Olivier Aumont

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Transcript Olivier Aumont

MACROES
Avancée du projet : déliverables
Objectif
Faire un état des lieux des délivrables accomplis, des retards et de ce qui est à
venir dans l'année
Méthode
Brute force par ordre :)
WP1 : Databases
1.1) Month 6: a metadata catalog to describe and search existing databases
1.2.1) Month 18: Complete databases
1.2.2) Month 24: a pre-service allowing to serve the gridded data to users in binary format.
1.2.3) Month 36: A gridded data and spatial information server
WP2 : Methodology in ecosystems
2.1.1. Month 12: Adopt the DEB formalism for phytoplankton in PISCES. Month 12.
2.1.2. Month 18: Adopt the DEB formalism for the whole PISCES ecosystem model (phytoplankton and
zooplankton)
2.2.1. Month 12: new DEB-based parametrization of biodiversity in APECOSM at the community level
2.2.2. Month 15: new diagnostic metric characterizing functional biodiversity in communities outputted
from APECOSM
2.2.3. Month 24: extended structure of APECOSM distinguishing jellies, squids, fish and crustaceans
communities in each of the 3 generic APECOSM communities
2.3.1. Month 9: Quantitative estimation of the physiological and behavioural parameters associated to
vertical distributions of the three generic APECOSM communities using acoustic data
2.3.2. Month 9: Inclusion of tag-recapture data into the likelihood approach used for estimating the
parameters of the focus species component of APECOSM
2.3.3. Month 18: Validation of the generic communities of APECOSM using acoustic data, stomach
content of predators and scientific trawling.
2.3.4. Month 18: Quantitative estimation of the APECOSM parameters for the four following tuna species:
yellowfin, bigeye, skipjack, albacore using fisheries and catch-recapture data in the Indian Ocean.
2.3.5. Month 24: Validation of the APECOSM outputs for tunas against the fisheries data in the Atlantic
and Pacific oceans
WP2 : Methodology in ecosystems
2.4.1. Month 18: Mechanistic mathematical description of schooling/swarming,
2.4.2. Month 30: Mechanistically derived functional response in APECOSM including the
implication of aggregative behaviour
WP3 : Methodology in economics
3.1. Month 18: Demand analysis of global tuna markets
3.2. Month 24: Effort dynamics model
3.3.1. Month 12: A prototype of a model of the network interconnecting worldwide tunas
stocks, specialized fleets and tuna markets
3.3.2. Month 24: The calibrated model of the network interconnecting worldwide tunas
stocks, specialized fleets and tuna markets, available for simulations on Internet as a Java
Applet
WP4 : Climate change and ocean acidification
4.1.1. Month 12: Offline simulations over 1860-2100 with IPSL-CM-PISCES-APECOSM
4.1.2. Month 18: Analysis of the impact of CC and OA on marine ecosystems
4.2.1 Month 24: Comparison of Offline and Online simulations over 2000-2100: importance
of top-down control
4.2.2 Month 36: Comparison of simulations with / without biophysical coupling over 20002100: Importance of biophysical feedback (heat trapping / bio-induced turbulence)
4.3.1 Month 42: Offline Simulations over 1860-2100 with IPSL-CM-PISCES-APECOSMbiodiversity
4.3.2 Month 48: Analysis of the impact of CC and OA on biodiversity
WP5 : Marine resources exploitation and governance
5.1 Month 36: Quantitative assessment of the respective effects of climate variability and
fishing on tuna populations and community dynamics
5.2.1. Month 40: Quantitative analysis of the impacts of fisheries on the functional diversity
5.2.2. Month 46: Quantitative analysis of the potential impacts of fisheries on shifts in
community structure
5.3. Month 48: Quantitative analysis of global scale fleet distribution, targeting strategies
and market configuration for different modes of climate variability
5.4.1. Month 18: Trends in the evolution of the international law of the sea
5.4.2. Month 18, 36: Trends in the evolution of law of fisheries
5.4.3. Month 18: Trends in the evolution of the economic law and of the law of sustainable
development of marine resources
WP6 : Global integrated dynamics
6.1.1. Month 48: Combined scenario(s) of climate change / ocean acidification / fisheries –
Simulations over 1860-2100
6.2.1. Month 24: Quantification of biogeochemical and biological entropy production in the
PISCES and APECOSM models.
6.2.2. Month 36: Impact of different environmental conditions on entropy production at both
species and ecosystem levels, regionalization of entropy production.
6.3.1. Month 30: A list of indicators will be proposed by the participants of the project
6.3.2. Month 42: The indicators will be made available to the general audience through a
web portal