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Projected changes to ocean food webs and oceanic fisheries

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we expect to be better at these models to get down form coarse scale to finner scale to better capture the oceanic processes. What is important to remember is that ... – PowerPoint PPT presentation

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Title: Projected changes to ocean food webs and oceanic fisheries


1
Projected changes to ocean food webs and oceanic
fisheries
2
Based on..
3
Outline
  • Food webs for tuna
  • Differences in food webs among provinces of the
    Pacific Ocean
  • Effects of CC on provinces and their food webs
  • Sensitivity of tuna habitats to oceanic variables
  • Effects of climate change on tuna stocks

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(No Transcript)
5
Tuna food web
Food webs are complex
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Five oceanic provinces
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Five oceanic provinces
  • Warm pool

Normal El Niño
8
Five oceanic provinces
  • North and South Gyres (case 3) and equatorial
    divergence (case 4)

9
Impact of climate change
  • Surface area of the provinces

? of rich equatorial divergence ? of poorer gyres
and warm pool
10
Impact of climate change
present
future
  • Exchanges between deep rich water and surface
    poorer waters

? of nutrients reaching the surface where
photosynthesis can occur
11
3. The impact of climate change
  • Effect on phytoplankton and zooplankton

? of phytoplankton and zooplankton
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3. The impact of climate change
  • Effect on micronekton

Image Valerie Allain, SPC
? of micronekton
13
Now, turning to tuna
14
Tuna habitat temperature
  • Each tuna species has evolved with a preferred
    range in temperature

Species Temperature (C)
Skipjack 20-29
Yellowfin 20-30
Bigeye 13-27
Albacore 15-21
Sth. bluefin 17-20
  • Impacts vertical horizontal distribution
    (habitat and food) reproduction location and
    timing

Range of sea surface temperature with substantial
catches
Source Sund et al. (1981)
15
Tuna habitat oxygen
Sensitive to combined effects of SST
O2
Less tolerant to low values
Estimated lower lethal oxygen
Skipjack Albacore Yellowfin Bigeye
Species Fork length (cm) Lower lethal O2 levels (ml l-1)
Skipjack 50 1.87
Albacore 50 1.23
Yellowfin 50 1.14
Bigeye 50 0.40
Most tolerant to low values
16
Tuna habitat oxygen

0
0 m
100 m
Well oxygenated
Low oxygen
500 m
Typical vertical O2 profile
Change in subsurface may have more impact on low
oxygen tolerant species
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Better understanding of oceanography better
expected projections
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Skipjack tuna
Samoa 7
Samoa 10
Unexploited
Fishing effort x 1.5
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Albacore projection
2000
2000
Adult biomass
Larval density
2050
2050
No change in O2
Sensative to O2 hence distribution changes
With modelled O2
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Conclusions
  • There is still uncertainty about impacts of
    climate change
  • Fishing has a strong impact and will continue to
    be a major driver of stocks

21
Conclusions
  • Improved resolutions of SEAPODYM model are needed
    to update these preliminary results
  • Better projections of key ocean variables for
    tuna can be achieved using an ensemble of models
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