Episode Transcript
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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.
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