a

1:35:26.439 --> 1:35:28.880
<v Speaker 1>lot easier to start sort of pulling back some of

1:35:28.960 --> 1:35:31.920
<v Speaker 1>that funding. So we've had some issues there. The staff

1:35:32.040 --> 1:35:35.760
<v Speaker 1>is about a third of what it was at the

1:35:36.200 --> 1:35:40.120
<v Speaker 1>peak of our efforts, but we've tried to combat that

1:35:40.240 --> 1:35:43.680
<v Speaker 1>by also increasing our efficiency. One of the things that

1:35:43.840 --> 1:35:47.800
<v Speaker 1>I had started before I left the project was this

1:35:48.320 --> 1:35:51.920
<v Speaker 1>concept of using scat sniffing dogs to to help us

1:35:52.200 --> 1:35:56.519
<v Speaker 1>find neutria and more importantly in helping us find nutria,

1:35:56.520 --> 1:35:59.839
<v Speaker 1>because we had used dogs throughout the program. To eliminate

1:36:00.000 --> 1:36:05.040
<v Speaker 1>Autria is a hunting technique, but when you're trying to

1:36:05.160 --> 1:36:08.920
<v Speaker 1>prove they call it proof of freedom in the the

1:36:09.360 --> 1:36:12.680
<v Speaker 1>invasive species Proof that an area is free of an

1:36:12.760 --> 1:36:22.040
<v Speaker 1>invasive species UM is to layer multiple detection technologies and

1:36:22.200 --> 1:36:25.639
<v Speaker 1>techniques on top of each other to give you enhanced

1:36:25.760 --> 1:36:29.280
<v Speaker 1>confidence that that there's nothing there. You know, you can

1:36:29.320 --> 1:36:33.920
<v Speaker 1>never prove that they're gone, but by building a strong

1:36:34.080 --> 1:36:37.240
<v Speaker 1>case of circumstantial evidence, you can reach a conclusion that's

1:36:37.800 --> 1:36:41.280
<v Speaker 1>that the nutrient have been eradicated. Like human observation, no

1:36:41.360 --> 1:36:43.840
<v Speaker 1>one's seen any They're not showing up in your fur

1:36:44.000 --> 1:36:47.960
<v Speaker 1>catchers on your floats. Dogs aren't finding their droppings exactly,

1:36:48.760 --> 1:36:51.800
<v Speaker 1>And so the dogs true value here is not in

1:36:52.240 --> 1:36:55.720
<v Speaker 1>really finding nutria, although it would be important if they did.

1:36:56.080 --> 1:36:59.360
<v Speaker 1>Their true values and is enhancing our confidence that they

1:36:59.400 --> 1:37:03.280
<v Speaker 1>are in fact on um because their sense of smell

1:37:03.400 --> 1:37:06.519
<v Speaker 1>is remarkable and a human observer can just is going

1:37:06.560 --> 1:37:08.640
<v Speaker 1>off visual cues and you know, you walk through this

1:37:08.800 --> 1:37:10.880
<v Speaker 1>marsh and you you know, you were in it today

1:37:11.120 --> 1:37:14.479
<v Speaker 1>hunting for secret here, and imagine would be a good

1:37:15.680 --> 1:37:18.439
<v Speaker 1>we were moved to probably seventy or eighty neutria from

1:37:18.479 --> 1:37:21.360
<v Speaker 1>that general area right in front of where you were hunting.

1:37:22.280 --> 1:37:26.800
<v Speaker 1>That that was all prime neutria habitant. Yep, that's the

1:37:26.840 --> 1:37:30.320
<v Speaker 1>kind of stuff they liked. Yeah, So imagine having to

1:37:30.439 --> 1:37:33.240
<v Speaker 1>cover like every inch of that marsh between where you

1:37:33.320 --> 1:37:35.640
<v Speaker 1>were in that far wood line, and we had to

1:37:35.680 --> 1:37:38.200
<v Speaker 1>scour that. And when you're down to maybe there's only

1:37:38.240 --> 1:37:40.519
<v Speaker 1>one or two neutria left in there, what are the

1:37:40.560 --> 1:37:43.040
<v Speaker 1>odds that that two, three, or even four people just

1:37:43.200 --> 1:37:45.840
<v Speaker 1>walking back and forth they're actually gonna find that one

1:37:45.880 --> 1:37:48.599
<v Speaker 1>little piece of scat or whatnot. So well, Steve had

1:37:48.640 --> 1:37:51.360
<v Speaker 1>a dead deer d fifty yards from and you know,

1:37:51.600 --> 1:37:55.679
<v Speaker 1>without GPS technology, hard to find that. Yeah, it's hard.

1:37:55.720 --> 1:37:57.360
<v Speaker 1>I had to walk around here a little bit even,

1:37:57.479 --> 1:38:00.840
<v Speaker 1>I like I shot away point from tree stand to

1:38:00.840 --> 1:38:04.360
<v Speaker 1>where our thought he was, you know, just like bearing

1:38:04.520 --> 1:38:07.880
<v Speaker 1>and in a distance. I walked over there and and

1:38:08.439 --> 1:38:10.759
<v Speaker 1>I was like, I don't know, he's gotta being here somewhere,

1:38:10.800 --> 1:38:14.800
<v Speaker 1>and just yeah, you can miss a lot. So right now,

1:38:17.840 --> 1:38:21.640
<v Speaker 1>if I like, do you think that, if you know

1:38:22.880 --> 1:38:25.000
<v Speaker 1>within twenty mile radius where we're sitting right now, you

1:38:25.000 --> 1:38:27.880
<v Speaker 1>don't think there's a single living neutrient or do you

1:38:27.920 --> 1:38:29.960
<v Speaker 1>think there's got to be one that you've you've missed?

1:38:30.479 --> 1:38:33.040
<v Speaker 1>You know that wouldn't be one, right one. There's no

1:38:33.160 --> 1:38:36.439
<v Speaker 1>worry to one boy and one girl exactly. And so

1:38:37.840 --> 1:38:42.920
<v Speaker 1>what we know about their ability to reproduce and their

1:38:42.960 --> 1:38:46.840
<v Speaker 1>detectability when they reached some sort of critical mass. Uh,

1:38:48.680 --> 1:38:51.120
<v Speaker 1>we would reasonably expect to be able to find them

1:38:51.240 --> 1:38:54.320
<v Speaker 1>if over the course of two years that you know,

1:38:54.400 --> 1:38:57.719
<v Speaker 1>we've been looking that if they had sort of rebuilt

1:38:58.040 --> 1:39:01.280
<v Speaker 1>a small population, we probably have detected it. I'm pretty

1:39:01.320 --> 1:39:04.120
<v Speaker 1>confident of that. If you talk about a small population,

1:39:04.160 --> 1:39:08.559
<v Speaker 1>you have to get in there and just like rapid response,

1:39:09.640 --> 1:39:13.120
<v Speaker 1>get it out as as quickly as possible. So I'm

1:39:13.160 --> 1:39:15.760
<v Speaker 1>actually I had a lot of confidence in the crew

1:39:15.840 --> 1:39:18.080
<v Speaker 1>that we put together, in the folks that have remained

1:39:18.120 --> 1:39:23.800
<v Speaker 1>on the project are really committed and talented, and I

1:39:23.920 --> 1:39:27.040
<v Speaker 1>think that the fact that they're not finding anything is

1:39:27.120 --> 1:39:29.479
<v Speaker 1>an indication that there's nothing to find. So how are

1:39:29.560 --> 1:39:31.160
<v Speaker 1>those people that are still working at how are they

1:39:31.240 --> 1:39:36.679
<v Speaker 1>coping with the job anymore? Well, so, you know, about

1:39:36.720 --> 1:39:40.040
<v Speaker 1>five of them now are detected dog handlers, and and honestly,

1:39:40.800 --> 1:39:46.040
<v Speaker 1>part of my rationale for for getting that tool off

1:39:46.080 --> 1:39:48.840
<v Speaker 1>the ground is a bit of a morayal boost. People

1:39:48.920 --> 1:39:53.240
<v Speaker 1>love to work with dogs, and so even if on

1:39:53.360 --> 1:39:56.320
<v Speaker 1>a daily basis they're not getting their own personal satisfaction

1:39:56.400 --> 1:39:59.599
<v Speaker 1>by finding a neutria, they're getting some satisfaction of working

1:39:59.680 --> 1:40:01.720
<v Speaker 1>with a dog and training the dog and making sure

1:40:01.760 --> 1:40:04.840
<v Speaker 1>the dog is is still up on on the top

1:40:04.880 --> 1:40:09.439
<v Speaker 1>of things. UM. But even then it's it's a challenge,

1:40:09.600 --> 1:40:12.760
<v Speaker 1>you know. The the the guys that have been with

1:40:12.840 --> 1:40:16.479
<v Speaker 1>a project from the very beginning talk fondly of the

1:40:16.520 --> 1:40:20.320
<v Speaker 1>good old days, you know, and they miss it. Be careful.

1:40:20.479 --> 1:40:23.600
<v Speaker 1>One of them might just keep their jobs to retirement.

1:40:25.640 --> 1:40:27.320
<v Speaker 1>I wish I could tell the story we heard the

1:40:27.400 --> 1:40:31.600
<v Speaker 1>other day, not about neutria, but question already I have

1:40:31.760 --> 1:40:34.280
<v Speaker 1>it is, UM, because I got one more main question?

1:40:35.200 --> 1:40:38.840
<v Speaker 1>Then can you mind away from one more main one? UM?

1:40:40.600 --> 1:40:45.040
<v Speaker 1>Have so other places that deal with neutria? Okay, looking

1:40:45.040 --> 1:40:47.560
<v Speaker 1>at like you know, they still deal with in Louisiana

1:40:47.640 --> 1:40:52.880
<v Speaker 1>to like have our other places that are dealing with infestations?

1:40:53.960 --> 1:40:56.640
<v Speaker 1>Are they looking to what you guys did. Are you

1:40:57.280 --> 1:41:00.360
<v Speaker 1>in exporting the technologies or is it just like so

1:41:00.680 --> 1:41:04.200
<v Speaker 1>regionally specific. No, Actually, that's a great question. And one

1:41:04.240 --> 1:41:07.280
<v Speaker 1>of the one of the criteria that was built into

1:41:07.320 --> 1:41:10.200
<v Speaker 1>the funding legislation that supported this program from beginning was

1:41:10.320 --> 1:41:13.400
<v Speaker 1>that that one of our missions was to help to

1:41:13.560 --> 1:41:16.760
<v Speaker 1>educate everyone else is dealing with nutria with tools and

1:41:16.840 --> 1:41:21.320
<v Speaker 1>techniques that can be helpful elsewhere. UM. So we've we

1:41:21.400 --> 1:41:23.680
<v Speaker 1>put a lot of effort into outreach and working with

1:41:23.800 --> 1:41:26.720
<v Speaker 1>other UH folks that are dealing with nutria. We still

1:41:26.760 --> 1:41:29.479
<v Speaker 1>get a lot of calls from from people dealing with nutria.

1:41:29.520 --> 1:41:33.160
<v Speaker 1>There's been a new outbreak or invasion in California where

1:41:33.200 --> 1:41:36.439
<v Speaker 1>they had previously there's been a small population that had

1:41:36.479 --> 1:41:38.759
<v Speaker 1>been eliminated, so they didn't think they had a problem,

1:41:38.800 --> 1:41:41.760
<v Speaker 1>but I think stuff is now moving down from from

1:41:41.880 --> 1:41:47.840
<v Speaker 1>the Northern States there and UH just this past summer,

1:41:47.920 --> 1:41:52.720
<v Speaker 1>I was invited to visit UH Holland where they have

1:41:53.120 --> 1:41:56.760
<v Speaker 1>a problem with Nutria invading from Germany, coming across the

1:41:56.840 --> 1:42:00.719
<v Speaker 1>border and in infiltrating their canal system which is critical

1:42:00.840 --> 1:42:05.519
<v Speaker 1>to life as they know it in Holland. So you know,

1:42:05.600 --> 1:42:08.559
<v Speaker 1>we've we've shared this technology, these techniques with other folks

1:42:08.600 --> 1:42:11.000
<v Speaker 1>about the world. But I started to talk earlier and

1:42:11.000 --> 1:42:13.040
<v Speaker 1>I'm not sure I ever finished the thought on the

1:42:13.120 --> 1:42:16.000
<v Speaker 1>sort of the biological criteria have to be able to

1:42:16.080 --> 1:42:19.840
<v Speaker 1>meet UH in order for oh, yeah, I got yours

1:42:20.800 --> 1:42:22.880
<v Speaker 1>be feasible, and one of those is you have to

1:42:22.920 --> 1:42:24.840
<v Speaker 1>be able to put every animal at risk. And that's

1:42:24.840 --> 1:42:29.040
<v Speaker 1>why getting the private landowners on board was so important.

1:42:29.920 --> 1:42:37.599
<v Speaker 1>UM and oh gosh, all these thoughts running through my head.

1:42:37.640 --> 1:42:39.920
<v Speaker 1>I've forgotten all the things that I used to be

1:42:39.960 --> 1:42:43.720
<v Speaker 1>able to rattle off in all my slide presentations. But yeah,

1:42:43.880 --> 1:42:49.040
<v Speaker 1>it's been a little while. Um, so you have to

1:42:49.120 --> 1:42:53.720
<v Speaker 1>have techniques that are effective. So we you know, work

1:42:53.800 --> 1:42:59.559
<v Speaker 1>on all these different, uh, different techniques, techniques that are

1:42:59.600 --> 1:43:03.400
<v Speaker 1>socially acceptable. So you know, they're toxic ins that could

1:43:03.479 --> 1:43:07.200
<v Speaker 1>be applied to eliminate nutria, but they're probably also going

1:43:07.240 --> 1:43:10.800
<v Speaker 1>to eliminate a whole lot of other species. So so, uh,

1:43:11.360 --> 1:43:15.040
<v Speaker 1>that's an important feature. But when you start looking at

1:43:15.120 --> 1:43:18.160
<v Speaker 1>those criteria and applying them to other areas, we were

1:43:18.280 --> 1:43:23.240
<v Speaker 1>very fortunate in um Maryland. The del Marva Peninsula, which

1:43:23.320 --> 1:43:26.720
<v Speaker 1>is that land spit between the Chespeake Bay and the

1:43:26.840 --> 1:43:29.720
<v Speaker 1>Atlantic Ocean that's comprised of the state of Delaware and

1:43:29.800 --> 1:43:33.439
<v Speaker 1>the eastern shore of the Chespeake portions of Maryland and

1:43:33.520 --> 1:43:37.280
<v Speaker 1>Virginia is essentially an island, and the nutria that we

1:43:37.360 --> 1:43:41.320
<v Speaker 1>had here were introduced. They didn't expand from somewhere else.

1:43:41.479 --> 1:43:44.599
<v Speaker 1>It was an expanding population and they're limited in their

1:43:44.640 --> 1:43:49.439
<v Speaker 1>northern distribution by winter weather. So essentially we had an

1:43:49.479 --> 1:43:51.560
<v Speaker 1>island a big island, but it you know, it was

1:43:51.600 --> 1:43:55.080
<v Speaker 1>an island that we could sort of get around and eliminate.

1:43:56.000 --> 1:43:58.519
<v Speaker 1>So if you look at places like Louisiana, which have

1:43:58.800 --> 1:44:02.240
<v Speaker 1>an almost identical ecological problem to what we have here,

1:44:02.280 --> 1:44:04.479
<v Speaker 1>they have the same sort of coastal marshes, the same

1:44:04.960 --> 1:44:08.320
<v Speaker 1>suite of plant species that are impacted, and the same

1:44:08.760 --> 1:44:14.639
<v Speaker 1>effects of nutria, but it's orders of magnitudes greater than

1:44:15.200 --> 1:44:17.560
<v Speaker 1>both in size and in numbers of nutria than we

1:44:17.680 --> 1:44:20.679
<v Speaker 1>have here. They don't have a severe winners, so they've

1:44:20.720 --> 1:44:24.960
<v Speaker 1>got more reproduction taking place, and they estimate in Louisiana,

1:44:25.680 --> 1:44:28.160
<v Speaker 1>in the ten years the first ten years after nutria

1:44:28.240 --> 1:44:32.240
<v Speaker 1>were introduced, as few as probably twenty animals had attained

1:44:32.439 --> 1:44:37.800
<v Speaker 1>populations of twenty million UM. And they just they're everywhere,

1:44:37.880 --> 1:44:41.240
<v Speaker 1>and they're in adjacent states. So there's there's just, uh,

1:44:43.680 --> 1:44:45.800
<v Speaker 1>there's no way to get around the problem, you know.

1:44:46.000 --> 1:44:51.000
<v Speaker 1>So that one uh, one of the other criteria is

1:44:51.120 --> 1:44:54.400
<v Speaker 1>the risk of reinvasion needs to be near zero. So

1:44:54.640 --> 1:44:56.800
<v Speaker 1>on the del Marva Peninsula we had that very low

1:44:56.960 --> 1:44:59.920
<v Speaker 1>risk of reinvasion unless someone choose to bring one in Louisia,

1:45:00.000 --> 1:45:03.960
<v Speaker 1>an unfortunately, uh, surrounded by a sea of Nutria, so

1:45:04.439 --> 1:45:07.120
<v Speaker 1>they'll just had a constant influx. So they took a

1:45:07.200 --> 1:45:12.160
<v Speaker 1>much different approach um and rather than hiring trappers to

1:45:12.920 --> 1:45:16.000
<v Speaker 1>you know, trap down to a near zero population level,

1:45:16.640 --> 1:45:20.519
<v Speaker 1>they looked at the history of Nutria trapping activities in

1:45:20.640 --> 1:45:24.200
<v Speaker 1>relation to the firm market, and they established a bounty

1:45:24.280 --> 1:45:30.439
<v Speaker 1>system based on historical PELP prices UH to encourage and

1:45:30.520 --> 1:45:36.360
<v Speaker 1>incentivize trappers to UH pursue Nutria in the hopes that

1:45:36.479 --> 1:45:41.280
<v Speaker 1>they could depress the population enough that they wouldn't see

1:45:41.280 --> 1:45:43.959
<v Speaker 1>the amount of damage that they did. So they monitored

1:45:44.000 --> 1:45:46.720
<v Speaker 1>that by conducting annual vegetation surveys and they take a

1:45:46.760 --> 1:45:50.600
<v Speaker 1>helicopter fly these They had like miles of transax or

1:45:50.640 --> 1:45:53.439
<v Speaker 1>something like that, and every time they reached a neutria,

1:45:54.320 --> 1:45:57.000
<v Speaker 1>it's called to eat out. When they sort of destroy

1:45:57.360 --> 1:46:00.320
<v Speaker 1>an area of marsh, that fly a circle around it,

1:46:00.360 --> 1:46:03.320
<v Speaker 1>and they do that every year and measure the size

1:46:03.320 --> 1:46:06.200
<v Speaker 1>of those circles and and if they were contracting, then

1:46:06.240 --> 1:46:08.400
<v Speaker 1>they were sort of moving in the right direction. If

1:46:08.439 --> 1:46:11.240
<v Speaker 1>they were getting bigger, they weren't taking enough neutria. So

1:46:12.880 --> 1:46:17.280
<v Speaker 1>to put it in context with Maryland, over the life

1:46:17.320 --> 1:46:20.080
<v Speaker 1>of the project, and you remember earlier I said, you know,

1:46:20.360 --> 1:46:23.920
<v Speaker 1>as many as fifty thousand new tria on Blackwater Refuge alone.

1:46:25.120 --> 1:46:28.120
<v Speaker 1>We've removed about fourteen thousand neutria over the lifespan of

1:46:28.200 --> 1:46:33.240
<v Speaker 1>this project, far fewer than we anticipated at the beginning. UH.

1:46:33.439 --> 1:46:38.040
<v Speaker 1>And if you compare that to Louisiana there uh incentive

1:46:38.080 --> 1:46:41.920
<v Speaker 1>program they remove. Their goal is to remove about four

1:46:42.000 --> 1:46:45.880
<v Speaker 1>hundred thousand new tria a year, and that seems to

1:46:45.920 --> 1:46:48.559
<v Speaker 1>be enough the target that keeps that marsh damage at

1:46:48.600 --> 1:46:53.040
<v Speaker 1>a somewhat acceptable level. So other places that have expressed

1:46:53.080 --> 1:46:58.960
<v Speaker 1>an interest. UH. We've had visits from folks in South Korea, China, Israel. UM.

1:46:59.479 --> 1:47:01.639
<v Speaker 1>We were invit did to participate in a big workshop

1:47:01.920 --> 1:47:06.920
<v Speaker 1>in uh the Pacific Northwest if you probably ten years

1:47:06.960 --> 1:47:12.040
<v Speaker 1>ago now um uh. But then it even crosses species.

1:47:12.120 --> 1:47:14.600
<v Speaker 1>We were actually asked to come and consult on a

1:47:14.680 --> 1:47:20.320
<v Speaker 1>beaver infestation problem in Gyodo, Fuego and Extreme South America,

1:47:20.360 --> 1:47:22.920
<v Speaker 1>where they were introduced ironically about the same time that

1:47:23.000 --> 1:47:27.479
<v Speaker 1>new trou were introduced here. We did a large ye

1:47:27.880 --> 1:47:32.280
<v Speaker 1>you see cappy Barra yep, cav bar last winter man

1:47:32.439 --> 1:47:36.560
<v Speaker 1>neutra actually pretty closely related to cappy bara. UM. But

1:47:36.680 --> 1:47:42.560
<v Speaker 1>the Argentinian military brought North American beaver into establish of

1:47:42.800 --> 1:47:46.280
<v Speaker 1>fur for military clothing. So they released them and they

1:47:46.320 --> 1:47:48.639
<v Speaker 1>thought they'd have trappers go out, and well, it turns

1:47:48.640 --> 1:47:51.400
<v Speaker 1>out they didn't have a trapping community. People didn't know

1:47:51.479 --> 1:47:55.120
<v Speaker 1>what to do with them, and they expanded and proliferated,

1:47:55.200 --> 1:47:58.559
<v Speaker 1>and now they're should have tried to introduce trappers too.

1:48:00.200 --> 1:48:02.519
<v Speaker 1>Well that's cut a few cut a male and a

1:48:02.560 --> 1:48:07.719
<v Speaker 1>female trapper loose over our Our agency has been approached

1:48:07.760 --> 1:48:12.720
<v Speaker 1>about conducting some training activities down there to help kind

1:48:12.720 --> 1:48:16.439
<v Speaker 1>of educate folks on how to effectively trap beaver and whatnot.

1:48:16.960 --> 1:48:20.200
<v Speaker 1>But part of that is, you know, the goals eradication

1:48:20.360 --> 1:48:23.360
<v Speaker 1>and and trapping for fur and trapping for eradication are

1:48:23.400 --> 1:48:29.280
<v Speaker 1>two different for reasons we explored here tonight. Yeah. It's

1:48:29.280 --> 1:48:32.519
<v Speaker 1>a good story, man, Yeah, it uh, it was a

1:48:32.520 --> 1:48:34.920
<v Speaker 1>pretty exciting chapter in my career. And yeah, the story

1:48:34.960 --> 1:48:36.840
<v Speaker 1>starts to make its own grave. You know, it's like

1:48:36.960 --> 1:48:40.800
<v Speaker 1>just got like a lot to it. Man. Yeah, yann,

1:48:40.960 --> 1:48:44.719
<v Speaker 1>what was your what was your conservation through eradication? Steve

1:48:44.800 --> 1:48:47.360
<v Speaker 1>first told me. Now I was like, man, that's a ringer. Um.

1:48:47.920 --> 1:48:49.599
<v Speaker 1>Now you pretty much answered it. But I was gonna

1:48:49.600 --> 1:48:53.759
<v Speaker 1>ask like where the closest next population is to the south,

1:48:54.960 --> 1:48:57.439
<v Speaker 1>and then you know if it could become this way.

1:48:57.479 --> 1:48:59.600
<v Speaker 1>But it sounds like you have that the barrier of

1:48:59.760 --> 1:49:02.639
<v Speaker 1>the uh Chests Speake Bay that they're not going to swim.

1:49:03.000 --> 1:49:07.560
<v Speaker 1>They are in relatively close proximity. In Virginia Beach is

1:49:07.600 --> 1:49:10.000
<v Speaker 1>probably the closest place that we know about. Virginia Beach

1:49:10.040 --> 1:49:13.960
<v Speaker 1>has something. Yeah, that whole stretch that's southeast southeastern Virginia

1:49:14.080 --> 1:49:17.519
<v Speaker 1>and northeastern North Carolina, that whole complex down on the

1:49:18.160 --> 1:49:22.200
<v Speaker 1>Eblemarle Sound and Alligator River National Wildlife Refuge, Madam Mesquite

1:49:22.240 --> 1:49:25.880
<v Speaker 1>National Wildlife Refuge, and then right up into the intensively

1:49:26.040 --> 1:49:32.479
<v Speaker 1>urbanized areas in Virginia Beach, all the the drainage systems

1:49:32.520 --> 1:49:35.439
<v Speaker 1>and whatnot. There's a new Tria on the Naval Air

1:49:35.520 --> 1:49:40.400
<v Speaker 1>Force bases down there. It's got alligators. Man. Well, in Louisiana,

1:49:40.479 --> 1:49:43.360
<v Speaker 1>it is the h A lot of the the new

1:49:43.439 --> 1:49:46.840
<v Speaker 1>tree trappers sell the carcasses to delligator farmers. So they

1:49:46.880 --> 1:49:48.960
<v Speaker 1>get five bucks for the tail that they turn in

1:49:49.120 --> 1:49:50.840
<v Speaker 1>and then they get a buck or two for the

1:49:50.920 --> 1:49:57.519
<v Speaker 1>carcass that they provide. So so, but you know the

1:49:57.640 --> 1:50:00.800
<v Speaker 1>Chestpeake Bay. The mouth of Chestpeake Bay is about fourteen miles. Why,

1:50:00.920 --> 1:50:03.880
<v Speaker 1>that would be a pretty significant dispersal effort to get

1:50:04.120 --> 1:50:08.960
<v Speaker 1>a nutrie to swim across that. Uh So, the narrowest

1:50:09.000 --> 1:50:12.400
<v Speaker 1>point of the bay outside of the mouth of are

1:50:12.520 --> 1:50:15.479
<v Speaker 1>the head of the bay where the Susquehanna River feeds

1:50:15.520 --> 1:50:18.120
<v Speaker 1>into it is actually right here in Dorchester County. It's

1:50:18.120 --> 1:50:21.960
<v Speaker 1>about four and a half miles across uh to Calvert County.

1:50:22.160 --> 1:50:25.800
<v Speaker 1>And in the nineteen nineties they found a small population

1:50:25.920 --> 1:50:30.759
<v Speaker 1>in a tributary of the Potomac River and the Maryland

1:50:30.800 --> 1:50:33.800
<v Speaker 1>Department Natural Resources trapped about fifty animals out there and

1:50:33.880 --> 1:50:37.759
<v Speaker 1>they've they've never seen a resurgence of that population, although

1:50:37.760 --> 1:50:41.680
<v Speaker 1>occasionally we get reports. You guys need to move on

1:50:42.080 --> 1:50:47.080
<v Speaker 1>the Norway rat eliminate rats. You know what interesting tidbit is.

1:50:47.280 --> 1:50:51.760
<v Speaker 1>Uh My brother was telling me the anchorage is the

1:50:52.120 --> 1:50:57.439
<v Speaker 1>world's largest port city with no rats. Interesting. And when

1:50:57.479 --> 1:51:00.160
<v Speaker 1>they get a boat that comes in, if they if

1:51:00.200 --> 1:51:02.559
<v Speaker 1>they inspect it, if they find rats on that boat

1:51:02.600 --> 1:51:06.479
<v Speaker 1>does not touch shore. Yeah, well, you've been to New Zealand.

1:51:06.520 --> 1:51:12.519
<v Speaker 1>Their biosecurity uh procedures are pretty remarkable. Fly in they

1:51:12.880 --> 1:51:16.599
<v Speaker 1>put out literature about making sure your hiking boots don't

1:51:16.640 --> 1:51:19.439
<v Speaker 1>have weed seeds and you're camping equipment. Yeah, did you

1:51:19.479 --> 1:51:21.479
<v Speaker 1>get did you did you get messed with for having

1:51:21.560 --> 1:51:23.599
<v Speaker 1>muddy boots coming in New Zealand. I don't know if

1:51:23.600 --> 1:51:24.920
<v Speaker 1>we got. I can't remember now if we get it

1:51:25.000 --> 1:51:27.080
<v Speaker 1>was a long time ago we got messed with, or

1:51:27.439 --> 1:51:30.920
<v Speaker 1>if it was just protocol. But they basically took all

1:51:31.479 --> 1:51:35.800
<v Speaker 1>my fishing gear, not not the flies and reels and

1:51:35.880 --> 1:51:39.600
<v Speaker 1>polls themselves, but the you know, clothing type gear and

1:51:39.680 --> 1:51:42.040
<v Speaker 1>all of our camping gear, and they took it into

1:51:42.080 --> 1:51:44.160
<v Speaker 1>a room and I think you can actually watch it,

1:51:44.240 --> 1:51:46.720
<v Speaker 1>and they basically fumigated it and then they put in

1:51:46.800 --> 1:51:50.320
<v Speaker 1>a plastic bag to here you go have fun. Yeah. Yeah,

1:51:50.360 --> 1:51:53.040
<v Speaker 1>they take their invasive species stuff pretty seriously, and they're

1:51:53.400 --> 1:51:58.599
<v Speaker 1>not that they don't have a thousand invasive and they're

1:51:58.640 --> 1:52:03.599
<v Speaker 1>working aggressively to try to eliminate them as much as possible. So, yeah,

1:52:03.640 --> 1:52:05.840
<v Speaker 1>we saw traps all over the place for what they

1:52:05.960 --> 1:52:12.519
<v Speaker 1>call stout, which is uh um Stevie. You any final

1:52:12.640 --> 1:52:14.880
<v Speaker 1>things that fall so far out of context that you

1:52:14.920 --> 1:52:18.479
<v Speaker 1>didn't get a chance to bring them up? Oh man,

1:52:19.360 --> 1:52:22.240
<v Speaker 1>so much I was initially wondering if I could possibly

1:52:22.400 --> 1:52:29.280
<v Speaker 1>talk about this for two hours, and but yeah, you know,

1:52:29.360 --> 1:52:31.080
<v Speaker 1>I think that the one thing I'd like to just

1:52:31.280 --> 1:52:36.160
<v Speaker 1>reiterate as a concluding thought is is a plea for

1:52:36.360 --> 1:52:42.639
<v Speaker 1>people to you know, recognize the importance of traditionally urban

1:52:43.040 --> 1:52:46.880
<v Speaker 1>or rural values and activities and the contributions they make

1:52:46.960 --> 1:52:50.920
<v Speaker 1>to modern day conservation. You know, this project would have

1:52:51.000 --> 1:52:54.479
<v Speaker 1>been extremely difficult without the local knowledge we were able

1:52:54.520 --> 1:53:00.400
<v Speaker 1>to tap into through the trapping community. And uh, you know,

1:53:00.479 --> 1:53:03.439
<v Speaker 1>as I mentioned earlier, that crosses species, and you know,

1:53:03.600 --> 1:53:06.080
<v Speaker 1>it's a segment of our society that's much maligned and

1:53:06.400 --> 1:53:09.840
<v Speaker 1>in their routinely efforts to eliminate trapping and the the

1:53:10.000 --> 1:53:15.000
<v Speaker 1>kinds of traditional wildlife management tools that that that we've used,

1:53:15.200 --> 1:53:18.920
<v Speaker 1>and you know, they still have an incredibly important place

1:53:19.080 --> 1:53:22.439
<v Speaker 1>in a modern society. And and uh, I guess that's

1:53:22.479 --> 1:53:28.360
<v Speaker 1>something even I think, Uh, non trapping sports people uh

1:53:28.680 --> 1:53:31.519
<v Speaker 1>often don't think about trapping that much and don't have

1:53:31.640 --> 1:53:37.200
<v Speaker 1>the support very ill there's a very uh ill advised

1:53:37.240 --> 1:53:41.559
<v Speaker 1>group folks um that tried to This is my concluding

1:53:41.600 --> 1:53:47.240
<v Speaker 1>thought that the last year, during the last election cycle,

1:53:48.200 --> 1:53:52.479
<v Speaker 1>I tried to get through an initiative in Montana to

1:53:52.640 --> 1:53:57.280
<v Speaker 1>ban trapping on public land. And you know, I thought

1:53:57.360 --> 1:53:59.920
<v Speaker 1>of you know, I had in my in my pocket,

1:54:00.320 --> 1:54:02.120
<v Speaker 1>like a dozen reasons why I thought that was a

1:54:02.200 --> 1:54:05.160
<v Speaker 1>bad idea. One of the things in my pocket that

1:54:05.360 --> 1:54:07.120
<v Speaker 1>one of the things that my pocket did not include

1:54:07.240 --> 1:54:11.160
<v Speaker 1>was the one the director of the State Wildlife Agency

1:54:12.520 --> 1:54:18.320
<v Speaker 1>UM came out and said, why uh would we be

1:54:18.400 --> 1:54:24.400
<v Speaker 1>putting ourselves into a situation to pay government people to

1:54:24.560 --> 1:54:27.240
<v Speaker 1>do something that you have other people paying us to

1:54:27.320 --> 1:54:30.960
<v Speaker 1>go do, Speaking of beaver removal, He's like, we do

1:54:31.080 --> 1:54:35.400
<v Speaker 1>not have the budget right to take care of all

1:54:35.800 --> 1:54:40.040
<v Speaker 1>of the conflicts agricultural road other all of just the

1:54:40.160 --> 1:54:45.240
<v Speaker 1>beaver conflicts alone. Yep, you got a whole squad of

1:54:45.280 --> 1:54:48.840
<v Speaker 1>people out there who you know, are running like little

1:54:48.880 --> 1:54:51.080
<v Speaker 1>small businesses traveling beavers, and you want to take that

1:54:51.160 --> 1:54:53.840
<v Speaker 1>away from someone's gonna those beavers gonna cause problems and

1:54:53.880 --> 1:54:57.320
<v Speaker 1>then we're gonna have government guys doing it. M You know,

1:54:57.480 --> 1:55:03.560
<v Speaker 1>it was that that matter was soundly defeated. Yeah. I

1:55:03.600 --> 1:55:08.800
<v Speaker 1>actually had a second concluding thought. Concluding concluding, want to

1:55:09.320 --> 1:55:12.440
<v Speaker 1>just make sure I emphasize the importance of sort of

1:55:12.520 --> 1:55:18.200
<v Speaker 1>partnerships in tackling monumental conservation issues like this, and without

1:55:18.320 --> 1:55:21.000
<v Speaker 1>the joint efforts of the U. S. Fish and Wildlife Service,

1:55:21.080 --> 1:55:24.680
<v Speaker 1>the Maryland Department and Natural Resources, Tutor Farms, and the

1:55:24.880 --> 1:55:27.960
<v Speaker 1>hundreds of private landowners that supported, as well as a

1:55:28.120 --> 1:55:33.440
<v Speaker 1>ton of of several dozen of non governmental organizations like

1:55:33.480 --> 1:55:36.840
<v Speaker 1>the Maryland Trappers Association and the Salesbury Zoo and other

1:55:36.960 --> 1:55:39.680
<v Speaker 1>groups that were that sort of rally around the environment

1:55:39.760 --> 1:55:42.160
<v Speaker 1>that that really helped to generate the support, to keep

1:55:42.200 --> 1:55:44.320
<v Speaker 1>the funding in place, and and all that sort of thing.

1:55:44.600 --> 1:55:50.440
<v Speaker 1>Those partnerships are just critical for um the successive programs

1:55:50.520 --> 1:55:54.840
<v Speaker 1>like this right, so be a good partner. That's my

1:55:54.960 --> 1:55:58.400
<v Speaker 1>final concluder. Thank you for listening. Thank you