Podchaser Logo
Home
Order and chaos

Order and chaos

Released Tuesday, 13th December 2022
Good episode? Give it some love!
Order and chaos

Order and chaos

Order and chaos

Order and chaos

Tuesday, 13th December 2022
Good episode? Give it some love!
Rate Episode

Episode Transcript

Transcripts are displayed as originally observed. Some content, including advertisements may have changed.

Use Ctrl + F to search

0:01

It's two thousand

0:03

and ten. I'm sitting

0:05

on a bench in the grounds of the University

0:07

of Nottingham Sutton Bonnington campus

0:10

alone quiet and

0:13

watching.

0:16

This is the first day of term.

0:18

Fresh faced undergraduates mill

0:20

about nervously, gathering in small

0:23

groups, making their hurried journeys

0:25

to and fro, finding their place

0:27

in this strange new world.

0:32

At a glance, their move mint seems

0:34

random, chaotic. Yet

0:36

the decades old pads worn into

0:38

the ground under their feet suggest they

0:40

are part of a big older story.

0:43

A story that I can see unfold by

0:45

sitting here still for

0:48

long enough to watch the patterns developing.

0:51

Like ants making their way to and from

0:53

their nests.

0:57

As random as it may all seem,

0:59

these people are moving with purpose.

1:04

For almost as long as I can remember,

1:06

this is how I settle into any

1:09

new environment. It's a habit

1:11

I developed as a child when we

1:13

used to move countries every three

1:15

years or so with my father's job,

1:18

often at short notice. One

1:21

move might be to Botswana.

1:25

The next Nigeria Our

1:29

entire frame of reference could change

1:31

overnight from language to

1:33

education to friendship

1:34

groups. But

1:36

I learned to embrace the change and

1:39

turn all that potential chaos

1:41

into my own kind of order by

1:43

watching listening and taking

1:45

it all in. Sitting

1:48

on this bench at the University of

1:51

Nottingham in two thousand ten,

1:53

I'm glad these skills, this ability

1:55

to draw order out of chaos.

2:00

The years that lay ahead of me first to

2:02

my undergraduate degree, then masters

2:05

and finally PhD will be tougher

2:07

and more complex than I can imagine

2:09

right now. But in this quiet

2:11

moment, it feels like everything

2:14

is coming together.

2:25

I'm Lieutenant Shackle did. And

2:27

I'm Sebastian Echevari.

2:28

And this is the BBC

2:30

Earth podcast.

2:41

In this episode, we are talking

2:44

about order and chaos. We'll

2:46

hear from the scientists try to categorize

2:49

the DNA of every plant, animal,

2:51

and fungus in the entire UK.

2:54

Things will get routed in an experts

2:57

guide to murmurations and

2:59

we'll find ourselves at the center of a migrating

3:02

herd of wildebeast.

3:06

I

3:08

think it takes a scientific

3:10

mind to observe the world in the

3:12

way that you described. Sitting

3:14

down and making sense of what you're seeing.

3:17

And doing so, you unlock this whole

3:19

new skill set. You're easing

3:22

your adjustment into unfamiliar worlds,

3:24

which from the sounds of it, is something

3:26

you experience a lot.

3:27

Yeah. It's always this weird sort of thing

3:30

that, you know, when you move from one

3:32

country to the next especially when it's so

3:34

abruptly, you can

3:36

feel the chaos it's almost like

3:38

you're in the rapids of a

3:40

river. And it sounds like you've learned

3:42

to really embrace that chaos.

3:44

Yeah. I'd say more accurately find

3:47

the order out of the chaos. Right?

3:49

So you stop swimming against

3:51

the current and, like, flailing around

3:53

in the river rapids and just learn

3:56

to go with the flow, which is what this

3:58

episode is really about, you know, that

3:59

tension between order and disorder.

4:03

And how our response to

4:05

those things can actually change

4:07

them.

4:07

One of the things that I think is super

4:09

interesting about nature is that

4:12

our perspective on something

4:14

can really shift if we just

4:17

change the scale of what we're looking at.

4:19

Mhmm. So On the

4:21

big surface level, a B

4:23

colony can look like a well

4:25

oiled ordered machine. But

4:27

if you follow what a bee or

4:29

say other social insects like termites

4:31

or ants, if you follow

4:33

what they're doing on an individual

4:36

level or even as a small group,

4:38

they're kind of bumbling around looking for

4:40

stuff. They have a general idea, but

4:42

it isn't all smooth lines

4:44

and perfect planning. And you can take

4:46

this even further. If you zoom all the

4:48

way down to the size of molecule

4:51

and individual atoms and even subatomic

4:54

particles, the rules

4:56

and the physics that describe how

4:58

those objects interact with

5:00

each other have this

5:02

inherent chaotic randomness

5:04

to it. Of course, if you zoom

5:06

all the way back out, we don't notice

5:08

that every second to second, but it is

5:10

there. There are scientists and

5:12

researchers all over the world spending

5:14

years and years of their lives trying

5:16

to see how it fits together, trying to

5:18

see what patterns they

5:20

can notice within the chaos. And

5:23

then there's a group of researchers in

5:25

Oxford UK who have taken all of this

5:27

to the next level in

5:29

what's become known as the Darwin

5:31

Tree of Life Project.

5:33

It's a big project. You know, there

5:35

aiming to sequence the genomes of

5:38

all seventy thousand species of

5:40

plants and animals and fungi in

5:42

the entire United Kingdom. I

5:44

feel like

5:44

there might be listeners out there who have

5:47

heard the term gene sequencing, but

5:49

are perhaps not quite sure what it means.

5:51

And trust me, I have been there

5:53

many, many times. How

5:55

would you explain the concept of

5:57

sequencing a genome? In

5:59

very

5:59

general terms, a genome

6:02

is the complete set of DNA

6:05

for an organism. And

6:07

sequencing is a process of

6:10

figuring out what the order

6:12

of an organism's DNA

6:13

is There are of course a lot of extra

6:16

steps and complications along the way,

6:18

but we'll leave that to the experts.

6:20

It's

6:22

mid spring at an absolutely perfect

6:25

time for visiting and also

6:27

sampling in the woods.

6:31

We're surrounded by an absolute see

6:33

of bluebells.

6:35

It's very lovely.

6:42

I'm doctor Liam Crowley, and

6:44

I'm a post doctor a researcher at

6:47

the University of Oxford. Apartment

6:49

of zoology. And we're

6:51

working on the Darwin

6:53

Tree of Life project where we're trying

6:55

to sequence the full genome of every

6:57

species of animal, plants,

6:59

and fungi in the UK. And

7:04

that number is more

7:07

than seventy thousand species.

7:14

Today, we're just gonna go after one

7:16

species in particular. So

7:18

it's called surface arbizii and

7:20

it's a hoverfly. They

7:22

love dappled leaves of Sycamore

7:24

and Beach, that kind of thing. And

7:26

this species does a really interesting

7:29

the peculiar thing where the males

7:31

actually sit on a leaf

7:34

and hump. And no one really knows

7:36

exactly why they do it. It's probably some kind

7:38

of territory thing. But

7:40

it's it means that sometimes you walk

7:42

into a woodland especially in spring and

7:44

you just hear this background humming

7:46

And for years, I didn't know what it was and then I found out

7:48

it's this hoverfly.

7:57

Okay. So I've just heard a

7:59

buzzing

7:59

over here for the side. There's

8:02

some males just hovering above our head

8:04

now. And if they land on

8:06

one of these leaves, we might be able to hear

8:08

them doing that buzzing.

8:20

So our next job is to try and

8:22

catch one and I've got a fancy kite

8:24

net, which has got a long handle, which

8:26

will allow me to reach up. And if I'm

8:28

quick, I can just reach up

8:30

and Yep.

8:33

I've got one here in the bottom of

8:35

the net. And I can take him out,

8:37

pop him in a pot, and then we'll

8:39

take him back to the lab and flash

8:41

freeze to preserve the DNA.

8:45

We

8:47

have

8:51

here a a bath of

8:53

dry ice colder than minus

8:55

eighty. And then within that, we

8:57

have cooling arena and

8:59

the the sample goes to that arena and then

9:01

instantly flash freezes We can

9:03

then quickly photograph it and

9:05

remove a leg for DNA barcoding, and

9:07

then the rest of the sample goes into one

9:09

of these pots.

9:11

And each pot

9:13

has its own unique barcode

9:16

and then the pots will

9:18

go through into the

9:20

freezer. And in

9:26

the next step, these samples will be

9:28

shipped to the SendGrid to Tube where the sequencing

9:31

happens.

9:34

I'm

9:37

Caroline Howard. I'm senior scientific

9:40

manager the Tree of Life program. So

9:42

I lead the call laboratory team.

9:48

Across

9:48

the country, we have hundreds of collectors

9:50

who collect all manner of

9:52

organisms from bees to beetles

9:54

to fish in the oceans. And

9:57

they freeze them and send them all to us

9:59

here.

10:02

Samples arrive in these beautifully

10:04

bar coded tubes. We can remove the

10:06

sample from the tube and we then need to

10:08

disrupt

10:08

it.

10:10

For smaller samples,

10:14

We put the organisms, something like

10:16

a mosquito into a tube with

10:17

some special digestive juices.

10:20

then we use our power massher

10:22

to swizz the mosquito

10:24

around and disrupt it.

10:30

So after the initial digestion

10:33

or lysis of the

10:35

organism, the samples

10:37

go onto our apex which

10:39

is an automatic DNA

10:41

extraction machine.

10:48

After DNA extraction, we have

10:50

a tube filled with some high

10:52

quality, very pure DNA that's

10:54

very, very long fragments. The

10:57

next thing we need to do is chop that

10:59

DNA into smaller pieces so that

11:01

we can load those smaller pieces onto

11:03

the sequences. We

11:05

use the megarupter to shear the

11:07

DNA into smaller sized

11:09

pieces, ideal for sequencing. Welcome

11:12

to the Meg Proctor three. Starting

11:16

the sharing process.

11:20

So we have here a

11:23

tube of DNA that contains

11:25

the whole genome for a particular

11:27

organism chopped into pieces. We then

11:29

send that through to our sequencing

11:31

teams. And after that, our

11:33

bioinformatics teams build

11:35

back that jigsaw and create

11:37

a whole reference level genome.

11:41

And black and I'm lead on

11:44

the Tree of Life program at the Welcome

11:46

Sanger Institute near Cambridge. We're

11:49

sequencing from all the

11:51

organisms that live in this Atlantic

11:53

archipelago and also the species that live

11:55

in the sea, and so we're sequencing everything.

11:59

So when we're up and running properly,

12:02

which is probably in about three to five years

12:04

time at full speed,

12:06

We hope you're doing about five thousand

12:08

genomes a year, which is a hundred

12:10

genomes a week, which is twenty a

12:12

day, which is four before

12:14

coffee in the morning. At

12:16

times it's daunting, but when you step back and look

12:18

at the possibilities and the the

12:20

delight that we'll be in having the complete

12:22

catalog, it's it's really exciting.

12:28

Why not sequence a few genomes

12:31

while you're brewing your morning coffee?

12:33

You'll easily crack the five

12:35

thousand a

12:35

year. Right? Oh, yeah. A piece of

12:38

cake. There's so much that we can learn

12:40

from having all of those genomes.

12:42

We

12:42

can track the genetic diversity

12:45

of the natural world,

12:47

taking a microscope almost and

12:50

looking at how genetically diverse

12:52

all the individuals are in a

12:54

certain species. And

12:56

the more we under stand the

12:59

genetics of the species that we're

13:01

conserving, the more we can have

13:03

targeted medical

13:05

interventions for them if they

13:07

are sick or if they

13:09

need some sort of veterinary support.

13:10

But it also goes the other way. We

13:13

can use what we learn

13:15

about these animals to find

13:17

new treatments for us. Because

13:19

inside of each species, there

13:22

is a ton of different little

13:24

biological machines that can

13:26

do tasks that sometimes

13:28

prove really helpful to

13:30

curing our diseases as well.

13:32

But they're are some

13:34

questions that I do have, particularly

13:36

about the number of species involved.

13:39

Because to bring us back to the

13:42

balance between order and chaos that

13:44

is at the heart of this episode, figuring

13:47

out what makes one species

13:49

different from another can be

13:51

really tricky. How does the

13:53

team know when they've hit

13:55

seventy thousand species when

13:57

sometimes the line between one species

13:59

and another can be a

14:01

little chaotic. Are we

14:03

dividing that based on whether the

14:05

organisms can reproduce with other

14:07

or how their bodies look like or

14:09

work or their role in the ecosystem

14:11

or, you know, just how

14:13

similar their DNA is on the

14:16

percentage level? I'd

14:17

like to think that they have

14:19

a preexisting list of

14:22

seventy thousand species, known

14:24

species. And anything

14:26

outside of that is almost like

14:28

extra credit or a bonus.

14:32

Will they

14:32

know for sure? Because, oh, well, hold

14:34

on. If someone goes back, it's like, oh, we're at,

14:36

you know, sixty nine thousand nine hundred and

14:38

ninety six. But maybe

14:40

if we say, all species

14:42

is something that's ninety nine point

14:44

eight percent DNA similar, we'll

14:47

hit seventy k tomorrow. We can take the

14:49

day. It's really

14:51

tricky. There are some definitions that

14:53

work more than others. We

14:55

gotta be humble and

14:58

realize, yeah, we can have better definitions. We

15:00

can make better labels. We can have a

15:02

better system. But there's always

15:04

gonna be some fuzziness and

15:06

no one owes us a perfect or

15:08

simple answer.

15:16

Sebastian, have you ever stood

15:19

and watched

15:19

birds in murmuration. Yes.

15:22

There was this one time I was visiting

15:25

my wife's sister in New

15:27

York City and she was in an

15:29

apartment by Central Park and

15:31

was pretty high up and there were these

15:33

huge flocks

15:35

of pigeons that would

15:37

gather on the roofs of other

15:39

buildings. Mhmm. And every now and

15:41

then they'd all take off at once and

15:44

swoop through the air, and

15:46

they move as this one big

15:48

mass. I mean, it almost feels like a

15:50

living giant living thing

15:52

in the way that it moves so smoothly.

15:53

It's just the most incredible

15:56

thing, isn't it? To see all those

15:58

birds, you know, flying together

16:00

moving almost just one block. It

16:02

is truly impressive.

16:08

Mario Pesendorfer is an animal

16:10

behavior scientist and he's been

16:12

paying close attention to

16:14

murmurations for several

16:15

years.

16:17

When

16:18

animals get into large

16:21

groups, funny things

16:22

happen. Many of

16:26

the animals that perform murmurations

16:29

make quite a taste see

16:31

snack to birds of prey or

16:33

other animals of prey. And

16:35

when you group up into large groups,

16:37

you get several benefits. One

16:40

of them is the dilution effect,

16:43

meaning the chance that you are the one

16:45

getting picked off becomes smaller.

16:48

Another effect of a large group

16:50

is the confusion

16:51

effect. When

16:55

humans watch membranes, it is

16:57

very hard to track one individual

16:59

in the sky And the same is true for predators,

17:02

so they have a hard time picking which

17:04

one they will actually try to hit, and then

17:06

they miss most often. And

17:08

finally, you can also hide a little bit. So the

17:10

the mere spatial organization of

17:12

the large group can lead

17:15

to the appearance of a much larger individual,

17:17

you know, instead of a mouse, you

17:19

are now trying to chase an elephant, and

17:21

this may also deter competitors.

17:26

And predation is considered one of the

17:28

main drivers of membranes, but

17:30

there are also other functions So many

17:32

animals perform murmurations

17:34

or these types of

17:37

behaviors before they join a

17:39

communal roost where they sleep

17:41

overnight together.

17:45

One of the fascinating aspects

17:47

of collective

17:48

movement is that

17:50

we have a large group of individuals

17:53

moving in a coordinated manner,

17:55

often without clear

17:57

leadership, know, we don't see a lead

17:59

bird flying in one direction and then

18:01

all other birds following. So in

18:03

the case of Starlings, we don't think that

18:05

there is a group of starlings that

18:07

decides about what we should do or what the group

18:09

should do and all the other starlings follow.

18:12

Rather, it is that you know, a certain

18:14

starling is exposed to a stimulus. For

18:16

example, it is approaching a

18:19

food source or it is It

18:21

perceives the dangerous paragon

18:23

Falcon and mighty aerial predator

18:25

and thus responds in a way that it

18:27

would, on its own, and the birds around

18:29

and do the same. And this behavior

18:31

on one side of the flock then results

18:33

in a wave of behavior that propagates

18:36

through the whole group. And

18:38

this does not just involve a single

18:40

individual around you. For example, in

18:42

Starling Momerations, we know that the

18:45

birds orient themselves on

18:47

the behavior of about six to seven

18:49

individuals that are within their

18:51

field

18:52

of vision. Memorations

18:56

are sort of a unique

18:59

form that we perceive in

19:01

starlings, but grouping behavior and

19:03

moving, collective movement is something that is common

19:05

in the animal kingdom. Humans

19:06

actually display behavior

19:09

that is in some ways akin to

19:12

murmurations.

19:13

And these are

19:15

MOSPits at rock concerts where people

19:17

are knocking each other around and

19:19

sort of like trying to run-in circles.

19:24

Because

19:26

marsh pits are a type of

19:29

collective of several hundred

19:31

humans that arise from very

19:33

simple individual behavioral

19:35

rules and leads to movement

19:37

patterns that know, if you

19:39

look at a mass pit from above, you could almost recognize the

19:42

starling murmuration.

19:48

One of the

19:51

coolest collective movement behaviors

19:53

that I have personally observed

19:55

is that of of flocking in

19:58

crows, adjacent ravens, which are the birds and the

20:00

family of Corvidir.

20:01

Clothes

20:05

in Vienna, Austria, the city

20:07

where I live performed these

20:10

big flights that are akin to murmurations where they funnel

20:12

in the sky often

20:14

up to one two kilometer high

20:16

so that you see thousands

20:18

of birds funneling, so

20:20

flying in a circle above

20:22

a certain area

20:23

of town. And of

20:27

course me

20:29

being a student of animal behavior, I would try

20:31

to find the center of this funnel and stand

20:34

underneath in awe with my

20:36

binoculars trying to point at individual

20:38

birds was which was impossible.

20:42

However, one pattern became very

20:44

clear after standing there for a

20:46

while. This

20:46

funnel seems to be functioning as a

20:49

signal because birds join

20:51

the funnel from all directions in the city.

20:54

However, the leaving stream of

20:56

birds all goes directly to our

20:58

local cemetery. And in the cemetery

21:00

is where there's a very large

21:02

roost where these birds spent

21:04

the night together. So to

21:07

me, it looked as if this was a type of

21:09

information center where the birds were signaling to

21:11

all the crows that intended to sleep

21:13

in this roost. Hey, here's

21:15

our rules. Here's how you're gonna get in. Just kind

21:18

of check-in into our funnel and then you can

21:20

fly out with the group right over

21:22

to the hereditary.

21:28

Observing

21:29

these birds was

21:31

almost as if I was let in on a little bit of their

21:34

secret. When you study

21:36

animal behavior, you're often frustrated by

21:38

the fact that you cannot simply

21:40

go up to a crow and ask it,

21:43

hey, what are you doing and why are

21:45

you doing this? So when

21:47

we're

21:47

left to observe

21:50

impressive behaviors such as these

21:52

murmurations or these bird funnels. You

21:54

know, one begins to ponder and question, well,

21:56

what are they doing? And and maybe

21:58

I have no idea. Maybe this is just an

22:00

ancient ritual that they've been performing for

22:03

many, many centuries and

22:05

for some completely different reason than I'm

22:08

hypothesizing.

22:09

While we may

22:12

study and many of these things

22:14

into great detail and with more

22:16

computer programs and simulations,

22:19

sometimes we just may never get

22:21

the answer and there's something beautiful about that, that the

22:23

mystery of their lives does not

22:25

always need to be fully revealed to

22:27

us.

22:31

I

22:32

wish so much that I could

22:35

ask all these animals, hey,

22:37

excuse me, why are you doing that?

22:39

Tell me right now.

22:40

I know exactly what you mean because I

22:43

used to be so jealous of doctor

22:45

Doolittle when I was a kid because I guess you're

22:47

not, I would just stare

22:49

at

22:49

my dogs waiting for the day that

22:51

they will look at me and open

22:53

their mouth and say

22:56

something. Exactly. And

22:58

I also have, like,

23:01

fears I don't know if any other

23:03

conservationists or behaviors feel this

23:05

way, but I had fears during my

23:07

PhD research that one

23:09

day the elephants I was studying would

23:11

start talking and tell me that all the

23:13

behavior I'd interpret putted them doing

23:15

was wrong. Yeah.

23:16

They just messing

23:18

with you. They just thought it was fun.

23:21

Okay. We'll we'll keep we'll keep an eye on that or an ear

23:23

out for any elephant

23:26

revelations. But so cool when someone like Mario

23:28

can get at least a little bit of

23:30

the mystery resolved. I'm

23:33

fascinated by how such a

23:35

complicated, coordinated behavior

23:38

can happen without each

23:40

bird talking directly to each

23:42

other. They're just paying attention to their

23:44

immediate neighbors and

23:46

just one movement on one side of

23:48

the huge flock can sweep across the

23:51

whole group. Birds

23:53

are not the only animals that move in these huge

23:56

formations. The first were

23:59

insects, may flies, and

24:01

locusts have been doing this for hundreds

24:03

of millions of years, gathering in

24:05

huge numbers, and traveling in

24:08

swarms for a variety of

24:10

reasons. One of those is migration

24:13

looking for new places to live and

24:15

a really interesting example that we can

24:17

see day is in Will the Beast, which

24:20

move in these huge herds across

24:22

hundreds of miles, and

24:24

it seems like they do this in

24:27

response to the weather. It looks

24:29

very

24:29

chaotic up close. These

24:32

enormous herds sweeping across the

24:34

landscape, but if you the

24:36

patterns, it appears that they know where

24:38

to find the luscious grass,

24:40

which grows shortly after

24:41

storms and heavy rains.

24:45

Chris Watson is a wildlife sound

24:47

recordist who has worked on many of the

24:49

BBC's blue chip natural

24:51

history series. Alongside presenters

24:53

such as Sir David Attenborough.

24:57

Over the

24:57

years, I've had many trips

24:59

to the short to grass plains of

25:01

the Massaimara in East Africa

25:03

and Kenya. And

25:05

one of the the

25:06

greatest pieces of behavior

25:09

that that that I've ever witnessed

25:11

is the annual wildebeast

25:14

migration. That's great. Circled

25:16

of life as the wildebeast follow

25:19

the

25:19

new grass and follow the

25:21

food supply as the rains

25:23

carry them around crossed from Kenya

25:26

into Tanzania and then returning

25:28

backwards and forwards across the

25:30

river basin. If

25:32

you look closely at the Willoughby's

25:34

herd, it fills your field of

25:36

view that you can't hear much else

25:38

because of this and rumble that the

25:40

animals communicating in the sound of

25:42

the

25:43

hooves. The

25:52

Rivermark

25:56

present a significant obstacle

25:59

to Willeby's and

25:59

it's a place where they gather in

26:02

their tens and hundreds

26:04

of thousands because crossing the river

26:06

wire is probably the

26:08

most dangerous activity in

26:10

their lives because they

26:12

are preyed upon by

26:14

nile crookedials which inhabit

26:16

the river and wait.

26:36

The only

26:36

way to get close of sound is

26:38

to get the microphones in close.

26:40

So I spent lots

26:42

of time over the years, sort

26:44

of perfecting various techniques, some

26:47

more successful than others. By

26:49

fixing microphones, in places by

26:50

the water's edge on the river Mara or

26:53

in some of the croton thickets, the

26:55

the short vegetation, the

26:57

very stout, sturdy vegetation.

26:59

It's a place where wilderbeast

27:02

wouldn't normally charge through

27:04

because the vegetation is

27:06

very tough. Like very sharp thorns and might have to

27:08

do this in several places and then

27:10

run very long cables, one

27:12

hundred, two hundred meters back to

27:14

our vehicle. But then, of course, to

27:16

bury the cables because they

27:18

will be used with their hooves or other

27:20

animals, grass, squirrels can often

27:22

dig them up.

27:26

It

27:26

can be really satisfying listening back

27:28

to a recording because the power of sound

27:30

just takes me straight back to that place.

27:32

But

27:34

the

27:36

most important thing, most powerful thing, I

27:38

think is stimulates our

27:41

memory and imagination.

27:46

the

28:05

The BBC Earth podcast was hosted

28:08

by me, Rutendo Shackleton.

28:10

And

28:10

me, Sabashna Chaveri.

28:12

Many

28:12

thanks to all our interviewees.

28:15

Liam Crawley, Caroline Howard,

28:17

and

28:17

Mark Blackster from the Darwin Tree

28:19

of Life Project. Mario

28:21

Pessendorfer for his interview about murmurations

28:25

and Chris Watson for his interview

28:27

and the recordings of migrating Wildo

28:29

Beast. The producers are

28:31

Jeff Marsh and Rachel Byrne. The

28:33

researcher is sebormasters. The

28:36

podcast theme music was composed by

28:38

Axel

28:38

Kukutie and mixing

28:40

an additional sound design were done by Peregrine

28:42

and true. The

28:43

production manager is Katherine Stringer and

28:46

the production coordinator is Jemma

28:48

Watson. The

28:48

associate producer is Kristen Kane

28:50

and the executive producer is Deborah

28:52

Dudgeon. The BBC Earth podcast was

28:54

a BBC studio's production for

28:57

BBC Earth.

Unlock more with Podchaser Pro

  • Audience Insights
  • Contact Information
  • Demographics
  • Charts
  • Sponsor History
  • and More!
Pro Features