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Tuna,
fisheries and Climate variability
Tuna distribution and abundance have been shown to be
sensitive to environmental variability. In particular, the El Niño Southern
Oscillation (ENSO) appears to have important consequences both for spatial
distributions and migrations of the tuna populations and for their level of
recruitment and biomass. Interestingly, the signal appears to be opposite
according to the species, e.g., an El Niño event would have a positive
influence on the recruitment of skipjack while the effect would be negative on
the albacore. In addition, the interannual signal presents a correlation with
the Pacific Decadal Oscillation (PDO), leading to two different regimes
characterized by higher intensity and frequency of either El Niño or La Niña
events.
[more
on climate variability and tuna fisheries...]
Oceanic
Fisheries and Climate Change Project (OFCCP)
The ultimate goal of the project is to conduct simulations
with ecosystem models that include the main tuna species, using an input data
set predicted under a scenario of climate change induced by greenhouse warming.
This should lead to the first tentative understanding how greenhouse warming
will affect, at the ocean and global scales, the abundance and productivity of
marine populations in the pelagic ecosystem, focusing on the major exploited
species and fisheries, by a real coupling between atmospheric, oceanic, chemical
and biological processes. Potential feedbacks from the changes in the pelagic
ecosystem, and socio-economical consequences will be investigated to propose
adaptation measures for the future.
[more on
OFCCP...]
[GLOBEC
web site...]
Modeling
To explore the underlying mechanisms by which the environmental variability affects the pelagic ecosystem and tuna populations, a spatial environmental population dynamics model
(SEPoDyM) is developed. The model is a basin-scale, 2D coupled physical-biological interaction model, combining a forage (prey) production model with an age structured population model of targeted (tuna predator) species and their fisheries. The model contains environmental and spatial components used to constrain the movement and the recruitment of tuna.
[more on SEPoDyM...]
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