WEBVTT - Brandie Smith

0:00:03.240 --> 0:00:05.640
<v Speaker 1>There's a great deal of excitement in Washington these days,

0:00:05.640 --> 0:00:08.400
<v Speaker 1>but perhaps the greatest excitement is the arrival of two

0:00:08.440 --> 0:00:11.639
<v Speaker 1>pandas from China. I had a chance recently to sit

0:00:11.680 --> 0:00:15.120
<v Speaker 1>down with Brandy Smith, who oversees the National Zoo and

0:00:15.160 --> 0:00:17.880
<v Speaker 1>oversees the panda program as well, to talk to her

0:00:17.920 --> 0:00:21.480
<v Speaker 1>about the pandas. Now we're in the Panda house because

0:00:21.600 --> 0:00:24.640
<v Speaker 1>pandas have returned to the National Zoo. Why are pandas

0:00:24.640 --> 0:00:27.000
<v Speaker 1>so popular? I think I read that about eighty percent

0:00:27.000 --> 0:00:28.680
<v Speaker 1>of the people that come to the National Zoo come

0:00:28.760 --> 0:00:30.880
<v Speaker 1>because they want to see the pandas. I mean, they're

0:00:30.960 --> 0:00:32.720
<v Speaker 1>nice animals, but why are they that popular?

0:00:33.080 --> 0:00:34.640
<v Speaker 2>I think there are a lot of reasons. I think,

0:00:34.680 --> 0:00:37.440
<v Speaker 2>first of all, they're cute. They're adorable. People just want

0:00:37.440 --> 0:00:40.280
<v Speaker 2>to see them. And the thing I love about pandas

0:00:40.400 --> 0:00:43.559
<v Speaker 2>is the way that they're built. It actually, we are

0:00:43.680 --> 0:00:47.959
<v Speaker 2>genetically designed to love pandas. They have these round features,

0:00:48.000 --> 0:00:51.520
<v Speaker 2>the round ears, the round eyes, these cute voices, and

0:00:51.800 --> 0:00:54.880
<v Speaker 2>what we ping when we see a baby is the

0:00:54.920 --> 0:00:58.120
<v Speaker 2>same thing that pings when we see a panda, and

0:00:58.200 --> 0:01:02.760
<v Speaker 2>so we're designed to think they're adorable. But they're also

0:01:02.840 --> 0:01:05.600
<v Speaker 2>they're rare so I think it's a matter of having

0:01:05.640 --> 0:01:08.280
<v Speaker 2>the opportunity to see them. You take the opportunity when

0:01:08.280 --> 0:01:11.880
<v Speaker 2>you can. And you know, pandas are a story of joy.

0:01:11.959 --> 0:01:15.119
<v Speaker 2>They're a story of hope and of happiness and success,

0:01:14.680 --> 0:01:17.400
<v Speaker 2>a successful program that everyone is a part of.

0:01:17.680 --> 0:01:19.200
<v Speaker 1>When did you get the new pandas?

0:01:19.760 --> 0:01:22.840
<v Speaker 2>So these pandas came in October of twenty four, so

0:01:23.000 --> 0:01:23.760
<v Speaker 2>just a few months ago.

0:01:24.600 --> 0:01:25.759
<v Speaker 1>And how old are they.

0:01:26.160 --> 0:01:28.640
<v Speaker 2>They're both three years old. The pandas are here not

0:01:28.760 --> 0:01:31.600
<v Speaker 2>just because they're adorable, but they're actually part of a

0:01:31.640 --> 0:01:35.960
<v Speaker 2>breeding program that's helping to save the species. And so

0:01:36.959 --> 0:01:40.560
<v Speaker 2>we wanted to get the most genetically valuable animals, and

0:01:40.800 --> 0:01:43.280
<v Speaker 2>we narrowed it down to a few pairs. But I

0:01:43.319 --> 0:01:46.200
<v Speaker 2>will say we sent a veterinarian to China just to

0:01:46.280 --> 0:01:48.600
<v Speaker 2>check the records of the different animals, and we did

0:01:48.640 --> 0:01:50.040
<v Speaker 2>ask them to pick the cutest pair.

0:01:50.800 --> 0:01:53.840
<v Speaker 1>As I recall when Richard Nixon went to China when

0:01:53.840 --> 0:01:56.440
<v Speaker 1>the famous trip in the early nineteen seventies as a gift,

0:01:57.320 --> 0:01:59.880
<v Speaker 1>Malzi Tung said, here are to pandas, and they came

0:02:00.040 --> 0:02:01.720
<v Speaker 1>to the National Zoo, and at that time, I think

0:02:01.880 --> 0:02:04.639
<v Speaker 1>they were the only pandas in the United States they were.

0:02:04.520 --> 0:02:07.480
<v Speaker 2>At that time. That was really the start of the

0:02:07.600 --> 0:02:10.400
<v Speaker 2>giant panda conservation program as we know it.

0:02:10.880 --> 0:02:14.480
<v Speaker 1>They were gifts to the country. And subsequent to that, China,

0:02:14.520 --> 0:02:17.720
<v Speaker 1>as I understand it, began a program of lending pandas

0:02:18.040 --> 0:02:20.400
<v Speaker 1>or renting pandas to zoos around the world. And I

0:02:20.440 --> 0:02:22.520
<v Speaker 1>thought I read that there were like twenty seven zoos

0:02:22.560 --> 0:02:24.680
<v Speaker 1>or something like that around the world that have pandas.

0:02:24.760 --> 0:02:25.560
<v Speaker 1>Is that how it works.

0:02:26.040 --> 0:02:28.200
<v Speaker 2>We received the first pandas they were a state gift,

0:02:28.960 --> 0:02:30.960
<v Speaker 2>and then there was the loan program that was to

0:02:31.040 --> 0:02:33.280
<v Speaker 2>other zoos, and as part of that program, there's a

0:02:33.320 --> 0:02:37.000
<v Speaker 2>conservation fee that zoos pay to China to the panda

0:02:37.040 --> 0:02:39.920
<v Speaker 2>breeding centers in China, and the pandas that we have

0:02:40.120 --> 0:02:41.720
<v Speaker 2>now are part of that breeding program.

0:02:41.919 --> 0:02:43.960
<v Speaker 1>Was it easy to get the pandas to come back

0:02:44.080 --> 0:02:46.800
<v Speaker 1>to Washington, d C. Did the Chinese say, we have

0:02:46.919 --> 0:02:48.560
<v Speaker 1>some extra pandas, we don't know what to do with them,

0:02:48.560 --> 0:02:49.480
<v Speaker 1>we're going to give them to you.

0:02:50.600 --> 0:02:52.560
<v Speaker 2>Well, it was a little more difficult than that. It

0:02:52.600 --> 0:02:54.480
<v Speaker 2>probably took us. It was about over the course of

0:02:54.520 --> 0:02:57.760
<v Speaker 2>a year where we had conversations with our colleagues in

0:02:57.880 --> 0:03:01.400
<v Speaker 2>China and we were able to get pandas here very quickly.

0:03:01.440 --> 0:03:03.760
<v Speaker 2>I think it's a testament to the relationship we've built

0:03:03.800 --> 0:03:09.160
<v Speaker 2>over decades, to the conservation success that we've had here

0:03:09.280 --> 0:03:13.000
<v Speaker 2>with our pandas and our panda program. And so it

0:03:13.040 --> 0:03:14.919
<v Speaker 2>was a lot of conversations, but I think we always

0:03:15.000 --> 0:03:18.840
<v Speaker 2>knew in the end that we did want pandas at

0:03:18.840 --> 0:03:19.640
<v Speaker 2>the National Zoo.

0:03:20.120 --> 0:03:21.920
<v Speaker 1>How big is the National Zoo? How many acres do

0:03:21.960 --> 0:03:22.440
<v Speaker 1>you have here?

0:03:22.680 --> 0:03:24.880
<v Speaker 2>So we have two facilities. We have the zoo, which

0:03:24.919 --> 0:03:27.280
<v Speaker 2>is in Washington, d c. It's one hundred and seventy

0:03:27.360 --> 0:03:30.240
<v Speaker 2>five acres in Rock Creek Park. And then we also

0:03:30.280 --> 0:03:33.679
<v Speaker 2>have a facility called our Conservation Biology Institute, and that's

0:03:33.760 --> 0:03:36.440
<v Speaker 2>thirty two hundred acres and it's in front Royal, Virginia.

0:03:36.800 --> 0:03:39.160
<v Speaker 1>Now, when I was a little boy growing up in Baltimore,

0:03:39.320 --> 0:03:41.560
<v Speaker 1>we had a zoo there and that still exists. But

0:03:41.800 --> 0:03:43.960
<v Speaker 1>the animals always seem to be in big cages. They

0:03:43.960 --> 0:03:45.920
<v Speaker 1>didn't seem to be able to roam around that much. Now,

0:03:46.120 --> 0:03:48.800
<v Speaker 1>my understanding is that people that are in charge of

0:03:48.880 --> 0:03:51.960
<v Speaker 1>zoos let animals have more freedom and more space than

0:03:51.960 --> 0:03:54.400
<v Speaker 1>they used to. But what about the argument that some

0:03:54.440 --> 0:03:56.640
<v Speaker 1>people say it's not nice to have zoos at all,

0:03:57.040 --> 0:03:59.160
<v Speaker 1>because let the animals stay in the wild. Wat should

0:03:59.160 --> 0:04:01.320
<v Speaker 1>we have people like me gawking at them all the time.

0:04:01.400 --> 0:04:02.440
<v Speaker 1>How do you respond to that?

0:04:02.880 --> 0:04:05.440
<v Speaker 2>I love that question because it's asked by people who

0:04:05.480 --> 0:04:09.280
<v Speaker 2>care deeply about animals. And so I'll answer in two parts,

0:04:09.280 --> 0:04:12.480
<v Speaker 2>And one is the emotional part about about animals and zoos.

0:04:13.000 --> 0:04:15.000
<v Speaker 2>And I always, you know, I think about people who

0:04:15.040 --> 0:04:18.080
<v Speaker 2>have pets. Right, people get pets. The most of them

0:04:18.120 --> 0:04:20.960
<v Speaker 2>aren't trained to care for them. They don't know that much.

0:04:21.200 --> 0:04:22.800
<v Speaker 2>They bring them to their house, they have them in

0:04:22.839 --> 0:04:25.400
<v Speaker 2>their apartment, you know, go for walks every so often.

0:04:26.520 --> 0:04:29.160
<v Speaker 2>But they know those animals are cared for. They know

0:04:29.240 --> 0:04:32.080
<v Speaker 2>that those animals are happy. They know that they love them,

0:04:32.240 --> 0:04:36.920
<v Speaker 2>and they're loved back. Now imagine that, except imagine that

0:04:37.120 --> 0:04:41.480
<v Speaker 2>you have experts, hundreds of experts who are trained in

0:04:41.520 --> 0:04:44.240
<v Speaker 2>the care of animals. Right, people spend their entire lives

0:04:44.279 --> 0:04:47.440
<v Speaker 2>caring for these animals with the best nutrition, the best

0:04:47.560 --> 0:04:53.440
<v Speaker 2>veterinary medicine, you know, habitats, they're scientifically designed to meet

0:04:53.480 --> 0:04:58.000
<v Speaker 2>their behavioral biological needs. And that's animals and zoos. We

0:04:58.200 --> 0:05:00.839
<v Speaker 2>know they're happy, We love them. And we know their

0:05:00.880 --> 0:05:01.479
<v Speaker 2>loved pack.

0:05:01.839 --> 0:05:04.280
<v Speaker 1>So what is other than pandas. Who are the biggest

0:05:04.320 --> 0:05:07.880
<v Speaker 1>attraction or what are the biggest attraction at the National Zoo?

0:05:07.960 --> 0:05:11.159
<v Speaker 2>You know people, we call them the charismatic megafauna. People

0:05:11.240 --> 0:05:15.440
<v Speaker 2>love the big animals, the pandas, elephants, lions, tigers, cheetahs.

0:05:16.279 --> 0:05:18.720
<v Speaker 2>But one fact that I think is really funny, the

0:05:18.720 --> 0:05:23.240
<v Speaker 2>most searched animal on our website are snakes, and so

0:05:23.520 --> 0:05:25.560
<v Speaker 2>I don't know if people are searching them because they

0:05:25.560 --> 0:05:27.680
<v Speaker 2>want to see them or if they're searching them because

0:05:27.720 --> 0:05:28.760
<v Speaker 2>they're afraid to see them.

0:05:29.240 --> 0:05:31.920
<v Speaker 1>Let's go back and talk about the pandas because they're

0:05:31.920 --> 0:05:34.279
<v Speaker 1>so popular and obviously you get a lot of visitors

0:05:34.279 --> 0:05:38.159
<v Speaker 1>because of that. So where do pandas come from? Why

0:05:38.279 --> 0:05:40.200
<v Speaker 1>is it only in one place, as I understand it,

0:05:40.200 --> 0:05:42.880
<v Speaker 1>where pandas are. You've got two hundred countries in the world,

0:05:42.960 --> 0:05:44.600
<v Speaker 1>Why only one country has pandas.

0:05:45.200 --> 0:05:48.240
<v Speaker 2>So that's just the area they are indigenous to, kind

0:05:48.279 --> 0:05:51.440
<v Speaker 2>of the cool mountain forests in China, So that's the

0:05:51.520 --> 0:05:55.720
<v Speaker 2>habitat that sustains them the best. And pandas Actually they're

0:05:55.800 --> 0:05:59.200
<v Speaker 2>obligate bamboo eaters. If they don't eat bamboo they'll get sick.

0:05:59.279 --> 0:06:02.760
<v Speaker 2>So they're very heavily dependent upon having the appropriate habitat.

0:06:03.000 --> 0:06:06.600
<v Speaker 1>Now, originally pandas, which were maybe a couple million years old,

0:06:06.720 --> 0:06:10.080
<v Speaker 1>we think they used to have a meat diet, as

0:06:10.080 --> 0:06:13.159
<v Speaker 1>I understand they were carnivores, but then maybe five hundred

0:06:13.200 --> 0:06:16.360
<v Speaker 1>thousand years ago they became herbivores. So I don't know

0:06:16.400 --> 0:06:18.720
<v Speaker 1>if that's easy to deal with your stomach. But because

0:06:18.760 --> 0:06:22.760
<v Speaker 1>they only eat vegetables or non meat, do they have

0:06:22.920 --> 0:06:24.640
<v Speaker 1>enough nutrition to get through the day.

0:06:24.839 --> 0:06:27.599
<v Speaker 2>A lot of people don't realize this pandas are. They're

0:06:27.600 --> 0:06:31.200
<v Speaker 2>taxonomically their carnivores, and they are bears. They are true bears,

0:06:31.680 --> 0:06:34.400
<v Speaker 2>and they have evolved to take advantage of a more

0:06:34.400 --> 0:06:37.279
<v Speaker 2>plentiful resource. They don't have to chase down their food.

0:06:37.279 --> 0:06:39.760
<v Speaker 2>It pretty much just grows up around them as they

0:06:39.800 --> 0:06:43.520
<v Speaker 2>fit there. So they've evolved special adaptations to be able

0:06:43.560 --> 0:06:47.120
<v Speaker 2>to consume bamboo as quickly as possible. But what it

0:06:47.240 --> 0:06:51.120
<v Speaker 2>lacks in quality, they make up for in quantity. So

0:06:51.240 --> 0:06:54.080
<v Speaker 2>the pandas here at the National Zoo, we feed each

0:06:54.240 --> 0:06:57.960
<v Speaker 2>panda one hundred pounds of freshly cut bamboo every single day.

0:06:58.520 --> 0:07:01.000
<v Speaker 1>And if you eat one hundred pounds of food, which

0:07:01.040 --> 0:07:04.640
<v Speaker 1>is bamboo every day, one hundred pounds a day. Doesn't

0:07:04.640 --> 0:07:06.400
<v Speaker 1>that take a lot of energy? And does that mean

0:07:06.440 --> 0:07:08.600
<v Speaker 1>that they sleep a lot? Because they use up a

0:07:08.600 --> 0:07:09.400
<v Speaker 1>lot of energy.

0:07:09.200 --> 0:07:12.600
<v Speaker 2>Eating they do, they're digesting, so they spend their times.

0:07:12.880 --> 0:07:15.640
<v Speaker 2>I feel like a panda's life is eating, sleeping, and playing.

0:07:15.920 --> 0:07:18.400
<v Speaker 2>So I also think we love pandas because they're living

0:07:18.600 --> 0:07:21.960
<v Speaker 2>like our best lives. And so it's so fun to

0:07:22.000 --> 0:07:24.320
<v Speaker 2>watch them because sometimes you'll see a panda just, you know,

0:07:24.360 --> 0:07:27.400
<v Speaker 2>bowing through bamboo leaves and they'll actually stop for a second,

0:07:27.520 --> 0:07:29.520
<v Speaker 2>and you think it almost looks like they're taking a

0:07:29.520 --> 0:07:32.400
<v Speaker 2>little mini naps. They digest their bamboo before they just

0:07:32.480 --> 0:07:33.160
<v Speaker 2>keep eating more.

0:07:33.360 --> 0:07:35.840
<v Speaker 1>Now when they pick up the bamboo, and you grow

0:07:35.880 --> 0:07:37.960
<v Speaker 1>your own bamboo, right, you don't bring it in from China.

0:07:38.000 --> 0:07:40.360
<v Speaker 1>You grow it somewhere in the National Zoo Area.

0:07:40.840 --> 0:07:43.600
<v Speaker 2>We actually grow. So we have the facility in Virginia

0:07:43.680 --> 0:07:46.560
<v Speaker 2>thirty two hundred acres. We do a lot of our

0:07:46.560 --> 0:07:48.720
<v Speaker 2>research there. All of our labs are there for all

0:07:48.760 --> 0:07:51.160
<v Speaker 2>of the conservation and science work that we do, but

0:07:51.280 --> 0:07:53.440
<v Speaker 2>we also grow. We grow all of our own hey,

0:07:53.520 --> 0:07:56.000
<v Speaker 2>our own alfalfa, and our bamboo as well.

0:07:56.400 --> 0:08:01.600
<v Speaker 1>Now panda bear has like we have fingers, Panda bear

0:08:01.680 --> 0:08:03.840
<v Speaker 1>seems to have like a six finger help them pick

0:08:03.920 --> 0:08:06.760
<v Speaker 1>up the bamboo. Is that an evolutionary trick or something

0:08:06.760 --> 0:08:07.960
<v Speaker 1>to help them pick up bamboo.

0:08:08.080 --> 0:08:11.440
<v Speaker 2>It's not really a thumb. It's a modified wristbone that

0:08:11.560 --> 0:08:15.280
<v Speaker 2>actually almost it's a flexible wristbone that functions almost like

0:08:15.320 --> 0:08:17.240
<v Speaker 2>a thumb as they hold Think about as they hold

0:08:17.240 --> 0:08:20.120
<v Speaker 2>on to bamboo, because bamboo's circular, so if you watch them,

0:08:20.120 --> 0:08:22.440
<v Speaker 2>it looks like they're holding on and it's part of

0:08:22.440 --> 0:08:25.360
<v Speaker 2>that evolution from being instead of investing in being a

0:08:25.360 --> 0:08:28.200
<v Speaker 2>better predator right and being able to chase down their meat,

0:08:28.600 --> 0:08:32.800
<v Speaker 2>they invested evolutionarily and being the best bamboo eater you

0:08:32.800 --> 0:08:33.640
<v Speaker 2>can imagine.

0:08:33.800 --> 0:08:36.800
<v Speaker 1>Now, there's a problem that pandas have in that there's

0:08:36.800 --> 0:08:39.400
<v Speaker 1>so few of them. It was for a long time

0:08:39.480 --> 0:08:41.880
<v Speaker 1>that panders were thought to be an endangered species. Now

0:08:41.880 --> 0:08:44.760
<v Speaker 1>they're called vulnerable. But how many pandas are there in

0:08:44.760 --> 0:08:45.520
<v Speaker 1>the entire world.

0:08:45.960 --> 0:08:49.280
<v Speaker 2>So this is incredible because this is all due to

0:08:49.360 --> 0:08:52.520
<v Speaker 2>this panda program, and this is so important. So when

0:08:52.600 --> 0:08:55.920
<v Speaker 2>we started with giant pandas fifty years ago, there were

0:08:56.000 --> 0:08:58.880
<v Speaker 2>fewer than a thousand pandas in the world. Right, we're

0:08:58.880 --> 0:09:01.240
<v Speaker 2>talking in the wild and ze fewer than a thousand

0:09:02.000 --> 0:09:06.319
<v Speaker 2>and decades later, there are close to two thousand pandas

0:09:06.400 --> 0:09:08.160
<v Speaker 2>in the wild. Now, actually you think a little over

0:09:08.200 --> 0:09:12.079
<v Speaker 2>eighteen hundred. There are over seven hundred pandas in breeding centers.

0:09:12.760 --> 0:09:16.559
<v Speaker 2>So as part of this program, we have tripled the

0:09:16.640 --> 0:09:17.760
<v Speaker 2>number of pandas on the planet.

0:09:17.760 --> 0:09:19.840
<v Speaker 1>It's still a small number of pandas, it's.

0:09:19.720 --> 0:09:22.679
<v Speaker 2>A small number. But what we're also doing, and this

0:09:22.760 --> 0:09:25.000
<v Speaker 2>is what I love about the Panda program. People come here,

0:09:25.080 --> 0:09:27.600
<v Speaker 2>they see the pandas, they're cute, it's great. But when

0:09:27.600 --> 0:09:30.360
<v Speaker 2>they contribute, when they buy a stuffed panda or a

0:09:30.360 --> 0:09:34.160
<v Speaker 2>T shirt or something, they are actually funding our conservation efforts.

0:09:34.360 --> 0:09:36.920
<v Speaker 2>So not only are we breeding pandas, not only are

0:09:36.920 --> 0:09:40.240
<v Speaker 2>we learning more about giant pandas, but we're saving their

0:09:40.280 --> 0:09:43.600
<v Speaker 2>habitat in the wild. So when this started, there were

0:09:43.679 --> 0:09:49.520
<v Speaker 2>probably just ten about ten small little reserves where pandas

0:09:49.520 --> 0:09:54.120
<v Speaker 2>could live. There are panda reserves in China three times

0:09:54.160 --> 0:09:58.280
<v Speaker 2>the size of Yellowstone. So because of this program, there

0:09:58.280 --> 0:10:02.000
<v Speaker 2>are more pandas on the planet, more quality panda habitat

0:10:02.000 --> 0:10:04.520
<v Speaker 2>in the wild, and pandas have gone from being endangered

0:10:04.559 --> 0:10:05.400
<v Speaker 2>to being vulnerable.

0:10:05.880 --> 0:10:07.800
<v Speaker 1>Now. One of the problems that pandas have and the

0:10:07.840 --> 0:10:10.880
<v Speaker 1>reason they're so few, is that their ability to reproduce

0:10:11.040 --> 0:10:13.520
<v Speaker 1>is the most limited, it seems, are the most challenging

0:10:13.800 --> 0:10:16.680
<v Speaker 1>in the entire animal world. So I think the female

0:10:16.760 --> 0:10:19.320
<v Speaker 1>panda can reproduce only a short period of time, maybe

0:10:19.360 --> 0:10:21.679
<v Speaker 1>one day a year or something like that. So the

0:10:21.679 --> 0:10:23.440
<v Speaker 1>male has to show up at the right time, right,

0:10:24.040 --> 0:10:25.360
<v Speaker 1>and how does that work?

0:10:25.440 --> 0:10:29.240
<v Speaker 2>Well, it's actually really interesting. So the males. The female

0:10:29.280 --> 0:10:33.000
<v Speaker 2>has a very narrow window where she's reproductively viable, but

0:10:33.040 --> 0:10:36.240
<v Speaker 2>the males go through something called rut, so it's much longer.

0:10:36.600 --> 0:10:41.520
<v Speaker 2>So basically for months that could overlap multiple females estrus.

0:10:42.000 --> 0:10:45.720
<v Speaker 2>The males are basically they're looking for a mate, so

0:10:46.040 --> 0:10:49.960
<v Speaker 2>they are they're scent marking, they're patrolling, they're covering a

0:10:50.040 --> 0:10:53.560
<v Speaker 2>large territory. And what they're really doing is they're both

0:10:53.640 --> 0:10:56.400
<v Speaker 2>looking for a mate and they're advertising to females that

0:10:56.440 --> 0:10:59.160
<v Speaker 2>they would be a great father to their cubs.

0:11:00.080 --> 0:11:02.640
<v Speaker 1>So many VIPs I soon call you up and say

0:11:02.679 --> 0:11:05.040
<v Speaker 1>I'd like to come bring my grandchildren, my children. I

0:11:05.040 --> 0:11:07.200
<v Speaker 1>want to come myself to see pantas. You get a

0:11:07.200 --> 0:11:07.560
<v Speaker 1>lot of that.

0:11:07.960 --> 0:11:09.839
<v Speaker 2>So there are a lot of people who want to

0:11:09.840 --> 0:11:12.360
<v Speaker 2>see giant pandas. And the thing I love the most

0:11:12.440 --> 0:11:15.240
<v Speaker 2>is we are part of the Smithsonian and so everyone,

0:11:15.480 --> 0:11:18.040
<v Speaker 2>no matter how VIP you are, you can come here.

0:11:18.120 --> 0:11:19.480
<v Speaker 2>You can see giant pandas for free.

0:11:19.640 --> 0:11:21.440
<v Speaker 1>Let me ask you how one becomes the head of

0:11:21.440 --> 0:11:23.840
<v Speaker 1>the National Zoo. Let's talk about your background.

0:11:24.440 --> 0:11:28.800
<v Speaker 2>So where did you grow up in Indiana, Pennsylvania. It's

0:11:28.840 --> 0:11:32.840
<v Speaker 2>in western Pennsylvania, small town we had. I had a

0:11:32.920 --> 0:11:36.640
<v Speaker 2>rural delivery address and most of my relatives are coal miners.

0:11:36.840 --> 0:11:38.640
<v Speaker 1>So when you were growing up and you're a little girl,

0:11:38.720 --> 0:11:41.320
<v Speaker 1>did you play with dolls or do you play with pandas?

0:11:41.480 --> 0:11:45.439
<v Speaker 2>I didn't have pandas, so stuffed animals, and you know,

0:11:45.480 --> 0:11:48.200
<v Speaker 2>our neighbors had cows, so I'd always go over and

0:11:48.240 --> 0:11:50.920
<v Speaker 2>you know, you know, feed the cows, and you know,

0:11:51.520 --> 0:11:53.280
<v Speaker 2>see my friends who worked at who lived on farms.

0:11:53.559 --> 0:11:55.959
<v Speaker 1>So you told your parents you want to be a

0:11:56.480 --> 0:11:58.640
<v Speaker 1>National Zoo director? How did you let your parents know

0:11:58.679 --> 0:12:00.640
<v Speaker 1>that you wanted to be are you? Are you trained

0:12:00.640 --> 0:12:01.559
<v Speaker 1>as a zoologist?

0:12:01.760 --> 0:12:06.720
<v Speaker 2>So I actually I was a young girl interested in science,

0:12:06.840 --> 0:12:09.920
<v Speaker 2>you know, in the middle of nowhere in Pennsylvania, and

0:12:10.240 --> 0:12:12.480
<v Speaker 2>I thought that if you wanted to be a scientist,

0:12:12.559 --> 0:12:14.440
<v Speaker 2>that meant you were a doctor. And I thought that

0:12:14.559 --> 0:12:17.640
<v Speaker 2>was my only career path. And I actually got it.

0:12:17.760 --> 0:12:21.880
<v Speaker 2>My undergraduate degree is in biology, and you know, I

0:12:22.200 --> 0:12:23.800
<v Speaker 2>thought about it and I thought, this isn't what I

0:12:23.840 --> 0:12:26.719
<v Speaker 2>want to do. I want to work with animals. So

0:12:26.920 --> 0:12:29.800
<v Speaker 2>I was about to start an internship with an ophthalmologist

0:12:30.400 --> 0:12:34.000
<v Speaker 2>and I called the Pittsburgh Zoo and I just said,

0:12:34.080 --> 0:12:36.439
<v Speaker 2>I want to do what you do. Tell me, how

0:12:36.440 --> 0:12:39.000
<v Speaker 2>did you get this job? And because this was, you know,

0:12:39.080 --> 0:12:41.560
<v Speaker 2>back in the day, the guy said, he said, actually,

0:12:41.679 --> 0:12:44.800
<v Speaker 2>I'm on my way to interview for a summer intern

0:12:45.240 --> 0:12:47.600
<v Speaker 2>and I'll interview you right now, and if you do well,

0:12:47.640 --> 0:12:51.960
<v Speaker 2>I'll hire you. And so I got the job and

0:12:52.000 --> 0:12:54.880
<v Speaker 2>I went home and I told my mother that instead

0:12:54.880 --> 0:12:57.360
<v Speaker 2>of doing an internship with a doctor, I was going

0:12:57.440 --> 0:13:01.960
<v Speaker 2>to intern as a zoo keeper. And well, we were

0:13:02.040 --> 0:13:05.240
<v Speaker 2>driving at the time, so one is, she almost drove

0:13:05.280 --> 0:13:07.480
<v Speaker 2>the car off the road, but the other it was

0:13:07.520 --> 0:13:10.040
<v Speaker 2>the first time I ever heard my mother swear, and

0:13:10.600 --> 0:13:13.240
<v Speaker 2>she said, she's like, at least do something respectable with

0:13:13.280 --> 0:13:14.360
<v Speaker 2>your life. Be a lawyer.

0:13:14.440 --> 0:13:17.480
<v Speaker 1>Okay, so you get this internship and you obviously must

0:13:17.520 --> 0:13:18.800
<v Speaker 1>have liked it. So then what happened?

0:13:19.240 --> 0:13:21.720
<v Speaker 2>I always tell people I never made a smart career

0:13:21.840 --> 0:13:24.000
<v Speaker 2>choice in my life, so I always just kind of

0:13:24.000 --> 0:13:28.000
<v Speaker 2>followed my heart, and I did the internship at the zoo.

0:13:28.080 --> 0:13:30.640
<v Speaker 2>The thing I love about zoos is not just that

0:13:30.720 --> 0:13:35.680
<v Speaker 2>they educate and inspire people, but they are unique conservation organizations.

0:13:35.960 --> 0:13:38.720
<v Speaker 2>There are species that exist on the planet today because

0:13:38.720 --> 0:13:41.160
<v Speaker 2>of zoos, because we care for animals and can breathe them.

0:13:41.640 --> 0:13:45.959
<v Speaker 2>Blackfooted ferret, Panamaanian golden frog, simitar horned rigx, California conders.

0:13:45.960 --> 0:13:48.920
<v Speaker 2>The list goes on. And so I was really fascinated

0:13:48.960 --> 0:13:52.400
<v Speaker 2>with the idea of genetically managing how we manage these

0:13:52.400 --> 0:13:55.600
<v Speaker 2>species genetically so that they're saved for the wild. I

0:13:55.640 --> 0:13:59.960
<v Speaker 2>got a master's degree in zoology that focused on genetic management.

0:14:00.760 --> 0:14:03.000
<v Speaker 2>Then I got a job in another zoo, I did

0:14:03.000 --> 0:14:06.280
<v Speaker 2>more internships, I got my PhD, and eventually I ended

0:14:06.360 --> 0:14:06.680
<v Speaker 2>up here.

0:14:06.800 --> 0:14:09.920
<v Speaker 1>All right, so you've got your PhD in zoology.

0:14:10.040 --> 0:14:13.280
<v Speaker 2>It's a program at University of Maryland. It's called behavior, Ecology,

0:14:13.320 --> 0:14:14.520
<v Speaker 2>Evolution and Systematics.

0:14:14.559 --> 0:14:16.520
<v Speaker 1>So and then you get a job immediately there after

0:14:16.640 --> 0:14:17.520
<v Speaker 1>at the National Zoo.

0:14:17.559 --> 0:14:19.440
<v Speaker 2>Well, actually I had a job. I was the head

0:14:19.440 --> 0:14:22.560
<v Speaker 2>of conservation and science for an organization called the Association

0:14:22.640 --> 0:14:25.600
<v Speaker 2>of Zoos and Aquariums. So we set kind of conservation

0:14:25.680 --> 0:14:29.040
<v Speaker 2>goals for zoos, accredited zoos across the country. It's an office,

0:14:29.080 --> 0:14:32.720
<v Speaker 2>it's an association, and I just really missed. I missed

0:14:32.720 --> 0:14:35.760
<v Speaker 2>being in a zoo. I missed the animals. We create

0:14:35.880 --> 0:14:38.400
<v Speaker 2>magic for people on a daily basis, and I missed

0:14:38.400 --> 0:14:39.040
<v Speaker 2>being part of that.

0:14:39.160 --> 0:14:40.960
<v Speaker 1>So how many zoos are there in the United States?

0:14:41.080 --> 0:14:44.760
<v Speaker 2>So there are about twenty five hundred licensed animal exhibitors

0:14:44.760 --> 0:14:47.880
<v Speaker 2>in the United States, But then there's also an accrediting

0:14:47.920 --> 0:14:51.040
<v Speaker 2>program by the Association of Zoos and Aquariums, and I

0:14:51.040 --> 0:14:54.000
<v Speaker 2>think under two hundred and fifty zoos are accredited, So

0:14:54.120 --> 0:14:56.960
<v Speaker 2>less than ten percent of zoos in the country are accredited,

0:14:57.200 --> 0:14:58.560
<v Speaker 2>and those are the best of the best.

0:14:58.720 --> 0:15:01.560
<v Speaker 1>So the most famous in the United States were the biggest.

0:15:01.560 --> 0:15:03.960
<v Speaker 1>I would think leaving the National Zoo a side is

0:15:03.960 --> 0:15:06.000
<v Speaker 1>the San Diego Zoo Is that the biggest? Actually?

0:15:06.120 --> 0:15:08.840
<v Speaker 2>So, I do think it's the most well known zoo.

0:15:08.920 --> 0:15:11.440
<v Speaker 2>A lot of people are very familiar with that zoo.

0:15:11.480 --> 0:15:14.240
<v Speaker 1>Over the years the National Zoo is not the only

0:15:14.320 --> 0:15:17.040
<v Speaker 1>zoo in the United States that's had pandas, right, and

0:15:17.080 --> 0:15:20.640
<v Speaker 1>so I thought there were at one point four San Diego, Memphis, Atlanta,

0:15:20.680 --> 0:15:22.760
<v Speaker 1>and Washington. They still have.

0:15:22.760 --> 0:15:25.200
<v Speaker 2>Them now as part of the loan program started at

0:15:25.280 --> 0:15:27.400
<v Speaker 2>roughly the same time, so a lot of the pandas

0:15:27.400 --> 0:15:29.880
<v Speaker 2>were kind of moving through in cohorts, and so a

0:15:29.880 --> 0:15:32.920
<v Speaker 2>lot of zoos in the past two or three years

0:15:33.240 --> 0:15:36.480
<v Speaker 2>their pandas were older and returned to China. And so

0:15:36.680 --> 0:15:39.160
<v Speaker 2>right now only the National Zoo and the San Diego

0:15:39.240 --> 0:15:40.120
<v Speaker 2>Zoo have giant pandas.

0:15:40.160 --> 0:15:42.320
<v Speaker 1>So go back and finish up on your career. So

0:15:42.360 --> 0:15:45.360
<v Speaker 1>you're working at this association and you now say, I

0:15:45.400 --> 0:15:47.560
<v Speaker 1>really want to be with animals directly. So then did

0:15:47.560 --> 0:15:48.920
<v Speaker 1>you apply to the National Zoo.

0:15:49.040 --> 0:15:52.560
<v Speaker 2>Yeah, there was an opening for a general curator. It

0:15:52.600 --> 0:15:55.280
<v Speaker 2>was more of a curator of mammals, and it was

0:15:55.360 --> 0:15:59.360
<v Speaker 2>also the curator of giant pandas. And so my story

0:15:59.360 --> 0:16:01.800
<v Speaker 2>actually came full circle because when I got the job

0:16:01.880 --> 0:16:04.720
<v Speaker 2>here and I was in charge of the giant pandas,

0:16:04.720 --> 0:16:05.920
<v Speaker 2>my mother was so proud.

0:16:06.720 --> 0:16:08.440
<v Speaker 1>Did she come to visit the pandas? Ever?

0:16:08.520 --> 0:16:09.160
<v Speaker 2>Oh right away?

0:16:10.320 --> 0:16:12.000
<v Speaker 1>So all right, So then you were the head of

0:16:12.000 --> 0:16:15.360
<v Speaker 1>the mammal program, including that the pandas. When did you

0:16:15.400 --> 0:16:17.960
<v Speaker 1>become the head of the National Zoo itself the whole head?

0:16:18.160 --> 0:16:20.880
<v Speaker 2>At first I was essentially curator of mammals and curator

0:16:20.880 --> 0:16:24.520
<v Speaker 2>of giant pandas, and then after a few years I

0:16:24.600 --> 0:16:27.160
<v Speaker 2>became the head of Animal Care, so I saw all

0:16:27.200 --> 0:16:32.120
<v Speaker 2>of the animals, the veterinarians, nutrition, wrecords, behavior, all of

0:16:32.160 --> 0:16:36.440
<v Speaker 2>the departments. And then eventually I became deputy director, and

0:16:36.520 --> 0:16:38.120
<v Speaker 2>then a few years later I became director.

0:16:38.400 --> 0:16:42.160
<v Speaker 1>So if you walk around and did she the pandas,

0:16:42.160 --> 0:16:43.240
<v Speaker 1>did they recognize you?

0:16:43.640 --> 0:16:45.760
<v Speaker 2>It is one of the saddest movements of my life.

0:16:45.800 --> 0:16:47.920
<v Speaker 2>When I was curator of giant pandas and I was

0:16:47.960 --> 0:16:50.480
<v Speaker 2>here all of the time, the pandas knew who I was.

0:16:50.560 --> 0:16:52.840
<v Speaker 2>They recognized me or at least my voice, and I

0:16:52.840 --> 0:16:55.000
<v Speaker 2>could call their name and they would show an interest.

0:16:55.760 --> 0:16:59.120
<v Speaker 2>But as director, I don't. I'm not with them every day.

0:16:59.200 --> 0:17:01.400
<v Speaker 2>I'm not the ringer food and love and happiness.

0:17:01.520 --> 0:17:04.199
<v Speaker 1>So today, how many different species do you have at

0:17:04.200 --> 0:17:05.000
<v Speaker 1>the National Zoo?

0:17:05.880 --> 0:17:11.200
<v Speaker 2>We have about three thousand animals from about three hundred

0:17:11.200 --> 0:17:12.440
<v Speaker 2>different species.

0:17:12.280 --> 0:17:15.400
<v Speaker 1>And how many professionals do you have working here.

0:17:15.280 --> 0:17:17.320
<v Speaker 2>At both locations. We've got about four hundred people.

0:17:17.560 --> 0:17:20.480
<v Speaker 1>And how many people come a year to the National Zoo.

0:17:20.480 --> 0:17:24.640
<v Speaker 2>So just under two million people come every year. And

0:17:24.720 --> 0:17:28.359
<v Speaker 2>we actually we only had one year without Giant Pandas,

0:17:28.720 --> 0:17:31.840
<v Speaker 2>and what we noticed was that our attendants actually dropped

0:17:31.960 --> 0:17:34.360
<v Speaker 2>twenty percent when Giant pandas weren't here.

0:17:34.480 --> 0:17:36.960
<v Speaker 1>What did you do when COVID came? Nobody showed up?

0:17:37.000 --> 0:17:39.920
<v Speaker 2>Then, right, we didn't have any visitors, but we had

0:17:39.920 --> 0:17:43.120
<v Speaker 2>to keep working. So if we're responsible for the living collection,

0:17:43.400 --> 0:17:46.240
<v Speaker 2>I'll actually never forget that moment because the world is

0:17:46.280 --> 0:17:49.560
<v Speaker 2>closing down because of COVID. And our team gathered in

0:17:49.600 --> 0:17:52.000
<v Speaker 2>our line in Tiger Building and the offices there have

0:17:52.080 --> 0:17:54.840
<v Speaker 2>this kind of bunker like feel, and we were there

0:17:54.960 --> 0:17:58.280
<v Speaker 2>and we said, okay, what do we do? And everyone's concern.

0:17:58.640 --> 0:18:01.240
<v Speaker 2>The concern wasn't I can't go home. The concern was

0:18:01.280 --> 0:18:03.200
<v Speaker 2>what happens if I get sick and I can't take

0:18:03.200 --> 0:18:06.400
<v Speaker 2>care of my animals? And so we had animal care.

0:18:06.480 --> 0:18:09.400
<v Speaker 2>We had a team and b team that didn't cross,

0:18:09.720 --> 0:18:12.680
<v Speaker 2>so we could always have someone who could be there

0:18:12.720 --> 0:18:13.920
<v Speaker 2>to take care of the animals.

0:18:14.160 --> 0:18:16.920
<v Speaker 1>Now does a China say if you have two pandas

0:18:16.920 --> 0:18:20.040
<v Speaker 1>that they've rented to you, and there's a baby panda

0:18:20.480 --> 0:18:22.600
<v Speaker 1>that they owned the baby panda, or do you own

0:18:22.640 --> 0:18:23.560
<v Speaker 1>the baby panda?

0:18:23.640 --> 0:18:26.120
<v Speaker 2>So they own all pandas. But this is a good

0:18:26.160 --> 0:18:30.000
<v Speaker 2>thing because the majority of pandas live in China. And

0:18:30.080 --> 0:18:34.080
<v Speaker 2>so again we're not producing pandas just because we went

0:18:34.160 --> 0:18:38.040
<v Speaker 2>to although it's wonderful. These pandas are all part of

0:18:38.080 --> 0:18:41.040
<v Speaker 2>a conservation program. So if a cub was here and

0:18:41.080 --> 0:18:43.320
<v Speaker 2>it grew up here, it can't breed with its parents,

0:18:43.720 --> 0:18:46.000
<v Speaker 2>and so the cub returns to China so that it

0:18:46.000 --> 0:18:48.080
<v Speaker 2>can be part of the breeding program.

0:18:48.160 --> 0:18:51.440
<v Speaker 1>When a baby is let's say, has some fur and

0:18:51.480 --> 0:18:55.400
<v Speaker 1>can see and hear, a human can pick that baby up, right,

0:18:55.440 --> 0:18:57.560
<v Speaker 1>I mean, let's say in a zoo or a control setting,

0:18:57.720 --> 0:19:00.840
<v Speaker 1>you're allowed to pick up a panda a small a size.

0:19:01.200 --> 0:19:02.320
<v Speaker 1>But is that right?

0:19:02.640 --> 0:19:06.119
<v Speaker 2>We do wellness checks on the cubs soon after they're born,

0:19:06.280 --> 0:19:09.240
<v Speaker 2>so we do actually get hands on our giant pandas

0:19:09.280 --> 0:19:10.960
<v Speaker 2>just to make sure they're doing fine and they're healthy

0:19:11.000 --> 0:19:12.000
<v Speaker 2>and everything's okay.

0:19:12.040 --> 0:19:15.400
<v Speaker 1>After a panda is what size? Is it not possible

0:19:15.400 --> 0:19:18.080
<v Speaker 1>for a zoo keeper to actually be in the cage

0:19:18.080 --> 0:19:20.800
<v Speaker 1>alone with them because they're bears and it could be dangerous.

0:19:20.920 --> 0:19:23.600
<v Speaker 2>So it's actually usually when they're about a year old,

0:19:24.200 --> 0:19:28.200
<v Speaker 2>they hit about one hundred pounds, and that's the time

0:19:28.240 --> 0:19:30.840
<v Speaker 2>when they start to get they're not predators. They're not

0:19:30.840 --> 0:19:33.160
<v Speaker 2>going to see you as food, right, they don't see

0:19:33.160 --> 0:19:35.800
<v Speaker 2>you as a threat. But even if they just do right,

0:19:35.800 --> 0:19:38.800
<v Speaker 2>they've got strong jaws. They've got sharp claws, so an

0:19:38.840 --> 0:19:41.880
<v Speaker 2>animal could inadvertently hurt you even without trying.

0:19:41.920 --> 0:19:46.720
<v Speaker 1>It probably went into a panda, you know place right now,

0:19:46.800 --> 0:19:48.879
<v Speaker 1>like here where the pandas are, and there they is

0:19:48.920 --> 0:19:53.080
<v Speaker 1>now weigh three hundred pounds. Would that be dangerous And it.

0:19:53.040 --> 0:19:55.679
<v Speaker 2>Would be and not because again they're not predators, so

0:19:55.680 --> 0:19:57.600
<v Speaker 2>they wouldn't see you as food. It wouldn't look like

0:19:57.640 --> 0:20:01.320
<v Speaker 2>a tasty treat if you walked in, but they would think.

0:20:01.359 --> 0:20:03.360
<v Speaker 2>They could think that you're a toy. They could think

0:20:03.400 --> 0:20:05.679
<v Speaker 2>that we're something that we gave to them just to

0:20:05.720 --> 0:20:10.080
<v Speaker 2>play with their jaws. Their bite force actually equals that

0:20:10.359 --> 0:20:13.439
<v Speaker 2>of a lion or tiger. So if they wanted to

0:20:13.440 --> 0:20:15.840
<v Speaker 2>play with you, they've got the claws, they got the teeth,

0:20:15.840 --> 0:20:17.520
<v Speaker 2>they got the strength. They could do some damage.

0:20:17.600 --> 0:20:20.639
<v Speaker 1>So let's talk about the pandacam for a moment. You

0:20:20.760 --> 0:20:24.520
<v Speaker 1>have a camera that watches pandas twenty four hours a day.

0:20:24.800 --> 0:20:27.680
<v Speaker 2>I think people really enjoy watching the pandacam because they're

0:20:27.720 --> 0:20:32.639
<v Speaker 2>seeing them how we watch them. We decided we're going

0:20:32.680 --> 0:20:34.720
<v Speaker 2>to do something a little bit different this year because

0:20:34.760 --> 0:20:36.960
<v Speaker 2>it's not just people in the United States, but people

0:20:37.119 --> 0:20:40.199
<v Speaker 2>around the world are watching the pandacam. We want to

0:20:40.200 --> 0:20:42.760
<v Speaker 2>do it during the daytime, you know, during the twelve

0:20:42.800 --> 0:20:45.600
<v Speaker 2>hours during the day when people are when you know,

0:20:45.640 --> 0:20:48.000
<v Speaker 2>the pandas are awake, when keepers are interacting with them.

0:20:48.359 --> 0:20:49.840
<v Speaker 2>So what we're going to do is we'll have twelve

0:20:49.880 --> 0:20:52.720
<v Speaker 2>hours with the giant pandas and then replay at twelve

0:20:52.760 --> 0:20:54.359
<v Speaker 2>hours for the people on the other side of the

0:20:54.400 --> 0:20:55.800
<v Speaker 2>world who want to see giant pandas.

0:20:55.920 --> 0:20:58.400
<v Speaker 1>Have you thought about selling advertising on your pandacam.

0:20:58.600 --> 0:21:02.320
<v Speaker 2>We are Smithsonians Nationals Zoo, and so we receive about

0:21:02.640 --> 0:21:06.320
<v Speaker 2>sixty percent of our funding from the federal government, and

0:21:06.440 --> 0:21:08.600
<v Speaker 2>as such, we want to make sure that we are

0:21:08.640 --> 0:21:11.240
<v Speaker 2>open and available to every single person who wants to

0:21:11.240 --> 0:21:14.920
<v Speaker 2>see tiant pandas and not necessarily be assailed by by ads.

0:21:15.000 --> 0:21:17.879
<v Speaker 1>So sixty percent of your funding comes from the federal government.

0:21:18.000 --> 0:21:19.920
<v Speaker 1>The other forty percent just falls out of the sky.

0:21:20.000 --> 0:21:20.960
<v Speaker 1>Where does that come from?

0:21:21.480 --> 0:21:23.480
<v Speaker 2>Well, we're really fortunate, you know, we were talking about

0:21:23.480 --> 0:21:28.920
<v Speaker 2>the pandacam and so Boeing sponsors our pandacams their corporations

0:21:28.920 --> 0:21:33.199
<v Speaker 2>to help splonster us. We have some incredibly generous donors

0:21:33.240 --> 0:21:37.400
<v Speaker 2>who support us through philanthropy, and we also generate revenue.

0:21:37.760 --> 0:21:40.000
<v Speaker 2>And so when people come here, they come to the zoo,

0:21:40.040 --> 0:21:42.600
<v Speaker 2>and they come here for free because we're Smithsonian. But

0:21:42.680 --> 0:21:45.240
<v Speaker 2>when they buy a stuffed panda or a T shirt,

0:21:45.359 --> 0:21:47.560
<v Speaker 2>or they eat, you know, a hamburger or a hot dog here,

0:21:48.480 --> 0:21:51.760
<v Speaker 2>that money goes to support the zoo in all of

0:21:51.760 --> 0:21:52.720
<v Speaker 2>our conservation work.

0:21:53.440 --> 0:21:56.680
<v Speaker 1>So if somebody wants to know something about the National Zoo,

0:21:56.680 --> 0:21:59.400
<v Speaker 1>and you've got two or three sentences, you can give them.

0:21:59.600 --> 0:22:02.160
<v Speaker 1>What is a summary of at the National Zoo, Why

0:22:02.240 --> 0:22:04.480
<v Speaker 1>is it so great? And why should somebody visit the

0:22:04.520 --> 0:22:05.200
<v Speaker 1>National Zoo.

0:22:06.200 --> 0:22:09.399
<v Speaker 2>National Zoo is part of Smithsonian. We are free, we

0:22:09.520 --> 0:22:13.400
<v Speaker 2>are open and welcome to everyone. And when you come here,

0:22:13.880 --> 0:22:15.879
<v Speaker 2>you are not just seeing the animals, You are not

0:22:15.960 --> 0:22:18.320
<v Speaker 2>just having an incredible time that will stay with you

0:22:18.400 --> 0:22:20.560
<v Speaker 2>and your family, through the rest of your lives. You

0:22:20.640 --> 0:22:23.159
<v Speaker 2>are part of our conservation success.

0:22:23.920 --> 0:22:26.439
<v Speaker 1>Thanks for listening to hear more of my interviews. You

0:22:26.480 --> 0:22:30.560
<v Speaker 1>can subscribe and download my podcast on Spotify, Apple, or

0:22:30.600 --> 0:22:31.439
<v Speaker 1>wherever you listen.