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Can we get more fish? Degradation and recovery of fisheries - - PowerPoint PPT Presentation

International Conference on Science and Technology for Sustainability 2009: Global Food Security and Sustainability during 9:10-9:50, on September 18, 2009 Can we get more fish? Degradation and recovery of fisheries resources Degradation and


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International Conference on Science and Technology for Sustainability 2009:

Global Food Security and Sustainability

during 9:10-9:50, on September 18, 2009

Can we get more fish?

Degradation and recovery of fisheries resources Degradation and recovery of fisheries resources.

松田裕之 Hiroyuki Matsuda Yokohama National University COE Eco-Risk Asia Program Leader Pew Marine Conservation Fellow 2007 Pew Marine Conservation Fellow 2007

Special thanks to: Drs. J. C. Castilla, Y. Hiyama, H. Ijima, T.

1

Katsukawa, Y. Katsukawa, C. Kikuchi, M. Makino, T. Obara, M. Williams, B. Worm, A. Yatsu,

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SLIDE 2

My 11 recommendations

1. Do not eat high value fish too much! 2. Catch more fish at lower trophic levels; 3 D t t h fi h fi h l 3. Do not use too much fish as fish meal; 4. Reduce discards before and after landings; 5 Establish food markets for temporally fluctuating fishes at 5. Establish food markets for temporally fluctuating fishes at lower trophic levels; 6. Improve the food-processing technology used on small pelagic fishes; pelagic fishes; 7. Switch the target fish to correspond to the temporally dominant species; p 8. Conserve immature fish especially when the species is at a low stock level; 9 Conserve both fish and fishers; 9. Conserve both fish and fishers;

  • 10. Say goodbye to traditional MSY theory;
  • 11. Monitor not only the target stock level but also any other

2

y g y indicator of the “entire” ecosystem.

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1 Do not eat high value fish too much!

  • 1. Do not eat high value fish too much!

3

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Are the oceans dying?

Newsweek 2003 7 14 Newsweek 2003.7.14

4

2002/6/21 4

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SLIDE 5
  • R. A. Myers & B. Worm (2003)

Rapid worldwide depletion of predatory fish communities

Boris Worm late Ransom Myers

…We conclude that declines of large

predators that initially occurred in predators that initially occurred in coastal regions, have extended throughout the global ocean, with

5

Nature 423:280-283 (2003)

potentially large consequences on ecosystems.

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SLIDE 6

Fortune Magazine Names Ransom f ld’ Myers on of World’s top ten to watch

BorisWorm

Reykjavik June 2006 photo by Matsuda

RansomMyers Meryl Williams

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http://as01.ucis.dal.ca/ramweb/

Meryl Williams

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SLIDE 7

Even if the past reduction rate continues, SBT will not go extinct within 50 years not high will not go extinct within 50 years, not high extinction risk in the immediate future.

100,000

1000)

⎥ ⎦ ⎤ ⎢ ⎣ ⎡ − + − − = t x t r x t x x t G

c c 2 2 3 2

2 ) * ( exp 2 ) ( ) ( σ πσ

1 000 10,000 推 定 親 魚

size (×1

⎦ ⎣ t 2πσ

⎥ ⎦ ⎤ ⎢ ⎣ ⎡ + =

∞ 2 2

) ( 2 1 τ ρ σ σ

r

100 1,000 魚 尾 数 ( 千

pulation

⎥ ⎦ ⎢ ⎣

=1 τ

(Lande & Orzack 1988)

10 千 尾 )

mated pop

1 1970 1990 2010 2030 2050 2070 西暦年

Estim

(M t d t l 1996)

7

(Matsuda et al. 1996)

Photo by Fisheries Research Agency, Japan

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SLIDE 8

Is the ocean really dying?

The total catch decreased in northwest Atlantic. It is increasing in western central Pacific.

8

(FAO, SOFIA2006)

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SLIDE 9

Counter view 1: Spatial Methods

Meryl Williams (CoML member) invited talk “Marine ecosystem services

and fishing: agreements and disagreements between fisheries scientists and Walters Can J Fish Aquat Sc 2003

Counter-view 1: Spatial Methods

ecologists” October 21, 2009, Yokohama, 5th World Fisheries Congress Walters Can J Fish Aquat Sc 2003 Atlantic Ocean Pacific Ocean Pacific Ocean Indian Ocean Data: Japanese longline p g

  • Interpolated line
  • Myers & Worm method
  • Mean catch rate, fished cells

9

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SLIDE 10

Rebuilding Global Fisheries (Worm et al. 2009)

Trends of biomass (B) & exploitation rate (u) for Current exploitation rate versus biomass for 166

10

p ( ) 166 individual stocks. individual stocks.

Boris Worm

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SLIDE 11

2 Catch more fish at lower trophic levels;

  • 2. Catch more fish at lower trophic levels;

Biomass of lower trophic levels is much larger

than biomass of top predators. p p

Food web pyramid human

Marine mammals mammals tunas sardine zooplankton phytoplankton

11

p y p

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Fishing down (MA 2005) by Daniel Pauly g

( ) y y

?

Mean Trophic Le el is calc lated from FAO Mean Trophic Level is calculated from FAO

FISHSTAT and FISHBASE

MTL depends on stock fluctuation of sardine

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MTL depends on stock fluctuation of sardine

and anchovy, rather than overfising.

By D.Pauly

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Fishing down in China Fishing down in China

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Change in China’s Marine Trophic Index over the Years (from Xu et al. 2009) (Source China’s Fourth National Report)

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No fishing down in Japan

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Ijima, Katsukawa, Matsuda Unpublished data

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We can use >2 million tons of pelagic fishes sustainably in Japanese EEZ.

Source: Fisheries Research Agency Japan

15

Source: Fisheries Research Agency, Japan

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New Zealand imports p Pacific saury (samma)

16

http://kaiseki.ori.u-tokyo.ac.jp/~katukawa/blog/2008/07/post_378.html

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Developed countries people eat high value fishes, Developing countries people eat low value fishes

After Doug Beard

Developing countries people eat low value fishes.

17

From Delgado et. al. 2002, Fish to 2020, Table E.14 From Delgado et. al. 2002, Fish to 2020, Table 3.3

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Percentage of Seafood as the source of Animal Protein

Fisheries products Fisheries products are more important as food than other areas (Food Security).

18 Data Source: FAO Food Balance Sheet

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My typical lunch menu My typical lunch menu

(for 2 persons) 650 (US$6) ith ff 650 (US$6) ith ff

19 2006/5/22 19 21

650 yen (US$6) with coffee 650 yen (US$6) with coffee

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3 Do not use too much fish as fish meal;

  • 3. Do not use too much fish as fish meal;

7 kg of sardine make ca. 1 kg of yellowtail in

aquaculture. q

20 kg of chub mackerel make ca. 1kg of tuna

in fish farm in fish farm

To eat sardine or mackerel is more

environmentally friendly than to eat tuna.

Beyond beef – Jeremy Rifkin: Beyond beef – Jeremy Rifkin:

Feed cows on grass, not corns (“Beyond B f”)

20

Beef )

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4 Reduce discards before and after landings;

  • 4. Reduce discards before and after landings;

“Discard” in academic meeting

21

(SOFIA 2006)

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SLIDE 22
  • 5. Establish food markets for temporally

fluctuating fishes at lower trophic levels;

“We can still get many fish such as Pacific saury and

jack mackerel in Japanese waters. We should eat fish that is temporally abundant by a variety of cooking

  • methods. Do not decide dinner menu (e.g. fried

mackerel) before coming to fish market. Think fish and its cooking method after seeing fishes in the market.” (K. Ikuta at Tsukiji fish market)

22

http://www.uogashiyarou.co.jp/

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SLIDE 23

Species Replacement of Pelagic Fishes Species Replacement of Pelagic Fishes

mt)

Anchovy Horse mackerels

(1000 m

Horse mackerels Pacific saury Chub mackerel Sardine

Japan (

Sardine

Catch in C

23

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SLIDE 24

Landings of small pelagic fish Landings of small pelagic fish fluctuate from species to species.

anchoveta anchoveta

sardine

chub mackerel

Atlantic herring Atlantic herring

24

http://www.fao.org/WAICENT/FAOINFO/FISHERY/publ/sofia/fig4e.asp

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SLIDE 25
  • 6. Improve the food-processing

technology used on low value fishes;

25

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  • 7. Switch the target fish to correspond

t th t ll d i t i to the temporally dominant species;

(Katsukawa & Matsuda, Fish.Res. 2002)

Policy 1 (no switching; NSF) Fishing effort Ei= ei/3 (constant) O E E ( ) (i d d f ) Or Ei = Ei(xi) (independent of xj) Policy 2 (switching; SF) Policy 2 (switching; SF) Ei= ei xi/(Σxi) (∝stock abundance) Fishers focus

  • n

relatively b d t fi h i

26

abundant fish species.

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SLIDE 27

Switching increases & stabilizes total catch, save it at low levels

No Switching Switching

0 3 0.4 0.5 0 3 0.4 0.5 0.1 0.2 0.3 Catch 0.1 0.2 0.3 Catch 900 910 920 930 940 950 960 970 980 990 Time 900 910 920 930 940 950 960 970 980 990 Time Time Time

If stock fluctuations of alternative fish are

negatively correlated or independent

27

negatively correlated or independent

http://kaiseki1.ori.u-tokyo.ac.jp/~katukawa/blog/blosxom.cgi/study/article/switching.wikieditish

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SLIDE 28
  • 8. Conserve immature fish especially

hen the species is at a lo stock le el; when the species is at a low stock level;

1970s 1980s 1990s 1993-

%immatures

65.0% 60.0% 87.0% 90.6%

28

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Large fluctuation of recruitment Large fluctuation of recruitment

Var[recruitment]:80s>90s, P<0.3% Var[RPS]:80s<90s P<10-7 Var[RPS]:80s<90s, P<10-7 Strong year classes Strong year classes appeared twice

29

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O fi hi i h b k l i t fi h!

http://www.ices.dk/marineworld/fishmap/ices/pdf/mackerel.pdf

Overfishing in chub mackerel immature fish!

Chub mackerel fisheries Norway = Individual Quota

Age composition of chub

Japan = Dirby competition

Age composition of chub mackerel landings North Atlantic 2000-2004 Japan 1970 Japan 1995

30

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Quiz Quiz Which is Pacific chub mackerel?

Recently, Japan import Atlantic chub mackerel. Japanese

  • ften eat Atlantic chub mackerel than Pacific chub

mackerel. ① ②

31

Photos, see Matsuda (2009, Bun-ichi, Tokyo)

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SLIDE 32

Risk assessment of stock recovery y plan (“Simple Operating Model”)

Start age structure of the current stock; Future RPS (α ) is randomly chosen from the Future RPS (αt) is randomly chosen from the

past 10 years estimates of RPS. (include process errors) process errors)

N0,t = SSBt αt/(1+β SSBt)

0,t t t t

Na+1,t+1 = Na,t exp[-M-Fa] (a=0,1,...5, “6+”)

C

= N e-M/2 F w

Ca,t = Na,t e M/2 Fa wa

32

Kawai,…,Matsuda, Fish. Sci. 2002

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SLIDE 33

Fishers missed chance of recovery Fishers missed chance of recovery

Kawai,…,Matsuda, Fish. Sci. 2002

)

actual

n tons) million

F during 1970-80s

ance (m abunda stock a

33

s

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SLIDE 34

Probability of stock recovery Probability of stock recovery

Kawai et al. (2002: Fish. Sci.68:961-969) ) Do not predict a single future

34

Do not predict a single future

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SLIDE 35

9 Conserve both fish and fishers;

  • 9. Conserve both fish and fishers;

Can whaling be managed to protect whales and

whalers? – Plenary talk by Judy Zeh* at y y y International Mammalogical Congress at Sapporo 2005 Sapporo, 2005

Conserve diversity of flora, fauna, language

and culture!! These are source of future human development p

*Ms. Judy Zeh: past chair of Scientific Committee

35

  • f International Whaling Commission (IWC)
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SLIDE 36

Artisanal fisheries

M.Makino

Country

  • No. Fishers
  • No. Vessels

% Artisanal Fishers

Iceland

6,300 826 0.63

Norway

22,916 8,664 0.89

Denmark

4,792 4,285 0.86 U.K. 19,044 9,562 0.82 France 26,113 6,586 0.78 Canada 84,775 18,280 0.74 NZ 2,227 1,375 0.74 Spain 75,434 15,243 0.76 U.S.A.

  • ca. 290,000

27,200 0.53 Korea 180,649 50,398 0.9 Japan 278,200 219,466 0.98

36

36

p , , Australia 13,500 C.A. 5,000 N.A.

SSF < ISCFV 25 (the International Statistic Classification of fishery Vessels)

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SLIDE 37

Ecosystem Services and Natural Capital Ecosystem Services and Natural Capital

Ecosystem

Ecosystem Ecosystem Ecosystem services services services services (air, (air, (air, (air, water) water) water) water) including including including including

Ecosystem

Ecosystem Ecosystem Ecosystem services services services services (air, (air, (air, (air, water) water) water) water) including including including including provisioning provisioning provisioning provisioning services services services services (resource (resource (resource (resource

  • f
  • f
  • f
  • f

agriculture agriculture agriculture agriculture etc etc etc etc ) are are are are estimated estimated estimated estimated to to to to be be be be in in in in agriculture agriculture agriculture agriculture etc etc etc etc.) are are are are estimated estimated estimated estimated to to to to be be be be in in in in US US US$ US$ $16 $16 16- 16-

  • 54
  • 54

54 54 trillion trillion trillion trillion per per per per year, ear, year, year, most

  • st

most most

  • f
  • f
  • f
  • f

hi hi h hi hi h i id id id id h k whi hich whi hich is is o s outsid ide

  • uts
  • utsid

ide t e the the m e market et mar market et

37

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SLIDE 38

Ecosystem services V(N, C)

V(N C) = Y(C)

cE + S(N)

y ( , )

V(N, C) = Y(C) – cE + S(N) Provisional Service (Fisheries Yield)

Y(C)

Provisional Service (Fisheries Yield) … Y(C) Fishing Cost… cE Utility of standing biomass… S(N)

C t h E fi hi ff t N t k bi

C… catch; E… fishing effort; N… stock biomass

38

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SLIDE 39

Maximum Sustainable Ecosystem Service

(S∞, B) = (100,10)

Stock abundance N

(S B) = (50 50) (S∞, B) = (50,50) (S∞, B) = (0,-)

ff

39

Fishing effort E

2008/3/2 39

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SLIDE 40

Paradigm Shift Paradigm Shift…

M i S t i bl

120

Maximum Sustainable Ecosystem Services s

80 100

Maximum Sustainable Yield services vices

60 80

Unsustainable Fi h i stem s Yield ng Serv

40

No take zone Fisheries ecosy sheries egulatin

20

Total = Fis + Re

40

20 40 60 80 100 120

2008/3/2 40

Fishing effort

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SLIDE 41

10 S db di i l MSY h

  • 10. Say goodbye to traditional MSY theory;

Ecosystems are uncertain, non-equilibrium

and complex. p

MSY theory ignores all the three.

120

tion

60 80 100 生 産 力

product

20 40 力

urplus p

41

200 400 600 800 1000 親魚量

Stock abundance

su

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SLIDE 42
  • 11. Monitor not only the target stock level but

also other indicators of the ecosystem.

Classical MSY theory ignores uncertainty,

non-equilibrium, and complex of ecosystems. q , p y

Adaptive management (AM) is robust against

uncertainty and non equilibrium of ecosystems uncertainty and non-equilibrium of ecosystems.

Monitoring of fish biomass is indispensable for

adaptive fisheries management.

But it is not enough for complex ecosystems But it is not enough for complex ecosystems.

42

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SLIDE 43

Feedback control in fishing effort is robust against uncertainty...

( ) dN f N qEN d = −

( )

* dE U N N = −

Stock size Fishing effort

Even though the MSY level

( ) f N qEN dt

( )

U N N dt

N* N* N*

is unknown, the feedback control stabilizes a broad

(N)

range of target stock level .

f(N Stock size N

43

Stock size N

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SLIDE 44

If prey is exploited and fishing effort p y p g is feedback control, ...(Matsuda & Abrams in prep.) dP/dt=0

1

1

dN r N P qCEN dt

fCN N K hCN

⎛ ⎞ ⎜ ⎟ ⎜ ⎟ ⎝ ⎠

= − − −

+

P

bfCN

dP d gP P

⎧ ⎫ ⎪ ⎪ ⎨ ⎬

= − − +

dN/dt=0

1 hCN

⎝ ⎠

+ 1 hCN

d gP P dt

⎨ ⎬ ⎪ ⎪ ⎩ ⎭

+

+

Fishing effort E is small predator P fishery E Fishing effort E is small E is large i predator P fishery E N

44

sardine N

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My 11 recommendations

1. Do not eat high value fish too much! 2. Catch more fish at lower trophic levels; 3 D t t h fi h fi h l 3. Do not use too much fish as fish meal; 4. Reduce discards before and after landings; 5 Establish food markets for temporally fluctuating fishes at 5. Establish food markets for temporally fluctuating fishes at lower trophic levels; 6. Improve the food-processing technology used on small pelagic fishes; pelagic fishes; 7. Switch the target fish to correspond to the temporally dominant species; p 8. Conserve immature fish especially when the species is at a low stock level; 9 Conserve both fish and fishers; 9. Conserve both fish and fishers;

  • 10. Say goodbye to traditional MSY theory;
  • 11. Monitor not only the target stock level but also any other

45

y g y indicator of the “entire” ecosystem.