Let's turn the high seas into the world's largest nature reserve | Enric Sala

71,283 views ใƒป 2018-06-28

TED


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

๋ฒˆ์—ญ: SeungGyu Min ๊ฒ€ํ† : Jihyeon J. Kim
00:13
If you were to jump into any random spot in the ocean,
0
13286
4452
๋งŒ์•ฝ ์—ฌ๋Ÿฌ๋ถ„์ด ๋ฐ”๋‹ค์— ๋“ค์–ด๊ฐ€์‹ค ๊ธฐํšŒ๊ฐ€ ์žˆ๋‹ค๋ฉด
00:17
you would probably see something like this.
1
17762
2372
์•„๋งˆ ์ด๋Ÿฐ ๋ชจ์Šต์„ ๋ชฉ๊ฒฉํ•˜์‹ค ์ˆ˜ ์žˆ์„ ๊ฒ๋‹ˆ๋‹ค.
00:20
Empty of large animals.
2
20897
2237
ํฐ ๋ฌผ๊ณ ๊ธฐ๋“ค์ด ๋ณด์ด์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
00:23
Because we have taken them out of the water
3
23879
2357
์šฐ๋ฆฌ ์ธ๊ฐ„๋“ค์ด ๋ฐ”๋‹ค์— ์„œ์‹ํ•˜๋Š”
00:26
faster than they can reproduce.
4
26260
2317
ํฐ ๋ฌผ๊ณ ๊ธฐ๋“ค์ด ๋ฒˆ์‹ํ•˜๋Š” ์†๋„๋ณด๋‹ค ๋” ์ผ์ฐ ์žก์•„ ์˜ฌ๋ฆฌ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.
00:29
Today I want to propose a strategy to save ocean life,
5
29610
3531
์˜ค๋Š˜, ์ €๋Š” ํ•ด์–‘์ƒ๋ฌผ์„ ๊ตฌ์ œํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ๋ฐœํ‘œํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค .
00:33
and the solution has a lot to do with economics.
6
33165
2460
๊ทธ๋ฆฌ๊ณ  ๊ทธ ํ•ด๊ฒฐ์ฑ…์€ ๋งŽ์€ ๋ถ€๋ถ„์ด ๊ฒฝ์ œํ•™๊ณผ ๊ด€๋ จ์žˆ์Šต๋‹ˆ๋‹ค.
00:36
In 1999, a little place called Cabo Pulmo in Mexico
7
36316
4094
1999๋…„, ๋ฉ•์‹œ์ฝ”์˜ ์นด๋ณด ํ’€๋ชจ๋ผ๊ณ  ๋ถˆ๋ฆฌ๋Š”
00:40
was an underwater desert.
8
40434
1667
์ข์€ ๊ณต๊ฐ„์˜ ํ•ด์ € ์‚ฌ๋ง‰์ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
00:42
The fishermen were so upset not having enough fish to catch
9
42728
4024
์–ด๋ถ€๋“ค์€ ์žก์„ ๋ฌผ๊ณ ๊ธฐ๊ฐ€ ๋งŽ์ด ์—†์–ด ํ™”๊ฐ€ ๋‚œ ๋‚˜๋จธ์ง€
00:46
that they did something that no one expected.
10
46776
2984
์•„๋ฌด๋„ ์ƒ๊ฐ์น˜ ๋ชปํ•œ ๊ฒƒ์„ ํ–ˆ์Šต๋‹ˆ๋‹ค.
00:49
Instead of spending more time at sea, trying to catch the few fish left,
11
49784
4103
๊ทธ๋“ค์€ ๋ฐ”๋‹ค์—์„œ ์‹œ๊ฐ„์„ ๋” ๋ณด๋‚ด๋ฉด์„œ ๋ช‡๋งˆ๋ฆฌ๋ผ๋„ ๋ฌผ๊ณ ๊ธฐ๋ฅผ
00:53
they stopped fishing completely.
12
53911
2475
์žก์œผ๋ ค๊ณ  ๋…ธ๋ ฅ ๋Œ€์‹  ๊ณ ๊ธฐ์žก์ด๋ฅผ ์•„์˜ˆ ์ ‘์–ด ๋ฒ„๋ ธ์Šต๋‹ˆ๋‹ค.
00:57
They created a national park in the sea.
13
57498
2667
๊ทธ๋“ค์€ ํ•ด์–‘๊ตญ๋ฆฝ๊ณต์›์„ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค.
01:00
A no-take marine reserve.
14
60576
2715
์ž์—ฐ ๊ทธ๋Œ€๋กœ์˜ ๋ฐ”๋‹ค๋ฅผ ๋ง์ด์ฃ .
01:04
When we returned, 10 years later, this is what we saw.
15
64141
4633
10๋…„ ํ›„ ์šฐ๋ฆฌ๊ฐ€ ๋‹ค์‹œ ๋ฐ”๋‹ค๋กœ ๋Œ์•„์™”์„ ๋•Œ
01:09
What had been an underwater barren
16
69870
3722
์ˆ˜์ค‘ ์‚ฌ๋ง‰์—์„œ ์ผ์–ด๋‚œ ์ผ์€
01:13
was now a kaleidoscope of life and color.
17
73616
3500
์ƒ๋ช…๊ณผ ์ƒ‰๊น”์ด ๋„˜์น˜๋Š” ๋งŒํ™”๊ฒฝ์ด์—ˆ์Šต๋‹ˆ๋‹ค.
01:17
We saw it back to pristine in only 10 years.
18
77140
3540
์ €ํฌ๋Š” ๊ทธ๊ฒƒ์ด 10๋…„๋งŒ์— ๋‹ค์‹œ ์ž์—ฐ์œผ๋กœ ๋Œ์•„๊ฐ€๋Š” ๊ฒƒ์„ ๋ดค์Šต๋‹ˆ๋‹ค.
01:20
Including the return of the large predators,
19
80704
2214
๋†์–ด, ์ƒ์–ด, ์žญ์Šค๊ฐ™์€
01:22
like the groupers, the sharks, the jacks.
20
82942
3262
ํฐ ํฌ์‹์ž๋“ค์ด ๋Œ์•„์˜ค๋Š” ๊ฒƒ๋„ ํฌํ•จํ•ด์„œ ๋ง์ด์ฃ .
01:26
And those visionary fishermen
21
86823
2397
๊ทธ๋ฆฌ๊ณ  ๊ทธ ์˜ˆ์ง€๋ ฅ ์žˆ๋Š” ์–ด๋ถ€๋“ค์€
01:29
are making much more money now, from tourism.
22
89244
3484
์ง€๊ธˆ์€ ๊ด€๊ด‘์œผ๋กœ ํ›จ์”ฌ ๋งŽ์€ ๋ˆ์„ ๋ฒŒ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
01:34
Now, when we can align economic needs with conservation,
23
94066
3835
์˜ค๋Š˜๋‚ , ์šฐ๋ฆฌ๊ฐ€ ๊ฒฝ์ œ์  ํ•„์š”๋ฅผ ๋Œ€ํ™”๋กœ ์กฐ์ •ํ•  ์ˆ˜ ์žˆ์„ ๋•Œ,
01:37
miracles can happen.
24
97925
1333
๊ธฐ์ ์€ ์ผ์–ด๋‚  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
01:40
And we have seen similar recoveries all over the world.
25
100314
2960
๊ทธ๋ฆฌ๊ณ  ์šฐ๋ฆฌ๋Š” ์ „ ์„ธ๊ณ„์—์„œ ๋น„์Šทํ•œ ์‚ฌ๋ก€๋ฅผ ๋ด์™”์Šต๋‹ˆ๋‹ค.
01:44
I spent 20 years studying human impacts in the ocean.
26
104672
4178
์ €๋Š” 20๋…„ ๋™์•ˆ ์ธ๊ฐ„์ด ๋ฐ”๋‹ค์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์—ฐ๊ตฌํ–ˆ์Šต๋‹ˆ๋‹ค.
01:50
But when I saw firsthand the regeneration of places like Cabo Pulmo,
27
110379
6634
๊ทธ๋Ÿฌ๋‚˜ ์นด๋ณด ํ’€๋ชจ๊ฐ™์€ ๋ณ€ํ™”๋ฅผ ์ง์ ‘ ๋ณด์ž
01:57
that gave me hope.
28
117037
1356
ํฌ๋ง์ด ์ƒ๊ฒผ์Šต๋‹ˆ๋‹ค.
01:59
So I decided to quit my job as a university professor
29
119052
4795
๊ทธ๋ž˜์„œ ์ €๋Š” ์ด๋ ‡๊ฒŒ ๋ฐ”๋‹ค๋ฅผ ์ง€ํ‚ค๋Š” ๋ฐ์— ์ œ ์‚ถ์„ ๋ฐ”์น˜๊ธฐ ์œ„ํ•ด
02:03
to dedicate my life to save more ocean places like this.
30
123871
4259
๋Œ€ํ•™ ๊ต์ˆ˜์ง์„ ๊ทธ๋งŒ ๋’€์Šต๋‹ˆ๋‹ค.
02:09
In the last 10 years, our team at National Geographic Pristine Seas
31
129053
4635
์ง€๋‚œ 10๋™์•ˆ ๋‚ด์…”๋„ ์ง€์˜ค๊ทธ๋ž˜ํ”ฝ ์†Œ์†์˜ ์šฐ๋ฆฌ ํŒ€์€
02:13
has explored, surveyed and documented
32
133712
3238
๋ฐ”๋‹ค์— ๋‚จ์€ ๋ช‡๋ช‡ ์ž์—ฐ ๊ทธ๋Œ€๋กœ์˜ ์žฅ์†Œ๋“ค์„
02:16
some of the wildest places left in the ocean
33
136974
2841
ํƒํ—˜ํ•˜๊ณ , ์กฐ์‚ฌํ•˜๊ณ , ๊ธฐ๋กํ–ˆ๊ณ ,
02:19
and worked with governments to protect them.
34
139839
2460
๊ทธ๊ฒƒ๋“ค์„ ์ง€ํ‚ค๊ธฐ ์œ„ํ•ด ์ •๋ถ€์™€ ํ•จ๊ป˜ ๋…ธ๋ ฅํ–ˆ์Šต๋‹ˆ๋‹ค.
02:22
These are all now protected, covering a total area half the size of Canada.
35
142704
4381
์ด๊ฒƒ๋“ค์€ ๋ชจ๋‘ ๋ณดํ˜ธ๋˜์–ด ๋ชจ๋“  ๋ฐ”๋‹ค์—์„œ ์บ๋‚˜๋‹ค์˜ ๋ฐ˜ ๋งŒํ•œ ์˜์—ญ์„ ๋ฎ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
02:27
(Applause)
36
147531
5403
(๋ฐ•์ˆ˜)
02:32
These places are the Yellowstones and the Serengetis of the sea.
37
152958
5647
์ด ๊ณณ๋“ค์ด ๋ฐ”๋‹ค์˜ ์˜๋กœ์Šคํ†ค๊ฐ•์ด๊ณ  ์„ธ๋ ๊ฒŒํ‹ฐ์ž…๋‹ˆ๋‹ค.
02:39
These are places where you jump in the water
38
159567
2754
์ด ๊ณณ์€ ์—ฌ๋Ÿฌ๋ถ„์ด ๋ฌผ ์†์—์„œ ๋›ฐ์–ด๋†€๋‹ค๊ฐ€
02:42
and are immediately surrounded by sharks.
39
162345
2667
์ž ์‹œํ›„ ์ƒ์–ด๊ฐ€ ๋‚˜ํƒ€๋‚˜ ์—ฌ๋Ÿฌ๋ถ„์„ ๋‘˜๋Ÿฌ์Œ€๋งŒํ•œ ์žฅ์†Œ์ž…๋‹ˆ๋‹ค.
02:45
(Laughter)
40
165036
1444
(์›ƒ์Œ)
02:46
And this is good,
41
166504
1633
๊ทธ๋ฆฌ๊ณ  ์ƒ์–ด๊ฐ€ ํ•ด์–‘์ƒํƒœ๊ณ„์˜ ๊ฑด๊ฐ•์„ ๋‚˜ํƒ€๋‚ด๋Š”
02:48
because the sharks are a good indicator of the health of the ecosystem.
42
168161
3892
์ข‹์€ ์ƒ์ง•์ด๊ธฐ ๋•Œ๋ฌธ์— ์ด๊ฒƒ์€ ์ข‹์€ ํ˜„์ƒ์ž…๋‹ˆ๋‹ค.
02:52
These places are time machines
43
172998
2452
์ด๋Ÿฐ ์žฅ์†Œ๋“ค์€ ์šฐ๋ฆฌ๋ฅผ 1000๋…„ ์ „ ๋ฐ”๋‹ค๋กœ ๋ฐ๋ ค๊ฐ€๋Š” ํƒ€์ž„๋จธ์‹ ์ž…๋‹ˆ๋‹ค.
02:55
that take us to the ocean of 1,000 years ago.
44
175474
2484
02:58
But they also show us what the future ocean could be like.
45
178553
3611
๊ทธ๊ฒƒ๋“ค์€ ๋ฏธ๋ž˜์˜ ๋ฐ”๋‹ค๊ฐ€ ์–ด๋–จ์ง€ ๋ณด์—ฌ์ฃผ๊ธฐ๋„ ํ•ฉ๋‹ˆ๋‹ค.
03:03
Because the ocean has extraordinary regenerative power,
46
183097
4064
์™œ๋ƒํ•˜๋ฉด ๋ฐ”๋‹ค๋Š” ์šฐ๋ฆฌ๊ฐ€ ๋‹จ์ง€ ๋ช‡๋…„๋งŒ์— ๋ณธ ๊ฒƒ๊ณผ ๊ฐ™์ด
03:07
we have seen great recovery in just a few years.
47
187185
2801
๋†€๋ผ์šด ์ž์ •๋Šฅ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.
03:10
We just need to protect many more places at risk
48
190383
3729
์œ„ํ—˜์— ์ฒ˜ํ•œ ๊ณณ๋“ค์„ ๋ณดํ˜ธํ•ด์„œ
03:14
so they can become wild and full of life again.
49
194136
3200
์•ผ์ƒ์˜ ์ƒํƒœ๋กœ ์ƒ๋ช…์ด ๊ฐ€๋“ํ•˜๊ฒŒ ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.
03:18
But today, only two percent of the ocean
50
198069
3928
ํ•˜์ง€๋งŒ ์˜ค๋Š˜๋‚  ๋ฐ”๋‹ค์˜ 2%๋งŒ์ด
03:22
is fully protected from fishing and other activities.
51
202021
3600
๋‚š์‹œ์™€ ๋‹ค๋ฅธ ํ™œ๋™์œผ๋กœ๋ถ€ํ„ฐ ๋ณดํ˜ธ๋ฐ›๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
03:26
And that's not enough.
52
206030
1466
๊ทธ๊ฒƒ์œผ๋กœ๋Š” ์ถฉ๋ถ„ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
03:28
Studies suggest that we need at least 30 percent of the ocean under protection
53
208409
4810
์—ฐ๊ตฌ๋“ค์€ ํ•ด์–‘์ƒ๋ฌผ์„ ๊ตฌํ•˜๋Š” ๊ฒƒ๋ฟ์•„๋‹ˆ๋ผ ์šฐ๋ฆฌ์˜ ์‚ถ์„ ์œ„ํ•ด
03:33
not just to save marine life, but to save us, too.
54
213243
3017
์ ์–ด๋„ 30%์˜ ๋ณดํ˜ธ๋œ ๊ณณ์ด ํ•„์š”ํ•˜๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.
03:36
Because the ocean gives us more than half of the oxygen we breathe, food,
55
216284
5399
๋ฐ”๋‹ค๊ฐ€ ์šฐ๋ฆฌ๊ฐ€ ์ˆจ์‰ฌ๋Š”๋ฐ ํ•„์š”ํ•œ ์‚ฐ์†Œ์™€ ์Œ์‹์˜ ๋ฐ˜ ์ด์ƒ์„ ์ œ๊ณตํ•˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.
03:41
it absorbs much of the carbon pollution
56
221707
2497
๋˜ํ•œ ์šฐ๋ฆฌ๊ฐ€ ๊ณต๊ธฐ์ค‘์œผ๋กœ ๋ฑ‰์€
03:44
that we throw in the atmosphere.
57
224228
1887
๋งŽ์€ ํƒ„์†Œ ์˜ค์—ผ๋ฌผ๋„ ํก์ˆ˜ํ•ฉ๋‹ˆ๋‹ค.
03:46
We need a healthy ocean to survive.
58
226720
2713
์šฐ๋ฆฌ๋Š” ์‚ด๊ธฐ์œ„ํ•ด ๊ฑด๊ฐ•ํ•œ ๋ฐ”๋‹ค๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.
03:50
Now, is there a way to accelerate ocean protection?
59
230529
3238
๊ทธ๋ ‡๋‹ค๋ฉด ํ•ด์–‘ ๋ณดํ˜ธ๋ฅผ ๊ฐ€์†์‹œํ‚ฌ ๋ฐฉ๋ฒ•์ด ์žˆ์„๊นŒ์š”?
03:55
I think so.
60
235490
1150
์žˆ๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.
03:57
And it involves us looking at the high seas.
61
237077
3722
๊ทธ๋ฆฌ๊ณ  ์ด๊ฒƒ์€ ์šฐ๋ฆฌ๊ฐ€ ๊ณตํ•ด๋ฅผ ๋ณด๋Š” ๊ฒƒ์„ ํฌํ•จํ•ฉ๋‹ˆ๋‹ค.
04:01
Now, what are the high seas?
62
241165
1611
๊ทธ๋Ÿผ, ๊ณตํ•ด๊ฐ€ ๋ฌด์—‡์ผ๊นŒ์š”?
04:02
Now coastal countries have authority over 200 nautical miles from shore.
63
242800
5515
์˜ค๋Š˜๋‚ ์˜ ํ•ด์•ˆ๊ตญ๊ฐ€๋“ค์€ ํ•ด์•ˆ์„ ์—์„œ 200ํ•ด๋ฆฌ๊นŒ์ง€๋ฅผ ์˜ํ•ด๋กœ ํ•ฉ๋‹ˆ๋‹ค.
04:09
Everything beyond those areas are called the high seas.
64
249187
3954
๊ทธ ๊ณต๊ฐ„ ์ด์™ธ์˜ ๋ชจ๋“  ๊ณณ์„ ๊ณตํ•ด๋ผ๊ณ  ํ•ฉ๋‹ˆ๋‹ค.
04:13
In dark blue on this map.
65
253165
1666
์ง€๋„์˜ ๋‚จ์ƒ‰๋ถ€๋ถ„์ด์ฃ .
04:15
No country owns the high seas,
66
255363
2428
์•„๋ฌด๋„ ๊ณตํ•ด๋ฅผ ์†Œ์œ ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
04:17
no country is responsible for them,
67
257815
2310
์–ด๋–ค ๋‚˜๋ผ๋„ ๊ณตํ•ด์— ๋Œ€ํ•œ ์ฑ…์ž„์ด ์—†์Šต๋‹ˆ๋‹ค.
04:20
but they all are, so it's a little like the Wild West.
68
260149
3166
๊ทธ๋ž˜์„œ ๊ณตํ•ด๋Š” ํ™ฉ๋Ÿ‰ํ•œ ๋ฏธ๊ตญ ์„œ๋ถ€์™€ ๊ฐ™์Šต๋‹ˆ๋‹ค.
04:23
And there are two main types of fishing in the high seas.
69
263923
2698
๊ณตํ•ด์—์„œ ๊ณ ๊ธฐ๋ฅผ ์žก๋Š” ๋‘ ๊ฐ€์ง€ ๋ฐฉ๋ฒ•์ด ์žˆ์Šต๋‹ˆ๋‹ค.
04:26
At the bottom and near the surface.
70
266645
2381
๊นŠ์€ ๊ณณ, ๋˜๋Š” ํ‘œ๋ฉด ๊ฐ€๊นŒ์ด ์ž…๋‹ˆ๋‹ค.
04:29
Bottom trawling is the most destructive practice in the world.
71
269668
4763
์ €์ธ๋ง ์–ด์„ ์€ ์„ธ์ƒ์—์„œ ๊ฐ€์žฅ ํŒŒ๊ณผ์ ์ธ ๊ฒƒ์ž…๋‹ˆ๋‹ค
04:35
Super trawlers, the largest fishing vessels in the ocean,
72
275067
3532
๊ฐ€์žฅ ํฐ ์–ด์„ ์ธ ๋Œ€ํ˜•์–ด์„ ์€
04:38
have nets so large that they can hold a dozen 747 jets.
73
278623
6439
๋ณด์ž‰747์ ๋ณด๊ธฐ 12๋Œ€๋ฅผ ์žก์„ ์ •๋„๋กœ ํฐ ๊ทธ๋ฌผ์„ ๊ฐ€์กŒ์Šต๋‹ˆ๋‹ค.
04:46
These huge nets destroy everything in their paths --
74
286417
4794
์ด ๊ฑฐ๋Œ€ํ•œ ๊ทธ๋ฌผ์ด ๋ช‡์ฒœ ๋…„์ด ๋์„ ์ˆ˜๋„ ์žˆ๋Š”
04:51
including deep corals that grow on sea mounds,
75
291235
3333
์‹ฌํ•ด์˜ ํ•ด์‚ฐ์—์„œ ์ž๋ผ๋Š” ์‚ฐํ˜ธ๊ฐ™์ด
04:54
which can be thousands of years old.
76
294592
2668
๋ฐฐ๊ฐ€ ๊ฐ€๋Š” ๊ธธ์˜ ๋ชจ๋“  ๊ฒƒ์„ ํŒŒ๊ดดํ•ฉ๋‹ˆ๋‹ค.
04:57
And fishing near the surface targets mostly species
77
297284
3309
ํ‘œ๋ฉด ๊ฐ€๊นŒ์ด์—์„œ ํ•˜๊ฒŒ ๋˜๋Š” ์กฐ์—…์€
05:00
that migrate between the high seas and country's waters,
78
300617
3039
์ฐธ์น˜๋‚˜ ์ƒ์–ด์ฒ˜๋Ÿผ ๊ณตํ•ด์™€ ์˜ํ•ด๋ฅผ ์˜ค๊ฐ€๋Š”
05:03
like tuna and sharks.
79
303680
1400
๋Œ€๋ถ€๋ถ„์˜ ์ข…๋“ค์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค.
05:05
And many of these species are threatened because of too much fishing
80
305720
3357
์ด๋“ค ์ค‘ ๋งŽ์€ ๊ฒƒ๋“ค์ด ๊ณผ๋„ํ•œ ๋‚š์‹œ์™€ ์ข‹์ง€ ์•Š์€ ๊ด€๋ฆฌ๋กœ
05:09
and bad management.
81
309101
1267
๋ฉธ์ข… ์œ„๊ธฐ์— ์ง๋ฉดํ–ˆ์Šต๋‹ˆ๋‹ค.
05:11
Now, who fishes in the high seas?
82
311133
2200
๊ทธ๋ ‡๋‹ค๋ฉด ๋ˆ„๊ฐ€ ๊ณตํ•ด์—์„œ ๋‚š์‹œ๋ฅผ ํ• ๊นŒ์š”?
05:14
Until now, it was difficult to know exactly,
83
314228
3222
์•„์ง๊นŒ์ง€๋Š” ๊ตญ๊ฐ€๋“ค์ด ์›๊ฑฐ๋ฆฌ ๋‚š์‹œ์— ๋Œ€ํ•ด
05:17
because countries have been very secretive
84
317474
2317
์ƒ๋‹นํžˆ ๋น„๋ฐ€์Šค๋Ÿฝ๊ธฐ ๋•Œ๋ฌธ์—
05:19
about the long-distance fishing.
85
319815
2134
์ž˜ ์•Œ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.
05:22
But now, satellite technology allows us to track individual boats.
86
322252
5720
ํ•˜์ง€๋งŒ ์ด์ œ, ์œ„์„ฑ๊ธฐ์ˆ ์€ ๊ฐ๊ฐ์˜ ๋ณดํŠธ๋ฅผ ์ถ”์ ํ•˜๋„๋ก ๋„์™€์ค๋‹ˆ๋‹ค.
05:28
This is a game-changer.
87
328799
1534
ํŒ์„ธ๊ฐ€ ๋’ค๋ฐ”๋€Œ์—ˆ์Šต๋‹ˆ๋‹ค.
05:31
And this is the first time
88
331583
1279
๊ทธ๋ฆฌ๊ณ  ์ด์ œ ์—ฌ๋Ÿฌ๋ถ„์ด ๋ณด์‹ค ๊ฒƒ์€
05:32
we are presenting the data that you are going to see.
89
332886
3440
์ €ํฌ๊ฐ€ ์ฒ˜์Œ์œผ๋กœ ์ž๋ฃŒ๋ฅผ ๊ณต๊ฐœํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
05:37
I'm going to show you the tracks of two boats
90
337179
2651
์œ„์„ฑ ์ž๋™ ์‹๋ณ„ ์‹œ์Šคํ…œ์„ ์ด์šฉํ•˜์—ฌ
05:39
over the course of a year,
91
339854
2334
์ผ๋…„ ๋™์•ˆ์˜ ๋‘ ๋ณดํŠธ์˜
05:42
using a satellite automated identification system.
92
342212
3400
ํ•ญ๋กœ๋ฅผ ๋ณด์—ฌ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.
05:46
This is a long-liner, fishing around the southern coast of Africa.
93
346386
4251
์ด๊ฒƒ์€ ์•„ํ”„๋ฆฌ์นด ๋‚จ์ชฝ ํ•ด์•ˆ์—์„œ ์กฐ์—…ํ•˜๋Š” ์ฃผ๋‚™์–ด์„ ์ž…๋‹ˆ๋‹ค.
05:51
After a few months fishing there, the boat goes to Japan to resupply,
94
351457
4644
๋ช‡๋‹ฌ ๋™์•ˆ ๋‚š์‹œํ•œ ํ›„ ์–ด์„ ์€ ๊ธ‰์œ ๋ฅผ ์œ„ํ•ด ์ผ๋ณธ์œผ๋กœ ๊ฐ‘๋‹ˆ๋‹ค.
05:56
and shortly after, here it is, fishing around Madagascar.
95
356125
3484
๊ทธ๋ฆฌ๊ณ  ์ž ์‹œ ํ›„ ๋งˆ๋‹ค๊ฐ€์Šค์นด๋ฅด ์ฃผ๋ณ€์— ์žˆ์Šต๋‹ˆ๋‹ค.
06:00
This is a Russian trawler fishing, probably, for cod,
96
360371
5325
์ด๊ฒƒ์€ ์•„๋งˆ ๋Ÿฌ์‹œ์•„ ์˜ํ•ด์—์„œ ๋Œ€๊ตฌ๋ฅผ ์žก์œผ๋ ค๋Š” ๋Ÿฌ์‹œ์•„ ์–ด์„ ์ž…๋‹ˆ๋‹ค.
06:05
in Russian waters,
97
365720
1214
06:06
and then across the high seas of the north Atlantic.
98
366958
3067
๊ทธ๋ฆฌ๊ณ  ๋ถ๊ทน์˜ ๊ณตํ•ด๋ฅผ ๊ฐ€๋กœ์ง€๋ฆ…๋‹ˆ๋‹ค
06:10
Thanks to Global Fishing Watch,
99
370895
2111
๊ธ€๋กœ๋ฒŒ ์–ด์—… ๊ฐ์‹œ๊ธฐ๊ตฌ ๋•๋ถ„์—
06:13
we have been able to track over 3,600 boats
100
373030
4444
์ €ํฌ๋Š” 20๊ฐœ ์ด์ƒ์˜ ๊ตญ๊ฐ€์—์„œ ๊ณตํ•ด์—์„œ ๋‚š์‹œ๋ฅผ ํ•˜๋Š”
06:17
from more than 20 countries, fishing in the high seas.
101
377498
3342
3,600์ฒ™ ์ด์ƒ์˜ ์–ด์„ ์„ ์ถ”์ ํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
06:21
They use satellite positioning and machine-learning technology
102
381625
3683
๊ทธ๋“ค์€ ํ™”๋ฉด์˜ ํฐ ์ ์—์„œ ๋ฐฐ๋“ค์ด
06:25
to automatically identify if a boat is just sailing or fishing,
103
385332
4784
๊ทธ์ € ํ•ญํ•ดํ•˜๋Š” ๊ฒƒ์ธ์ง€ ๋‚š์‹œํ•˜๋Š” ๊ฒƒ์ธ์ง€ ์ •ํ™•ํžˆ ์‹๋ณ„ํ•˜๊ธฐ ์œ„ํ•ด
06:30
which are the white spots here.
104
390140
1518
์œ„์„ฑ ์œ„์น˜๊ธฐ์ˆ ๊ณผ ๋จธ์‹  ๋Ÿฌ๋‹ ๊ธฐ์ˆ ์„ ์ด์šฉํ•ฉ๋‹ˆ๋‹ค.
06:32
So with an international group of colleagues,
105
392719
2119
๊ทธ๋ž˜์„œ ์ „์„ธ๊ณ„์˜ ์ œ ๋™๋ฃŒ๋“ค๊ณผ ์ €๋Š”
06:34
we decided to investigate
106
394862
1817
๊ณตํ•ด์—์„œ ๋‚š์‹œํ•˜๋Š” ์‚ฌ๋žŒ ๋ฟ ์•„๋‹ˆ๋ผ ๊ทธ๊ฒƒ์œผ๋กœ ์ด์ต์„ ๋ณด๋Š” ์‚ฌ๋žŒ๊นŒ์ง€
06:36
not only who fishes in the high seas, but who benefits from it.
107
396703
4495
์ฐพ์•„๋‚ด๊ธฐ๋กœ ํ–ˆ์Šต๋‹ˆ๋‹ค.
06:42
My colleague, Juan Mayorga,
108
402140
1433
์ œ ๋™๋ฃŒ์ธ ํ›„์•ˆ ๋งˆ์š”๋ฅด๊ฐ€๋Š”
06:43
at the University of California, Santa Barbara,
109
403597
2226
์‚ฐํƒ€ ๋ฐ”๋ฐ”๋ผ์˜ ์บ˜๋ฆฌํฌ๋‹ˆ์•„ ๋Œ€ํ•™์—์„œ
06:45
has produced detailed maps of fishing effort,
110
405847
2190
๋ฐ”๋‹ค์˜ ๋ชจ๋“  ๋ถ€๋ถ„์—์„œ
06:48
which means how much time and fuel is spent fishing
111
408061
2979
์–ผ๋งˆ์˜ ์‹œ๊ฐ„๊ณผ ์—ฐ๋ฃŒ๊ฐ€ ๋‚š์‹œ์— ๋“œ๋Š”์ง€๋ฅผ ์˜๋ฏธํ•˜๋Š”
06:51
in every pixel in the ocean.
112
411064
1933
์–ดํš ๋…ธ๋ ฅ์˜ ์ž์„ธํ•œ ์ง€๋„๋ฅผ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค.
06:53
We have a map for every country.
113
413680
2134
์ €ํฌ๋Š” ๋ชจ๋“  ๊ตญ๊ฐ€์˜ ์ง€๋„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
06:56
China, Taiwan, Japan, Korea and Spain alone
114
416561
3548
๊ณตํ•ด์—์„œ ๋‚š์‹œํ•˜๋Š” ์–ด์„  ์ค‘ 80%๊ฐ€ ์ค‘๊ตญ, ๋Œ€๋งŒ, ํ•œ๊ตญ, ์ŠคํŽ˜์ธ ์ž…๋‹ˆ๋‹ค.
07:00
account for almost 80 percent of the fishing in the high seas.
115
420133
3824
07:04
When we put all of the countries together,
116
424768
2635
๋ชจ๋“  ๋‚˜๋ผ๋“ค์„ ํ•œ ๊ณณ์— ๋ชจ์œผ๋ฉด
07:07
this is what we get.
117
427427
1333
์ด๋ ‡๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.
07:09
Because we know the identity of every boat in the database,
118
429792
5571
์ €ํฌ๋Š” ์ด ์ž๋ฃŒ์˜ ๋ชจ๋“  ์–ด์„ ์˜ ์‹ ์›์„ ์•Œ๊ธฐ ๋•Œ๋ฌธ์—
07:15
we know its size, its tonnage, the power of its engines,
119
435387
4341
๊ทธ๋“ค์˜ ํฌ๊ธฐ, ์šฉ์  ํ†ค์ˆ˜, ์—”์ง„ ์„ธ๊ธฐ
07:19
how many crew are on board.
120
439752
1733
๊ทธ๋ฆฌ๊ณ  ๋ช‡๋ช…์˜ ์„ ์›์ด ์žˆ๋Š”์ง€๋ฅผ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค
07:22
With this information, we can calculate fuel costs, labor costs, etc.
121
442046
4501
์ด ์ •๋ณด๋กœ ์ €ํฌ๋Š” ์—ฐ๋ฃŒ๋น„์šฉ๊ณผ ์ธ๊ฑด๋น„ ๋“ฑ์„ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
07:27
So for the first time,
122
447157
1930
๊ทธ๋ž˜์„œ ์ €ํฌ๋Š” ๊ณตํ•ด์—์„œ์˜ ์–ดํš ๋น„์šฉ์„
07:29
we have been able to map the costs of fishing in the high seas.
123
449111
4250
์ตœ์ดˆ๋กœ ์ง€๋„๋กœ ๊ทธ๋ฆด ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
07:34
The darker the red, the higher the costs.
124
454315
2734
์ƒ‰์ด ์ง„ํ•  ์ˆ˜๋ก ๋” ๋งŽ์€ ๋น„์šฉ์ด ๋“ญ๋‹ˆ๋‹ค.
07:37
Thanks to our colleagues at the University of British Columbia,
125
457855
2992
๋ธŒ๋ฆฌํ‹ฐ์‹œ ์ปฌ๋Ÿผ๋น„์•„ ๋Œ€ํ•™๊ต์˜ ์ œ ์นœ๊ตฌ ๋•๋ถ„์—
07:40
we know how much every country is actually fishing.
126
460871
3055
์ €ํฌ๋Š” ๋ชจ๋“  ๊ตญ๊ฐ€๋“ค์ด ์–ผ๋งˆ๋‚˜ ์กฐ์—…ํ•˜๋Š”์ง€ ์•Œ์•„๋ƒˆ์Šต๋‹ˆ๋‹ค
07:44
And we know the price of the fish as it comes off the vessel.
127
464268
3245
๊ทธ๋ฆฌ๊ณ  ์–ด์„ ์—์„œ ๋‚˜์˜ค๋Š” ์–ดํš๋ฌผ๋“ค ๊ฐ€๊ฒฉ๋„ ์•Œ์•„๋ƒˆ์Šต๋‹ˆ๋‹ค.
07:48
Combined with the data on effort,
128
468038
2365
์ด๋Ÿฌํ•œ ์ž๋ฃŒ๋“ค์„ ์ข…ํ•ฉํ•œ ๊ฒฐ๊ณผ
07:50
we have been able to map the revenue of fishing the high seas.
129
470427
3710
๊ณตํ•ด์—์„œ์˜ ๋‚š์‹œ๋กœ ์–ป๋Š” ์ด์ต์„ ์ง€๋„๋กœ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
07:54
The darker the blue, the higher the revenue.
130
474879
2436
์ƒ‰์ด ์ง„ํ•  ์ˆ˜๋ก, ์ด์ต์ด ํฝ๋‹ˆ๋‹ค.
07:57
We have costs, and we have revenue.
131
477982
2267
์ €ํฌ๋Š” ๋น„์šฉ๊ณผ ์ด์ต์— ๋Œ€ํ•ด ์•Œ์•„๋ƒˆ์Šต๋‹ˆ๋‹ค.
08:00
So for the first time,
132
480887
1619
๊ทธ๋ž˜์„œ ์ตœ์ดˆ๋กœ ๊ณตํ•ด์—์„œ์˜ ๋‚š์‹œ์˜
08:02
we have been able to map the profitability of fishing in the high seas.
133
482530
5128
์ˆ˜์ต์„ฑ์„ ์ง€๋„๋กœ ๊ทธ๋ฆด ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
08:08
Now I'm going to show you a map.
134
488863
1531
์ด์ œ, ์ €๋Š” ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜ ์ง€๋„๋ฅผ ๋ณด์—ฌ๋“œ๋ฆด ๊ฒ๋‹ˆ๋‹ค.
08:10
Red colors mean we are losing money by fishing in that part of the ocean.
135
490712
5194
๋นจ๊ฐ„์ƒ‰์€ ๊ทธ ์žฅ์†Œ์—์„œ ์–ดํšํ•จ์œผ๋กœ์จ ์ ์ž๋ฅผ ๋‚ธ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.
08:16
Blue colors mean it's profitable.
136
496641
2200
ํŒŒ๋ž€์ƒ‰์€ ์ˆ˜์ต์„ฑ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.
08:19
Here it is.
137
499619
1150
๋ณด์‹ญ์‹œ์˜ค.
08:21
It seems mostly profitable.
138
501707
2039
๋Œ€๋ถ€๋ถ„ ์ˆ˜์ต์„ฑ ์žˆ๊ฒŒ ๋ณด์ž…๋‹ˆ๋‹ค.
08:23
But there are two more factors we have to take into account.
139
503770
4337
๊ทธ๋Ÿฐ๋ฐ ์šฐ๋ฆฌ๊ฐ€ ์•Œ์•„์•ผ ํ•  ๋‘ ๊ฐ€์ง€ ์‚ฌ์‹ค์ด ๋” ์žˆ์Šต๋‹ˆ๋‹ค.
08:28
First, recent investigations reveal
140
508635
3571
์ฒซ์งธ, ์ตœ๊ทผ์˜ ์—ฐ๊ตฌ๋Š” ๊ณตํ•ด ์–ดํš์—
08:32
the use of forced labor, or slave labor,
141
512230
3482
๊ฐ•์ œ ๋…ธ๋™์ด๋‚˜ ๋…ธ์˜ˆ ๋…ธ๋™์ด ์“ฐ์ž„์„ ๋ฐํ˜€๋ƒˆ์Šต๋‹ˆ๋‹ค.
08:35
in high seas fishing.
142
515736
1309
08:37
Companies use it to cut costs, to generate profits.
143
517641
3539
๊ธฐ์—…์€ ์ธ๊ฑด๋น„๋ฅผ ์ค„์—ฌ ์ด์œค์„ ๋Š˜๋ฆฌ๊ธฐ ์œ„ํ•ด ๊ทธ๋“ค์„ ์”๋‹ˆ๋‹ค.
08:42
And second, every year, governments subsidize high seas fishing
144
522135
5332
๊ทธ๋ฆฌ๊ณ  ๋‘˜์งธ, ์ •๋ถ€๋Š” ๋งค๋…„ ๊ณตํ•ด ์–ดํš์—
08:47
with more than four billion dollars.
145
527491
2401
40์–ต ๋‹ฌ๋Ÿฌ๊ฐ€ ๋„˜๋Š” ๋ณด์กฐ๊ธˆ์„ ์ง€๊ธ‰ํ•ฉ๋‹ˆ๋‹ค.
08:51
Let's go back to the map of profits.
146
531270
1738
๋‹ค์‹œ ์ˆ˜์ต์„ฑ ์ง€๋„๋กœ ๋Œ์•„๊ฐ€ ๋ด…์‹œ๋‹ค.
08:53
If we assume fair wages,
147
533032
2276
์šฐ๋ฆฌ๊ฐ€ ๋…ธ์˜ˆ ๋…ธ๋™์ด ์•„๋‹Œ
08:55
which means not slave labor,
148
535332
2517
๊ณต์ •ํ•œ ์ž„๊ธˆ์„ ์ถ”์ •ํ•ด๋ณด๊ณ 
08:57
and we remove the subsidies from our calculation,
149
537873
4293
๋ณด์กฐ๊ธˆ์„ ์—†์• ๋ฉด
09:02
the map turns into this.
150
542190
2053
์ง€๋„๋Š” ์ด๋ ‡๊ฒŒ ๋ฐ”๋€๋‹ˆ๋‹ค.
09:05
Fishing is truly profitable in only half of the high seas fishing grounds.
151
545807
6031
์–ดํš์€ ์‚ฌ์‹ค ๊ณตํ•ด์˜ ์ ˆ๋ฐ˜ ์ •๋„์—์„œ ์ˆ˜์ต์„ฑ ์žˆ์Šต๋‹ˆ๋‹ค.
09:12
In fact, on aggregate,
152
552992
2269
์‚ฌ์‹ค, ์ข…ํ•ฉํ•ด์„œ ๊ณ„์‚ฐํ•ด๋ณด๋ฉด
09:15
subsidies are four times larger than the profits.
153
555285
4032
๋ณด์กฐ๊ธˆ์ด ์ด์œค๋ณด๋‹ค ๋„ค ๋ฐฐ๋‚˜ ๋” ํฝ๋‹ˆ๋‹ค.
09:20
So we have five countries doing most of the fishing in the high seas
154
560548
3484
๊ทธ๋ž˜์„œ ์ €ํฌ๋Š” ๊ณตํ•ด์—์„œ ์ฃผ๋กœ ์–ดํšํ•˜๋Š” 5๊ฐœ์˜ ๋‚˜๋ผ์™€
09:24
and the economics are dependent on huge government subsidies,
155
564056
3516
๊ทธ๋“ค์˜ ์ž๋ณธ์ด ์ •๋ถ€์˜ ์—„์ฒญ๋‚œ ๋ณด์กฐ๊ธˆ์—์„œ ์˜จ๋‹ค๋Š” ๊ฒƒ
09:27
and for some countries, on human rights violations.
156
567596
3467
๊ทธ๋ฆฌ๊ณ  ๋ช‡ ๋‚˜๋ผ์—์„œ๋Š” ์ธ๊ถŒ์นจํ•ด๊ฐ€ ์žˆ์Œ์„ ์•Œ์•„๋ƒˆ์Šต๋‹ˆ๋‹ค.
09:32
What this economic analysis reveals,
157
572099
2255
์ด๋Ÿฌํ•œ ๊ฒฝ์ œ์  ๋ถ„์„์€ ๊ณตํ•ด ์ „์ฒด์˜ ์–ดํš์ด
09:34
is that practically the entire high seas fishing proposition is misguided.
158
574378
3729
์‚ฌ์‹ค์ƒ ์ž˜๋ชป๋œ ๊ฒƒ์ž„์„ ์•Œ๋ ค์ค๋‹ˆ๋‹ค.
09:38
What sane government would subsidize an industry
159
578647
3771
์–ด๋–ค ์ œ์ •์‹ ์ธ ์ •๋ถ€๊ฐ€ ์ฐฉ์ทจ์™€ ๊ทผ๋ณธ์ ์ธ ํŒŒ๊ดด์ ์ธ ๊ฒƒ์—
09:42
anchored in exploitation and fundamentally destructive?
160
582442
3607
๋ฟŒ๋ฆฌ๋‚ด๋ฆฐ ์‚ฐ์—…์— ๋ณด์กฐ๊ธˆ์„ ์ค๋‹ˆ๊นŒ?
09:46
And not so profitable, anyway.
161
586625
2000
๋˜ํ•œ ์ˆ˜์ต์„ฑ์ด ์—†๊ธฐ๋„ ํ•ฉ๋‹ˆ๋‹ค.
09:49
So, why don't we close all of the high seas to fishing?
162
589307
6856
๊ทธ๋ž˜์„œ ๋ชจ๋“  ๊ณตํ•ด์˜ ์–ดํš์„ ๊ธˆ์ง€์‹œํ‚ค๋Š” ๊ฒƒ์€ ์–ด๋–จ๊นŒ์š”?
09:56
Let's create a giant high seas reserve, two-thirds of the ocean.
163
596842
4627
์ „ ๋ฐ”๋‹ค์˜ 3๋ถ„์˜ 2๋ฅผ ๊ณตํ•ด๋กœ ๋งŒ๋“ค์–ด ๋ด…์‹œ๋‹ค.
10:03
A modeling study from --
164
603438
1787
ํ•œ ๋ชจ๋ธ๋ง ์—ฐ๊ตฌ...
10:05
(Applause)
165
605249
4078
(๋ฐ•์ˆ˜)
10:09
A modeling study from colleagues at UC Santa Barbara,
166
609351
2885
์บ˜๋ฆฌํฌ๋‹ˆ์•„ ๋Œ€ํ•™์˜ ์ œ ๋™๋ฃŒ์˜ ๋ชจ๋ธ๋ง ์—ฐ๊ตฌ๋Š”
10:12
suggests that such reserve would help migratory species like tuna
167
612260
3619
๋ณดํ˜ธ๊ตฌ์—ญ์ด ์ฐธ์น˜๊ฐ™์ด ๋ฐ€๋ฌผ๊ณผ ์ฐ๋ฌผ์„ ์˜ค๊ฐ€๋Š” ์ข…๋“ค์ด
10:15
recover in the high seas.
168
615903
1650
๊ณตํ•ด์— ์‚ด ์ˆ˜ ์žˆ๊ฒŒ ๋„์™€์ค€๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.
10:17
And part of that increased abundance would spill over into the countries' waters,
169
617577
4281
๊ทธ๋ฆฌ๊ณ  ๋Š˜์–ด๋‚œ ๊ฒƒ๋“ค ์ค‘ ์ผ๋ถ€๋Š” ์˜ํ•ด๋กœ ๋Œ์•„๊ฐ€์„œ
10:21
helping to replenish them.
170
621882
1754
์˜ํ•ด์˜ ๊ณต๊ฐ„์„ ์ฑ„์›๋‹ˆ๋‹ค.
10:23
That would also increase the catch in these waters,
171
623660
3071
์ด๋Š” ์˜ํ•ด์—์„œ์˜ ํฌํš๋Ÿ‰์„ ์ฆ๊ฐ€์‹œํ‚ค๊ณ 
10:26
and so would the profits,
172
626755
1317
์–ดํš ๋น„์šฉ์ด ๊ฐ์†Œํ•˜๊ธฐ ๋•Œ๋ฌธ์—
10:28
because the cost of fishing would be lowered.
173
628096
2255
์ˆ˜์ต์„ฑ๋„ ์žˆ์Šต๋‹ˆ๋‹ค.
10:30
And the ecological benefits would be huge,
174
630787
2585
๋˜ํ•œ ์ฐธ์น˜์™€ ์ƒ์–ด๊ฐ™์€ ํฐ ํฌ์‹์ž๋“ค๊ณผ ๊ฐ™์€ ์ข…๋“ค์ด
10:34
because these species of large predators, like tuna and sharks,
175
634463
3292
์ „ ์ƒํƒœ๊ณ„์˜ ๊ฑด๊ฐ•์„ ์•Œ๋งž๊ฒŒ ๋งŒ๋“ค๊ธฐ ๋•Œ๋ฌธ์—
10:37
are key to the health of the entire ecosystem.
176
637779
2962
์ƒํƒœํ•™์  ์ด์ต๋„ ์—„์ฒญ๋‚ฉ๋‹ˆ๋‹ค.
10:41
Therefore, protecting the high seas
177
641606
2503
๋”ฐ๋ผ์„œ ๊ณตํ•ด๋ฅผ ๋ณดํ˜ธํ•˜๋Š” ๊ฒƒ์€
10:44
would have ecological, economic and social benefits.
178
644133
3533
์ƒํƒœํ•™์ , ๊ฒฝ์ œ์ , ์‚ฌํšŒ์  ์ด์ต ๋ชจ๋‘๋ฅผ ๊ฐ€์ ธ์˜ต๋‹ˆ๋‹ค
10:48
But the truth is that most fishing companies
179
648395
2309
๊ทธ๋Ÿฌ๋‚˜ ํ˜„์‹ค์€ ๋Œ€๋ถ€๋ถ„์˜ ์–ดํš ๊ธฐ์—…๋“ค์ด
10:50
don't care about the environment.
180
650728
1865
ํ™˜๊ฒฝ์„ ์‹ ๊ฒฝ์“ฐ์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
10:52
But they would make more money by not fishing in the high seas.
181
652617
3666
๊ทธ๋“ค์€ ๊ทธ์ € ๊ณตํ•ด์—์„œ ์–ดํšํ•˜์ง€ ์•Š์Œ์œผ๋กœ์จ ๋” ๋งŽ์€ ์ด์œค์„ ์–ป์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
10:56
And this would not affect our ability to feed our growing population,
182
656307
5469
๊ทธ๋Ÿฌ๋‚˜ ๊ณตํ•ด๋Š” ์—ฐ์•ˆ๋ณด๋‹ค ์ƒ์‚ฐ์„ฑ์ด ๋–จ์–ด์ ธ
11:01
because the high seas provide only five percent of the global marine catch,
183
661800
5109
์„ธ๊ณ„ ํ•ด์–‘ ํฌํš๋Ÿ‰์˜ ๋‹จ 5%๋งŒ ์ œ๊ณตํ•˜๊ธฐ ๋•Œ๋ฌธ์—
11:08
because the high seas are not as productive as near-shore waters.
184
668184
3460
์ฆ๊ฐ€ํ•˜๋Š” ์ธ๊ตฌ๋ฅผ ๋ชจ๋‘ ๋จน์—ฌ์‚ด๋ฆฌ๋Š” ์šฐ๋ฆฌ์˜ ๋Šฅ๋ ฅ์— ์˜ํ–ฅ์„ ์ฃผ์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
11:12
And most of the catch of the high seas is sold as upscale food items,
185
672438
4957
๊ทธ๋ฆฌ๊ณ  ๊ณตํ•ด์—์„œ ์žก์€ ๋Œ€๋ถ€๋ถ„์˜ ํฌํš๋ฌผ๋“ค์€ ์ฐธ์น˜ํšŒ๋‚˜
11:17
like tuna sashimi or shark fin soup.
186
677419
3438
์ƒฅ์Šคํ•€ ์Šคํ”„์ฒ˜๋Ÿผ ๊ณ ๊ธ‰ ์Œ์‹์œผ๋กœ ํŒ”๋ฆฝ๋‹ˆ๋‹ค
11:21
The high seas catch does not contribute to global food security.
187
681895
4411
๊ณตํ•ด์˜ ํฌํš๋ฌผ์€ ์„ธ๊ณ„ ์‹๋Ÿ‰ ๋ถ€์กฑ์˜ ํ•ด๊ฒฐ์— ๊ธฐ์—ฌํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
11:28
So how are we going to do it?
188
688117
1420
๊ทธ๋Ÿผ ์–ด๋–ป๊ฒŒ ํ•ด์•ผ ํ• ๊นŒ์š”?
11:29
How are we going to protect the high seas?
189
689561
2437
์–ด๋–ป๊ฒŒ ๊ณตํ•ด๋ฅผ ๋ณดํ˜ธํ•ด์•ผ ํ• ๊นŒ์š”?
11:32
As we speak, negotiators at the United Nations
190
692022
2603
์šฐ๋ฆฌ๊ฐ€ ๋งํ•œ ๊ฒƒ์ฒ˜๋Ÿผ, ์œ ์—”์˜ ํ˜‘์ƒ๊ฐ€๋“ค์€
11:34
are beginning discussions on a new agreement to do just that.
191
694649
3665
๊ณตํ•ด๋ฅผ ๋ณดํ˜ธํ•˜๊ธฐ ์œ„ํ•œ ์ƒˆ๋กœ์šด ํ˜‘์ƒ์„ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
11:38
But this cannot happen behind closed doors.
192
698728
2934
ํ•˜์ง€๋งŒ ์„œ๋กœ ์ด์ต๋งŒ์„ ์ฃผ์žฅํ•˜๋Š” ํ•œ ๊ธฐ์ ์€ ์ผ์–ด๋‚  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.
11:42
This is our greatest opportunity.
193
702077
2222
์ด๊ฒƒ์€ ์šฐ๋ฆฌ์˜ ๊ฐ€์žฅ ์ข‹์€ ๊ธฐํšŒ์ž…๋‹ˆ๋‹ค.
11:44
And we all should ensure
194
704323
1715
๊ทธ๋ฆฌ๊ณ  ์šฐ๋ฆฌ๋Š” ๊ตญ๊ฐ€๊ฐ€ ๊ณตํ•ด๋ฅผ ๋ณดํ˜ธํ•˜๊ณ 
11:46
that our countries will support the protection of the high seas
195
706062
5071
๊ธฐ์—…์˜ ์–ดํš์— ๋Œ€ํ•œ ๋ณด์กฐ๊ธˆ์„ ์ค‘๋‹จํ•˜๋„๋ก ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.
11:51
and get rid of subsidies to industrial fishing.
196
711157
3200
11:55
In 2016, 24 countries and the European Union
197
715395
5365
2016๋…„์— ์œ ๋Ÿฝ ์—ฐํ•ฉ๊ณผ 24๊ฐœ ๊ตญ์€
12:00
agreed to protect the Ross Sea,
198
720784
3245
๋กœ์Šคํ•ด๋ฅผ ๋ณดํ˜ธํ•˜๊ธฐ๋กœ ๊ฒฐ์˜ํ–ˆ๋Š”๋ฐ
12:04
the wildest places in Antarctica,
199
724053
2381
๋‚จ๊ทนํ•ด์˜ ๊ฐ€์žฅ ์•ผ์ƒ์˜ ์ง€์—ญ์œผ๋กœ
12:06
full of wildlife like killer whales, leopard seals, penguins.
200
726458
4182
๋ฒ”๊ณ ๋ž˜, ํ‘œ๋ฒ”๋ฌผ๊ฐœ, ํŽญ๊ท„ ๊ฐ™์€ ์ƒ๋ฌผ์ด ๊ฐ€๋“ํ•˜์ฃ .
12:10
And this included fishing nations, like China, Japan, Spain, Russia.
201
730974
5230
์—ฌ๊ธฐ์—๋Š” ์ค‘๊ตญ, ์ผ๋ณธ, ์ŠคํŽ˜์ธ ๋Ÿฌ์‹œ์•„์™€ ๊ฐ™์€ ์–ดํš ๊ตญ๊ฐ€๋„ ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.
12:16
But they decided that protecting such a unique environment
202
736228
4941
๊ทธ๋Ÿฌ๋‚˜ ๊ทธ๋“ค์€ ๋น„๊ต์  ์ ์€ ์ด์ต์„ ์œ„ํ•ด ๊ทธ๊ฒƒ์„ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค
12:21
would be worth more than exploiting it for relatively little benefit.
203
741193
4194
๊ทธ๋Ÿฐ ๋…ํŠนํ•œ ํ™˜๊ฒฝ์„ ๋ณดํ˜ธํ•˜๋Š” ๊ฒƒ์ด ๋” ๊ฐ€์น˜ ์žˆ๋‹ค๊ณ  ํŒ๋‹จํ–ˆ์Šต๋‹ˆ๋‹ค.
12:25
And this is exactly the type of cooperation
204
745883
3496
์ •ํ™•ํžˆ ์ด๋Ÿฐ ํ˜‘๋ ฅ๊ณผ
12:29
and willingness to set aside differences
205
749403
1961
์ฐจ์ด์ ์„ ์ œ์ณ๋†“์„ ์˜์ง€๊ฐ€
12:31
that we are going to need.
206
751388
1313
์šฐ๋ฆฌ๊ฐ€ ํ•„์š”ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
12:32
We can do it again.
207
752725
1643
์šฐ๋ฆฌ๋Š” ๋˜ ๋‹ค์‹œ ๊ทธ๊ฒƒ์„ ํ•ด๋‚ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
12:35
If 20 years from now,
208
755315
2588
์ง€๊ธˆ์œผ๋กœ๋ถ€ํ„ฐ 20๋…„ ํ›„
12:37
our children were to jump into any random spot in the ocean,
209
757927
4189
์šฐ๋ฆฌ์˜ ์•„์ด๋“ค์ด ๋ฐ”๋‹ค ์–ด๋Š ๊ณณ์— ๋›ฐ์–ด๋“ ๋‹ค๋ฉด
12:43
what would they see?
210
763451
1334
๊ทธ๋“ค์€ ๋ฌด์—‡์„ ๋ณผ๊นŒ์š”?
12:45
A barren landscape, like much of our seas today,
211
765737
4496
์˜ค๋Š˜๋‚ ์˜ ๋ฐ”๋‹ค์™€ ๊ฐ™์€ ํ™ฉ๋Ÿ‰ํ•œ ์žฅ๋ฉด์ผ๊นŒ์š”?
12:50
or an abundance of life, our legacy to the future?
212
770257
2888
์•„๋‹ˆ๋ฉด ํ’๋ถ€ํ•œ ์ƒ๋ช…๊ณผ ์šฐ๋ฆฌ๊ฐ€ ๋ฏธ๋ž˜์— ๋‚จ๊ธด ์œ ์‚ฐ์ผ๊นŒ์š”?
12:53
Thank you very much.
213
773665
1327
๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
12:55
(Applause)
214
775016
2960
(๋ฐ•์ˆ˜)
12:58
Thank you.
215
778000
1202
๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
12:59
(Applause)
216
779226
4789
(๋ฐ•์ˆ˜)
์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