<<

Vulnerability and risk of impacts of to climate change

William W. L. Cheung Nippon Foundation-UBC Nereus Program, Institute for the Oceans and , UBC 2015-2017 –the warmest years on record The future ocean What does CO2 emission do to the oceans?

Temperature

Gattuso, Magnan, Billé, Cheung, Howes, Joos, et al. 2015 Science. Flatfishes and their fisheries under climate change

Physical Biological Social/Economics

From: Sumaila, Cheung, Lam, Pauly, Herrick (2011) Nature Climate Change Temperature and oxygen constraining production

From: Pörtner & Farrell (2008) Science

• Theory predicts that aquatic ectotherms distribute themselves to maximize their growth performance. Predicted temperature preference of exploited flatfishes (Pleuronectiformes) based on their biogeography

Polar Tropical Predicted temperature preference of exploited flatfishes (Pleuronectiformes) based on their biogeography

Polar Tropical Climate-shifted Latitude distribution

Invasion

Warming Country A Hypoxia Country B Decrease in primary production Local Protected Area extinction

Original distribution Depth Global catches of flatfishes (Pleuronectiformes)

Future catches?

Which will be more at risk?

Subsistence

Data source: Sea Around Us This talk

1. Vulnerabilities and risk of impacts to climate change;

2. Projections of changing distribution and potential fisheries production;

3. Adapting to climate effects on flatfishes. This talk

1. Vulnerabilities and risk of impacts to climate change;

2. Projections of changing flatfish distribution and potential fisheries production;

3. Adapting to climate effects on flatfishes. Framework of assessing vulnerability and risk of impacts

Vulnerability Hazards: T, O2, pH Sensitivity:

Linf , TP, TG Exposure: Species’ biogeography Adaptive capacity: Fec, LB, DR, HA

Risk of climate impacts

Adapted from Jones and Cheung 2017. Glob. Chang. Biol. Exposure to hazard (ExV)

• Exposure = grid cells that the species is predicted to occur;

• Hazard = changes in ocean conditions relative to their past variability: temperature, oxygen, pH;

• Pelagic – surface variables; Demersal – bottom variables;

• Use multiple ESM outputs to include uncertainties;

• Index is based on the mean change relative to variability.

&'()(# ) – &'()(# ) !"# = +,-./+,0, .34./+,,, 56 (#.34./+,,,) Fuzzy logic expert system

• For each 0.5o x 0.5o spatial grid cell of the world oceans:

High (0.75)

Heuristic rules Moderate (0.25) Knowledge accumulation Exposure to hazard Index

• Example: Greenland – RCP 8.5

Exposure Sensitivity

• Breath of temperature tolerance (TT) – overlaying species distribution of temperature data (Cheung et al. 2013);

• Maximum body length (ML) – FishBase and Sealifebase;

• Taxonomic group (TG) – sensitivity to ocean acidification.

Example: TG = 12 oC: moderate (0.5) and high (0.5) ML = 80 cm: large (1.0) TG = Sensitivity = low (0.5), moderate (0.5), very high (1) Adaptive capacity • Latitudinal range (LR) – occurrence records;

• Depth range (DR) – FishBase and SeaLifeBase;

• Fecundity (FE)– FishBase and SeaLifeBase;

• Habitat restriction – Association to specific habitats (Cheung et al. 2008) Example: Greenland halibut LR = 46 o: medium (0.13) and large (0.87) DR = 2000 m: very large (1.0) FE = ~45000 eggs: large (0.61), very large (0.39) Adaptive capacity = high (0.87), very high (1.00) Vulnerability index = 39 Low (0.58), moderate (0.25), high (0.72)

Risk of impact = 55 • Example: Greenland halibut

Risk of impact Exploited flatfishes (Species number = 47) Moderate to high vulnerability and risk of impacts

VVUl

RCP 2.6 RCP 8.5

RCP 2.6 RCP 8.5 Species with highest estimated risk: Spottail spiny (Psettodes belcheri) West coast (Austroglossus microlepis) (Pettodes bennettii)

Vulnerability Exposure to hazards Risk of impacts Vulnerability and risk of impact of 1,074 exploited fishes and invertebrates globally

Vulnerability Risk of impact

Risk of impact

Jones and Cheung 2017. Glob. Chang. Biol. Risk of impacts under RCP 8.5 by Exclusive Economic Zones

• Exploited flatfishes (N = 47)

Exposure This talk

1. Vulnerabilities and risk of impacts to climate change;

2. Projections of changing flatfish distribution and potential fisheries production;

3. Adapting to climate effects on flatfishes. Dynamic Bioclimate Envelope Model

Source: Cheung et al. (2008, 2011); Fernandes et al. (2013) Projected range shifts (centroid shifts)

Case study: Northwest Atlantic

Witch Projected range shifts (centroid shifts)

Case study: Northwest Atlantic

Witch flounder Greenland halibut Projected range shifts (centroid shifts)

Case study: Northwest Atlantic

Witch flounder Greenland halibut

Yellowtail flounder Projected range shifts (centroid shifts)

Case study: Northwest Atlantic Projected range shifts in North Pacific and Atlantic Oceans RCP 8.5 Case study: Northeast Atlantic

Median shift = 16 km decade-1

• Local temperature velocity • Density-dependent effects

Based on: Jones and Cheung (2015) ICES J M Sci Scaling between global atmospheric warming and loss of maximum catch potential of flatfishes (N = 47 spp)

Paris Agreement

Business as usual

Based on: Cheung, Reygondeau, Frölicher (2016) Science Regional differences in projected in changes in maximum potential catches RCP 8.5

Change in catch potential (%)

Based on: Lam, Cheung et al. (2016) Scientific Report Implications for coastal communities

Weatherdon, Ota, Close, Cheung (2016) PLoS One ADAPTING TO CLIMATE CHANGE Potential solutions

Protect and restore coastal vegetation LOCAL

Eliminate

Mitigate pollution Climate impacts on effectiveness of MPA ”Climate-proofing” MPA

Now Future

Centroid Species shift (CS)

MPA MPA MPA size (s)

Species ”Climate-proofing” MPA

Now Future

Centroid Species shift (CS)

MPA MPA MPA size (s)

Species

For MPA to be climate-proof: s > CS Climate-proofing global MPAs Climate-proofing global MPAs

th Percentile of range shifts by 2050: 25 50th 75th Climate-proofing global MPAs

th Percentile of range shifts by 2050: 25 50th 75th

North Sea Box Mariculture of flatfishes

Mariculuture

Data source: Sea Around Us Mariculture suitable environment

Hippoglossus olivaceus

Solea Solea sengalensis

Unsuitable Suitable Data source: Oyinlola, Cheung, et al. (in review) Potential mariculture area and countries currently producing flatfishes

Data source: Oyinlola, Cheung, et al. (in review) Potential mariculture area and countries currently producing flatfishes

• Other constraints on sustainability: ecological, social, economic, technological?

Data source: Oyinlola, Cheung, et al. (in review) Summary • Exploited flatfishes have moderate to high risk of impacts under climate change;

• Distribution shifts across their ranges under climate change;

• Reduction in maximum catch potential by up to 20% under business-as-usual global warming;

• A portfolio of solutions (mitigation and adaptation) are needed to manage risk of climate change on flatfishes and their fisheries. Acknowledgement Challenges to transboundary fisheries management E.g. (RCP 8.5)

+ 2100 + - + +

2010

- - - - +

Abrantes, Cheung (in prep)