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Speaker 1: Welcome to the Wired to Hunt podcast, your home for

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Speaker 1: deer hunting news, stories and strategies, and now your host,

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Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt Podcast. I'm

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Speaker 1: your host, Mark Kenyan. This episode number one and today

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Speaker 1: we're back for our final RUT Radio episode of the

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Speaker 1: two thousand seventeen season, and we're recapping what types of

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Speaker 1: things we learned, what were the themes and trends from

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Speaker 1: the past season, and we check in with hunters from

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Speaker 1: across the country to get their perspectives too. All right,

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Speaker 1: welcome back, folks to another episode of the Wired to

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Speaker 1: Hunt podcast, and we are here today with our final

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Speaker 1: well you could say it's our first RUT radio episode

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Speaker 1: of two thousand eighteen, but it's also our final RUT

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Speaker 1: radio episode of the two thousand seventeen season. Um, it

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Speaker 1: just so happens that's in the new year, and today

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Speaker 1: you know what we're gonna do is we're going to

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Speaker 1: kind of take a high level look back at the year,

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Speaker 1: at the season, um, and at the different trends and um,

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Speaker 1: oh geez, I don't know. We've we've each week over

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Speaker 1: the last three or four months now, right, we've talked

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Speaker 1: different hunters all across the country about what's happening in

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Speaker 1: the White Tail was what kind of activity they've seen,

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Speaker 1: how the conditions have been impacting dear behavior, what types

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Speaker 1: of tactics have been working. And we've done that week

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Speaker 1: by week by week by week, and that's been interesting

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Speaker 1: to follow, you know, on a short term basis. But

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Speaker 1: I think if you pull back and look at this

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Speaker 1: from a from a thirty thousand foot overview, there's some

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Speaker 1: interesting things we can learn from that as well, looking

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Speaker 1: at the season and the kind of it's an entire

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Speaker 1: um in its entirety, I guess, and that's something I

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Speaker 1: think we can learn from and then apply to the

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Speaker 1: next season in future years. So that's kind of what

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Speaker 1: I was hope and we could do in today's episode.

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Speaker 1: And of course, Um, Spencer new Heart of Courses with

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Speaker 1: us and Spencer, you have been doing an awesome job

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Speaker 1: all season putting these episodes together. So I just want

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Speaker 1: to first off, thank you for taking the time to

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Speaker 1: do this, for connecting with so many different people and

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Speaker 1: getting their their reports and insights on what's happening. Um,

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Speaker 1: I can say personally I've gotten a lot from this,

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Speaker 1: and I know our listeners have to so so well done,

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Speaker 1: my friend, thank you. I appreciate that. Mark and I

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Speaker 1: enjoy making these and so I hope people enjoy listening

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Speaker 1: them as much as I enjoy producing them. Yeah, So,

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Speaker 1: so what are your thoughts on today's episode? What are

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Speaker 1: you what are we gonna try to achieve here? Well,

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Speaker 1: as you mentioned in the past, all of our reports

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Speaker 1: that we received have been very immediate, looking at what's

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Speaker 1: happened in the last seven days and looking at what's

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Speaker 1: probably gonna be happy in the next seven days. So

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Speaker 1: this episode is obviously very different. UM when we step

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Speaker 1: back and look at the themes for the seventeen season

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Speaker 1: and so there are five things in particular that I

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Speaker 1: picked up on UM kind of ending the season this year,

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Speaker 1: we we covered thirty three states for radio. I believe

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Speaker 1: we had was about fifty seven total reports over fourteen episodes,

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Speaker 1: and so I spin all that, Uh, there was about

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Speaker 1: five things that stuck out to me, and those five

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Speaker 1: things all happened to come up in today's episode when

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Speaker 1: reflecting on the fall of Seen and so and actually

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Speaker 1: spends it really quick before you jump on those UM,

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Speaker 1: just so that our listeners know what's coming up to

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Speaker 1: right it's not just you and me talking today about

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Speaker 1: reflecting reflecting on the season, but we also have some

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Speaker 1: of our guest reporters back to reflect on the entire

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Speaker 1: season as well. Is that right? Yeah? And kind of

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Speaker 1: the same idea we cover covering the white tail nation.

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Speaker 1: And we started Nebraska and talked to Bryce Lamley from Sitka. Uh,

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Speaker 1: then we go to Illinois, talked to Alex Gillstrom from

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Speaker 1: white Tail Properties, and then in New York from q

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Speaker 1: d M as Matt Ross, and then we talked to

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Speaker 1: Tony Eaterson in Minnesota with bow Hunter Magazine. Uh. These

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Speaker 1: guys have hunted all beyond the borders of their states

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Speaker 1: as well, and so UM, bringing in these four kind

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Speaker 1: of helped us get a wide view of the entire uh,

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Speaker 1: you know, white tailed woods in the the US. And

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Speaker 1: so those five themes that I had mentioned previously, one

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Speaker 1: of them being, um the e h D recovery and

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Speaker 1: a lot of the US was hit in two thousand

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Speaker 1: twelve with e h D and kind of we're still feeling, uh,

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Speaker 1: the aftershock of that, and and it varies in the Dakotas.

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Speaker 1: I feel like our deer numbers are back. I wrote

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Speaker 1: a blog post and wired to hunt. I think a

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Speaker 1: year ago saying how this could be the glory days,

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Speaker 1: you know that we always want to talk about and

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Speaker 1: reflect on because right now the aide structure is starting

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Speaker 1: to develop again. Uh, and we're seeing a lot of

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Speaker 1: deer who had never been pressured before because with that

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Speaker 1: e h D Uh, you get typically a big cutback

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Speaker 1: in tag numbers. Um, there's hunters in the woods for

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Speaker 1: the period of time after. And so what I've seen

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Speaker 1: is that a lot of deer just haven't been educated

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Speaker 1: yet in my area, uh, because there isn't a ton

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Speaker 1: of hunters out there chasing a ton of deer. And

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Speaker 1: so we'll talk about the e h D recovery today

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Speaker 1: and both sides of the coin Nebraska Brice didn't feel

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Speaker 1: like they're seeing as well. Where Tony who hunted the

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Speaker 1: Dakotas Uh, it feels like those populations are really starting

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Speaker 1: to come back. And then we moved into October. UH,

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Speaker 1: and this year, I recalling the last couple weeks of

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Speaker 1: October that there was a lot of optimistic reports and

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Speaker 1: the number one thing to attribute that too were the

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Speaker 1: cold fronts that seemed to hit all the right notes. Uh.

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Speaker 1: And Alex had a quote something like this. He said

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Speaker 1: something if you were to pick out a calendar and

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Speaker 1: circle the dates that you wanted a cold front in seen,

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Speaker 1: it felt like we got that this year, you know.

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Speaker 1: On that note, if I can jump in, I kind

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Speaker 1: of thought the same thing, like I thought, oh man,

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Speaker 1: we just have been We're getting just the gift of

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Speaker 1: all gifts as far as the right weather at the

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Speaker 1: right time. Because I, at least here in Michigan and Ohio,

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Speaker 1: we had this big colt from the hit like October

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Speaker 1: twenty five where it dropped like twenty or thirty degrees

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Speaker 1: or something. I just thought that was gonna blow the

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Speaker 1: doors off of things. Um. And we did get that weather,

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Speaker 1: which should have been great now for my own personal experiences,

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Speaker 1: though I didn't see the increasing activity that I was expecting,

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Speaker 1: um to to go along with that front. Now. Of course,

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Speaker 1: you know, we can't make any big picture, um takeaways

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Speaker 1: from just a single person situation from what I saw

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Speaker 1: in Michigan and from Ohio trail cameras and stuff. UM,

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Speaker 1: But that was one thing that I personally experienced, it

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Speaker 1: was the great weather, and then I just didn't get

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Speaker 1: the increased activity that I was hoping for, and that

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Speaker 1: even continued into November a bit, because you know, as

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Speaker 1: as we as I'm sure you're mentioning here, that that

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Speaker 1: great October weather continued all the way through like early November.

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Speaker 1: I can't remember a year that we've had better weather

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Speaker 1: during the rut, at least in the places I was hunting.

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Speaker 1: I feel like every year, um, at least for the

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Speaker 1: last decade, when I've really been following this closely during

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Speaker 1: the rut, you always end up. At least for me,

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Speaker 1: it seems that there always seems to be like a

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Speaker 1: day or two or three or four where you get

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Speaker 1: these abnormally hot temperatures and everyone's bummed about a temperatures

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Speaker 1: in early November screwing up the best weeks of the rut.

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Speaker 1: This year, at least where I was at, we didn't

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Speaker 1: get that. We just had perfect cold to cool weather

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Speaker 1: from you know, like October twenty straight on through in November.

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Speaker 1: I mean, you couldn't ask for anything more from that standpoint.

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Speaker 1: But I also wondered, because of that, if we didn't

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Speaker 1: have any huge drops, like relative drops like it dropped

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Speaker 1: October sex somewhere around there into like the forties. And

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Speaker 1: again this is where I was that, of course these

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Speaker 1: temperatures might be different across the country, um, but if

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Speaker 1: I remember right, temperatures just kind of stayed steadily cool

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Speaker 1: for the next three weeks. That there wasn't any big

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Speaker 1: ups and downs from that standpoint, and I wonder if

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Speaker 1: that might maybe, well, I guess I'd rather have this

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Speaker 1: than have a bunch of hot temps. It maybe we

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Speaker 1: didn't have those a huge bursts of cold for an

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Speaker 1: activity that sometimes you get when you get a twenty

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Speaker 1: or thirty degree temperature drop, um, simply because it just

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Speaker 1: kind of stayed steady at that point. And again, like

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Speaker 1: I've said several times, and that was just what I experienced.

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Speaker 1: I don't know if you heard anyone else bring up

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Speaker 1: something along those those lines, but it was kind of

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Speaker 1: an interesting weather you're during the rut better certainly way

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Speaker 1: better than it could have been. But I wonder if

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Speaker 1: maybe the lack of like big changes, um kind of

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Speaker 1: led to a little bit of a stagnant flow to

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Speaker 1: some of the running activity that we see. Does any

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Speaker 1: of that ring ring a ring a bell with you

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Speaker 1: at all? Well? I think bringing up that those those

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Speaker 1: cold fronts seemed well timed. If at the very least,

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Speaker 1: it gives hunters some confidence. It'll get guys in the

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Speaker 1: tree stand if they feel like they need to wait

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Speaker 1: for a cold front. Um, there was multiple, you know,

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Speaker 1: small ones, as you meant, and that seemed to hit

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Speaker 1: all the way from mid October all the way to

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Speaker 1: the beginning of November. And so if you were waiting

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Speaker 1: on a cold front, you likely got to haunt one

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Speaker 1: at some point during what you considered some good rutting action.

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Speaker 1: And I've always considered that a potential factor in the past.

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Speaker 1: Why guys think that cold fronts uh are so great

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Speaker 1: from hunting, just because maybe it gives them a little

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Speaker 1: more confidence and it focuses you when you're in the

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Speaker 1: tree stand, and maybe you pick one of your better

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Speaker 1: tree stands on one of those cold front days. And uh,

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Speaker 1: it's not always attributed to the deer movement was potentially better, Um,

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Speaker 1: but you were just in a better spot and you

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Speaker 1: were more focused. Hm. So you're Sam. So you're saying

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Speaker 1: that maybe even if the cold fronts aren't impacting actual

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Speaker 1: dear behavior, if if nothing else, just because so many

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Speaker 1: people in the deer hunting media preach about cold friends,

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Speaker 1: it just increases hunters confidence and leads to better hunts

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Speaker 1: because of that. Yes, this is something I've been work

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Speaker 1: shopping for a while. I guess us that if if

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Speaker 1: you see a cold front coming, you're gonna be more

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Speaker 1: confident that the deer movement is going to be there.

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Speaker 1: And so, as you said, there's more guys in the woods,

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Speaker 1: you're likely picking one of your better tree stands for

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Speaker 1: that hunt. You're probably more focused because you're thinking, oh,

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Speaker 1: you know, this could be it. And so I think

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Speaker 1: we put a lot of stock into cold fronts and

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Speaker 1: what they dear to do to dear movement. Um. And

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Speaker 1: I think some of that is appropriate, But I think

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Speaker 1: the other half of the coin is that, uh, guys

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Speaker 1: just find themselves in better positions than they would be if, say,

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Speaker 1: a cold front wasn't there, you probably wouldn't be in

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Speaker 1: that stand because you wouldn't feel very good about the

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Speaker 1: deer movement in that area. It's an interesting observation. I

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Speaker 1: think there could be some truth to that. Um. I mean,

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Speaker 1: I certainly love cold fronts. I think that there definitely

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Speaker 1: is something to it. But you can't deny the fact

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Speaker 1: that there is a ton of hype around them these

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Speaker 1: days too. Like especially with social media and all the

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Speaker 1: media just regular outdoor media now too. Like I remember

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Speaker 1: that mid Act or that late October when that big

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Speaker 1: front was coming through the country. If you look to

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Speaker 1: Instagram or Facebook or anything, there were so many people

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Speaker 1: posting memes about it or all sorts of articles talking

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Speaker 1: about better be in the woods. Heck, I made a

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Speaker 1: YouTube video about it. I mean, there's all sorts of

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Speaker 1: people talking about the front. So just the level, the

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Speaker 1: level of talk about these big things coming across the country,

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Speaker 1: the impact deer hunting these days, Like, I think there's

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Speaker 1: a level of buzz about things, collective understanding about things

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Speaker 1: that there probably was not ten years ago. You know,

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Speaker 1: ten years ago, nobody was talking about this stuff. You know,

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Speaker 1: it's such a high degree where so many people are

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Speaker 1: hearing about the same things. So it's it's an interesting idea,

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Speaker 1: and I think it's something to think about. Um. But

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Speaker 1: I do love those could friends, Yeah, I I love

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Speaker 1: them as well. I'm always going to be a triet

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Speaker 1: if I get a chance on the cold Front. But

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Speaker 1: I think what we have is is potentially an echo

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Speaker 1: chamber of everybody say the same thing. As you mentioned

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Speaker 1: the media that you've got to be there in the

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Speaker 1: cold front, and then uh, that just gets repeated and

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Speaker 1: it becomes fact almost And then I know you've discussed

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Speaker 1: with some biologists, uh, how whether fronts affect your movement.

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Speaker 1: I believe Lindsay might have touched on this with you

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Speaker 1: one time, that there's no science that shows that cold

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Speaker 1: fronts affect dear movement. But I think he might have

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Speaker 1: may have even admitted that that goes against some of

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Speaker 1: his deer hunting um beliefs as well. And so, like

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Speaker 1: I said, I think cold fronts appropriately get some hype,

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Speaker 1: but it might be too much that there might be

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Speaker 1: other factors involved there. Ye, speaking of hype um. You know,

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Speaker 1: one of the things I noticed this here is I

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Speaker 1: was following the moon and the different theories around the

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Speaker 1: moon and seeing how that tracked with my own observations. Now, again,

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Speaker 1: he can't make too many claims or you know, uh

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Speaker 1: what am I trying to stay here? Out of one

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Speaker 1: person's observations. You don't want to take too much out

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Speaker 1: of that. So what I'm about to say here, don't

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Speaker 1: take this as as fact across the board. This is

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Speaker 1: just one person's officer rations, not even really data driven.

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Speaker 1: This is simply anecdotal. But I did try to track

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Speaker 1: the different moon theories, the red moon theories, you know,

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Speaker 1: when the moon's overheaded, underfoot, or if the moon is

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Speaker 1: rising or setting earlier late in the day, um, and

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Speaker 1: seeing if that correlated with increased activities. So on the

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Speaker 1: days and the moon was good, did I also see

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Speaker 1: the activity bump that you're supposed to? And I can't

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Speaker 1: say that I really saw anything noticeable. Um. I didn't

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Speaker 1: you know, go into those days and and just get

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Speaker 1: floored by oh my gosh, yeah, this is incredible, and

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Speaker 1: it was on those right days. Um. But again I

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Speaker 1: wasn't tracking it so closely that I could say that.

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Speaker 1: You know, if I was really good about this, I

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Speaker 1: would have tracked how many deer I saw per hour

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Speaker 1: or something throughout the entire season, and then look at

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Speaker 1: the days with the right moon conditions and I could

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Speaker 1: tell you, oh, well, on those days there was actually

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Speaker 1: a four percent increased you know, sight rating or something

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Speaker 1: like that. If I had that kind of data, then

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Speaker 1: maybe we could pull some conclusions. Um. I don't. But

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Speaker 1: just from my general observation standpoint, it didn't feel like

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Speaker 1: I saw anything different on those good moon days. Um,

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Speaker 1: and I've been tracking it for a handful of days.

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Speaker 1: I'm still up in the air on it. UM. Again

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Speaker 1: to what you said, Spencer, the research and science out

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Speaker 1: there doesn't point to any kind of correlation. They have

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Speaker 1: not been able to find a correlation. Um. But there's

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Speaker 1: a whole heck of a lot of good deer hunters

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Speaker 1: that still believe it. So that's that's an interesting thing. UM.

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Speaker 1: But I realized I'm pulling things off the rail here, Spencer.

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Speaker 1: I've totally taken you off of your five trends, So

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Speaker 1: maybe we want to get back onto your your track. Yeah,

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Speaker 1: So back to the five trains. The first two that

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Speaker 1: we just covered was the the e h D recovery

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Speaker 1: and then the October cold front. Uh. The third one,

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Speaker 1: keeping that October theme, was the huge acorn crop that

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Speaker 1: it seemed like everybody was dealing with this year. And

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Speaker 1: that was whether you're in Arkansas or Wisconsin, or Vermont

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Speaker 1: or Nebraska, there was just everybody was talking about the acorns,

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Speaker 1: and that could be good and bad some guys. Else

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Speaker 1: it was suppressing the movement in October that you had to,

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Speaker 1: you know, work harder to define the deer or others

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Speaker 1: were excited about it a little bit later in the year. So,

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Speaker 1: did you see a large acorn crop in in Michigan

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Speaker 1: or a lot of your contexts you've talked to you

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Speaker 1: uh hit on that hot topic this year. Yeah, I

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Speaker 1: think that was something that I saw as well. And

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Speaker 1: I think, UM to that point, if you were hunting

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Speaker 1: in a situation where you were kind of hoping for

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Speaker 1: or dependent on activities on egg related food sources or

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Speaker 1: food plots, that's where the acorn crop maybe screwed things

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Speaker 1: up for it. Because if you had like all of

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Speaker 1: your early season or mid October setups, you know, over

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Speaker 1: food like a grain, food source or food plot of

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Speaker 1: some kind, Like I had a couple of setups like that, UM,

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Speaker 1: I had very little activity on those spots in daylight, UM,

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Speaker 1: especially mature bucks compared to past years. And I think

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Speaker 1: a lot of that can be attributed to what you

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Speaker 1: just said that a lot of these deer they didn't

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Speaker 1: need to go onto the fields during daylight because they

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Speaker 1: had food food in the timber right next to their bedding, UM,

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Speaker 1: which you know, just makes it more difficult. You can't

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Speaker 1: get in there. It's very tough to catch use deer

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Speaker 1: in daylight. So so yeah, I heard a lot of

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Speaker 1: people mentioned that same thing, and I saw something that

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Speaker 1: as well. Yeah, I'd say the acorns uh in October

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Speaker 1: played a big role on how a lot of archers,

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Speaker 1: you know, whether they had success or not in seventeen.

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Speaker 1: So the fourth themed that I noticed was the late harvest.

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Speaker 1: As far as corn and soybeans. It seemed like we

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Speaker 1: had a wet beginning of the year and then pretty

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Speaker 1: mild temperatures that seem to keep farmers out of the fields,

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Speaker 1: and maybe some timely rains that um kept farmers out

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Speaker 1: of the fields as well, and that can change things

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Speaker 1: on a whole number of different scales. UM. I guess

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Speaker 1: you could see deer that consistently stay in fields that

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Speaker 1: never come out, you know. I find deer in South

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Speaker 1: Dakota that will bed and slows in the middle of

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Speaker 1: a corn field and you won't see them until harvest.

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Speaker 1: Or that could be good for you if you have

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Speaker 1: some the only food around. UM. So, if you're dependent

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Speaker 1: on corn or soybeans, you had likely had a late

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Speaker 1: harvest seas here and that was something that you were

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Speaker 1: always game planning around. Definitely, something impacts things here, specifically

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Speaker 1: in southern Michigan, we actually had early harvest. Um, we

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Speaker 1: had the crops coming out here earlier than I ever remember.

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Speaker 1: But that that could have been unique to just write

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Speaker 1: where I'm at, um, But I saw like the opposite

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Speaker 1: of what you just said, and that with that early Um,

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Speaker 1: with the early harvest of the corn fields and stuff,

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Speaker 1: lots of times that standing corn would keep deer in

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Speaker 1: some of these areas that maybe didn't have good cover otherwise.

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Speaker 1: So when those came down so early in our case,

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Speaker 1: it was like mid October that these corn fields were

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Speaker 1: coming down. Um, that changed things up just a lot

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Speaker 1: sooner than usual because more often than not, I'm seeing

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Speaker 1: you know, standing corn fields coming down, you know in

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Speaker 1: the first second week ago in November maybe around here.

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Speaker 1: And it was almost a full month earlier for me here,

351
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Speaker 1: So that that just changed things for me just in

352
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Speaker 1: a different way. But yeah, the time of the harvest,

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Speaker 1: that's a big one. Whether it's early or late. You

354
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Speaker 1: just need to stay on top of that if you

355
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Speaker 1: hunt in an area where where those things are happening, right,

356
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Speaker 1: And like I said, some guys were fired up about

357
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Speaker 1: another guys were down on If you were a gun

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Speaker 1: hunter and you know, you primarily hunt a big, open

359
00:18:20,400 --> 00:18:23,840
Speaker 1: cut cornfield, and that cornfield wasn't cut then obviously that

360
00:18:23,920 --> 00:18:26,960
Speaker 1: made things difficult for you. But if you UH came

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Speaker 1: upon you know, mid November and your corn hadn't been harvested,

362
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Speaker 1: you're an archer and you had some of the only

363
00:18:32,840 --> 00:18:35,960
Speaker 1: food around, uh than than that might have been great

364
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Speaker 1: for your situation. So the late harvest UH just played

365
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Speaker 1: a role for everybody. It seemed like weather good or bad.

366
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Speaker 1: I always, selfishly, I have always liked it when we

367
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Speaker 1: get a late harvest. I always root for standing corn

368
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Speaker 1: fields to still be standing on November because that's our

369
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Speaker 1: opening day gun season. And I always feel like if

370
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Speaker 1: you've got standing cornfields when a gun season opens up,

371
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Speaker 1: there's just to be more young bucks that make it

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Speaker 1: through the next year. I've always I wish I could

373
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Speaker 1: saw how track that UM to see if the rate

374
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Speaker 1: of bucks that reached maturity the year after a late

375
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Speaker 1: harvest year is higher, because I gotta believe that those

376
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Speaker 1: those standing cornfields save a lot of young bucks if

377
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Speaker 1: they're present. UM. That definitely didn't happen for us this year. Well.

378
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Speaker 1: And then the fifth theme, UH, it's just the month

379
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Speaker 1: of December and how the weather was in It seemed

380
00:19:27,359 --> 00:19:29,560
Speaker 1: like the first fifteen days or the first half of

381
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Speaker 1: December was fairly mild, and uh that was kind of

382
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Speaker 1: frustrating and maddening for a lot of guys who rely

383
00:19:36,520 --> 00:19:38,920
Speaker 1: on those good late season haunted. It didn't push the

384
00:19:39,000 --> 00:19:41,639
Speaker 1: deer onto the food plots that it normally would. It

385
00:19:41,720 --> 00:19:45,240
Speaker 1: didn't congregate them and didn't push him into the winter

386
00:19:45,359 --> 00:19:48,320
Speaker 1: bedding areas where they'd maybe be seeking some better cover.

387
00:19:48,440 --> 00:19:50,879
Speaker 1: And so it seemed like the first half of December

388
00:19:51,600 --> 00:19:53,560
Speaker 1: was kind of frustrating with the mild weather that we

389
00:19:53,600 --> 00:19:56,119
Speaker 1: had for for deer hunters at least, and then the

390
00:19:56,160 --> 00:19:59,199
Speaker 1: second half of December brought some harsher conditions, some snow,

391
00:20:00,119 --> 00:20:03,600
Speaker 1: wind and and some cold that uh did end up

392
00:20:03,640 --> 00:20:07,119
Speaker 1: helping guys out. People were excited that their plots finally

393
00:20:07,119 --> 00:20:10,040
Speaker 1: had some activity or that their late season food source

394
00:20:10,400 --> 00:20:12,520
Speaker 1: felt like it was being treated like a late season

395
00:20:12,560 --> 00:20:15,320
Speaker 1: food source as opposed to you know, just a couple

396
00:20:15,359 --> 00:20:19,280
Speaker 1: of days prior in early December. M hmm. Yeah, we

397
00:20:19,400 --> 00:20:22,840
Speaker 1: definitely definitely felt that. For sure, super warm early December,

398
00:20:22,920 --> 00:20:26,840
Speaker 1: super cold now in late December, um, which which leads

399
00:20:26,840 --> 00:20:29,800
Speaker 1: me to a question which is and I found myself

400
00:20:29,800 --> 00:20:31,439
Speaker 1: in the situation in the past. Even this year, I

401
00:20:31,480 --> 00:20:33,000
Speaker 1: was thinking about a little bit. Right it was early

402
00:20:33,040 --> 00:20:36,679
Speaker 1: December and I wanted to wait for a good cold front. Um.

403
00:20:36,720 --> 00:20:39,080
Speaker 1: But then I was thinking as December ticked along, and

404
00:20:39,200 --> 00:20:42,399
Speaker 1: now it's the seventh, eighth, ninth, Now it's the eleventh, twelve,

405
00:20:43,520 --> 00:20:45,919
Speaker 1: and you're waiting for this great weather. Well, what happens

406
00:20:45,920 --> 00:20:48,919
Speaker 1: if it never comes? At what? At what point do

407
00:20:48,960 --> 00:20:51,080
Speaker 1: you need to say, Well, I just gotta start hunting

408
00:20:51,440 --> 00:20:54,160
Speaker 1: these late season, dear, because we're not going to get

409
00:20:54,200 --> 00:20:57,159
Speaker 1: that megic cold front. So do you do you just

410
00:20:57,200 --> 00:20:59,640
Speaker 1: start going because you can't wait because the season could

411
00:20:59,640 --> 00:21:02,720
Speaker 1: just slip by, or or is the lesson learned from

412
00:21:02,720 --> 00:21:06,240
Speaker 1: this year that no, you should have stayed patient, because

413
00:21:06,240 --> 00:21:08,560
Speaker 1: if you waited until the twentie now you had this

414
00:21:08,640 --> 00:21:10,800
Speaker 1: incredible weather that did get the big bucks all on

415
00:21:10,840 --> 00:21:15,400
Speaker 1: the food sources in daylight um versus. You know, if

416
00:21:15,440 --> 00:21:18,600
Speaker 1: you had been pounding it on the eighth, ninth, tenth

417
00:21:18,680 --> 00:21:22,200
Speaker 1: when it was kind of mediocre temperatures, maybe you would

418
00:21:22,200 --> 00:21:23,960
Speaker 1: have pressured those deer and now you don't get to

419
00:21:23,960 --> 00:21:27,960
Speaker 1: see them when they're really cold. Temperatures hit Um, I

420
00:21:27,960 --> 00:21:30,200
Speaker 1: don't know. I I found myself struggle this in the

421
00:21:30,280 --> 00:21:32,720
Speaker 1: late season every year, like how long do I wait

422
00:21:33,080 --> 00:21:35,480
Speaker 1: until I start hunting? Because you want that perfect weather,

423
00:21:35,520 --> 00:21:38,280
Speaker 1: but you also you also need to take some take

424
00:21:38,359 --> 00:21:41,119
Speaker 1: some opportunities to get out there in the woods. Um.

425
00:21:41,160 --> 00:21:42,760
Speaker 1: But it's that balancing at because you don't want to

426
00:21:42,760 --> 00:21:45,560
Speaker 1: pressure them too much of this time of year. Did

427
00:21:45,560 --> 00:21:47,200
Speaker 1: you hear anything along those lines from any of the

428
00:21:47,240 --> 00:21:49,439
Speaker 1: other guys or from your experience, Spencer, as far as

429
00:21:49,480 --> 00:21:52,240
Speaker 1: you know, do you did you go for it anyways?

430
00:21:52,320 --> 00:21:54,040
Speaker 1: Or do you to keep on being patient and wait

431
00:21:54,080 --> 00:21:56,320
Speaker 1: and wait and wait until we do get that primo weather.

432
00:21:57,200 --> 00:21:59,840
Speaker 1: Nothing like that came up specifically in this episode, but

433
00:22:00,200 --> 00:22:03,040
Speaker 1: just reflecting on um, you know who we talked to

434
00:22:03,119 --> 00:22:04,600
Speaker 1: in the month of December and it just seemed like

435
00:22:04,640 --> 00:22:07,480
Speaker 1: a lot of selective pressure. And I remember talking to

436
00:22:07,640 --> 00:22:10,200
Speaker 1: it might have been bred Joy in the Northeast here

437
00:22:10,200 --> 00:22:12,720
Speaker 1: a couple of weeks ago, and uh, you know, their

438
00:22:12,760 --> 00:22:15,000
Speaker 1: season was like three days away from closing, and I

439
00:22:15,000 --> 00:22:17,280
Speaker 1: think I asked something about, you know, how aggressive are

440
00:22:17,280 --> 00:22:19,040
Speaker 1: you right now? And he said, well, there's three days

441
00:22:19,040 --> 00:22:22,720
Speaker 1: of the season left, so extremely aggressive. Um, So that

442
00:22:22,760 --> 00:22:25,359
Speaker 1: seems kind of obvious there that once it gets down

443
00:22:25,440 --> 00:22:27,800
Speaker 1: to the wire that you have to be more aggressive.

444
00:22:27,840 --> 00:22:30,400
Speaker 1: But then I remember talking to some other guys who said, well,

445
00:22:30,720 --> 00:22:33,359
Speaker 1: you know, we have until January fifteenth, and so if

446
00:22:33,440 --> 00:22:35,960
Speaker 1: we bump a deer now, that might be the last

447
00:22:36,000 --> 00:22:39,959
Speaker 1: time we see him this season. So just a selective pressure.

448
00:22:39,960 --> 00:22:42,320
Speaker 1: And I guess I don't know what the great answer

449
00:22:42,320 --> 00:22:44,240
Speaker 1: is unless you have a crystal ball to to see

450
00:22:44,280 --> 00:22:47,600
Speaker 1: what the weather is coming. Uh, just gotta roll the

451
00:22:47,600 --> 00:22:50,880
Speaker 1: dice with those haunts. It really is about being selective

452
00:22:50,880 --> 00:22:53,040
Speaker 1: about picking the right time to go in there. And

453
00:22:54,000 --> 00:22:56,000
Speaker 1: it's like you said, it's hard to make hard to

454
00:22:56,040 --> 00:22:58,960
Speaker 1: know what's coming. But I guess that's why deer hunting

455
00:22:59,040 --> 00:23:01,920
Speaker 1: is so much fun, because there's a lot of unknowns

456
00:23:02,040 --> 00:23:05,240
Speaker 1: and you gotta make decisions, make some assumptions, work off

457
00:23:05,280 --> 00:23:07,880
Speaker 1: of them, and hope for the best and sometimes works out,

458
00:23:08,160 --> 00:23:11,400
Speaker 1: sometimes it doesn't. So those are the five things that

459
00:23:11,400 --> 00:23:14,480
Speaker 1: that I felt like, um really were the theme of

460
00:23:14,920 --> 00:23:18,600
Speaker 1: seventeen across you know, the White Tailed Nation With everybody

461
00:23:18,600 --> 00:23:20,800
Speaker 1: this week, I asked him if there's something that they

462
00:23:20,840 --> 00:23:23,119
Speaker 1: felt like they picked up from this last fall that

463
00:23:23,160 --> 00:23:25,959
Speaker 1: they can use going forward, Maybe a lesson that they

464
00:23:26,040 --> 00:23:30,080
Speaker 1: learned in twenty seventeen that they'll use inen and seasons

465
00:23:30,119 --> 00:23:32,320
Speaker 1: after that. So is there something you mark that you

466
00:23:32,359 --> 00:23:35,560
Speaker 1: feel like you learned in seventeen that was really eye

467
00:23:35,560 --> 00:23:42,600
Speaker 1: opening for you? Man? Um, there's a lot, um. But

468
00:23:42,880 --> 00:23:45,320
Speaker 1: if I had to pick one thing to mention now,

469
00:23:45,840 --> 00:23:48,880
Speaker 1: I'll be expanding on these in our next Wird Hunt podcast.

470
00:23:48,960 --> 00:23:53,439
Speaker 1: But if I were to offer one thing right now, um,

471
00:23:53,520 --> 00:23:56,880
Speaker 1: it might Heck, where what do I want to say here?

472
00:23:58,720 --> 00:24:04,040
Speaker 1: Don't look at your phone too much. I'll keep it simple. No,

473
00:24:04,600 --> 00:24:09,400
Speaker 1: In all seriousness, I think, Um, I think it's just

474
00:24:09,680 --> 00:24:14,480
Speaker 1: been a season where man s, Yeah, I still haven't

475
00:24:14,480 --> 00:24:16,399
Speaker 1: collected all my own thoughts on things. It's still so

476
00:24:16,520 --> 00:24:19,040
Speaker 1: fresh for me. A lot of a lot of my

477
00:24:19,160 --> 00:24:22,040
Speaker 1: lessons learned this year were more related to my own

478
00:24:22,200 --> 00:24:25,399
Speaker 1: personal situation, you know, with my hunt for holy Field,

479
00:24:25,400 --> 00:24:28,240
Speaker 1: and that kind of consumed everything that I did this year.

480
00:24:29,160 --> 00:24:31,440
Speaker 1: So I didn't necessarily get to have as many lessons

481
00:24:31,520 --> 00:24:35,040
Speaker 1: learned um outside of that one experience, because so much

482
00:24:35,040 --> 00:24:38,240
Speaker 1: of what I did was revolving around that deer. Um.

483
00:24:38,480 --> 00:24:41,600
Speaker 1: So I do think that one big lesson learned I

484
00:24:41,680 --> 00:24:45,120
Speaker 1: had this year was just about goal setting UM, and

485
00:24:45,200 --> 00:24:50,320
Speaker 1: sometimes UM, putting all your eggs in one basket isn't

486
00:24:50,320 --> 00:24:52,920
Speaker 1: always as good of an idea. And I think doing

487
00:24:52,960 --> 00:24:55,639
Speaker 1: what I did kept me from doing a lot of

488
00:24:55,640 --> 00:24:57,359
Speaker 1: the other things that I think I would have enjoyed

489
00:24:57,400 --> 00:24:59,239
Speaker 1: and would have made for a great hunting season as well.

490
00:24:59,280 --> 00:25:02,600
Speaker 1: But I was so obsessed with this one thing. Um.

491
00:25:02,640 --> 00:25:05,119
Speaker 1: Now I realized this is not at all relevant to

492
00:25:05,160 --> 00:25:07,080
Speaker 1: the rest of the audience, who might be looking for

493
00:25:07,160 --> 00:25:11,359
Speaker 1: some kind of really high level deer hunting insight. So

494
00:25:11,440 --> 00:25:14,600
Speaker 1: maybe I should just shut up and listen to what

495
00:25:14,720 --> 00:25:17,080
Speaker 1: your observation or lesson learned is, because I'm sure it's

496
00:25:17,080 --> 00:25:20,080
Speaker 1: more helpful than everything I've just been rambling about. Well,

497
00:25:20,119 --> 00:25:23,040
Speaker 1: my lesson learned from seventeen was it goes back to

498
00:25:23,080 --> 00:25:27,080
Speaker 1: me killing that buck on September, and I rarely have

499
00:25:27,160 --> 00:25:31,479
Speaker 1: had much for early season success to excuse me to

500
00:25:31,560 --> 00:25:34,000
Speaker 1: that point where I can kill a mature buck like that.

501
00:25:34,480 --> 00:25:36,400
Speaker 1: I think one of the biggest things it was attributed

502
00:25:36,440 --> 00:25:39,159
Speaker 1: to was just the complete lack of pressure that I

503
00:25:39,200 --> 00:25:43,000
Speaker 1: had put on that property. UM. As I said earlier

504
00:25:43,040 --> 00:25:44,879
Speaker 1: this year, I got married in June, and then I

505
00:25:44,920 --> 00:25:47,280
Speaker 1: moved into a new house in August, and so that

506
00:25:47,400 --> 00:25:50,919
Speaker 1: really took away a lot of my opportunities to be

507
00:25:50,960 --> 00:25:54,479
Speaker 1: out scouting and hanging cameras and uh, doing things like that.

508
00:25:54,560 --> 00:25:57,359
Speaker 1: And so I was just hunting some historical movement on

509
00:25:57,400 --> 00:26:01,919
Speaker 1: that hunt, and that property hadn't had my boots on

510
00:26:01,960 --> 00:26:07,600
Speaker 1: it since I don't know, six months prior probably, and

511
00:26:07,640 --> 00:26:09,639
Speaker 1: so I think that just made a huge difference. Had

512
00:26:09,680 --> 00:26:12,640
Speaker 1: I been there, you know, multiple times hanging cameras or

513
00:26:12,720 --> 00:26:14,479
Speaker 1: you know, coming in and out on a four wheeler

514
00:26:14,520 --> 00:26:17,399
Speaker 1: or anything like that, I can't imagine I would have

515
00:26:17,400 --> 00:26:20,479
Speaker 1: had an opportunity at that booking. So it's just showed

516
00:26:20,480 --> 00:26:23,960
Speaker 1: me that less is more, um for for that time

517
00:26:24,000 --> 00:26:27,520
Speaker 1: of year. It's made me rethink potentially using some cell

518
00:26:27,600 --> 00:26:31,960
Speaker 1: cameras or you know, dialing way back on cameras in general,

519
00:26:32,160 --> 00:26:34,800
Speaker 1: so I'm not tempted to go check them you know,

520
00:26:35,080 --> 00:26:39,840
Speaker 1: September and things like that. So it's showed me that

521
00:26:39,880 --> 00:26:43,320
Speaker 1: you can have some success early season if you're just very,

522
00:26:43,400 --> 00:26:47,320
Speaker 1: very careful about it. Yeah. Agree, I think that's a

523
00:26:47,320 --> 00:26:50,960
Speaker 1: great point. Um So, Spencer, if you were to look

524
00:26:51,000 --> 00:26:56,240
Speaker 1: back on the last four months of hunting, how would

525
00:26:56,240 --> 00:26:58,800
Speaker 1: you rate the deer hunting on a scale of one

526
00:26:58,800 --> 00:27:03,119
Speaker 1: to ten for you, uh, for me, I really couldn't

527
00:27:03,119 --> 00:27:04,840
Speaker 1: have asked for a better season, So it was a

528
00:27:04,920 --> 00:27:09,920
Speaker 1: ten for myself. Had the hundred sixty six in September,

529
00:27:09,960 --> 00:27:13,320
Speaker 1: and then I killed the public Land mule hero was

530
00:27:13,440 --> 00:27:16,920
Speaker 1: very happy with, and then a huck in in November.

531
00:27:17,720 --> 00:27:20,920
Speaker 1: So I was very satisfied when I put together my season,

532
00:27:21,160 --> 00:27:24,040
Speaker 1: you know, in in the spring in summer. That's the

533
00:27:24,160 --> 00:27:27,040
Speaker 1: kind of Season nine vision happening. And so I couldn't

534
00:27:27,040 --> 00:27:29,320
Speaker 1: have asked for a better year. Do we want to

535
00:27:29,359 --> 00:27:31,040
Speaker 1: move on to the rest of the people. Yeah, we

536
00:27:31,119 --> 00:27:34,639
Speaker 1: just rambled for thirty minutes, so we've doubled a normal

537
00:27:35,000 --> 00:27:40,200
Speaker 1: radio episode, So I will talk to you in sounds

538
00:27:40,240 --> 00:27:42,320
Speaker 1: good Spencer, thanks a lot for doing this, and thank

539
00:27:42,320 --> 00:27:45,920
Speaker 1: you everyone for listening, and uh for those who participated

540
00:27:45,960 --> 00:27:49,000
Speaker 1: to just for me personally, UM, I appreciate you guys

541
00:27:49,080 --> 00:27:50,960
Speaker 1: working with Spencer. He can be a real bear to

542
00:27:51,000 --> 00:27:56,280
Speaker 1: work with. Good stuff, All right, thanks part. Before we

543
00:27:56,320 --> 00:27:58,399
Speaker 1: get to our first update, though, let's positive think our

544
00:27:58,400 --> 00:28:02,880
Speaker 1: sponsors at sitki Gear. For this week's story, we're joined

545
00:28:02,920 --> 00:28:06,119
Speaker 1: by sitcom Ambassador Alex Templeton, who tells us about some

546
00:28:06,200 --> 00:28:10,160
Speaker 1: exciting whitetail action from early November. I had been hiding

547
00:28:10,240 --> 00:28:13,600
Speaker 1: consistently all season long and Missouri with no luck, and

548
00:28:13,920 --> 00:28:17,679
Speaker 1: at the end of September I had the opportunity to

549
00:28:17,920 --> 00:28:20,440
Speaker 1: go to Illinois, which came at a good time because

550
00:28:20,480 --> 00:28:22,560
Speaker 1: the weather at home was really warm and the deer

551
00:28:22,600 --> 00:28:25,920
Speaker 1: weren't moving at all. So after hunting a week in Illinois,

552
00:28:26,160 --> 00:28:28,720
Speaker 1: coming home and the handed, I was very determined to

553
00:28:28,800 --> 00:28:32,119
Speaker 1: kill a deer with my bow before rifle season opened

554
00:28:32,160 --> 00:28:35,960
Speaker 1: up in Missouri, which is on November fifteenth every year UM.

555
00:28:36,000 --> 00:28:39,120
Speaker 1: At this point in the beginning of November UM and

556
00:28:39,120 --> 00:28:41,640
Speaker 1: the weather can be hit or mid this time of

557
00:28:41,640 --> 00:28:44,680
Speaker 1: the year as well, and this is when the rut

558
00:28:44,680 --> 00:28:47,040
Speaker 1: is starting to kick off at the beginning of November,

559
00:28:47,200 --> 00:28:49,400
Speaker 1: so I had pretty high hopes for good deer movement.

560
00:28:50,040 --> 00:28:53,920
Speaker 1: And after a couple long days and nights sitting on

561
00:28:53,960 --> 00:28:56,200
Speaker 1: an evening time on my favorite farm, I had a

562
00:28:56,280 --> 00:28:59,680
Speaker 1: clean eight come by and we offered me a perfect

563
00:29:00,120 --> 00:29:03,680
Speaker 1: side shot and I absolutely smoked him and I was

564
00:29:03,680 --> 00:29:06,520
Speaker 1: sorry to go a damn about sixty away from my stand,

565
00:29:06,600 --> 00:29:10,080
Speaker 1: and I was super excited and pretty proud of myself.

566
00:29:11,680 --> 00:29:15,120
Speaker 1: On Alexis hunt, she was wearing sicks elevated to pattern

567
00:29:15,240 --> 00:29:17,400
Speaker 1: in the women's line. If you'd like to create a

568
00:29:17,440 --> 00:29:19,720
Speaker 1: sikest story of your own, or to learn more about

569
00:29:19,720 --> 00:29:24,960
Speaker 1: Sitka's technical hunting apparel, visit Sitka gear dot com. Alright,

570
00:29:25,000 --> 00:29:27,720
Speaker 1: and joining me on the line first is Bryce Lamley

571
00:29:28,000 --> 00:29:32,040
Speaker 1: out of Nebraska with Sitka Gear. Now, Bryce in Nebraska,

572
00:29:32,280 --> 00:29:36,120
Speaker 1: what kind of a season did you have this year? Well?

573
00:29:36,360 --> 00:29:38,960
Speaker 1: Pretty good. I had to work really hard. I hunted

574
00:29:39,000 --> 00:29:42,680
Speaker 1: seventy six times before our guns season and ended up

575
00:29:42,760 --> 00:29:48,640
Speaker 1: killing about five by five remark scrape in October, and

576
00:29:48,680 --> 00:29:51,640
Speaker 1: then two days before rifle season killed a one thirty

577
00:29:51,680 --> 00:29:55,280
Speaker 1: six um inch buck um right in the evening, just

578
00:29:55,360 --> 00:29:57,040
Speaker 1: like I said, right before rifle season. But I had

579
00:29:57,080 --> 00:29:59,040
Speaker 1: to work really hard for him. And the one thirty

580
00:29:59,120 --> 00:30:01,800
Speaker 1: six was the second big year I saw. Bryce. It

581
00:30:01,840 --> 00:30:04,880
Speaker 1: sounds like a great year in UH this past year.

582
00:30:05,440 --> 00:30:07,560
Speaker 1: What are some of the big themes that you noticed

583
00:30:07,560 --> 00:30:11,040
Speaker 1: there in Nebraska as far as you know, weather, timing

584
00:30:11,040 --> 00:30:14,240
Speaker 1: of their odd things like that. Well, one of the

585
00:30:14,280 --> 00:30:17,000
Speaker 1: things is I don't think Nebraska, at least the eastern

586
00:30:17,000 --> 00:30:20,600
Speaker 1: Nebraska has really recovered totally from the h D epidemic

587
00:30:20,640 --> 00:30:22,960
Speaker 1: we had in two thousand twelve, and we've had a

588
00:30:22,960 --> 00:30:24,640
Speaker 1: little bit of a touch of it the last year

589
00:30:24,720 --> 00:30:26,680
Speaker 1: or two as well, But two thousand and twelve we've

590
00:30:26,680 --> 00:30:30,000
Speaker 1: got hammered pretty hard and it really knocked our numbers back,

591
00:30:30,320 --> 00:30:33,680
Speaker 1: and we're still not back to where they were before that,

592
00:30:33,720 --> 00:30:35,400
Speaker 1: and I don't know if they ever will be back,

593
00:30:35,480 --> 00:30:37,920
Speaker 1: because I think the Game and Parts Commission UM felt

594
00:30:37,960 --> 00:30:40,280
Speaker 1: some heat from a lot of farmers about deer numbers

595
00:30:40,280 --> 00:30:43,720
Speaker 1: at that time. But deer numbers are still rebounding, let's

596
00:30:43,720 --> 00:30:47,760
Speaker 1: just put it that way. Weatherwise, UM, the we had

597
00:30:48,040 --> 00:30:52,240
Speaker 1: extremely wet early season and then it's like somebody shut

598
00:30:52,240 --> 00:30:55,200
Speaker 1: the water off about mid October, so and it's been

599
00:30:55,280 --> 00:30:58,680
Speaker 1: dry ever since. And UM, I don't know if we've

600
00:30:58,680 --> 00:31:02,480
Speaker 1: had an inchur brain since probably mid October, and it's

601
00:31:02,480 --> 00:31:05,600
Speaker 1: still very dry right now. Well, bryce to the conditions

602
00:31:05,680 --> 00:31:10,200
Speaker 1: from feel similar to anything else that you can recall

603
00:31:10,240 --> 00:31:14,360
Speaker 1: in years past. Well, one of the um one of

604
00:31:14,360 --> 00:31:16,360
Speaker 1: the interesting things is we didn't get any We had

605
00:31:16,400 --> 00:31:19,240
Speaker 1: one snow I think in October in eastern Nebraska. It

606
00:31:19,320 --> 00:31:22,280
Speaker 1: lasted twelve hours, and then we really didn't get any

607
00:31:22,520 --> 00:31:24,960
Speaker 1: snow or cold weather until just right here at the

608
00:31:25,080 --> 00:31:28,719
Speaker 1: end the lake I live on near uh In just

609
00:31:28,840 --> 00:31:32,160
Speaker 1: that west of Omaha, Nebraska is Um, it didn't ice

610
00:31:32,200 --> 00:31:34,240
Speaker 1: over until after Christmas. I mean there were guys in

611
00:31:34,240 --> 00:31:37,680
Speaker 1: their kayaks on Christmas Day celebrating now, although the ice

612
00:31:37,680 --> 00:31:40,280
Speaker 1: fishermen haven't been real happy about it, but it's it

613
00:31:40,400 --> 00:31:43,040
Speaker 1: was really mild temperatures. And I just remember one year

614
00:31:43,040 --> 00:31:44,600
Speaker 1: and I couldn't tell you what year it was, but

615
00:31:44,640 --> 00:31:47,520
Speaker 1: we yet one year were the first mesa measurable snow

616
00:31:48,080 --> 00:31:51,080
Speaker 1: was December thirty one and kind of a memorable hunt.

617
00:31:51,080 --> 00:31:53,280
Speaker 1: I killed the dough that day, but it was, uh,

618
00:31:53,680 --> 00:31:55,000
Speaker 1: it was just kind of like that. It was just

619
00:31:55,040 --> 00:31:58,400
Speaker 1: an unusual year with without a lot of precipitation throughout

620
00:31:58,480 --> 00:32:00,840
Speaker 1: what you would generally consider to be the best hunting

621
00:32:01,280 --> 00:32:05,320
Speaker 1: days and weeks. Well, let's go back to talking about

622
00:32:05,320 --> 00:32:08,680
Speaker 1: that moisture and how do you think, um, that amount

623
00:32:08,720 --> 00:32:11,360
Speaker 1: of moisture that you guys received early season affected things.

624
00:32:11,400 --> 00:32:13,360
Speaker 1: Then how do you think in effective things come the

625
00:32:13,480 --> 00:32:17,960
Speaker 1: rout and then ultimately late season. Well, I think the

626
00:32:17,960 --> 00:32:20,560
Speaker 1: amount of rain we had early on in some areas

627
00:32:21,160 --> 00:32:24,400
Speaker 1: really helped define dear movement to some extent because it

628
00:32:24,800 --> 00:32:27,400
Speaker 1: it made some areas, I mean, deer can get through it.

629
00:32:27,440 --> 00:32:29,880
Speaker 1: But they're essentially lazy if they if they can be.

630
00:32:30,400 --> 00:32:33,000
Speaker 1: And so it's actually in some in some my areas

631
00:32:33,040 --> 00:32:37,120
Speaker 1: helped define the dear movement. But when it started turning dry,

632
00:32:37,280 --> 00:32:40,600
Speaker 1: I think it really lead to less scraping activity, if

633
00:32:40,600 --> 00:32:44,200
Speaker 1: that's possible, because I didn't pick up as many um

634
00:32:44,320 --> 00:32:48,560
Speaker 1: or as much scraping activity um that you know, in

635
00:32:48,560 --> 00:32:50,760
Speaker 1: in the in the prime time last half of October

636
00:32:50,800 --> 00:32:52,960
Speaker 1: and so forth, and as I usually do in the

637
00:32:52,960 --> 00:32:56,479
Speaker 1: ground is just um, you know, rock hard in many cases.

638
00:32:56,520 --> 00:32:58,640
Speaker 1: And I've heard that from some of my buddies over

639
00:32:58,640 --> 00:33:00,640
Speaker 1: in eastern Iowa. Two They just up staying, we need

640
00:33:00,680 --> 00:33:02,800
Speaker 1: some water to get these dear to to be more

641
00:33:02,840 --> 00:33:05,000
Speaker 1: active in the scrapes. And so I do think it

642
00:33:05,040 --> 00:33:07,160
Speaker 1: had a little bit of an effect there, um with

643
00:33:07,240 --> 00:33:10,000
Speaker 1: the with the rut just a little bit and our

644
00:33:10,120 --> 00:33:12,479
Speaker 1: rut in eastern Nebraska. It depends on who you talk

645
00:33:12,560 --> 00:33:14,080
Speaker 1: to you. But for me, I you know, I hinnd

646
00:33:14,120 --> 00:33:17,720
Speaker 1: it really hard always through um about November twentieth and

647
00:33:17,800 --> 00:33:20,600
Speaker 1: I was out of buck tags, and it was it

648
00:33:20,680 --> 00:33:24,440
Speaker 1: was not a really there was never any really strong

649
00:33:25,200 --> 00:33:27,160
Speaker 1: days when I was just like, wow, this is a circus.

650
00:33:27,400 --> 00:33:30,200
Speaker 1: In most years, I'll get some of that. Um. Now,

651
00:33:30,240 --> 00:33:32,360
Speaker 1: I have a brother out in southwest Nebraska and it's

652
00:33:32,440 --> 00:33:34,200
Speaker 1: just as hard as I do. And he said it

653
00:33:34,280 --> 00:33:37,960
Speaker 1: was crazy out there combination of white Town annual deer hunting.

654
00:33:38,360 --> 00:33:40,080
Speaker 1: So I think it probably depends on where you were at,

655
00:33:40,080 --> 00:33:43,280
Speaker 1: but I know in eastern Nebraska myself and several others

656
00:33:43,280 --> 00:33:46,360
Speaker 1: were a little bit disappointed in that. Well, Bryce, you

657
00:33:46,440 --> 00:33:49,800
Speaker 1: have a long resume of successful white heil hunting with

658
00:33:49,840 --> 00:33:53,040
Speaker 1: a bow, But in ten do you feel like that

659
00:33:53,080 --> 00:33:57,680
Speaker 1: you learned anything new, or that the weather, the ruts,

660
00:33:57,760 --> 00:34:01,520
Speaker 1: anything changed for you that that really, uh, something you'll

661
00:34:01,520 --> 00:34:05,360
Speaker 1: apply going forward. Well, yeah, one of the I think

662
00:34:05,680 --> 00:34:07,680
Speaker 1: one of our goals should be to learn something every

663
00:34:07,680 --> 00:34:11,319
Speaker 1: time we hunt. And this year I dealt with a

664
00:34:11,360 --> 00:34:16,920
Speaker 1: property that had been basically bulldozed, and uh, it's just

665
00:34:16,960 --> 00:34:19,839
Speaker 1: a passion. There's no cattle on it, and it grew

666
00:34:19,880 --> 00:34:23,080
Speaker 1: up in a lot of weeds, and so I, you know,

667
00:34:23,120 --> 00:34:25,920
Speaker 1: there's a learning experience for me basically hunting a weed field.

668
00:34:26,239 --> 00:34:29,000
Speaker 1: But I did have a lot of activity and then

669
00:34:29,040 --> 00:34:30,719
Speaker 1: once the corn came out, there was a lot of

670
00:34:30,719 --> 00:34:33,319
Speaker 1: deer activity in the weeds and so forth, And so

671
00:34:33,800 --> 00:34:35,560
Speaker 1: maybe I'm getting a little bit of a feel for

672
00:34:35,560 --> 00:34:38,640
Speaker 1: for guys that hunt CRP quite a bit. Um, I'm

673
00:34:38,680 --> 00:34:40,440
Speaker 1: starting to get a feel for that and maybe a

674
00:34:40,480 --> 00:34:43,359
Speaker 1: newfound respect for that because I was really depressed about

675
00:34:43,360 --> 00:34:45,799
Speaker 1: what was happening to this property, but now not so much.

676
00:34:45,840 --> 00:34:48,359
Speaker 1: And even after I killed my buck, Um, I had

677
00:34:48,360 --> 00:34:50,560
Speaker 1: a really close encounter with the biggest year. I saw

678
00:34:50,560 --> 00:34:53,600
Speaker 1: a year one forty on that property and and I

679
00:34:53,640 --> 00:34:56,040
Speaker 1: hope he made it. I think he did, and so

680
00:34:56,080 --> 00:34:58,760
Speaker 1: it'll be interesting to match with with him again. Um.

681
00:34:58,800 --> 00:35:00,640
Speaker 1: It's a little bit different type of hunting. They can

682
00:35:00,680 --> 00:35:02,760
Speaker 1: see it coming a lot further away in many cases,

683
00:35:02,800 --> 00:35:05,040
Speaker 1: but I I think that there are some things you

684
00:35:05,080 --> 00:35:07,360
Speaker 1: can do with with a lot of grass and a

685
00:35:07,400 --> 00:35:11,960
Speaker 1: lot of weeds. And um, I'm hopefully learning to adapt

686
00:35:12,000 --> 00:35:15,120
Speaker 1: to the changes. I guess. All right, Bryce Fell, great intel,

687
00:35:15,360 --> 00:35:18,000
Speaker 1: thanks for joining me, and good luck in the season.

688
00:35:19,040 --> 00:35:23,400
Speaker 1: I appreciate. Thank you, Spencer alright and joining us on

689
00:35:23,440 --> 00:35:26,440
Speaker 1: the line. Next is Elik Gilstrom out of Illinois with

690
00:35:26,480 --> 00:35:30,520
Speaker 1: white tail properties now Alex in Illinois, what kind of

691
00:35:30,560 --> 00:35:34,520
Speaker 1: season have you had thus far? It's been a it's

692
00:35:34,520 --> 00:35:37,120
Speaker 1: been a blessed one, man, I gotta tell you. Um,

693
00:35:37,400 --> 00:35:41,840
Speaker 1: really good, uh, really good hunting from really from the

694
00:35:41,880 --> 00:35:45,319
Speaker 1: word go. We had really good, really good weather coming in,

695
00:35:45,400 --> 00:35:49,120
Speaker 1: really good a cold front steer movement's been spot on. UM.

696
00:35:49,200 --> 00:35:52,600
Speaker 1: We had an awesome uh, an awesome rut here in

697
00:35:52,600 --> 00:35:55,719
Speaker 1: in early November. UM. I actually killed a buck on

698
00:35:55,800 --> 00:35:58,399
Speaker 1: the tent and it was it was one of those

699
00:35:58,440 --> 00:36:00,239
Speaker 1: mornings that we dream about, you know. I mean it was.

700
00:36:00,280 --> 00:36:02,480
Speaker 1: I was tucked in close to some security cover. It

701
00:36:02,520 --> 00:36:05,560
Speaker 1: was up against the Bedding Area transition line along c RP.

702
00:36:05,760 --> 00:36:07,839
Speaker 1: It was it was perfect, just kind of wit kind

703
00:36:07,840 --> 00:36:10,480
Speaker 1: of pinched down with this UM with the terrain as

704
00:36:10,520 --> 00:36:13,480
Speaker 1: well as the cover, UM created a really just kind

705
00:36:13,520 --> 00:36:16,680
Speaker 1: of good natural funnel and I shot the bucket in

706
00:36:16,680 --> 00:36:18,439
Speaker 1: the morning. He was the eleventh buck that I saw

707
00:36:18,520 --> 00:36:20,480
Speaker 1: that morning. Uh. It's kind of one of those, like

708
00:36:20,520 --> 00:36:22,040
Speaker 1: I said, one of those ones you just dream about.

709
00:36:22,160 --> 00:36:25,560
Speaker 1: So that was great. Well, let's talk about that weather

710
00:36:25,600 --> 00:36:27,879
Speaker 1: a little more that it sounds like you think led

711
00:36:27,920 --> 00:36:31,399
Speaker 1: to some of your successes this year, starting in October

712
00:36:31,480 --> 00:36:33,640
Speaker 1: and then going in November December. How do you think

713
00:36:33,680 --> 00:36:38,920
Speaker 1: the weather affected buck movement this season? I think it

714
00:36:39,000 --> 00:36:41,040
Speaker 1: was really good in in in the area that I

715
00:36:41,080 --> 00:36:44,919
Speaker 1: was hunting. Here in west central Illinois. Um, that's where

716
00:36:44,920 --> 00:36:46,399
Speaker 1: I spent months, where I lived, where I spent most

717
00:36:46,440 --> 00:36:49,960
Speaker 1: of my time. UM. And it really it was it

718
00:36:50,040 --> 00:36:53,799
Speaker 1: was fairly mild, um, you know, kind of throughout. But

719
00:36:53,920 --> 00:36:56,400
Speaker 1: we had we had just I mean, you couldn't you

720
00:36:56,400 --> 00:36:59,320
Speaker 1: couldn't pull up a calendar and point to where you

721
00:36:59,360 --> 00:37:01,520
Speaker 1: want cold front to fall any better than what they did.

722
00:37:01,560 --> 00:37:04,759
Speaker 1: I mean it really was um awesome to see that.

723
00:37:05,000 --> 00:37:08,040
Speaker 1: And and the tempts fell at the right time. Pressure

724
00:37:08,080 --> 00:37:10,600
Speaker 1: was high at the right time, UM, and the dear

725
00:37:10,800 --> 00:37:14,520
Speaker 1: movement reflected that. UM. So that was that was really great.

726
00:37:14,640 --> 00:37:18,120
Speaker 1: And uh so overall that it wasn't like we had

727
00:37:18,280 --> 00:37:21,320
Speaker 1: you know, unusually cold uh fall as far as general

728
00:37:21,320 --> 00:37:24,080
Speaker 1: temperatures go. UM, I would say it was probably fairly

729
00:37:24,120 --> 00:37:26,759
Speaker 1: average here to slightly a little bit above average as

730
00:37:26,800 --> 00:37:30,399
Speaker 1: far as the standard temperature we went. But um, like

731
00:37:30,440 --> 00:37:33,080
Speaker 1: I said, you know, we had those those anywhere from

732
00:37:33,080 --> 00:37:36,680
Speaker 1: ten to twenty degree drops situated in the right times

733
00:37:36,680 --> 00:37:39,880
Speaker 1: and by the right times. I'm talking you know, UM

734
00:37:40,000 --> 00:37:42,560
Speaker 1: that the last ten days of October we had a

735
00:37:42,600 --> 00:37:46,000
Speaker 1: good one, um. And then the first I'd say, you know,

736
00:37:46,040 --> 00:37:48,600
Speaker 1: the first few days of November a little bit warm.

737
00:37:48,920 --> 00:37:51,760
Speaker 1: Then it dipped off I think right around the fifth

738
00:37:51,880 --> 00:37:54,680
Speaker 1: or the sixth, if I remembmembering correctly, we had another

739
00:37:55,000 --> 00:37:57,680
Speaker 1: another good front move in and and made you know,

740
00:37:57,760 --> 00:38:00,920
Speaker 1: the sixth to the twelve or thirteenth from really really strong.

741
00:38:01,040 --> 00:38:03,480
Speaker 1: So it was it was awesome to see that. And

742
00:38:03,840 --> 00:38:05,200
Speaker 1: like I said, it just kind of you couldn't you

743
00:38:05,200 --> 00:38:07,360
Speaker 1: couldn't point time point on a calendar to have, you know,

744
00:38:07,400 --> 00:38:09,160
Speaker 1: I want a cold front during this time frame when

745
00:38:09,320 --> 00:38:11,279
Speaker 1: you know their daylight movements really picking up and they're

746
00:38:11,280 --> 00:38:14,719
Speaker 1: getting really active. Um as far as the mature bucks go, Uh,

747
00:38:14,880 --> 00:38:17,640
Speaker 1: you couldn't ask for any better. Really, well, from talking

748
00:38:17,640 --> 00:38:21,279
Speaker 1: to hunters all across the nation, uh, this season, one

749
00:38:21,320 --> 00:38:24,080
Speaker 1: common theme that I heard from everybody was acorns and

750
00:38:24,120 --> 00:38:26,720
Speaker 1: how did acorns play role in Illinois and you're hunting

751
00:38:26,760 --> 00:38:31,319
Speaker 1: and specifically yeah that Yeah, that doesn't surprise me that

752
00:38:31,320 --> 00:38:34,080
Speaker 1: that was a hot topic this year, just because um

753
00:38:34,320 --> 00:38:37,680
Speaker 1: it was they were, they were everywhere. I mean, it

754
00:38:37,800 --> 00:38:41,160
Speaker 1: was it was nuts from I mean, it's it's always cool.

755
00:38:41,200 --> 00:38:42,920
Speaker 1: You get excited. You never see the white oaks. I mean,

756
00:38:42,960 --> 00:38:45,160
Speaker 1: that's that's a year at least, you know in the Midwest,

757
00:38:45,239 --> 00:38:47,640
Speaker 1: especially in western Illinois here. If you have white oaks,

758
00:38:47,640 --> 00:38:50,319
Speaker 1: the deer just love them. Um, they were loaded this year.

759
00:38:50,360 --> 00:38:52,279
Speaker 1: It seemed like pin oaks and the red oaks were

760
00:38:52,320 --> 00:38:54,200
Speaker 1: really good too. I mean, if you had if you

761
00:38:54,239 --> 00:38:56,600
Speaker 1: had good oak trees and and they were definitely loaded

762
00:38:56,640 --> 00:38:59,719
Speaker 1: up with acorns, there's no question. Um, and I kind

763
00:38:59,719 --> 00:39:04,799
Speaker 1: of had. Uh. Again, it's kind of a bittersweet relationship

764
00:39:04,840 --> 00:39:07,040
Speaker 1: with acorns this year at one of my farms that

765
00:39:07,120 --> 00:39:09,120
Speaker 1: I'm I've got the privilege to hunt on and it's

766
00:39:09,160 --> 00:39:10,960
Speaker 1: I don't, I don't have any leases or anything like that,

767
00:39:11,040 --> 00:39:13,200
Speaker 1: so it's I've got permission on a couple of places

768
00:39:13,239 --> 00:39:15,440
Speaker 1: and and actually hunts some uh hunts of public to

769
00:39:15,880 --> 00:39:19,000
Speaker 1: quite a bit. So Um, you kind of gott to

770
00:39:19,040 --> 00:39:21,200
Speaker 1: pick and choose your your battles as far as that goes.

771
00:39:21,280 --> 00:39:25,960
Speaker 1: But um, it's uh one of them in particular, it

772
00:39:26,120 --> 00:39:28,600
Speaker 1: was loaded with oaks. Um. Kind of these had these

773
00:39:28,719 --> 00:39:30,560
Speaker 1: you know, two big ridges that run through the property

774
00:39:30,560 --> 00:39:33,239
Speaker 1: and they were loaded with oaks. So it kind of

775
00:39:33,280 --> 00:39:35,080
Speaker 1: dispersed the gear a little bit because there was so

776
00:39:35,120 --> 00:39:37,600
Speaker 1: many oak trees. And then um, so that made it

777
00:39:37,640 --> 00:39:39,120
Speaker 1: really it made it tough. I mean, it makes it

778
00:39:39,160 --> 00:39:40,640
Speaker 1: tough when you have that too. It makes it tough

779
00:39:40,680 --> 00:39:43,720
Speaker 1: for access because you know, the deer aren't quote unquote

780
00:39:43,719 --> 00:39:45,799
Speaker 1: where they're supposed to be at the right times when

781
00:39:45,800 --> 00:39:47,280
Speaker 1: you're trying to get in and out of the property,

782
00:39:47,360 --> 00:39:49,440
Speaker 1: and um, you can always seems like you end up

783
00:39:49,440 --> 00:39:51,319
Speaker 1: bumping more deer just because there's kind of scattered out

784
00:39:51,320 --> 00:39:53,760
Speaker 1: more and it changes their patterns a little bit, especially

785
00:39:53,800 --> 00:39:57,600
Speaker 1: when they're transitioning off of the early seasoned food sources. Um.

786
00:39:58,239 --> 00:39:59,920
Speaker 1: But then you know, conversely, on the other side, do

787
00:40:00,000 --> 00:40:02,680
Speaker 1: of a piece of property where um, it's got a

788
00:40:02,680 --> 00:40:04,560
Speaker 1: bunch of ridges that kind of come together, and at

789
00:40:04,560 --> 00:40:06,600
Speaker 1: the point of where they all come together, that's where

790
00:40:06,800 --> 00:40:09,719
Speaker 1: there's kind of like a concentration of these um of

791
00:40:09,760 --> 00:40:11,360
Speaker 1: these oaks are. And actually that's the farm where I

792
00:40:11,400 --> 00:40:14,000
Speaker 1: ended up killing my Illinois deer. And I was actually

793
00:40:14,080 --> 00:40:17,640
Speaker 1: on one of the ridges instead of on the concentration point.

794
00:40:17,719 --> 00:40:19,640
Speaker 1: I had hunted that these amount of times and hadn't

795
00:40:19,640 --> 00:40:21,600
Speaker 1: had any luck and moved off to a to a

796
00:40:21,640 --> 00:40:25,640
Speaker 1: different ridge and um, and I'm I'm only kind of

797
00:40:25,640 --> 00:40:28,719
Speaker 1: guessing that's where he was headed. Uh, just in terms

798
00:40:28,719 --> 00:40:30,719
Speaker 1: of travel patterns and kind of figuring out what they

799
00:40:30,719 --> 00:40:33,560
Speaker 1: were doing. On this particular farm. Uh, he was kind

800
00:40:33,560 --> 00:40:35,279
Speaker 1: of headed to that back to you know, and then

801
00:40:35,280 --> 00:40:39,080
Speaker 1: they bed off farther away from on beyond that that

802
00:40:39,120 --> 00:40:41,160
Speaker 1: center point where the ridges kind of come together. But

803
00:40:41,360 --> 00:40:44,200
Speaker 1: he was definitely headed in that direction. Um. And I

804
00:40:44,200 --> 00:40:45,960
Speaker 1: attribute a lot of that too, you know, to those

805
00:40:46,000 --> 00:40:49,319
Speaker 1: acorns because having that concentration of those oaks in that

806
00:40:49,360 --> 00:40:52,560
Speaker 1: particular you know, um, and then you do you couple

807
00:40:52,680 --> 00:40:56,319
Speaker 1: that with train features of the ridges coming together. Um,

808
00:40:56,640 --> 00:40:58,640
Speaker 1: they made for an awesome combination. I mean you saw,

809
00:40:58,680 --> 00:41:00,719
Speaker 1: like I said, the morning I killed my up, there

810
00:41:00,840 --> 00:41:02,400
Speaker 1: was here in Illinois, there was a that was the

811
00:41:02,400 --> 00:41:04,280
Speaker 1: eleventh buck I saw that morning. You not to mention,

812
00:41:04,440 --> 00:41:07,239
Speaker 1: you know, a dozen dolls or so. Um. So it

813
00:41:07,640 --> 00:41:10,480
Speaker 1: definitely was cool because it concentrated the deer in that

814
00:41:10,520 --> 00:41:12,440
Speaker 1: area and then you know you talk to the pre

815
00:41:12,560 --> 00:41:14,040
Speaker 1: route and or the road on top of that. It

816
00:41:14,160 --> 00:41:15,920
Speaker 1: just made for made for really good. So I kind

817
00:41:15,920 --> 00:41:18,080
Speaker 1: of stop both ends of that spectrum. But yeah, I mean,

818
00:41:18,280 --> 00:41:19,880
Speaker 1: if if you had a lot of oaks or a

819
00:41:19,880 --> 00:41:21,520
Speaker 1: lot of acorns and your hunting area have no, it

820
00:41:21,520 --> 00:41:23,600
Speaker 1: does not surprise me one bit that there was there.

821
00:41:23,640 --> 00:41:25,160
Speaker 1: You know, you kind of kind of gave you a

822
00:41:25,200 --> 00:41:28,400
Speaker 1: headache this year. Well, Alex, what is one thing that

823
00:41:28,440 --> 00:41:32,440
Speaker 1: you've taken away from this last ball the season that

824
00:41:32,640 --> 00:41:34,960
Speaker 1: something you think you can apply going forward or something

825
00:41:35,000 --> 00:41:37,239
Speaker 1: that's really gonna stick with you and in the years

826
00:41:37,280 --> 00:41:39,920
Speaker 1: to come. Honestly, for me, I mean, I've always been

827
00:41:39,960 --> 00:41:43,560
Speaker 1: a huge proponent of postseason scouting UM and I've done

828
00:41:43,560 --> 00:41:45,400
Speaker 1: it for for quite a while and it's and it

829
00:41:45,480 --> 00:41:48,560
Speaker 1: just continues to to add more confidence and more success

830
00:41:48,560 --> 00:41:50,520
Speaker 1: to each year. And I'm just gonna do even more

831
00:41:50,560 --> 00:41:52,439
Speaker 1: of that this year. I mean, when you can really

832
00:41:52,480 --> 00:41:54,640
Speaker 1: go in in the early spring before green up and

833
00:41:54,640 --> 00:41:56,400
Speaker 1: and shortly after snow melt, and you can kind of

834
00:41:56,680 --> 00:41:58,560
Speaker 1: really start to put the pieces of the puzzle together

835
00:41:58,600 --> 00:42:01,080
Speaker 1: on betting areas and feeding areas, travel routes, deer sign

836
00:42:01,080 --> 00:42:03,520
Speaker 1: I mean something buck sign in general, of deer sign

837
00:42:03,560 --> 00:42:06,239
Speaker 1: in general. Uh, it really can do wonders UM to

838
00:42:06,400 --> 00:42:08,480
Speaker 1: to really get a good understanding of how the deer

839
00:42:08,600 --> 00:42:12,040
Speaker 1: using its particular property property you're hunting UM. And I'd

840
00:42:12,080 --> 00:42:14,320
Speaker 1: say that and coupled with one of the other really

841
00:42:14,400 --> 00:42:16,000
Speaker 1: really cool things I got to do this year was

842
00:42:16,160 --> 00:42:18,440
Speaker 1: UM and we're in western Illinois, you know, we're in

843
00:42:18,640 --> 00:42:20,520
Speaker 1: We're in hill country here. There's a lot of ridges

844
00:42:20,600 --> 00:42:23,400
Speaker 1: and and and you know, kind of rising terrain and

845
00:42:23,480 --> 00:42:26,600
Speaker 1: a lot of differentiation between terrain and UM. I've hunted

846
00:42:26,600 --> 00:42:28,319
Speaker 1: a let a little bit, just kind of you know,

847
00:42:28,360 --> 00:42:30,560
Speaker 1: sporadically in the past, but you know, actually having a

848
00:42:30,600 --> 00:42:33,120
Speaker 1: full you know season here since I moved here to

849
00:42:33,200 --> 00:42:36,799
Speaker 1: really dedicate to to the to understanding hill country hunting

850
00:42:36,800 --> 00:42:38,800
Speaker 1: in terrain has been a lot of fun. I've actually

851
00:42:38,880 --> 00:42:40,719
Speaker 1: really enjoyed just kind of how the how the deer,

852
00:42:40,760 --> 00:42:42,880
Speaker 1: especially the mature bucks kind of used the train to

853
00:42:42,920 --> 00:42:45,279
Speaker 1: their advantage, everything from thermals in wind direction to just

854
00:42:45,360 --> 00:42:48,480
Speaker 1: general travel patterns. Um, it's been really really cool from

855
00:42:48,480 --> 00:42:49,719
Speaker 1: what I'm used to. I usually I grew up in

856
00:42:49,800 --> 00:42:53,399
Speaker 1: southwest Michigan and there just isn't much terrain there, so uh,

857
00:42:53,719 --> 00:42:55,719
Speaker 1: kind of throwing that throwing that curve ball into the

858
00:42:55,760 --> 00:42:57,080
Speaker 1: mix has been a lot of fun to this year.

859
00:42:57,320 --> 00:42:59,160
Speaker 1: As far as the h D goes, you know, it's

860
00:42:59,160 --> 00:43:01,400
Speaker 1: always a hot topic, especially the last couple of years here,

861
00:43:01,480 --> 00:43:02,960
Speaker 1: and I feel like you're in western Illinois, you know

862
00:43:03,000 --> 00:43:05,240
Speaker 1: what we call its historically known as the Golden Triangle.

863
00:43:05,880 --> 00:43:08,239
Speaker 1: We were definitely affected in the two thousand twelves you know,

864
00:43:08,480 --> 00:43:12,000
Speaker 1: die off. UM, but now it's it's it's it's really

865
00:43:12,000 --> 00:43:15,120
Speaker 1: exciting looking for you know, thank god we've had the

866
00:43:15,280 --> 00:43:17,240
Speaker 1: relief the last couple of years. We haven't been affected

867
00:43:17,239 --> 00:43:19,960
Speaker 1: by it. But to see the age structure, you know,

868
00:43:20,040 --> 00:43:22,200
Speaker 1: I meantime h D, it's kind of hitting that reset button.

869
00:43:22,200 --> 00:43:25,400
Speaker 1: It's almost like, but um, to see that age structure

870
00:43:25,440 --> 00:43:28,000
Speaker 1: really come back. UM, I think the next year and

871
00:43:28,120 --> 00:43:32,520
Speaker 1: especially two years from now, barring any h D disasters, UM,

872
00:43:32,560 --> 00:43:34,200
Speaker 1: I think we're gonna see some of the best hunting

873
00:43:34,200 --> 00:43:36,239
Speaker 1: that's ever been here, or at least similar to what

874
00:43:36,280 --> 00:43:38,000
Speaker 1: it was in the late nineties, early two thousands, Like

875
00:43:38,040 --> 00:43:41,759
Speaker 1: everybody talks about UM, age structures really come back and

876
00:43:41,760 --> 00:43:43,760
Speaker 1: and it's and it's been an exciting time to see,

877
00:43:43,800 --> 00:43:46,839
Speaker 1: you know, a lot of great, great three year olds.

878
00:43:46,880 --> 00:43:48,600
Speaker 1: Awesome for you, I mean, and then you're really getting

879
00:43:48,640 --> 00:43:51,120
Speaker 1: you know, the quantity of mature bucks has certainly coming

880
00:43:51,120 --> 00:43:53,480
Speaker 1: back to so UM, I think we're in good shape.

881
00:43:54,239 --> 00:43:57,200
Speaker 1: All right, alex Will, congrats on your seventeen successes in

882
00:43:57,239 --> 00:44:00,440
Speaker 1: good luck. Thanks for joining me. Thanks, it's the same

883
00:44:00,440 --> 00:44:03,600
Speaker 1: to you. Before we get to our next color, though,

884
00:44:03,800 --> 00:44:07,640
Speaker 1: let's positive thing our sponsors at white Tail Properties this

885
00:44:07,680 --> 00:44:10,880
Speaker 1: week with white Tail Properties, we are joined by Tom James,

886
00:44:11,040 --> 00:44:14,520
Speaker 1: a land specialist out of Central Indiana, and Tom is

887
00:44:14,520 --> 00:44:16,560
Speaker 1: going to be telling us about what the very first

888
00:44:16,600 --> 00:44:21,960
Speaker 1: habitat improvements should be for a land manager. Good question, Um.

889
00:44:22,360 --> 00:44:25,000
Speaker 1: Some of the first key things, the fundamentals that you

890
00:44:25,040 --> 00:44:27,680
Speaker 1: want to think about is when you think in terms

891
00:44:27,680 --> 00:44:31,200
Speaker 1: of what a deer requires, the food, security, covering, water

892
00:44:32,000 --> 00:44:34,120
Speaker 1: and the q d m A has a great analogy

893
00:44:34,200 --> 00:44:37,640
Speaker 1: of the thinking about the lowest hole on the bucket

894
00:44:37,680 --> 00:44:39,200
Speaker 1: that you need to plug up to keep the water

895
00:44:39,239 --> 00:44:43,480
Speaker 1: from leaking out. So what could be missing on your

896
00:44:43,520 --> 00:44:47,120
Speaker 1: property that the surrounding land may have, and so you

897
00:44:47,120 --> 00:44:49,600
Speaker 1: want to do a quick assessment. Maybe it's food, Maybe

898
00:44:49,640 --> 00:44:52,520
Speaker 1: it's water. Maybe if you can maybe it's cover. If

899
00:44:52,520 --> 00:44:54,720
Speaker 1: you can look through your woods and see two hundred yards,

900
00:44:54,719 --> 00:44:57,800
Speaker 1: then you've got an issue with with too much shade,

901
00:44:57,840 --> 00:45:02,120
Speaker 1: not enough sunlight creating new potential brows and cover for

902
00:45:02,200 --> 00:45:05,000
Speaker 1: your deer. So maybe it's a timber, a timber either

903
00:45:05,600 --> 00:45:08,280
Speaker 1: stand improvement or a harvest or a combination of two

904
00:45:08,400 --> 00:45:10,600
Speaker 1: that's gonna allow some more new growth to come in

905
00:45:10,680 --> 00:45:13,640
Speaker 1: and picking up your property. Maybe it's as simple as

906
00:45:13,680 --> 00:45:16,120
Speaker 1: you're not leaving an area alone as a sanctuary. If

907
00:45:16,120 --> 00:45:19,120
Speaker 1: you're trapesing all over forty acres and pushing deer off

908
00:45:19,160 --> 00:45:21,760
Speaker 1: every time you go, then that's that's obviously an issue.

909
00:45:21,800 --> 00:45:24,080
Speaker 1: So maybe just an adjustment in the way that you

910
00:45:24,800 --> 00:45:27,879
Speaker 1: move around and hunt the property and approach things. Uh.

911
00:45:27,920 --> 00:45:31,759
Speaker 1: If food is your lacking ingredient or your lowest hole

912
00:45:31,800 --> 00:45:34,800
Speaker 1: in the bucket, then even in timber, it takes some work,

913
00:45:34,800 --> 00:45:38,320
Speaker 1: but you can certainly clear out some openings and plant food.

914
00:45:38,880 --> 00:45:43,000
Speaker 1: Um and I would suggest considering both perennial food and

915
00:45:43,080 --> 00:45:45,200
Speaker 1: annual food stuff that you can leave in like clover

916
00:45:45,280 --> 00:45:48,120
Speaker 1: and chicory as a perennial coming back every year and

917
00:45:48,160 --> 00:45:50,680
Speaker 1: do some fall planted cereal grains and brass tickets for

918
00:45:50,719 --> 00:45:52,720
Speaker 1: the fall time, so you've got a year round program

919
00:45:52,719 --> 00:45:56,640
Speaker 1: going on. And typically it's not an issue in the Midwest.

920
00:45:56,680 --> 00:45:59,319
Speaker 1: But if if water is a lacking ingredient, then maybe

921
00:45:59,360 --> 00:46:01,880
Speaker 1: you can create water hole or even some of the

922
00:46:01,920 --> 00:46:05,799
Speaker 1: new systems like the banks water watering tanks that you

923
00:46:05,800 --> 00:46:07,640
Speaker 1: can set up that are mobile and fill up and

924
00:46:07,760 --> 00:46:10,040
Speaker 1: provide water sources for your deer so that they don't

925
00:46:10,040 --> 00:46:13,399
Speaker 1: have to leave the property to water. Again, that's fairly rare,

926
00:46:13,440 --> 00:46:17,080
Speaker 1: but that could be a consideration. If you'd like to

927
00:46:17,160 --> 00:46:19,680
Speaker 1: learn more and to see the properties that Tom currently

928
00:46:19,719 --> 00:46:25,000
Speaker 1: has listed for sale, visit whitetail properties dot com. Backslash James,

929
00:46:25,440 --> 00:46:30,279
Speaker 1: that's j A. M E. S alright and joining us

930
00:46:30,320 --> 00:46:32,640
Speaker 1: on the line. Next out of New York is Matt

931
00:46:32,719 --> 00:46:36,359
Speaker 1: Ross with q dm A. Now, Matt, how is your

932
00:46:36,360 --> 00:46:40,480
Speaker 1: season gone thus far in New York? I had a

933
00:46:40,520 --> 00:46:45,200
Speaker 1: great season. Our season typically opens uh as most do,

934
00:46:45,320 --> 00:46:47,759
Speaker 1: in early October, and it closes about the third week

935
00:46:47,800 --> 00:46:50,520
Speaker 1: in December. And I got out of fair amount this year,

936
00:46:51,040 --> 00:46:53,440
Speaker 1: more so than in two thousand and sixteen, so I

937
00:46:53,800 --> 00:46:56,960
Speaker 1: call it chalk that up as a success. Um. How

938
00:46:57,000 --> 00:47:02,080
Speaker 1: does it deal with my bow? Pretty early on, I UM,

939
00:47:02,080 --> 00:47:05,600
Speaker 1: I killed a couple of dolls during rightful season as well.

940
00:47:06,160 --> 00:47:08,640
Speaker 1: UM pass on a lot of young bucks in New

941
00:47:08,719 --> 00:47:12,400
Speaker 1: York States, UH, one of those states that is still

942
00:47:12,440 --> 00:47:15,040
Speaker 1: has pretty high proportions of young bucks and the harvest

943
00:47:15,120 --> 00:47:17,600
Speaker 1: and UM trying to be to do my part and

944
00:47:17,600 --> 00:47:19,920
Speaker 1: pass up some of those young bucks and trying to

945
00:47:19,920 --> 00:47:22,880
Speaker 1: student the older class age class year and ended up

946
00:47:22,880 --> 00:47:25,960
Speaker 1: without a uh an empty buck tag. So I did

947
00:47:26,000 --> 00:47:27,640
Speaker 1: not take a buck this year, but I still had

948
00:47:27,640 --> 00:47:31,520
Speaker 1: a very good season regardless. Well, Matt, what are some

949
00:47:31,640 --> 00:47:35,920
Speaker 1: of your big takeaways from as far as what are

950
00:47:35,960 --> 00:47:38,480
Speaker 1: some of the big themes that you noticed, whether related

951
00:47:38,560 --> 00:47:44,279
Speaker 1: or crops related, or food sources related or otherwise. I'll

952
00:47:44,280 --> 00:47:46,680
Speaker 1: tell you, at least where I haunt in the eastern

953
00:47:46,680 --> 00:47:49,600
Speaker 1: part of the state, prop related, there was there was

954
00:47:49,640 --> 00:47:53,239
Speaker 1: a lot of corn standing late in the year this year.

955
00:47:53,239 --> 00:47:57,160
Speaker 1: I think part of the the process with farming in

956
00:47:57,200 --> 00:48:00,200
Speaker 1: this part of the country. There's a lot of dairy farms, um,

957
00:48:00,239 --> 00:48:04,800
Speaker 1: and it really slowed things down going into the into

958
00:48:04,840 --> 00:48:07,319
Speaker 1: the mid part of the season. Obviously, with all that

959
00:48:07,400 --> 00:48:11,360
Speaker 1: standing corn, the deer still the visibility of them uh

960
00:48:11,600 --> 00:48:15,160
Speaker 1: a little bit limited. Um. It certainly helped to a degree,

961
00:48:15,239 --> 00:48:18,560
Speaker 1: but with some properties that that may have been set

962
00:48:18,600 --> 00:48:22,560
Speaker 1: up that way. So crop wise, I saw corn standing

963
00:48:22,560 --> 00:48:24,879
Speaker 1: a lot longer than it had in the past. Weather

964
00:48:24,920 --> 00:48:27,880
Speaker 1: it was pretty standard as in other years. I mean,

965
00:48:27,880 --> 00:48:31,279
Speaker 1: there was no major events that threw things off. I'll

966
00:48:31,280 --> 00:48:33,799
Speaker 1: tell you. Rut wise, though, the thing that I did

967
00:48:33,880 --> 00:48:38,200
Speaker 1: notice was we did have a pretty good rot during

968
00:48:38,239 --> 00:48:41,479
Speaker 1: the archery season in the southern part of New York.

969
00:48:42,040 --> 00:48:44,240
Speaker 1: UM there was a good activity, There was good chasing,

970
00:48:44,239 --> 00:48:48,160
Speaker 1: a lot of daylight activity, and it seemed to trickle

971
00:48:48,239 --> 00:48:51,920
Speaker 1: off and slow down right before our firearms season opened.

972
00:48:51,960 --> 00:48:55,080
Speaker 1: So um, in terms of saving some of those young deer,

973
00:48:55,120 --> 00:48:59,120
Speaker 1: it was a good thing. It probably changed the dynamic

974
00:48:59,200 --> 00:49:02,440
Speaker 1: in terms of what it were shot. But um, overall

975
00:49:02,440 --> 00:49:04,960
Speaker 1: it was a good season. Nothing really out of the

976
00:49:05,040 --> 00:49:08,280
Speaker 1: norm though for what I have experienced in the past.

977
00:49:09,320 --> 00:49:11,880
Speaker 1: You touched on some of the food sources in Western

978
00:49:11,880 --> 00:49:14,359
Speaker 1: New York with the cornfields. How about some of those

979
00:49:14,440 --> 00:49:18,000
Speaker 1: natural food sources, the acorns, the apples, just generally in

980
00:49:18,000 --> 00:49:23,160
Speaker 1: the Northeast this season we are soft mass production. This

981
00:49:23,239 --> 00:49:25,479
Speaker 1: year seemed like it was at a at a higher

982
00:49:25,560 --> 00:49:30,799
Speaker 1: level from what I personally experienced and saw, especially apples, um,

983
00:49:30,840 --> 00:49:32,839
Speaker 1: and from talking to other people, I think we had

984
00:49:32,880 --> 00:49:36,440
Speaker 1: one of those years with the flowering and everything kind

985
00:49:36,480 --> 00:49:38,880
Speaker 1: of working in favor and having a lot of apples

986
00:49:38,880 --> 00:49:43,120
Speaker 1: on trees. Um. I think it was like three years ago. Um,

987
00:49:43,160 --> 00:49:47,920
Speaker 1: we had a really crazy apple year. So in that sense,

988
00:49:47,960 --> 00:49:51,920
Speaker 1: it seemed up acorns were spotty though in beach nuts

989
00:49:52,360 --> 00:49:57,040
Speaker 1: hadn't heard any major regions, at least throughout the New England,

990
00:49:57,320 --> 00:49:59,680
Speaker 1: New York area where there was just a lot of

991
00:49:59,719 --> 00:50:02,919
Speaker 1: acre worms on the ground. Um. That certainly can throw

992
00:50:03,120 --> 00:50:05,840
Speaker 1: a wrench in your plans when it does happen. Spotty

993
00:50:05,880 --> 00:50:09,880
Speaker 1: can be good, especially first setting up strategy finding trees

994
00:50:09,920 --> 00:50:12,600
Speaker 1: that are good producers and have a lot of acorns

995
00:50:12,640 --> 00:50:17,680
Speaker 1: under them. And uh, I personally did not capitalize on that.

996
00:50:17,719 --> 00:50:20,120
Speaker 1: But I have a friend that really did capitalize and

997
00:50:20,120 --> 00:50:23,600
Speaker 1: shot a couple of good deer based on acorn production

998
00:50:23,680 --> 00:50:26,839
Speaker 1: on some trees. So, um, it was spotty this year

999
00:50:26,840 --> 00:50:29,480
Speaker 1: in the Northeast as far as I could see. Well,

1000
00:50:29,520 --> 00:50:32,640
Speaker 1: that is there any big takeaway that you had from seen,

1001
00:50:32,960 --> 00:50:35,040
Speaker 1: maybe a lesson that you've learned that you'd apply going

1002
00:50:35,160 --> 00:50:41,400
Speaker 1: forward into seasons Beyond that, I enjoyed my two thousand

1003
00:50:41,480 --> 00:50:45,200
Speaker 1: seventeen season, uh greatly. Actually, I tried to take a

1004
00:50:45,200 --> 00:50:49,640
Speaker 1: little bit different perspective this year, enjoyed my time outside

1005
00:50:49,680 --> 00:50:52,520
Speaker 1: and not get too serious about it. Um. I get

1006
00:50:52,719 --> 00:50:54,759
Speaker 1: I have found myself in the past, especially in the

1007
00:50:54,840 --> 00:50:57,400
Speaker 1: role I play with q m A, to get, you know,

1008
00:50:57,520 --> 00:51:01,840
Speaker 1: really intense about hunting. And I tried to enjoy my

1009
00:51:01,920 --> 00:51:03,920
Speaker 1: time of field this year in a little bit different

1010
00:51:03,920 --> 00:51:06,279
Speaker 1: mindset and going out there and just enjoying being in

1011
00:51:06,320 --> 00:51:08,520
Speaker 1: the tree, and that could also come with age, um

1012
00:51:08,640 --> 00:51:10,719
Speaker 1: as I get older. I kind of enjoyed that as well.

1013
00:51:11,520 --> 00:51:14,640
Speaker 1: One thing I did do this year was I have

1014
00:51:14,800 --> 00:51:18,800
Speaker 1: a close friend that's a forrester as well as myself,

1015
00:51:18,880 --> 00:51:21,920
Speaker 1: and he's been asking and enquiring about hunting for a

1016
00:51:21,920 --> 00:51:24,000
Speaker 1: couple of years and I really need time to take

1017
00:51:24,080 --> 00:51:26,319
Speaker 1: him out this year and getting his first year and

1018
00:51:26,440 --> 00:51:29,000
Speaker 1: that made my season. And I know it's cliche to

1019
00:51:29,040 --> 00:51:31,960
Speaker 1: say it, but for the listeners out there, if you've

1020
00:51:32,000 --> 00:51:38,480
Speaker 1: ever had a coworker or relative or um spouses relative,

1021
00:51:38,680 --> 00:51:42,520
Speaker 1: or somebody that is in your periphery that has shown interest,

1022
00:51:43,000 --> 00:51:45,280
Speaker 1: make sure you take some time out for them, because

1023
00:51:45,320 --> 00:51:48,600
Speaker 1: it really was an amazing experience getting my friend his

1024
00:51:48,680 --> 00:51:51,280
Speaker 1: first year, and I really look forward to next season

1025
00:51:51,320 --> 00:51:53,160
Speaker 1: doing the same thing. I'm going to try to make

1026
00:51:53,160 --> 00:51:56,040
Speaker 1: that a tradition for myself is to introduce somebody new

1027
00:51:56,040 --> 00:51:58,919
Speaker 1: every year. Yeah. I think that sounds like a great

1028
00:51:58,960 --> 00:52:00,960
Speaker 1: thing to work on, not to for for you, but

1029
00:52:01,080 --> 00:52:03,400
Speaker 1: for all hunters. So thanks for joining me, Matt, and

1030
00:52:03,440 --> 00:52:09,280
Speaker 1: good luck in Thanks Spencer, thanks for having me alright

1031
00:52:09,280 --> 00:52:11,719
Speaker 1: and joining us on the line. Next out of Minnesota

1032
00:52:12,040 --> 00:52:15,640
Speaker 1: is Tony Peterson with bow Hunter Magazine. Now, Tony, I

1033
00:52:15,640 --> 00:52:17,960
Speaker 1: know you've been all over the Midwest and the Great

1034
00:52:17,960 --> 00:52:21,680
Speaker 1: Plains this year, and how is your season gone thus far? Man,

1035
00:52:21,800 --> 00:52:25,960
Speaker 1: I had a good season. Um, pretty good. I should say.

1036
00:52:25,960 --> 00:52:28,640
Speaker 1: I killed four bucks in a couple of dos all

1037
00:52:28,719 --> 00:52:31,719
Speaker 1: bow hunting this year. UM, most of them were on

1038
00:52:31,800 --> 00:52:33,840
Speaker 1: public land. You know. My only hiccup this year was

1039
00:52:33,840 --> 00:52:37,680
Speaker 1: Wisconsin was just absolutely kicked my butt. But otherwise, UM,

1040
00:52:37,719 --> 00:52:40,759
Speaker 1: just had a really solid season. What Tony, did you

1041
00:52:40,800 --> 00:52:43,719
Speaker 1: notice anything on the public land this year that was

1042
00:52:43,760 --> 00:52:46,239
Speaker 1: different than maybe most years or something stuck out to

1043
00:52:46,239 --> 00:52:50,600
Speaker 1: you in UM? I would say what I noticed this

1044
00:52:50,680 --> 00:52:53,279
Speaker 1: year was a few more people. Um, I don't. I

1045
00:52:53,320 --> 00:52:55,480
Speaker 1: don't think our hunter numbers are going through the roof

1046
00:52:55,560 --> 00:52:57,080
Speaker 1: or anything like that, So I think it just must

1047
00:52:57,120 --> 00:53:00,160
Speaker 1: be more people either hunting public land or taking these trips,

1048
00:53:00,200 --> 00:53:03,200
Speaker 1: you know, similar kind of trips that I take. But

1049
00:53:03,280 --> 00:53:05,600
Speaker 1: I definitely had some company this year, and it felt

1050
00:53:05,640 --> 00:53:09,360
Speaker 1: like more company than usual. How about your rud hunting?

1051
00:53:09,800 --> 00:53:12,279
Speaker 1: Was anything unique there as far as the activity that

1052
00:53:12,360 --> 00:53:16,680
Speaker 1: you saw or the weather you experienced? Um, the weather

1053
00:53:16,719 --> 00:53:19,040
Speaker 1: that I experienced during the rut, I I spent about

1054
00:53:19,120 --> 00:53:23,560
Speaker 1: nine days hunting, Uh, northern Wisconsin, mostly on public land,

1055
00:53:24,000 --> 00:53:28,000
Speaker 1: and the weather was really cold, and the activity was

1056
00:53:28,200 --> 00:53:30,839
Speaker 1: guys on four wheelers going out to set their bait

1057
00:53:30,920 --> 00:53:33,919
Speaker 1: sites up from what I could tell, Um, so it

1058
00:53:33,960 --> 00:53:38,080
Speaker 1: was just difficult. Um, it was not. I did see

1059
00:53:38,120 --> 00:53:41,120
Speaker 1: some chasing, some activity. I saw a few really good

1060
00:53:41,160 --> 00:53:45,240
Speaker 1: box um, just randomly, but nothing that ever just felt

1061
00:53:45,239 --> 00:53:47,200
Speaker 1: like it was clicking, like it showed during the rut.

1062
00:53:47,960 --> 00:53:52,200
Speaker 1: How about the weather from the season, either early season

1063
00:53:52,400 --> 00:53:56,600
Speaker 1: or you know up until now late season. Um. You know,

1064
00:53:56,680 --> 00:54:00,319
Speaker 1: our late season here has been stupid cold that you know,

1065
00:54:00,360 --> 00:54:02,440
Speaker 1: almost painful to go outside. I've been out trying to

1066
00:54:02,440 --> 00:54:05,759
Speaker 1: shoot a dough here in Minnesota and um, it's really

1067
00:54:05,800 --> 00:54:09,160
Speaker 1: not that much fun. Um. You know, early season, you know,

1068
00:54:09,200 --> 00:54:12,560
Speaker 1: you get your weather swings. And the worst weather I

1069
00:54:12,600 --> 00:54:14,839
Speaker 1: probably had was in South Dakota and your home state

1070
00:54:14,920 --> 00:54:17,920
Speaker 1: when I camped in the downpour and hunted in the

1071
00:54:17,960 --> 00:54:21,280
Speaker 1: downpour for three or four days. Um, that was probably

1072
00:54:21,320 --> 00:54:25,320
Speaker 1: the worst weather I had. We you've covered some diverse

1073
00:54:25,400 --> 00:54:30,160
Speaker 1: areas this year, from Wisconsin to to South Dakota and stuff.

1074
00:54:30,160 --> 00:54:34,600
Speaker 1: What have you noticed with different food sources this fall? Um?

1075
00:54:34,840 --> 00:54:36,160
Speaker 1: You know, I felt like there was quite a bit

1076
00:54:36,160 --> 00:54:38,680
Speaker 1: of food out there here in Minnesota. And you know,

1077
00:54:38,680 --> 00:54:41,080
Speaker 1: I had a different a few different properties throughout the

1078
00:54:41,120 --> 00:54:45,279
Speaker 1: state and um, some places I hunted, especially southeastern Minnesota,

1079
00:54:46,400 --> 00:54:48,440
Speaker 1: I was around quite a few acorns, you know, the

1080
00:54:48,440 --> 00:54:52,280
Speaker 1: acorn crop. The hard mass seemed pretty solid. Up here

1081
00:54:52,320 --> 00:54:54,160
Speaker 1: where I lived just north of the Twin Cities, it

1082
00:54:54,200 --> 00:54:56,440
Speaker 1: wasn't nearly as good. Um. You know, we had a

1083
00:54:56,520 --> 00:54:58,799
Speaker 1: late corn harvest in a lot of places that that

1084
00:54:58,880 --> 00:55:01,080
Speaker 1: affected some things, for sure. I think it affected the

1085
00:55:01,080 --> 00:55:03,080
Speaker 1: gun hunters more than anything. But you know, it was

1086
00:55:03,120 --> 00:55:06,640
Speaker 1: definitely a factor. Um. But you know, it's the stuff

1087
00:55:06,680 --> 00:55:10,719
Speaker 1: that you deal with every year in one capacity or another. Well,

1088
00:55:10,760 --> 00:55:12,799
Speaker 1: spending a lot of time in the Dakotas, I know

1089
00:55:12,880 --> 00:55:14,800
Speaker 1: you were in some areas that were ravished by h

1090
00:55:15,000 --> 00:55:17,440
Speaker 1: D in the last five or six years. What have

1091
00:55:17,480 --> 00:55:20,360
Speaker 1: you seen for deer numbers this year as opposed to

1092
00:55:20,360 --> 00:55:26,359
Speaker 1: maybe twenty um, you know, South Dakota. I hunted South

1093
00:55:26,400 --> 00:55:30,360
Speaker 1: Dakota and North Dakota on public land in in spots

1094
00:55:30,400 --> 00:55:33,800
Speaker 1: that had been hit by h D, and I still

1095
00:55:33,840 --> 00:55:36,839
Speaker 1: thought the numbers were pretty solid. Um. I don't think

1096
00:55:36,840 --> 00:55:39,040
Speaker 1: there's as many deer where I hunt in South Dakota

1097
00:55:39,080 --> 00:55:42,000
Speaker 1: as there was maybe five or six years ago, but

1098
00:55:42,120 --> 00:55:45,399
Speaker 1: the population is still pretty good. And where I went

1099
00:55:45,520 --> 00:55:48,839
Speaker 1: North Dakota, they've been hit by h D randomly, you know,

1100
00:55:49,160 --> 00:55:51,600
Speaker 1: a few times over the last decade. And I saw

1101
00:55:51,640 --> 00:55:54,200
Speaker 1: an awful lot of white tails and quite a few

1102
00:55:54,200 --> 00:55:57,080
Speaker 1: meal deer, and um, you know, the river bottom where

1103
00:55:57,080 --> 00:55:59,879
Speaker 1: those white tails lived didn't seem to be affected too much.

1104
00:56:00,960 --> 00:56:03,239
Speaker 1: What Tony, You're one of the best white tail bowl

1105
00:56:03,320 --> 00:56:06,799
Speaker 1: hunters that I know, and I imagine having that kind

1106
00:56:06,800 --> 00:56:09,759
Speaker 1: of title that you're learning new things every year, is

1107
00:56:09,800 --> 00:56:12,400
Speaker 1: there's something in seen that you picked up that you

1108
00:56:12,400 --> 00:56:15,240
Speaker 1: think maybe you can apply to ten or other seasons

1109
00:56:15,280 --> 00:56:19,360
Speaker 1: going forward. Man, I don't know if that title applies

1110
00:56:19,440 --> 00:56:21,200
Speaker 1: or not. If you just saw me in Wisconsin, I'm

1111
00:56:21,200 --> 00:56:24,760
Speaker 1: not so sure. But one thing I will say about

1112
00:56:24,840 --> 00:56:28,800
Speaker 1: this year, and I've talked about this quite a bit, uh,

1113
00:56:28,960 --> 00:56:31,920
Speaker 1: is man, I'm I'm to the point now where I

1114
00:56:31,920 --> 00:56:34,040
Speaker 1: want to I want to scout fresh sign and hang

1115
00:56:34,080 --> 00:56:37,440
Speaker 1: a news stand every chance I can. And I'm just

1116
00:56:37,600 --> 00:56:40,319
Speaker 1: I'm just going that kind of old school route where

1117
00:56:40,320 --> 00:56:42,960
Speaker 1: you find a rub line hanging stand. If it doesn't

1118
00:56:42,960 --> 00:56:46,640
Speaker 1: shake out, you move it, and that that lesson is

1119
00:56:46,640 --> 00:56:48,880
Speaker 1: coming back to me hard over the last few years.

1120
00:56:50,280 --> 00:56:53,160
Speaker 1: Well it's Tony. Good luck in and congrats some o

1121
00:56:53,200 --> 00:56:57,600
Speaker 1: your successes in seventeen. Thanks for joining me often. Thanks man.

1122
00:56:58,880 --> 00:57:02,280
Speaker 1: And that concludes this week's episode and this season's final

1123
00:57:02,320 --> 00:57:06,120
Speaker 1: episode of Wired Haunt's Rut Radio. I want to thank

1124
00:57:06,120 --> 00:57:11,239
Speaker 1: our sponsors at SITKA, Matthews, Trophy Ridge, Yettie, Whitehail Institute,

1125
00:57:11,520 --> 00:57:15,719
Speaker 1: Whitehail Properties, unt Terra, and Maven, and we thank you

1126
00:57:15,719 --> 00:57:18,800
Speaker 1: guys for listening. I also want to thank everyone who

1127
00:57:18,840 --> 00:57:22,960
Speaker 1: contributed to this year's episodes, all fifty seven of you

1128
00:57:23,280 --> 00:57:27,960
Speaker 1: who provided reports from New Hampshire to Louisiana up to

1129
00:57:28,000 --> 00:57:32,200
Speaker 1: North Dakota. You guys have made this podcast possible, so

1130
00:57:32,200 --> 00:57:35,000
Speaker 1: good luck to everybody. Is we transition into shed hunting

1131
00:57:35,080 --> 00:57:38,280
Speaker 1: and turkey hunting and summer scouting and everything else until

1132
00:57:38,320 --> 00:57:41,280
Speaker 1: I talk to you guys again next September. Until then,

1133
00:57:41,480 --> 00:57:42,920
Speaker 1: if you want to follow along with some of my

1134
00:57:42,960 --> 00:57:46,120
Speaker 1: other work, you can check me out on Instagram at

1135
00:57:46,200 --> 00:57:48,439
Speaker 1: Spencer new Hearth, where you can see my website where

1136
00:57:48,440 --> 00:57:52,439
Speaker 1: most of my writing and photography lives roof Communications dot Com.

1137
00:57:52,600 --> 00:57:55,360
Speaker 1: I'll talk to you guys again in season three or

1138
00:57:55,480 --> 00:58:00,080
Speaker 1: rut radio, But until then stay wired to hunt, but

1139
00:58:00,840 --> 00:58:01,840
Speaker 1: to dot. Beca