Cheung w 20150708_1500_upmc_jussieu_-_amphi_24

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William W. L. Cheung

Co-Director & Associate Professor

Nippon Foundation-Nereus Program

The University of British Columbia, Canada

Our Common Future, Paris, 8 July 2015.

Responses of marine ecosystems to

climate change and ocean acidification

Gattuso, Magnan, Billé, Cheung, Howes, Joos, et al. 2015 Science.

Climate change effects in the ocean

Physical Biological Social/Economics

From: Sumaila, Cheung, Lam, Pauly, Herrick (2011) Nature

Climate Change

Polar

Country A

Contry B

Original

distribution

Depth

Climate-shifted

distribution

Local

extinction

Invasion

Ocean

Warming

Warm

Cold

Climate change has been visible in the catches of the

world’s marine fisheries since the 1970s

Credit: Pew Charitable Trust; Based on Cheung et al. (2013) Nature

Median preferred

temperature = 10 oC

Mean Temperature of Catch (MTC)

Cheung, Watson & Pauly (2013) Nature 497: 365-368

Median preferred

temperature = 6 oC

Median preferred

temperature = 8 oC

MTC =

Average preferred

temperature weighted

by the catch

Increase in MTC is significantly correlated with warming

• Temperature preferences differ between fish species;

• The average temperature preference of fish species in catches globally have increased by 0.7 oC from the 1970s to 2000s;

• In the Northwest Pacific Ocean, temperature preference of fish species in catches increased by 1 oC, associated with similar increase in sea temperature.

Projecting the future fisheries

Credit: Pew Charitable Trust; Based on Cheung et al. (2013)

Dynamic Bioclimate Envelope Model

Source: Cheung et al. (2008, 2011); Fernandes et al. (2013)

• Dynamic Bioclimate Envelope Model

(DBEM)

• AquaMaps (Kaschner et al. 2006; 2008)

• Simple, trapezoidal response curve

• Maxent (Phillips et al. 2004; 2006) •Complex Bayesian approach

Ensemble projection of distribution shifts

Source: Jones and Cheung (2015) ICES Journal of Marine

Sciences

Projected invasion and local extinction

Jones and Cheung (2015) ICES Journal of Marine Science

RCP2.6 RCP8.5

Dangerous invasive species

Reygondeau, Cheung et al. (in prep.)

Change in number of invasive species (defined by

IUCN) under RCP8.5 by 2050 relative to 2000

Climate Change & Fishing Vulnerability

Cheung et al. (2005)

Maximum body size and temperature:

Atlantic cod (Taylor 1959)

Changes in von Bertalanffy growth parameters (L∞ and K)

of haddock (Melanogrammus aeglefinus) in the North Sea

that is significantly correlated with SST

Source: Baudron et al. (2011)

Oxygen and capacity limited thermal tolerance

Source: Pauly (2010); Cheung, Dunne, Sarmiento, Pauly (2011)

Current condition

Warmer, more acidic or

less oxygenated ocean

• Linking aerobic scope and growth function;

• Effects on natural mortality, maturity, fecundity and recruitment.

Growth

Hypothesis of global change effects on body size at

individual- and assemblage- levels

Source: Cheung, Sarmiento, Dunne, Frölicher, Lam, Palomares, Watson, Pauly (2012)

Predicted changes in assemblage-level maximum

body weight by 2050 relative to 2000

• Assemblage-averaged W∞ is projected to decrease by 14 – 24% from 2001 to 2050 (20-year average);

• Changes in the tropics and temperate regions are predicted to be large, with an average reduction of around 20%.

Change in potential catch by 2050 relative to 1971-2000 under RCP 8.5 (multi-model mean)

% change in

potential

catch

Projected future catches

Cheung et al. (in prep.)

1980 2000 2020 2040 2060

100

95

90

105

110

85

% c

han

ge in

po

ten

tial c

atc

h

1980 2000 2020 2040 2060

RCP 8.5 RCP 2.6

Internal

variability

Internal variability + model (Fish) uncertainty

Probability density functions of change in potential catches

Risk of catch losses (more than 5% by 2050)

RCP2.6 RCP8.5

62%

30%

≤ -5% % change in potential catch

Pro

bab

ilit

y

-30 -20 0 10 30 -10 20

Regional changes in potential catch from 1981 – 2060

under RCP 8.5

23.2% 96.3%

63.0% 80.1%

23.9%

66.6% 67.4%

21.0%

<0.1%

88.9%

36.6% 13.0%

91.6% 68.3%

53.7% 36.5%

91.9% 17.0%

Probability of catch loss (more than 5%) by 2050 relative

to now under RCP 8.5

Despite regional differences in impacts on fisheries, the impacts on seafood supply will be felt everywhere given our globalized seafood supply.

From fishing

From imports % change in catches by

2050 relative to 2000

under “business-as-usual”

Source: Cheung et al. (2011), Cheung et al. (in prep.)

Risk of impacts

Summary

• Climate change has been visible in the catches of the world’s marine fish stocks since the 1970s, with increasing dominant of warm water species in catches at a rate that is similar to ocean warming;

• If current trend of ocean warming, increasing acidity and decreasing oxygen availability continues, fishes and invertebrates are predicted to shift poleward by 100s to 1000s of km by 2050, resulting in species invasion and local extinctions;

• Body size of fishes are projected to decrease with ocean warming and decrease in oxygen levels;

• Overall, the risk of impacts on marine species and ecosystem services will be high to very high under RCP 8.5 but it can be substantially reduced by moving to RCP 2.6.

Contributions from research team

Ocean2015 Initiatives

Acknowledgement

Ocean2015 Initiatives

dW/dt = H·W - k·W a

H = g·[O2]·e-j/T

k = h·e-i/T

Linking ocean conditions to growth functions

Anabolism Catabolism Growth rate

Invasion intensity (RCP 8.5)

Jones and Cheung (in press) ICES Journal of Marine Science

Extinction intensity (RCP 8.5)

Jones and Cheung (in press) ICES Journal of Marine Science

Global ocean model

projections

Computer simulation model

Biology and ecology of fish stocks

• Temperature preference

• Habitat preference

• Growth, reproduction, mortality

Predicted future

fish distribution

and catches

Fish model

Maximum body size and temperature:

Atlantic cod (Taylor 1959)

Predicted changes in individual body weight by 2050

relative to 2000 (N = 680 spp. of demersal fishes)

Source: Cheung, Sarmiento, Dunne, Frölicher, et al. (2013)

Comparing model results with data

• Consistent trends between model projection and data e.g. cod and haddock;

• However, model results are more conservative.

Model predictions

Source: Cheung et al. NCC (2012)

Source: Forster et al. (2013) Cheung, Sarmiento and Pauly. 2013. ICES JMS

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