Tierney Thys: Swim with giant sunfish in the open ocean

107,634 views ใƒป 2007-05-24

TED


์•„๋ž˜ ์˜๋ฌธ์ž๋ง‰์„ ๋”๋ธ”ํด๋ฆญํ•˜์‹œ๋ฉด ์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค.

๋ฒˆ์—ญ: Da won Jung ๊ฒ€ํ† : InHyuk Song
00:25
I'd like to start tonight by something completely different,
0
25000
4000
์ €๋Š” ์ด๋‚  ๋ฐค ์•„์ฃผ ๋‹ค๋ฅธ๊ฒƒ์œผ๋กœ ์‹œ์ž‘ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค,
00:29
asking you to join me by stepping off the land
1
29000
4000
์œก์ง€์—์„œ ๋ฐœ์„ ๋–ผ๊ณ ,
00:33
and jumping into the open ocean for a moment.
2
33000
5000
์ž ๊น๋™์•ˆ ๋ฐ”๋‹ค๋กœ ํ•œ ๋ฒˆ ๋›ฐ์–ด ๋“ค์–ด ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.
00:38
90 percent of the living space on the planet is in the open ocean,
3
38000
5000
์ง€๊ตฌ์—์žˆ๋Š” ์‚ด์ˆ˜์žˆ๋Š” ๊ณต๊ฐ„์˜ 90ํผ์„ผํŠธ์˜ ๊ณต๊ฐ„์€ ๋ฐ”๋‹ค์— ์žˆ์Šต๋‹ˆ๋‹ค.
00:43
and it's where life -- the title of our seminar tonight -- it's where life began.
4
43000
5000
๊ทธ๋ฆฌ๊ณ  ๊ทธ๊ณณ์€ ์ƒ๋ช…์ด--์˜ค๋Š˜ ์„ธ๋ฏธ๋‚˜์˜ ์ œ๋ชฉ์ด์ฃ --๊ทธ๊ณณ์€ ์ƒ๋ช…์ด ์‹œ์ž‘๋œ ๊ณณ์ž…๋‹ˆ๋‹ค.
00:48
And it's a lively and a lovely place,
5
48000
3000
์•„์ฃผ ํ™”๋ คํ•˜๊ณ  ๋ฉ‹์ง„ ๊ณณ์ž…๋‹ˆ๋‹ค.
00:51
but we're rapidly changing the oceans with our --
6
51000
4000
ํ•˜์ง€๋งŒ ์šฐ๋ฆฌ๋Š” ๋ฐ”๋‹ค๋ฅผ ๋น ๋ฅด๊ฒŒ ๋ณ€ํ™”์‹œํ‚ค๊ณ  ์žˆ์ฃ . ์šฐ๋ฆฌ์˜--
00:55
not only with our overfishing, our irresponsible fishing,
7
55000
5000
์šฐ๋ฆฌ์˜ ๋ฌด์ ˆ์ œํ•œ ๊ณ ๊ธฐ์žก์ด ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ,
01:00
our adding of pollutants like fertilizer from our cropland,
8
60000
5000
๋†์‚ฌ์ง€์—ญ์˜ ๋น„๋ฃŒ๊ฐ™์€ ์˜ค์—ผ๋ฌผ์งˆ์˜ ์ฆ๊ฐ€ ๋•Œ๋ฌธ์ด์ฃ .
01:05
but also, most recently, with climate change,
9
65000
2000
ํ•˜์ง€๋งŒ ์ตœ๊ทผ์—, ๊ธฐํ›„๋ณ€ํ™”์— ์˜ํ•ด,
01:07
and Steve Schneider, I'm sure, will be going into greater detail on this.
10
67000
3000
๊ทธ๋ฆฌ๊ณ  ์Šคํ‹ฐ๋ธŒ ์Šค๋‹ˆ๋”๋Š”, ๋ฌผ๋ก , ์ด์— ๋Œ€ํ•ด ๋” ์ž์„ธํžˆ ์–˜๊ธฐ ํ• ๊ฒƒ์ž…๋‹ˆ๋‹ค๋งŒ.
01:10
Now, as we continue to tinker with the oceans,
11
70000
3000
์ž,์šฐ๋ฆฌ๊ฐ€ ํ•ด์–‘์— ๋Œ€ํ•ด ๋…ผ์˜๋ฅผ ๊ณ„์†ํ•˜๋ฉฐ
01:13
more and more reports are predicting that the kinds of seas that we're creating
12
73000
5000
๋งŽ์€ ๋ณด๊ณ ์„œ๋“ค์˜ ์ถ”์ธก์— ๋”ฐ๋ฅด๋ฉด ์šฐ๋ฆฌ๊ฐ€ ๋ณ€ํ™”์‹œํ‚ค๊ณ  ์žˆ๋Š” ๋ฐ”๋‹ค๊ฐ€
01:18
will be conducive to low-energy type of animals, like jellyfish and bacteria.
13
78000
5000
ํ•ดํŒŒ๋ฆฌ๋‚˜ ๋ฐ•ํ…Œ๋ฆฌ์•„๋“ค์˜ ์ €-์—๋„ˆ์ง€ ํƒ€์ž…์˜ ๋™๋ฌผ๋“ค์—๊ฒŒ ๋„์›€์ด ๋  ๊ฒƒ์ด๋ผ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค
01:23
And this might be the kind of seas we're headed for.
14
83000
3000
๊ทธ๋ฆฌ๊ณ  ์šฐ๋ฆฌ๋Š” ์ด๋Ÿฐ ๋ฐ”๋‹ค๋กœ ํ–ฅํ•ด ๊ฐ€๊ณ ์žˆ๋Š” ๊ฒƒ์ผ์ง€๋„ ๋ชจ๋ฆ…๋‹ˆ๋‹ค.
01:26
Now jellyfish are strangely hypnotic and beautiful,
15
86000
4000
์ž,ํ•ดํŒŒ๋ฆฌ๋Š” ์‹ ๋น„ํ•œ ์ตœ๋ฉด์˜ ์ƒํƒœ์˜ ์•„๋ฆ„๋‹ค์›€์ด ์žˆ๋Š” ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค.
01:30
and you'll see lots of gorgeous ones at the aquarium on Friday,
16
90000
5000
๊ทธ๋ฆฌ๊ณ  ์—ฌ๋Ÿฌ๋ถ„์€ ๊ทธ ๋ฉ‹์ง„ ๊ด‘๊ฒฝ์„ ๊ธˆ์š”์ผ๋‚  ์ˆ˜์กฑ๊ด€์—์„œ ๋ณผ์ˆ˜ ์žˆ์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค,
01:35
but they sting like hell, and jellyfish sushi and sashimi
17
95000
5000
ํ•˜์ง€๋งŒ ์ง€์˜ฅ๊ฐ™์€ ์นจ์„์˜์ฃ ,๊ทธ๋ฆฌ๊ณ  ํ•ดํŒŒ๋ฆฌ ์Šค์‹œ์™€ ์‚ฌ์‹œ๋ฏธ๋กœ๋Š”
01:40
is just not going to fill you up.
18
100000
2000
๋‹น์‹ ์˜ ๋ฐฐ๋ฅผ์ฑ„์šฐ์ง„ ๋ชปํ•  ๊ฒƒ๊ฐ™๊ตฐ์š”.
01:42
About 100 grams of jellyfish equals four calories.
19
102000
5000
ํ•œ 100๊ทธ๋žจ์˜ ํ•ดํŒŒ๋ฆฌ๊ฐ€ 4์นผ๋กœ๋ฆฌ ์ •๋„ ๋œ๋‹ต๋‹ˆ๋‹ค.
01:47
So it may be good for the waistline,
20
107000
2000
ํ—ˆ๋ฆฌ๋‘˜๋ ˆ์—๋Š” ์ข‹๊ฒ ์ฃ .
01:49
but it probably won't keep you satiated for very long.
21
109000
3000
ํ•˜์ง€๋งŒ ์—ฌ๋Ÿฌ๋ถ„์„ ์˜ค๋žซ๋™์•ˆ ๋งŒ์กฑ์‹œํ‚ค์ง„ ๋ชปํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
01:52
And a sea that's just filled and teeming with jellyfish
22
112000
5000
๊ทธ๋ฆฌ๊ณ  ํ•ดํŒŒ๋ฆฌ๋กœ ์ฐจ์„œ ๋“์‹ค๊ฑฐ๋ฆฌ๋Š” ๋ฐ”๋‹ค๋Š”
01:57
isn't very good for all the other creatures that live in the oceans,
23
117000
3000
๋‹ค๋ฅธ ๋ฐ”๋‹ค์ƒ๋ฌผ์ด ์‚ด๊ธฐ์— ์–ด๋ ต์Šต๋‹ˆ๋‹ค,
02:00
that is, unless you eat jellyfish.
24
120000
3000
์ฆ‰, ํ•ดํŒŒ๋ฆฌ๋ฅผ ๋จน์ง€ ์•Š๋Š” ์ด์ƒ์€ ๋ง์ด์ฃ 
02:03
And this is this voracious predator launching a sneak attack
25
123000
4000
๊ทธ๋ฆฌ๊ณ  ์ด ๊ฐœ๊ฑธ์Šค๋Ÿฌ์šด ํฌ์‹์ž๋Š” ๋งค๋ณต์ ‘๊ทผ์„ ์‹œ๋„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค
02:07
on this poor little unsuspecting jellyfish there, a by-the-wind sailor.
26
127000
4000
๋ถˆ์Œํ•˜๊ณ  ์ž‘์€ ์ด ๋ˆˆ์น˜์—†๋Š” ๋†ˆ์—๊ฒŒ ๋ง์ž…๋‹ˆ๋‹ค. ๋ฐ”๋žŒ์„ ํƒ€๊ณ  ์˜จ ํ•ญํ•ด์ž๋ผ๊ณ  ํ• ๊นŒ์š”,,,
02:11
And that predator is the giant ocean sunfish, the Mola mola,
27
131000
4000
๊ทธ๋ฆฌ๊ณ  ์ € ํฌ์‹์ž๊ฐ€ ๋ฐ”๋กœ ์—„์ฒญ๋‚œ ๊ฐœ๋ณต์น˜,๋ชฐ๋ผ๋ชฐ๋ผ์ž…๋‹ˆ๋‹ค.
02:17
whose primary prey are jellyfish.
28
137000
3000
๊ทธ๋†ˆ๋“ค์˜ ์ฃผ์‹์ด ํ•ดํŒŒ๋ฆฌ์ฃ .
02:20
This animal is in "The Guinness World Book of Records"
29
140000
2000
์ด ๋™๋ฌผ์€ "๊ธฐ๋„ค์Šค๋ถ ๊ธฐ๋ก"์— ์˜ฌ๋ ค์žˆ์Šต๋‹ˆ๋‹ค.
02:22
for being the world's heaviest bony fish.
30
142000
2000
์„ธ๊ณ„์—์„œ ๊ฐ€์žฅ ๋ฌด๊ฑฐ์šด ๋ผˆ์žˆ๋Š” ๋ฌผ๊ณ ๊ธฐ๋กœ์š”.
02:24
It reaches up to almost 5,000 pounds -- on a diet of jellyfish, primarily.
31
144000
7000
๋ฌด๊ฒŒ๋Š” ๊ฑฐ์˜ 5000ํŒŒ์šด๋“œ์— ๋‹ฌํ•˜๊ณ  -- ํ•ดํŒŒ๋ฆฌ๋ฅผ ์ฃผ์‹์œผ๋กœ ํ•ฉ๋‹ˆ๋‹ค.
02:31
And I think it's kind of a nice little cosmological convergence here
32
151000
4000
์ œ ์ƒ๊ฐ์— ์ด๊ณณ์€ ๊ดœ์ฐฎ์€ ์ž‘์€ ์šฐ์ฃผ์  ์œตํ•ฉ ์ง€์ ์ด๋ผ๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค
02:35
that the Mola mola -- its common name is sunfish --
33
155000
3000
๋ชฐ๋ผ๋ชฐ๋ผ๊ฐ€ -- ํ”ํ•œ์ด๋ฆ„์€ ๊ฐœ๋ณต์น˜๊ณ ์š” --(์˜์–ด์ด๋ฆ„์„ ๊ทธ๋Œ€๋กœ ๋ฒˆ์—ญํ•˜๋ฉด ํƒœ์–‘ ๋ฌผ๊ณ ๊ธฐ)
02:38
that its favorite food is the moon jelly.
34
158000
4000
์ œ์ผ ์ข‹์•„ํ•˜๋Š” ์Œ์‹์ด ํ•ดํŒŒ๋ฆฌ์ž…๋‹ˆ๋‹ค
02:42
So it's kind of nice, the sun and the moon getting together this way,
35
162000
4000
๊ทธ๋ž˜์„œ ๊ฝค ๊ดœ์ฐฎ์ฃ , ํ•ด์™€ ๋‹ฌ์ด ๊ฐ™์ด์žˆ๋Š”๊ฒƒ,
02:46
even if one is eating the other.
36
166000
3000
ํ•œ๋ช…์ด ๋‹ค๋ฅธํ•œ๋ช…์„ ๋จน๋”๋ผ๋„.
02:51
Now this is typically how you see sunfish,
37
171000
3000
์ž,์ด๊ฒŒ ์ „ํ˜•์ ์œผ๋กœ ๊ฐœ๋ณต์น˜๋ฅผ ๋ณด๋Š” ๋ฐฉ๋ฒ•์ด์—์š”,
02:54
this is where they get their common name.
38
174000
2000
์ด๊ฒŒ ๊ทธ๊ฒƒ๋“ค์˜ ์ด๋ฆ„์„ ๊ฐ–๋Š” ์ด์œ ์—์š”.
02:56
They like to sunbathe, can't blame them.
39
176000
2000
์„ ํƒ ํ•˜๋Š”๊ฒƒ์„ ์ข‹์•„ํ•˜์ฃ , ๋ญ๋ผํ• ์ˆ˜์—†์–ด์š”.
02:58
They just lay out on the surface of the sea
40
178000
3000
๊ทธ๋ƒฅ ํ•ด์ˆ˜๋ฉด์— ๋ˆ„์›Œ์žˆ์–ด์š”
03:01
and most people think they're sick or lazy, but that's a typical behavior,
41
181000
4000
๊ทธ๋ฆฌ๊ณ  ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์ด ๊ทธ๋“ค์˜ ํ–‰๋™๋•Œ๋ฌธ์—,๊ฒŒ์œผ๋ฅด๊ฑฐ๋‚˜ ์•„ํ”„๋‹ค๊ณ  ์ƒ๊ฐํ•ด์š”
03:05
they lie out and bask on the surface.
42
185000
3000
๊ทธ๋ƒฅ ์ˆ˜๋ฉด์œ„์— ๋ˆ„์›Œ์„œ ํ•ด๋ฅผ ์ฆ๊ธฐ๋Š”๊ฑฐ์ฃ .
03:08
Their other name, Mola mola, is -- it sounds Hawaiian,
43
188000
3000
๊ฐœ๋ณต์น˜์˜ ๋‹ค๋ฅธ์ด๋ฆ„,๋ชฐ๋ผ๋ชฐ๋ผ,๋Š” ํ•˜์™€์ด ์ด๋ฆ„๊ฐ™์ฃ ,
03:11
but it's actually Latin for millstone,
44
191000
3000
๋งท๋Œ์˜ ๋ผํ‹ด์–ด๋ž๋‹ˆ๋‹ค,
03:14
and that's attributable to their roundish, very bizarre, cut-off shape.
45
194000
6000
๊ทธ๊ฒƒ๋“ค์˜ ๋™๊ทธ๋ž€ ๋“ฏํ•œ,์ด์ƒํ•˜๊ฒŒ ์ž˜๋ฆฐ ๋ชจ์–‘๊ณผ ์–ด์šธ๋ฆฌ์ฃ .
03:20
It's as if, as they were growing, they just forgot the tail part.
46
200000
4000
๊ทธ๋“ค์ด ์ž๋ผ๋ฉด์„œ ๊ผฌ๋ฆฌ๋ถ€๋ถ„์„ ๊นŒ๋จน์€๊ฒƒ ๊ฐ™์•„์š”.
03:24
And that's actually what drew me to the Mola in the first place,
47
204000
4000
๊ทธ๋ฆฌ๊ณ  ๊ทธ๊ฒŒ ์ฒ˜์Œ๋ถ€ํ„ฐ ์ œ๊ฐ€ ๋ชฐ๋ผ์—๊ฒŒ ๊ด€์‹ฌ์„ ๊ฐ–๊ฒŒ๋œ ๊ณ„๊ธฐ์—์š”.
03:28
was this terribly bizarre shape.
48
208000
2000
์ด ๊ธฐ๊ดดํ•œ ๋ชจ์–‘๋•Œ๋ฌธ์— ๋ง์ด์ฃ 
03:31
You know, you look at sharks, and they're streamlined, and they're sleek,
49
211000
5000
์•„๋‚˜์š”? ์ƒ์–ด๋ฅผ ๋ณด๋ฉด, ๋งค๋ˆํ•œ ์œ ์„ ํ˜•์ด์ž–์•„์š”,
03:36
and you look at tuna, and they're like torpedoes --
50
216000
3000
๊ทธ๋ฆฌ๊ณ  ์ฐธ์น˜๋ฅผ ๋ณผ๋•Œ๋ฉด, ์–ด๋ขฐ๊ฐ™๊ณ --
03:39
they just give away their agenda. They're about migration and strength,
51
219000
4000
๊ทธ๋ƒฅ ๊ทธ๋“ค์˜ ์•„์  ๋‹ค๋ฅผ ๋ถ€์—ฌํ•  ๋งŒํ•˜์ฃ . ํž˜๊ณผ ์ด์ฃผ๊ฐ€ ์ƒ๊ฐ๋‚˜์ž–์•„์š”,
03:43
and then you look at the sunfish.
52
223000
3000
๊ทธ๋ฆฌ๊ณ  ๊ฐœ๋ณต์น˜๋ฅผ ๋ด…๋‹ˆ๋‹ค.
03:46
(Laughter)
53
226000
2000
(์›ƒ์Œ)
03:48
And this is just so elegantly mysterious, it's just --
54
228000
7000
์ด๊ฑด ์ง„์งœ ์šฐ์•„ํ•œ ์‹ ๋น„์Šค๋Ÿฌ์›€์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
03:55
it really kind of holds its cards a lot tighter than say, a tuna.
55
235000
4000
์ด๊ฑด,๋งํ•˜์ž๋ฉด,์ฐธ์น˜๋ณด๋‹ค ๋” ์นด๋“œ๋ฅผ ํ™•์‹คํžˆ ์›€์ผœ์žก๊ณ ์žˆ์ž–์•„์š”
04:02
So I was just intrigued with what -- you know, what is this animal's story?
56
242000
5000
์ €๋Š” ๊ทธ.. ๋™๋ฌผ๋“ค์˜ ์ด์•ผ๊ธฐ์— ๋งค๋ฃŒ๊ฐ€ ๋˜์—ˆ์–ด์š”
04:08
Well, as with anything in biology, nothing really makes sense
57
248000
3000
๋ญ, ์ƒ๋ฌผํ•™์ƒ์˜ ์ด์•ผ๊ธฐ๋“ค์€ ์ •๋ง๋กœ ์ดํ•ด๊ฐ€ ๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
04:11
except in the light of evolution.
58
251000
2000
์ง„ํ™”์˜ ๋น›๋งŒ ๋นผ๋ฉด์š”
04:13
The Mola's no exception.
59
253000
2000
๋ชฐ๋ผ๋„ ํฌํ•จํ•ด์„œ์š”.
04:15
They appeared shortly after the dinosaurs disappeared,
60
255000
3000
๊ทธ๋“ค์€ ๊ณต๋ฃก์ด ์—†์–ด์ง€๊ณ  ๋ฐ”๋กœ ์ƒ๊ฒจ๋‚ฌ์–ด์š”.
04:19
65 million years ago, at a time when whales still had legs,
61
259000
4000
65๋…„์ „,๊ณ ๋ž˜๊ฐ€ ๋‹ค๋ฆฌ๊ฐ€ ์žˆ์—ˆ์„ ๋•Œ,
04:23
and they come from a rebellious little puffer fish faction --
62
263000
6000
๊ทธ๋ฆฌ๊ณ  ํ˜๋ช…์ ์ธ ๋ณต์–ด ๊ฐ€์„ค์—์„œ ์˜จ ๊ฒƒ์ด์ฃ  --
04:29
oblige me a little Kipling-esque storytelling here.
63
269000
3000
์—ฌ๊ธฐ์„œ ์กฐ๊ธˆ ์œ ์น˜ํ•œ ์ด์•ผ๊ธฐ๋ฅผ ํ•˜๋Š”๊ฒƒ์„ ์šฉ์„œํ•ด ์ฃผ์„ธ์š”
04:32
Of course evolution is somewhat random, and you know,
64
272000
3000
๋ฌผ๋ก  ํ˜๋ช…์€ ์—ฌ๋Ÿฌ๋ถ„๋„ ์•Œ๋‹ค์‹œํ”ผ ์ข€ ๋ฌด์ž‘์œ„์ ์ด์ฃ .
04:35
about 55 million years ago there was this rebellious little puffer fish faction
65
275000
4000
55๋งŒ๋…„์ •๋„ ์ „ ํ˜๋ช…์ ์ธ ๋ณต์–ด ์†Œ์„ค๊ฐ€์„ค์ด ์žˆ์—ˆ์ฃ 
04:39
that said, oh, the heck with the coral reefs --
66
279000
2000
์•„, ํ•ด์ดˆ๋Š” ๋•Œ๋ ค์น˜์šฐ๊ณ --
04:41
we're going to head to the high seas.
67
281000
2000
๋ฐ”๊นฅ ๋ฐ”๋‹ค๋กœ ๋‚˜์„œ์ž.
04:43
And lots of generations, lots of tweaking and torquing,
68
283000
5000
๊ทธ๋ฆฌ๊ณ  ๋งŽ์€ ํ›„์†๋“ค, ๋งŽ์€ ํ‹ฑํƒ,
04:48
and we turn our puffer into the Mola.
69
288000
2000
๊ทธ๋ฆฌ๊ณ  ๋ณต์–ด๋ฅผ ๋ชฐ๋ผ๋กœ ๋ฐ”๊พธ๋Š”๊ฑฐ์ฃ .
04:50
You know, if you give Mother Nature enough time, that is what she will produce.
70
290000
6000
์ž์—ฐ์—๊ฒŒ ์‹œ๊ฐ„์„ ์ถฉ๋ถ„ํžˆ ์ค€๋‹ค๋ฉด,๊ทธ๊ฒŒ ๊ทธ๋…€๊ฐ€ ๋งŒ๋“ค๊ฒƒ์ž…๋‹ˆ๋‹ค.
04:58
They look -- maybe they look
71
298000
2000
๊ทธ๋“ค์€ ์ด๋ ‡๊ฒŒ--์–ด์ฉŒ๋ฉด ๊ทธ๋“ค์€
05:00
kind of prehistoric and unfinished, abridged perhaps,
72
300000
4000
์›์‹œ์ ์ด๊ณ  ๋ฏธ์™„์„ฑ,์š”์•ฝ๋œ ๋“ฏ์ด ๋ณด์ด์ง€๋งŒ
05:04
but in fact, in fact they are the --
73
304000
4000
ํ•˜์ง€๋งŒ,๊ทธ๋“ค์€
05:08
they vie for the top position of the most evolutionarily-derived fish in the sea,
74
308000
6000
๊ฐ€์žฅ ์˜ค๋žœ ์ง„ํ™” ๊ณผ์ •์„ ๊ฒช์€ ๋ฌผ๊ณ ๊ธฐ์˜ ์ตœ๊ณ  ์ž๋ฆฌ๋ฅผ ๋„˜๋ด…๋‹ˆ๋‹ค
05:14
right up there with flat fish.
75
314000
3000
๋‚ฉ์ž‘์ƒ์„ ๊ณผ ํ•จ๊ป˜
05:17
They're -- every single thing about that fish has been changed.
76
317000
4000
๋ณ€ํ•œ ๊ฒƒ์ด๋ผ๊ณค ํ•˜๋‚˜ ๋ฐ–์— ์—†์ฃ 
05:21
And in terms of fishes --
77
321000
2000
๋ฌผ๊ณ ๊ธฐ์— ๊ด€ํ•ด์„œ ๋ณด๋ฉด
05:23
fishes appeared 500 million years ago, and they're pretty modern,
78
323000
6000
๋ฌผ๊ณ ๊ธฐ๋Š” 500๋งŒ๋…„์ „ ์ƒ๊ฒจ๋‚ฌ์ฃ ,๊ทธ๋“ค์€ ๊ฝค ํ˜„๋Œ€์ ์ž…๋‹ˆ๋‹ค,
05:29
just 50 million years ago, so --
79
329000
2000
๊ฒจ์šฐ50๋งŒ๋…„์ „,๊ทธ๋ž˜์„œ--
05:33
so interestingly, they give away their ancestry as they develop.
80
333000
5000
๊ทธ๋ž˜์„œ ํฅ๋ฏธ๋กญ๊ฒŒ๋„,์ง„ํ™”ํ•˜๋ฉด์„œ ์ดˆ๊ธฐ์˜ ํŠน์„ฑ์„ ์žƒ์Šต๋‹ˆ๋‹ค.
05:38
They start as little eggs,
81
338000
2000
์ž‘์€์•Œ๋กœ ์‹œ์ž‘ํ•˜๊ณ 
05:40
and they're in "The Guinness World Book of Records" again
82
340000
2000
๋˜'๊ธฐ๋„ค์Šค๋ถ'์— ์˜ค๋ฅด์ฃ 
05:42
for having the most number of eggs of any vertebrate on the planet.
83
342000
4000
์„ธ์ƒ์—์„œ ์ œ์ผ ๋งŽ์€ ์•Œ์„ ๋‚ณ์€๊ฒƒ์œผ๋กœ
05:46
A single four-foot female had 300 million eggs,
84
346000
6000
300๋งŒ๊ฐœ์˜ ์•Œ์„ ๋‚ณ๋Š” 4 ํ”ผํŠธ์งœ๋ฆฌ ์•”์ปท์ด,
05:52
can carry 300 million eggs in her ovaries -- imagine --
85
352000
3000
300๋งŒ๊ฐœ์˜ ์•Œ์„ ์ฃผ๋จธ๋‹ˆ์†์— ๋‹ด์„์ˆ˜ ์žˆ๋‹ต๋‹ˆ๋‹ค.--์ƒ์ƒ์ด๋˜์„ธ์š”?-
05:55
and they get to be over 10 feet long. Imagine what a 10 foot one has.
86
355000
5000
๊ทธ๋ฆฌ๊ณ  10ํ”ผํŠธ์ •๋„ ๊ธธ์ด๊ฐ€ ๋˜๋Š”๋ฐ์š”,10ํ”ผํŠธ์งœ๋ฆฌ ์‚ฌ๋žŒ์„ ์ƒ๊ฐํ•ด ๋ณด์„ธ์š”.
06:00
And from that little egg,
87
360000
2000
๊ทธ ์ž‘์€ ์•Œ์—์„œ,
06:02
they pass through this spiky little porcupine fish stage, reminiscent of their ancestry,
88
362000
5000
์ด ๋พฐ์กฑํ•œ ๊ณ ์Šด๋„์น˜ ๋ฌผ๊ณ ๊ธฐ์ƒํƒœ๋ฅผ ์ง€๋‚˜,์ž๊ธฐ ์กฐ์ƒ๋“ค์˜ ๋ชจ์Šต์œผ๋กœ,
06:07
and develop -- this is their little adolescent stage.
89
367000
3000
์ž๋ผ์ฃ --์ด๊ฒŒ ์‹ญ๋Œ€ ์ƒํƒœ์ž…๋‹ˆ๋‹ค.
06:10
They school as adolescents, and become behemoth loners as adults.
90
370000
7000
10๋Œ€์—๋Š” ์ด๋ ‡๊ฒŒ ๋ชฐ๋ ค๋‹ค๋‹ˆ๊ณ , ์–ด๋ฅธ์ด ๋˜์–ด์„œ๋Š” ํ˜ผ์ž์‚ด์ฃ .
06:17
That's a little diver up there in the corner.
91
377000
2000
์—ฌ๊ธฐ๊ตฌ์„์— ์ž‘์€ ๋‹ค์ด๋ฒ„๊ฐ€ ์žˆ๋„ค์š”
06:20
They're in "The Guinness World Book of Records" again
92
380000
3000
์ด๋“ค์€ "๊ธฐ๋„ค์Šค ๋ถ"์— ๋‹ค์‹œ ์˜ฌ๋ž์–ด์š”,
06:23
for being the vertebrate growth champion of the world.
93
383000
3000
๊ฐ€์žฅ ํฐ ์ฒ™์ถ”๋™๋ฌผ ์„ธ๊ณ„์˜ ์ฑ”ํ”ผ์–ธ์œผ๋กœ์š”.
06:26
From their little hatching size of their egg, into their little larval stage
94
386000
4000
๊ทธ๋“ค์˜ ์ž‘์€ ๋ถ€ํ™”์‚ฌ์ด์ฆˆ์ธ ์•Œ์—์„œ, ์ž‘์€ ๋ฏธ์ˆ™ํ•œ ๋‹จ๊ณ„๋กœ
06:30
till they reach adulthood, they put on 600 million times an increase in weight.
95
390000
6000
์„ฑ์–ด๊ฐ€ ๋ ๋•Œ๊นŒ์ง€,600๋งŒ๋ฒˆ์ด๋‚˜ ๋ฌด๊ฒŒ๊ฐ€ ๋Šก๋‹ˆ๋‹ค.
06:36
600 million. Now imagine if you gave birth to a little baby,
96
396000
6000
600๋งŒ.์ž ๋‹น์‹ ์ด ์•„๊ธฐ๋ฅผ ๋‚ณ์•˜๋‹ค๊ณ  ์ƒ์ƒํ•ด๋ณด์„ธ์š”.
06:42
and you had to feed this thing.
97
402000
3000
๊ทธ๋ฆฌ๊ณ  ๊ทธ๊ฒƒ์„ ๋จน์ด๊ณ ์š”.
06:46
That would mean that your child, you would expect it to gain the weight of six Titanics.
98
406000
5000
๊ทธ๊ฒƒ์€ ๋‹น์‹ ์˜ ์•„์ด๊ฐ€,์—ฌ์„ฏ๊ฐœ์˜ ํƒ€์ดํƒ€๋‹‰๋งŒํผ ๋ฌด๊ฑฐ์›Œ์งˆ๊ฑฐ๋ผ๊ณ  ๊ธฐ๋Œ€ํ•˜๋Š”๊ฑฐ์ฃ .
06:53
Now I don't know how you'd feed a child like that but --
99
413000
3000
์ž,์ „ ์–ด๋–ป๊ฒŒ ๊ทธ๋ ‡๊ฒŒ ์•„์ด๋ฅผ ๋จน์ด๋Š”์ง€๋Š” ๋ชจ๋ฅด์ง€๋งŒ--
06:56
we don't know how fast the Molas grow in the wild,
100
416000
6000
์šฐ๋ฆฌ๋Š” ๋ชฐ๋ผ(๊ฐœ๋ณต์น˜)๊ฐ€ ์•ผ์ƒ์—์„œ ์–ด๋–ป๊ฒŒ ๋นจ๋ฆฌ ํฌ๋Š”์งˆ ๋ชจ๋ฅด์ฃ .
07:02
but captive growth studies at the Monterey Bay Aquarium --
101
422000
3000
์‚ฌ์œก ์„ฑ์žฅ ์—ฐ๊ตฌ๋ฅผ ํ•œ ๋ชจํ„ฐ๋ฆฌ ํ•ด์•ˆ์ˆ˜์กฑ๊ด€--
07:05
one of the first places to have them in captivity --
102
425000
2000
๋ชฐ๋ผ๋ฅผ ์ฒ˜์Œ ์‚ฌ์œกํ•œ๊ณณ ์ค‘ํ•˜๋‚˜์ธ--
07:07
they had one that gained 800 lbs in 14 months.
103
427000
4000
๊ทธ๋“ค์€ 14๊ฐœ์›”๋™์•ˆ 800ํŒŒ์šด๋“œ๋‚˜ ๋Š˜์–ด๋‚ฌ์Šต๋‹ˆ๋‹ค.
07:11
I said, now, that's a true American.
104
431000
3000
์ €๋Š” ๋งํ–‡์ฃ .์ž,์ฐธ๋œ ๋ฏธ๊ตญ์ธ์ด๊ตฐ.
07:14
(Laughter)
105
434000
4000
(์›ƒ์Œ)
07:18
(Applause)
106
438000
2000
(๋ฐ•์ˆ˜)
07:20
So being a loner is a great thing, especially in today's seas,
107
440000
4000
ํ˜ผ์ž ์‚ฐ๋‹ค๋Š” ๊ฒƒ์€ ์—„์ฒญ๋‚˜๊ฑฐ์ฃ ,ํŠนํžˆ ์š”์ฆ˜ ๋ฐ”๋‹ค์—์„œ๋Š”์š”
07:24
because schooling used to be salvation for fishes,
108
444000
3000
์™œ๋ƒํ•˜๋ฉด ๋ฌด๋ฆฌ๋กœ ๋‹ค๋‹ˆ๋Š”๊ฒƒ์€ ์‚ด์•„๋‚จ๊ธฐ ์œ„ํ•œ ๊ฒƒ์ด์—ˆ์–ด์š”,
07:27
but it's suicide for fishes now.
109
447000
3000
ํ•˜์ง€๋งŒ ์ด์   ์ž์‚ดํ–‰์œ„์ฃ .
07:30
But unfortunately Molas, even though they don't school,
110
450000
2000
ํ•˜์ง€๋งŒ ๋ชฐ๋ผ๋“ค์€, ๋–ผ์ง€์–ด ๋‹ค๋‹ˆ์ง€ ์•Š์•„๋„,
07:32
they still get caught in nets as by-catch.
111
452000
2000
๊ทธ๋ฌผ์— ๊ฑธ๋ฆฌ๊ณค ํ•ฉ๋‹ˆ๋‹ค
07:34
If we're going to save the world from total jellyfish domination,
112
454000
5000
ํ•ดํŒŒ๋ฆฌ ์ •๋ณต์œผ๋กœ๋ถ€ํ„ฐ ์„ธ์ƒ์„ ๊ตฌํ•˜๊ณ ์‹ถ๋‹ค๋ฉด,
07:39
then we've got to figure out what the jellyfish predators --
113
459000
2000
ํ•ดํŒŒ๋ฆฌ์˜ ํฌ์‹์ž๋กœ๋ถ€ํ„ฐ
07:41
how they live their lives, like the Mola.
114
461000
2000
์–ด๋–ป๊ฒŒ ์‚ด์•„๊ฐ€๋Š”์ง€ ์•Œ์•„๋ด…์‹œ๋‹ค.
07:43
And unfortunately, they make up a large portion of the California by-catch --
115
463000
5000
์ด๋“ค์€ ๋ถˆํ–‰ํžˆ๋„,์บ˜๋ฆฌํฌ๋‹ˆ์•„์—์„œ ์žกํžˆ๋Š” ๋น„์œจ์ด ํฌ๋‹ต๋‹ˆ๋‹ค.
07:48
up to 26 percent of the drift net.
116
468000
2000
๊ทธ๋ฌผ์— ๊ฑธ๋ฆฌ๋Š”๊ฒƒ์ด 26ํผ์„ผํŠธ๋‚˜ ๋˜์ฃ .
07:50
And in the Mediterranean, in the swordfish net fisheries,
117
470000
5000
๊ทธ๋ฆฌ๊ณ  ์ง€์ค‘ํ•ด์—, ํ™ฉ์ƒˆ์น˜ ๊ทธ๋ฌผ์–ด์—…์—์„œ๋Š”
07:55
they make up up to 90 percent.
118
475000
3000
90ํผ์„ผํŠธ๋‚˜ ๊ฑธ๋ฆฌ์ฃ .
07:59
So we've got to figure out how they're living their lives.
119
479000
3000
๊ทธ๋ž˜์„œ ์–ด๋–ป๊ฒŒ ์‚ด์•„๊ฐ€๋Š”์ง€ ๋ฐฐ์›Œ์•ผ ํ•ฉ๋‹ˆ๋‹ค.
08:02
And how do you do that?
120
482000
2000
์–ด๋–ป๊ฒŒ ํ•˜์ฃ ?
08:04
How do you do that with an animal -- very few places in the world.
121
484000
3000
์–ด๋–ป๊ฒŒ ์•„์ฃผ ์ ๊ฒŒ ๋ถ„ํฌํ•˜๋Š” ๋™๋ฌผ๋กœ ์•Œ์•„๋ณผ ์ˆ˜ ์žˆ์„๊นŒ์š”
08:07
This is an open ocean creature. It knows no boundaries -- it doesn't go to land.
122
487000
4000
์ด๊ฑด ์—ด๋ฆฐ ๋Œ€์–‘์˜ ํ”ผ์กฐ๋ฌผ์ด์ฃ . ๊ฒฝ๊ณ„์„ ์ด ์—†์Šต๋‹ˆ๋‹ค--์œก์ง€๋กœ ์•ˆ๊ฐ€๋‹ˆ๊นŒ์š”.
08:11
How do you get insight?
123
491000
2000
์–ด๋–ป๊ฒŒ ์•Œ ์ˆ˜ ์žˆ์„๊นŒ์š”?
08:13
How do you seduce an open ocean creature like that to spill its secrets?
124
493000
5000
์–ด๋–ป๊ฒŒ ๋ฐ”๋‹ค์ƒ๋ฌผ์˜ ๋น„๋ฐ€์„ ํ„ธ์–ด๋†“์„์ˆ˜์žˆ๋„๋ก ์†์ด์ฃ ?
08:18
Well, there's some great new technology
125
498000
3000
์—„์ฒญ๋‚œ ์ƒˆ๋กœ์šด ๊ธฐ์ˆ ์ด์žˆ์–ด์š”
08:21
that has just recently become available,
126
501000
2000
์š”์ฆ˜ ๋ฐœ๋ช…๋˜์—ˆ๋Š”๋ฐ์š”.
08:23
and it's just a boon for getting insight into open ocean animals.
127
503000
4000
๋ฐ”๋‹ค๋ฅผ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ๋Š” ์œ ์šฉํ•œ ๋ฌผ๊ฑด์ด์ฃ 
08:27
And it's pictured right here, that little tag up there.
128
507000
4000
์—ฌ๊ธฐ ์ฐํ˜€์žˆ๋„ค์š”.์ € ์ž‘์€ ํƒœ๊ทธ์š”.
08:31
That little tag can record temperature, depth and light intensity,
129
511000
5000
์ € ์ž‘์€ ํƒœ๊ทธ๊ฐ€ ์˜จ๋„, ์ˆ˜์‹ฌ, ๋ฐ๊ธฐ ์ •๋„ ๋“ฑ์˜ ์ •๋ณด๋ฅผ ์ €์žฅํ•  ์ˆ˜ ์žˆ์ฃ 
08:36
which is correlated with time, and from that we can get locations.
130
516000
4000
์‹œ๊ฐ„๊ณผ ์œ„์น˜๊ฐ€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
08:40
And it can record this data for up to two years,
131
520000
4000
์ด๊ฒƒ์€ 2๋…„๊นŒ์ง€์˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋กํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
08:44
and keep it in that tag, release at a pre-programmed time,
132
524000
4000
ํƒœ๊ทธ๋ฅผ ๋ชธ์— ๊ณ„์† ๋‹ฌ๊ณ , ์ •ํ•ด์ง„ ์‹œ๊ฐ„์— ๋‚˜์˜ต๋‹ˆ๋‹ค.
08:48
float to the surface, upload all that data, that whole travelogue,
133
528000
4000
์ˆ˜๋ฉด์œ„๋กœ ๋– ์˜ค๋ฅด๊ณ ,๋ฐ์ดํƒ€๋ฅผ ์—…๋กœ๋“œํ•˜๊ณ ,๊ทธ ๋ชจ๋“  ์—ฌํ–‰๊ธฐ๋ฅผ
08:52
to satellite, which relays it directly to our computers,
134
532000
3000
์œ„์„ฑ์œผ๋กœ ๋ณด๋‚ด๊ณ ,์ปดํ“จํ„ฐ๋กœ ๋ฐ”๋กœ ๋ณด๋‚ด์ฃ 
08:55
and we've got that whole dataset. And we didn't even have --
135
535000
4000
์šฐ๋ฆฌ๋Š” ๊ทธ ๋ชจ๋“  ๋ฐ์ดํƒ€ ์„ธํŠธ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ ,์•„๋ฌด๊ฒƒ๋„ ์•ˆํ•ด๋„--
08:59
we just had to tag the animal and then we went home and you know, sat at our desks.
136
539000
4000
์šฐ๋ฆฐ ๊ทธ๋ƒฅ ๋™๋ฌผ์„ ํƒœ๊ทธํ•˜๊ณ  ์ง‘์— ์™”์ฃ .๊ทธ๋ฆฌ๊ณ  ์•Œ์ฃ ,์šฐ๋ฆฌ ์ฑ…์ƒ์— ์•‰์•˜๊ณ .
09:04
So the great thing about the Mola
137
544000
2000
๋ชฐ๋ผ์˜ ์—„์ฒญ๋‚œ ์ ์€
09:06
is that when we put the tag on them -- if you look up here --
138
546000
3000
์šฐ๋ฆฌ๊ฐ€ ํƒœ๊ทธ๋ฅผ ๋ถ™์ผ๋•Œ์—์š”--์—ฌ๊ธธ ๋ณด์ž–์•„์š”--
09:09
that's streaming off, that's right where we put the tag.
139
549000
2000
๋ฐ”๋กœ ์—ฌ๊ธฐ ๋ถ„์ถœ๋˜๋Š” ๊ณณ์ด ์žˆ์ฃ . ์ด๊ณณ์— ํƒœ๊ทธ๋ฅผ ๋‹ฌ์ฃ 
09:11
And it just so happens that's a parasite hanging off the Mola.
140
551000
4000
๊ธฐ์ƒ์ƒ๋ฌผ์ด ๋ชฐ๋ผ๋ฅผ ๋–จ์–ด์ ธ ๋‚˜์˜ฌ ๋•Œ๊ฐ€ ๋ฐ”๋กœ ๊ทธ ๋•Œ์ฃ 
09:15
Molas are infamous for carrying tons of parasites.
141
555000
3000
๋ชฐ๋ผ๋Š” ์ˆ˜๋งŽ์€ ๊ธฐ์ƒ ์ƒ๋ฌผ์„ ์šด๋ฐ˜ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์•…๋ช…์ด ๋†’์Šต๋‹ˆ๋‹ค.
09:18
They're just parasite hotels; even their parasites have parasites.
142
558000
4000
๋ชฐ๋ผ๋Š” ๊ธฐ์ƒ์ถฉ์˜ ํ˜ธํ…”์ด๋‚˜ ๋งˆ์ฐฌ๊ฐ€์ง€์ฃ . ๊ธฐ์ƒ์ถฉ์€ ๋˜ ๊ธฐ์ƒ์ถฉ์„ ๊ฑฐ๋Š๋ฆฌ์ฃ 
09:22
I think Donne wrote a poem about that.
143
562000
2000
Donne ๊ฐ€ ๊ทธ๊ฒƒ์„ ํ•œ ํŽธ์˜ ์‹œ๋กœ ์ผ๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.
09:24
But they have 40 genera of parasites,
144
564000
3000
40๊ฐ€์ง€์˜ ๊ธฐ์ƒ์ถฉ์ด ๊ฐœ๋ณต์น˜์—๊ฒŒ ๊ธฐ์ƒํ•ฉ๋‹ˆ๋‹ค.
09:27
and so we figured just one more parasite won't be too much of a problem.
145
567000
4000
์šฐ๋ฆฌ๋Š” ๋ญ ๊ธฐ์ƒ์ถฉ ํ•œ ๋งˆ๋ฆฌ ๋” ์‚ฐ๋‹ค๊ณ  ํ•ด์„œ ๋ฌธ์ œ๊ฐ€ ๋  ๋ฐ” ์—†๋‹ค๊ณ  ์ƒ๊ฐํ–ˆ์Šต๋‹ˆ๋‹ค.
09:31
And they happen to be a very good vehicle for carrying oceanographic equipment.
146
571000
5000
๊ฐœ๋ณต์น˜๋Š” ๋ฐ”๋‹ค์—์„œ ๋„๊ตฌ๋ฅผ ๋‚˜๋ฅด๋Š” ์ค‘์š”ํ•œ ์ˆ˜๋‹จ์ด์—ˆ๋˜ ๊ฒƒ์ด์ฃ ..
09:36
They don't seem to mind, so far.
147
576000
2000
์ง€๊ธˆ๊นŒ์ง€๋Š” ์‹ ๊ฒฝ์“ฐ์ง€ ์•Š๋Š” ๊ฒƒ ์ฒ˜๋Ÿผ ๋ณด์ด์ฃ 
09:39
So what are we trying to find out? We're focusing on the Pacific.
148
579000
4000
์šฐ๋ฆฌ๋Š” ๋ฌด์—‡์„ ์ฐพ์•„๋‚ด๋ ค๊ณ  ํ•˜๋Š” ๊ฑธ๊นŒ์š”? ์šฐ๋ฆฌ๋Š” ํƒœํ‰์–‘์„ ์ด›์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ต๋‹ˆ๋‹ค.
09:43
We're tagging on the California coast, and we're tagging over in Taiwan and Japan.
149
583000
4000
์šฐ๋ฆฌ๋Š” ์บ˜๋ฆฌํฌ๋‹ˆ์•„์— ํƒœ๊ทธ์ž‘์—…์„ ํ–ˆ๊ณ  ํƒ€์ด์™„ ์ผ๋ณธ์—๋„ ํ–ˆ์Šต๋‹ˆ๋‹ค.
09:47
And we're interested in how these animals are using the currents,
150
587000
3000
์šฐ๋ฆฌ๋Š” ๊ฐœ๋ณต์น˜๊ฐ€ ํ•ด๋ฅ˜๋ฅผ ์‚ถ์— ์–ด๋–ป๊ฒŒ ์ด์šฉํ•˜๋Š”์ง€ ๊ถ๊ธˆํ•˜๊ณ 
09:50
using temperature, using the open ocean, to live their lives.
151
590000
6000
๊ทธ๋ฆฌ๊ณ  ์˜จ๋„๋‚˜ ๋ฐ”๋‹ค๊ณต๊ฐ„๋“ฑ์„ ๋˜ ์–ด๋–ป๊ฒŒ ์‚ถ์— ์ด์šฉํ•˜๋Š” ์ง€๋„ ๊ถ๊ธˆํ•ด ํ•˜๊ณ  ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
09:56
We'd love to tag in Monterey.
152
596000
2000
์šฐ๋ฆฌ๋Š” ๋ชฌํŠธ๋ ˆ์ด์—์„œ ํƒœ๊ทธ๋ฅผ ๋‹ฌ์•„ ๋ณด๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค.
09:58
Monterey is one of the few places in the world where Molas come in large numbers.
153
598000
4000
๋ชฌํŠธ๋ ˆ์ด๋Š” ๊ฐ€์žฅ ๋งŽ์€ ์ˆ˜์˜ ๊ฐœ๋ณต์น˜๊ฐ€ ์„œ์‹ํ•˜๋Š” ๋ช‡ ์•ˆ ๋˜๋Š” ์žฅ์†Œ ์ค‘์˜ ํ•œ ๊ณณ์ด๊ฑฐ๋“ ์š”
10:02
Not this time of year -- it's more around October.
154
602000
3000
์ด๋ง˜ ๋•Œ ๋ณด๋‹ค๋Š” ํ•œ 10์›” ๊ฒฝ์ฏค
10:05
And we'd love to tag here -- this is an aerial shot of Monterey --
155
605000
3000
์šฐ๋ฆฌ๋Š” ํƒœ๊ทธ๋ฅผ ๋ชฌํƒœ๋‚˜์˜ ์ด ์ง€์—ญ์— ๋‹ฌ๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ๋ชฌํƒœ๋‚˜์˜ ํ•ญ๊ณต ์‚ฌ์ง„์ž…๋‹ˆ๋‹ค.
10:08
but unfortunately, the Molas here end up looking like this
156
608000
4000
์• ์„ํ•˜๊ฒŒ๋„ ๊ฐœ๋ณต์น˜๋Š” ์—ฌ๊ธฐ์„œ ๋ณด์ด๋Š” ๊ฒŒ ๋‹ค์ž…๋‹ˆ๋‹ค.
10:12
because another one of our locals really likes Molas but in the wrong way.
157
612000
4000
์™œ๋ƒํ•˜๋ฉด ์šฐ๋ฆฌ๊ฐ€ ์—ฌ๊ธฐ์— ์„œ์‹ํ•˜๋Š” ๊ฐœ๋ณต์น˜๋ฅผ ์ž˜๋ชป๋œ ๋ฐฉ์‹์œผ๋กœ ์ข‹์•„ํ•˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.
10:16
The California sea lion takes the Molas as soon as they come into the bay,
158
616000
4000
์บ˜๋ฆฌํฌ๋‹ˆ์•„ ๋ฐ”๋‹ค์‚ฌ์ž๊ฐ€ ๊ฐœ๋ณต์น˜๊ฐ€ ๋งŒ์œผ๋กœ ๋“ค์–ด์˜ค๋Š”๋Œ€๋กœ ์žก๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค
10:20
rips off their fins, fashions them into the ultimate Frisbee, Mola style,
159
620000
5000
์ง€๋Š๋Ÿฌ๋ฏธ๋ฅผ ๋œฏ๊ณ  ๋‘ฅ๊ทผ ์›๋ฐ˜ ์Šคํƒ€์ผ๋กœ ๋งŒ๋“ค์–ด
10:25
and then tosses them back and forth.
160
625000
2000
์•ž ๋’ค๋กœ ๋˜์ง‘๋‹ˆ๋‹ค.
10:27
And I'm not exaggerating, it is just --
161
627000
3000
์ œ๊ฐ€ ๊ณผ์žฅํ•˜๋Š” ๊ฒƒ ์•„๋‹™๋‹ˆ๋‹ค.
10:30
and sometimes they don't eat them, it's just spiteful.
162
630000
3000
๊ฐ€๋” ์žก์•„์„œ๋Š” ๋จน์ง€๋„ ์•Š์Šต๋‹ˆ๋‹ค. ์•ฝ๊ฐ„์€ ์‹ฌ์ˆ ๊ตฟ์€ ๋†ˆ๋“ค์ด์ฃ 
10:33
And you know, the locals think it's terrible behavior,
163
633000
5000
์ฃผ๋ฏผ๋“ค์€ ์•„์ฃผ ๋”์ฐํ•œ ํ–‰๋™์ด๋ผ๊ณ  ํ•˜์ฃ 
10:38
it's just horrible watching this happen, day after day.
164
638000
5000
๋งค์ผ๋งค์ผ ์ด๋Ÿฐ ๋”์ฐํ•œ ์ผ์ด ์ผ์–ด๋‚ฉ๋‹ˆ๋‹ค.
10:43
The poor little Molas coming in, getting ripped to shreds,
165
643000
3000
์ด ๋ถˆ์Œํ•œ ๊ฐœ๋ณต์น˜๊ฐ€ ์ง€๋‚˜๋‹ค ์ด๋ ‡๊ฒŒ ๊ฐˆ๊ฐˆ์ด ์ฐŸ๊ฒจ์ง€๋Š” ๊ฒƒ์ด์ฃ 
10:46
so we head down south, to San Diego.
166
646000
4000
์šฐ๋ฆฌ๋Š” ์ง€๊ธˆ ๋‚จ์ชฝ ์•„๋ž˜ ์ƒŒ๋””์—๊ณ ๋กœ ํ–ฅํ•ฉ๋‹ˆ๋‹ค.
10:50
Not so many California sea lions down there.
167
650000
2000
๋งŽ์ง€ ์•Š์€ ์บ˜๋ฆฌํฌ๋‹ˆ์•„ ๋ฐ”๋‹ค์‚ฌ์ž๊ฐ€ ์—ฌ๊ธฐ ์„œ์‹ํ•˜๊ณ  ์žˆ์ฃ 
10:52
And the Molas there, you can find them with a spotter plane very easily,
168
652000
3000
๊ฑฐ๊ธฐ ๊ฐœ๋ณต์น˜๋„ ์žˆ๋Š”๋ฐ ์ •์ฐฐ ๋น„ํ–‰๊ธฐ๋กœ ์‰ฝ๊ฒŒ ์ฐพ์„ ์ˆ˜ ์žˆ์ฃ 
10:55
and they like to hang out under floating rafts of kelp.
169
655000
3000
๊ทธ๋“ค์€ ๋ฌผ์— ๋œจ๋Š” ๊ฐˆ์กฐ๋ฅ˜ ๋ฐ‘์—์„œ ๋†€๊ธฐ๋ฅผ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค.
10:58
And under those kelps -- this is why the Molas come there
170
658000
3000
๋ฐ”๋กœ ๊ฐœ๋ณต์น˜๊ฐ€ ๊ฐˆ์กฐ๋ฅ˜ ๋ฐ‘์—์„œ ๋‚˜์˜ค๋Š” ์ด์œ ์ž…๋‹ˆ๋‹ค.
11:01
because it's spa time for the Molas there.
171
661000
4000
๊ทธ ์‹œ๊ฐ„์ด ์–˜๋„ค๋“ค์—๊ฒŒ๋Š” ์ŠคํŒŒ๋ฅผ ์ฆ๊ธฐ๋Š” ์‹œ๊ฐ„์ด๊ธฐ ๋•Œ๋ฌธ์ด์ฃ 
11:05
As soon as they get under those rafts of kelp, the exfoliating cleaner fish come.
172
665000
4000
๊ฐœ๋ณต์น˜๊ฐ€ ๊ฐˆ์กฐ๋ฅ˜ ๋ฐ‘์œผ๋กœ ๋“ค์–ด๊ฐ€๋ฉด ํด๋ฆฌ๋„ˆ ํ”ผ์‰ฌ๊ฐ€ ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค.
11:09
And they come and give the Molas --
173
669000
2000
์ด๊ฒƒ๋“ค์ด ๋‚˜ํƒ€๋‚˜์„œ ๊ฐœ๋ณต์น˜์—๊ฒŒ ๋‹ค๊ฐ€๊ฐ€์ฃ 
11:11
you can see they strike this funny little position that says,
174
671000
3000
๊ทธ๋ฆฌ๊ณ  ์ด ์šฐ์Šค๊ฝ์Šค๋Ÿฌ์šด ์ƒํ™ฉ์—์„œ ์ด๋ ‡๊ฒŒ ์‹œ์ž‘ํ•˜์ฃ 
11:14
"I'm not threatening, but I need a massage."
175
674000
2000
๋‚œ ์œ„ํ˜‘ํ•˜๋Š” ๊ฒŒ ์•„๋‹ˆ์•ผ ๊ทธ๋ƒฅ ๋งˆ์‚ฌ์ง€๊ฐ€ ํ•„์š”ํ•  ๋ฟ์ด์•ผ
11:16
(Laughter)
176
676000
4000
์›ƒ์Œ
11:20
And they'll put their fins out and their eyes go in the back of their head,
177
680000
4000
๊ทธ ํด๋ฆฌ๋„ˆ ํ”ผ์‰ฌ๋Š” ์ง€๋Š๋Ÿฌ๋ฏธ๋ฅผ ํŽด๊ณ  ์‹œ์•ผ๋ฅผ ๋จธ๋ฆฌ ๋’ค์— ๋‘ก๋‹ˆ๋‹ค.
11:24
and the fish come up and they just clean, clean, clean --
178
684000
4000
๊ฐœ๋ณต์น˜๊ฐ€ ๋‚˜ํƒ€๋‚˜๋ฉด ๊ณ„์† ์ฒญ์†Œ๋ฅผ ํ•ด ์ค๋‹ˆ๋‹ค.
11:28
because the Molas, you know, there's just a smorgasbord of parasites.
179
688000
4000
์ด์œ ๋Š” ๊ฐœ๋ณต์น˜๊ฐ€ ๊ธฐ์ƒ์ถฉ ๋ฒ”๋ฒ…์ด๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.
11:32
And it's also a great place to go down south
180
692000
2000
๋‚จ์ชฝ์œผ๋กœ ๊ฐ€๊ธฐ์— ์ข‹์€ ๊ณณ์ž…๋‹ˆ๋‹ค.
11:34
because the water's warmer, and the Molas are kind of friendly down there.
181
694000
4000
๋”ฐ๋œปํ•œ ๋ฌผ์ด ์žˆ์–ด ๊ฐœ๋ณต์น˜๋„ ๋‚ฏ์„ค์ง€ ์•Š์ฃ 
11:38
I mean what other kind of fish, if you approach it right,
182
698000
3000
๋‹ค๋ฅธ ๋ฌผ๊ณ ๊ธฐ๊ฐ€ ๊ฐœ๋ณต์น˜์—๊ฒŒ ์ ‘๊ทผํ•˜๋ฉด
11:41
will say, "Okay, scratch me right there."
183
701000
2000
๋ฐฐ๋ณต์น˜๊ฐ€ ์ด๋ ‡๊ฒŒ ๋งํ•˜๊ฒ ์ฃ "๋‚˜ ์—ฌ๊ธฐ ์ข€ ๊ธ์–ด ์ค˜"
11:43
You truly can swim up to a Mola -- they're very gentle --
184
703000
3000
์—ฌ๋Ÿฌ๋ถ„์€ ๊ฐœ๋ณต์น˜์—๊ฒŒ ์ˆ˜์˜์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ ๋†ˆ๋“ค์€ ์•„์ฃผ ์  ํ‹€ํ•˜๋‹ˆ๊นŒ์š”..
11:46
and if you approach them right, you can give them a scratch and they enjoy it.
185
706000
4000
์—ฌ๋Ÿฌ๋ถ„์ด ๋‹ค๊ฐ€๊ฐ€์„œ ์•ฝ๊ฐ„ ๊ธ์ ์—ฌ ์ฃผ๋ฉด ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค
11:52
So we've also tagged one part of the Pacific;
186
712000
2000
์šฐ๋ฆฌ๋Š” ํƒœํ‰์–‘ ์ผ๋ถ€ ์ง€์—ญ์—๋„ ํƒœ๊ทธ๋ฅผ ๋ถ™์˜€์Šต๋‹ˆ๋‹ค
11:54
we've gone over to another part of the Pacific,
187
714000
2000
์šฐ๋ฆฌ๋Š” ํƒœํ‰์–‘ ์ง€์—ญ์˜ ๋‹ค๋ฅธ ๊ณณ์œผ๋กœ ๊ฐ”์ฃ 
11:56
and we've tagged in Taiwan, and we tagged in Japan.
188
716000
3000
๋Œ€๋งŒ๊ณผ ์ผ๋ณธ์—๋„ ํƒœ๊ทธ๋ฅผ ๋ถ™์˜€์ฃ 
12:00
And over in these places, the Molas are caught in set nets that line these countries.
189
720000
5000
์ด๋Ÿฐ ์ง€์—ญ์—์„œ ๊ฐœ๋ณต์น˜๋“ค์ด ๋ง์— ์žกํ˜”์Šต๋‹ˆ๋‹ค.
12:05
And they're not thrown back as by-catch, they're eaten.
190
725000
3000
๊ฐœ๋ณต์น˜๋“ค์„ ๋‹ค์‹œ ๋Œ๋ ค ๋ณด๋‚ด์ง€ ์•Š๊ณ  ์‹œ์‹์„ ํ–ˆ์Šต๋‹ˆ๋‹ค.
12:08
We were served a nine-course meal of Mola after we tagged.
191
728000
4000
์šฐ๋ฆฌ๋Š” ํƒœ๊ทธ๋ฅผ ๋‹จ ํ›„ 9๊ฐ€์ง€ ์ฝ”์Šค๋กœ ๊ฐœ๋ณต์น˜๋ฅผ ๋จน์—ˆ์Šต๋‹ˆ๋‹ค.
12:13
Well, not the one we tagged!
192
733000
2000
์šฐ๋ฆฌ๋Š” ํƒœ๊ทธ๋ฅผ ๋‹จ ๋†ˆ๋“ค๋งŒ ๋จน์ง€ ์•Š๊ณ 
12:16
And everything from the kidney, to the testes, to the back bone,
193
736000
3000
์‹ ์žฅ์—์„œ ์ƒ์‹๊ธฐ ๋“ฑ๋ผˆ๊นŒ์ง€ ๋‹ค ๋จน์—ˆ์ฃ 
12:19
to the fin muscle to -- I think that รญs pretty much the whole fish -- is eaten.
194
739000
7000
์ง€๋Š๋Ÿฌ๋ฏธ ๊ทผ์œก๋„ ๋จน์—ˆ๊ตฐ์š”. ๋ญ ๊ณ ๊ธฐ ๋ชจ๋“  ๋ถ€๋ถ„์„ ๋‹ค ๋จน์—ˆ๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.
12:32
So the hardest part of tagging, now, is
195
752000
4000
ํƒœ๊ทธ๋ฅผ ๋ถ™์ด๋Š” ๊ฐ€์žฅ ์–ด๋ ค์šด ๋ถ€๋ถ„์€
12:36
after you put that tag on, you have to wait, months.
196
756000
5000
ํƒœ๊ทธ๋ฅผ ๋ถ™์ด๊ณ  ๋ช‡ ๋‹ฌ์„ ๊ธฐ๋‹ค๋ ค์•ผ ํ•œ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
12:41
And you're just wondering, oh, I hope the fish is safe,
197
761000
4000
์—ฌ๋Ÿฌ๋ถ„์€ ๊ถ๊ธˆํ•ดํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ €๋„ ๊ณ ๊ธฐ๊ฐ€ ์•ˆ์ „ํ•˜๊ธฐ๋ฅผ ๋ฐ”๋ž๋‹ˆ๋‹ค.
12:45
I hope, I hope it's going to be able to actually live its life out
198
765000
4000
์ €๋„ ์ด๋“ค์ด ์ž์‹ ์˜ ์ˆ˜๋ช…์„ ๋‹คํ• ๋•Œ๊นŒ์ง€ ์‚ด ์ˆ˜ ์žˆ๊ธฐ๋ฅผ ๋ฐ”๋ž๋‹ˆ๋‹ค.
12:49
during the course that the tag is recording.
199
769000
3000
ํƒœ๊ทธ๊ฐ€ ๊ธฐ๋ก์„ ํ•˜๋Š” ๊ณผ์ • ๋™์•ˆ๋ง์ด์ฃ 
12:52
The tags cost 3500 dollars each, and then satellite time is another 500 dollars,
200
772000
6000
ํƒœ๊ทธ๊ฐ€ ๊ฐ 3500๋‹ฌ๋Ÿฌ ์ •๋„ ๊ฐ€๊ฒฉ์ด ๋‚˜๊ฐ€๊ณ  ์œ„์„ฑ์€ ํ•œ 500 ๋‹ฌ๋Ÿฌ ์ •๋„ ๋น„์šฉ์ด ๋“ญ๋‹ˆ๋‹ค.
12:58
so you're like, oh, I hope the tag is okay.
201
778000
3000
์—ฌ๋Ÿฌ๋ถ„๊ณผ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ์ €๋Š” ํƒœ๊ทธ๊ฐ€ ์˜จ์ „ํ•˜๊ธฐ๋ฅผ ๋ฐ”๋ž๋‹ˆ๋‹ค.
13:01
And so the waiting is really the hardest part.
202
781000
3000
๊ธฐ๋‹ค๋ฆฌ๋Š” ๊ฒƒ์ด ๊ฐ€์žฅ ํž˜๋“  ๋ถ€๋ถ„์ž…๋‹ˆ๋‹ค.
13:04
I'm going to show you our latest dataset.
203
784000
2000
์šฐ๋ฆฌ ์ตœ๊ทผ ๋ฐ์ดํƒ€๋ฅผ ์—ฌ๋Ÿฌ๋ถ„์—๊ฒŒ ๋ณด์—ฌ๋“œ๋ฆด๊ฒƒ์ž…๋‹ˆ๋‹ค.
13:06
And it hasn't been published, so it's totally privy information just for TED.
204
786000
5000
์•„์ง ๊ณต๊ฐœ๋˜์ง€ ์•Š์€ ์ •๋ณด์ง€๋งŒ TED์—์„œ๋งŒ ์•Œ๋ ค๋“œ๋ฆฌ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
13:11
And in showing you this, you know, when we're looking at this data,
205
791000
4000
์—ฌ๋Ÿฌ๋ถ„์ด ์ด ๋ฐ์ดํƒ€๋ฅผ ๋ณด์‹œ๋ฉด
13:15
we're thinking, oh do these animals, do they cross the equator?
206
795000
3000
์ •๋ง ์ด ๋™๋ฌผ๋“ค์ด ์ ๋„๋ฅผ ๋„˜๋Š” ๊ฒƒ์ผ๊นŒ๋ผ๋Š” ์ƒ๊ฐ์„ ํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.
13:18
Do they go from one side of the Pacific to the other?
207
798000
2000
๊ฐœ๋ณต์น˜๋“ค์ด ํƒœํ‰์–‘ ํ•œ ์ง€์—ญ์—์„œ ๋˜ ๋‹ค๋ฅธ ์ง€์—ญ์œผ๋กœ ์ด๋™์„ ํ•˜๋Š” ๊ฒƒ์ธ๊ฐ€?
13:20
And we found that they kind of are homebodies.
208
800000
4000
์šฐ๋ฆฌ๊ฐ€ ์•Œ๊ฒŒ๋œ ๊ฒƒ์€ ๊ฐœ๋ณต์น˜๋“ค์ด ๊ทธ๋ ‡๊ฒŒ ์ด๋™์„ ์ข‹์•„ํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
13:25
They're not big migrators. This is their track:
209
805000
2000
์ด์ฃผ๋ฅผ ๋ฉ€๋ฆฌ ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์ด ๊ทธ๋“ค์ด ๋‹ค๋‹ˆ๋Š” ๊ฒฝ๋กœ์ž…๋‹ˆ๋‹ค.โ™ช
13:27
we deployed the tag off of Tokyo, and the Mola in one month
210
807000
4000
์šฐ๋ฆฌ๋Š” ๋„์ฟ„์—์„œ ํƒœ๊ทธ๋ฅผ ๋ถ™ํ˜”๋Š”๋ฐ ํ•œ๋‹ฌ๋งŒ์—
13:31
kind of got into the Kuroshio Current off of Japan and foraged there.
211
811000
5000
์ฟ ๋กœ์‹œ์˜ค ํ•ด๋ฅ˜๋กœ ๊ฐ€์„œ ๋จน์ด์‚ฌ๋ƒฅ์„ ํ•˜๋‹ค๊ฐ€
13:36
And after four months, went up, you know, off of the north part of Japan.
212
816000
4000
4๋‹ฌ ํ›„์— ์ผ๋ณธ ๋ถ์ชฝ ์œ„๋กœ ํ–ฅํ–ˆ์Šต๋‹ˆ๋‹ค.
13:40
And that's kind of their home range.
213
820000
2000
์ด๊ฒƒ์ด ๋ฐ”๋กœ ๊ฐœ๋ณต์น˜์˜ ์ฃผ์š” ๊ฒฝ๋กœ์ž…๋‹ˆ๋‹ค.
13:42
Now that's important, though, because if there's a lot of fishing pressure,
214
822000
4000
์ค‘์š”ํ•œ ๊ฒƒ์€ ๋งŽ์€ ์–ด๋กœ ํ™œ๋™์œผ๋กœ ์ธํ•ด
13:46
that population doesn't get replenished.
215
826000
3000
๊ฐœ์ฒด์ˆ˜๊ฐ€ ์œ ์ง€๋˜๊ณ  ์žˆ์ง€ ๋ชปํ•˜๋‹ค๋Š” ์ ์ด๋‹ค.
13:49
So that's a very important piece of data.
216
829000
2000
์ด๊ฒƒ์ด ์•„์ฃผ ์ค‘์š”ํ•œ ๋ฐ์ดํƒ€์ž…๋‹ˆ๋‹ค.
13:51
But also what's important is that they're not slacker, lazy fish.
217
831000
6000
์ค‘์š”ํ•œ ์ ์€ ์ด๋“ค์ด ๊ฒŒ์œผ๋ฅธ ๋ฌผ๊ณ ๊ธฐ๊ฐ€ ์•„๋‹ˆ๋ผ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
13:57
They're super industrious.
218
837000
2000
์•„์ฃผ ๋ถ€์ง€๋Ÿฐํ•œ ๋†ˆ๋“ค์ž…๋‹ˆ๋‹ค.
13:59
And this is a day in the life of a Mola, and if we --
219
839000
3000
์ด๊ฒƒ์ด ๋ฐ”๋กœ ๊ฐœ๋ณต์น˜์˜ ํ•˜๋ฃจ ์ƒํ™œ์ž…๋‹ˆ๋‹ค.
14:02
they're up and down, and up and down, and up and down, and up
220
842000
4000
ํ•˜๋ฃจ์— ๋ฌผ์†์—์„œ ์˜ค๋ฅด๋ฝ ๋‚ด๋ฆฌ๋ฝ์„ .
14:06
and up and down, up to 40 times a day.
221
846000
2000
40๋ฒˆ ์ •๋„ ๋ฐ˜๋ณตํ•ฉ๋‹ˆ๋‹ค
14:08
As the sun comes up, you see in the blue, they start their dive.
222
848000
5000
ํ•ด๊ฐ€ ๋œจ๋ฉด ์—ฌ๋Ÿฌ๋ถ„์€ ๊ฐœ๋ณต์น˜๋“ค์ด ๋ฌผ์†์—์„œ ๋‹ค์ด๋น™์„ ํ•˜๋Š” ๊ฒƒ์„ ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
14:13
Down -- and as the sun gets brighter they go a little deeper, little deeper.
223
853000
4000
ํ•ด๊ฐ€ ๋” ๋ฐ๊ฒŒ ๋น› ๋‚˜๋ฉด ๋” ๊นŠ์€ ๊ณณ์œผ๋กœ ๋‚ด๋ ค๊ฐ‘๋‹ˆ๋‹ค.
14:17
They plumb the depths down to 600 meters, in temperatures to one degree centigrade,
224
857000
6000
์˜จ๋„๊ฐ€ 1๋„ ์ •๋„ ๋˜๋Š” 1600๋ฏธํ„ฐ ๊นŠ์ด๋กœ ์ž ์ˆ˜ํ•œ๋‹ค.
14:23
and this is why you see them on the surface -- it's so cold down there.
225
863000
4000
๋ฐ‘์ด ๋„ˆ๋ฌด ์ถ”์›Œ ๋ฐ”๋‹ค ํ‘œ๋ฉด์œผ๋กœ ์˜ฌ๋ผ ์˜ค๋Š”๋ฐ ๊ทธ๋ž˜์„œ ์šฐ๋ฆฌ๊ฐ€ ๋ณผ ์ˆ˜ ์žˆ๊ฒŒ ๋˜๋Š” ๊ฒƒ์ด์ฃ .
14:27
They've got to come up, warm, get that solar power,
226
867000
2000
๊ฐœ๋ณต์น˜๋Š” ๋ฌผ ํ‘œ๋ฉด์œผ๋กœ ์˜ฌ๋ผ์™€ ๋”ฐ๋œปํ•œ ํƒœ์–‘์„ ์ฆ๊ธฐ์ฃ 
14:29
and then plunge back into the depths, and go up and down and up and down.
227
869000
3000
๊ทธ๋ฆฌ๊ณ  ๋‹ค์‹œ ๋ฌผ์†์œผ๋กœ ๋Œ์•„๊ฐ€๊ณ  ๋‹ค์‹œ ์˜ฌ๋ผ ์˜ค๊ณ  ๋‚ด๋ ค๊ฐ€๊ธฐ๋ฅผ ๋ฐ˜๋ณตํ•˜์ฃ 
14:32
And they're hitting a layer down there; it's called the deep scattering layer --
228
872000
3000
๋ฐ”๋‹ค ์•„๋ž˜์—์„œ ์‚ฐ๋ž€์ธต์ด๋ผ๋Š” ๊ด‘์„ ์„ ์ฌ์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
14:35
which a whole variety of food's in that layer.
229
875000
5000
๊ทธ ์‚ฐ๋ž€์ธต ์ฃผ์œ„์— ๋งŽ์€ ๋จน์„ ๊ฑฐ๋ฆฌ๊ฐ€ ์žˆ๋‹ต๋‹ˆ๋‹ค.
14:40
So rather than just being some sunbathing slacker,
230
880000
4000
๊ทธ๋ƒฅ ํ–‡๋น›์„ ์ฆ๊ธฐ๋Š” ๊ฒŒ์œผ๋ฆ„๋ฑ…์ด๋ผ๊ธฐ ๋ณด๋‹ค๋Š”
14:44
they're really very industrious fish that dance this wild dance
231
884000
3000
๊ฐœ๋ณต์น˜๋ผ๋Š” ๋†ˆ๋“ค์€ ์•„์ฃผ ๋ถ€์ง€๋Ÿฐํ•˜์ฃ  ์ด๋ ‡๊ฒŒ ๋ฐ”์˜๊ฒŒ
14:47
between the surface and the bottom and through temperature.
232
887000
5000
์˜จ๋„์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๋ฐ”๋‹ค ์†๊ณผ ๋ฐ”๋‹ค ๋ฐ–์„ ์ถค์ถ”๋“ฏ์ด ๋‹ค๋‹ˆ์ฃ .
14:52
We see the same pattern -- now with these tags
233
892000
3000
์ด ํƒœ๊ทธ๋ฅผ ๊ฐ€์ง€๊ณ  ๊ฐ™์€ ํŒจํ„ด์„ ์šฐ๋ฆฌ๋Š” ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
14:55
we're seeing a similar pattern for swordfishes, manta rays, tunas,
234
895000
4000
์šฐ๋ฆฌ๋Š” ๊ฐœ๋ณต์น˜๊ฐ€ ํ™ฉ์ƒˆ์น˜. ์ฅ๊ฐ€์˜ค๋ฆฌ, ์ฐธ์น˜๋ž‘ ๋น„์Šทํ•œ ํŒจํ„ด์„ ๋ณด์ด๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
14:59
a real three-dimensional play.
235
899000
3000
์ •๋ง 3์ฐจ์›์˜ ํ”Œ๋ ˆ์ด์ฃ 
15:04
This is part of a much larger program called the Census of Marine Life,
236
904000
3000
์ด๊ฒƒ์€ ํ•ด์–‘์ƒ๋ฌผ์˜ ์ปจ์„ผ์„œ์Šค๋ผ๋Š” ์•„์ฃผ ํฐ ํ”„๋กœ๊ทธ๋žจ์ž…๋‹ˆ๋‹ค.
15:07
where they're going to be tagging all over the world
237
907000
3000
์—ฌ๊ธฐ์„  ์ „ ์„ธ๊ณ„๊ณณ๊ณณ์— ํƒœ๊น… ์ž‘์—…์„ ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
15:10
and the Mola's going to enter into that.
238
910000
2000
๊ฐœ๋ณต์น˜์˜ ํƒœ๊น…์ž‘์—…๋„ ํฌํ•จ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
15:12
And what's exciting -- you all travel, and you know
239
912000
3000
์‹ ๋‚˜๋Š” ๊ฒƒ์€ ์—ฌํ–‰์„ ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
15:15
the best thing about traveling is to be able to find the locals,
240
915000
3000
์—ฌํ–‰์„ ํ•  ์ˆ˜ ์žˆ์–ด ์ •๋ง ์‹ ๋‚˜๋Š” ๊ฒƒ์€ ๋ฐ”๋กœ ์ง€์—ญ์ƒ๋ฌผ์„ ์ฐพ์•„ ๋ณผ ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
15:18
and to find the great places by getting the local knowledge.
241
918000
3000
๊ทธ๋ฆฌ๊ณ  ์ง€์—ญ ์ •๋ณด๋กœ ๋ฉ‹์ง„ ๊ณณ์„ ์•Œ๊ฒŒ ๋˜๊ธฐ๋„ ํ•˜๊ตฌ์š”
15:21
Well now with the Census of Marine Life, we'll be able to sidle up to all the locals
242
921000
4000
์ด ํ•ด์–‘์ƒ๋ฌผ ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์šฐ๋ฆฌ๋Š” ๋ชจ๋“  ์ง€์—ญ ๋ฐ”๋‹ค์ƒ๋ฌผ์— ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
15:25
and explore 90 percent of our living space, with local knowledge.
243
925000
5000
์ง€์—ญ์ •๋ณด๋กœ ์šฐ๋ฆฌ ์ƒํ™œ๊ถŒ์˜ 90%๋ฅผ ํƒํ—˜ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฑฐ์ฃ ..
15:30
It's never -- it's really never been a more exciting, or a vital time, to be a biologist.
244
930000
6000
์šฐ๋ฆฌ ์ƒ๋ฌผํ•™์ž์—๊ฒŒ ์ด๋ ‡๊ฒŒ ์‹ ๋‚˜๊ณ  ์ •๋ง ๊ท€์ค‘ํ•œ ์‹œ๊ฐ„์€ ์ฒ˜์Œ์ž…๋‹ˆ๋‹ค.
15:36
Which brings me to my last point, and what I think is kind of the most fun.
245
936000
4000
์ด์ œ ๋งˆ์ง€๋ง‰ ๋ถ€๋ถ„์ธ๋ฐ์š”, ๋˜ ๊ฐ€์žฅ ์žฌ๋ฏธ์žˆ๋Š” ๋ถ€๋ถ„์ด๋ผ๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.
15:40
I set up a website because I was getting so many questions about Molas and sunfish.
246
940000
8000
์ œ๊ฐ€ ๊ฐœ๋ณต์น˜์— ๊ด€ํ•œ ์งˆ๋ฌธ์„ ๋„ˆ๋ฌด ๋งŽ์ด ๋ฐ›์•„์„œ ์›น์‚ฌ์ดํŠธ๋ฅผ ํ•˜๋‚˜ ๊ฐœ์„ค ํ–ˆ์Šต๋‹ˆ๋‹ค.
15:48
And so I just figured I'd have the questions answered,
247
948000
4000
๊ทธ๋ž˜์„œ ์ œ๊ฐ€ ์ด์ œ ๊ทธ๋Ÿฐ ์งˆ๋ฌธ์— ๋Œ€๋‹ต์„ ํ•ด ๋“œ๋ฆด ์ˆ˜ ์žˆ๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.
15:52
and I'd be able to thank my funders, like National Geographic and Lindbergh.
248
952000
4000
๊ทธ๋ฆฌ๊ณ  ์ œ๊ฒŒ ๊ธˆ์ „์  ์ง€์›์„ ํ•ด์ฃผ๋Š” ๋‚ด์…”๋„ ์ง€์˜ค๊ทธ๋ž˜ํ”ฝ๊ณผ ๋ฆฐ๋“œ๋ฒ„๊ทธ ์ธก์—๊ฒŒ๋„ ๊ฐ์‚ฌ๋ฅผ ๋“œ๋ฆด ์ˆ˜ ์žˆ์„ ๊ฑฐ๊ตฌ์š”
15:56
But people would write into the site with all sorts of,
249
956000
4000
์‚ฌ๋žŒ๋“ค์ด ๊ทธ ์‚ฌ์ดํŠธ์— ๋‹ค์–‘ํ•œ ๊ธ€์„ ์“ฐ์‹ค ์ˆ˜ ์žˆ์„ ๊ฒ๋‹ˆ๋‹ค.
16:00
all sorts of stories about these animals
250
960000
3000
๋ญ ๊ฐœ๋ณต์น˜์— ๋Œ€ํ•œ ๋งŽ์€ ์ด์•ผ๊ธฐ๋“ค์ด๊ฒ ์ฃ 
16:03
and wanting to help me get samples for genetic analysis.
251
963000
4000
์ €๋Š” ์œ ์ „์  ๋ถ„์„์— ๋Œ€ํ•œ ์ƒ˜ํ”Œ์„ ์–ป๋Š” ๋ฐ ๋„์›€์ด ๋์œผ๋ฉด ์ข‹๊ฒ ๋„ค์š”..
16:07
And what I found most exciting is that everyone had a shared --
252
967000
7000
์ œ๊ฐ€ ๊ฐ€์žฅ ํฅ๋ถ„๋˜๋Š” ๊ฒƒ์€ ๋ชจ๋“  ์‚ฌ๋žŒ์ด ๋‹ค
16:14
a shared love and an interest in the oceans.
253
974000
3000
๋ฐ”๋‹ค์— ๋Œ€ํ•œ ์‚ฌ๋ž‘๊ณผ ๊ด€์‹ฌ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
16:17
I was getting reports from Catholic nuns,
254
977000
4000
์ œ๊ฒŒ ์ˆ˜๋…€๋‹˜๊ป˜์„œ ์—ฐ๋ฝ์„ ์ฃผ์‹œ๊ธฐ๋„ ํ•˜๊ณ 
16:21
Jewish Rabbis, Muslims, Christians -- everybody writing in,
255
981000
5000
์œ ๋Œ€์ธ, ๋ฌด์Šฌ๋ฆผ, ํฌ๋ฆฌ์Šค์ฑค ๋ถ„๋“ค๋„ ๋งˆ์ฐฌ๊ฐ€์ง€์ž…๋‹ˆ๋‹ค.
16:26
united by their love of life.
256
986000
4000
์„œ๋กœ ์ƒ๋ช…์— ๋Œ€ํ•œ ์‚ฌ๋ž‘์œผ๋กœ ํ•œ ๋งˆ์Œ์ด์‹ญ๋‹ˆ๋‹ค.
16:30
And to me that -- I don't think I could say it any better than the immortal Bard himself:
257
990000
6000
์ €๋Š” ์„ธ์ต์Šคํ”ผ์–ด๋ณด๋‹ค ๋” ์ž˜ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅ์€ ์—†์Šต๋‹ˆ๋‹ค.์ฆ‰,
16:36
"One touch of nature makes the whole world kin."
258
996000
4000
์„ธ์ต์Šคํ”ผ์–ด๋Š” ์˜ํ˜น๊ณผ ์˜์‹ฌ์€ ํ•ญ์ƒ ๋–ณ๋–ณ์ง€ ๋ชปํ•œ ๋งˆ์Œ์„ ๋”ฐ๋ผ๋‹ค๋‹Œ๋‹ค๋ผ๋Š” ๋ง์„ ๋‚จ๊ฒผ์Šต๋‹ˆ๋‹ค.
16:40
And sure, it may be just one big old silly fish, but it's helping.
259
1000000
4000
ํ™•์‹คํ•œ ๊ฒƒ์€ ํ•œ ๋งˆ๋ฆฌ ํฐ ์–ด๋ฆฌ์„์€ ๋ฌผ๊ณ ๊ธฐ๋ผ ํ• ์ง€๋ผ๋„ ๋„์›€์ด ๋˜๋Š” ์กด์žฌ๋ผ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค,.
16:44
If it's helping to unite the world, I think it's definitely the fish of the future.
260
1004000
4000
๊ทธ ๋ฌผ๊ณ ๊ธฐ๊ฐ€ ์„ธ๊ณ„๋ฅผ ํ•˜๋‚˜๋กœ ๋งŒ๋“œ๋Š”๋ฐ ๋„์›€์„ ์ค€๋‹ค๋ฉด ๊ทธ๊ฒƒ์ด ๋ฐ”๋กœ ๋ฏธ๋ž˜์˜ ๋ฌผ๊ณ ๊ธฐ๊ฐ€ ์•„๋‹๊นŒํ•˜๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.
์ด ์›น์‚ฌ์ดํŠธ ์ •๋ณด

์ด ์‚ฌ์ดํŠธ๋Š” ์˜์–ด ํ•™์Šต์— ์œ ์šฉํ•œ YouTube ๋™์˜์ƒ์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ์ „ ์„ธ๊ณ„ ์ตœ๊ณ ์˜ ์„ ์ƒ๋‹˜๋“ค์ด ๊ฐ€๋ฅด์น˜๋Š” ์˜์–ด ์ˆ˜์—…์„ ๋ณด๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ๋™์˜์ƒ ํŽ˜์ด์ง€์— ํ‘œ์‹œ๋˜๋Š” ์˜์–ด ์ž๋ง‰์„ ๋”๋ธ” ํด๋ฆญํ•˜๋ฉด ๊ทธ๊ณณ์—์„œ ๋™์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค. ๋น„๋””์˜ค ์žฌ์ƒ์— ๋งž์ถฐ ์ž๋ง‰์ด ์Šคํฌ๋กค๋ฉ๋‹ˆ๋‹ค. ์˜๊ฒฌ์ด๋‚˜ ์š”์ฒญ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์ด ๋ฌธ์˜ ์–‘์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฌธ์˜ํ•˜์‹ญ์‹œ์˜ค.

https://forms.gle/WvT1wiN1qDtmnspy7