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    Projection of tuna biomass (skipjack, albacore, yellowfin and bigeye tuna) in response to climate change simulated by the Spatial Ecosystem and Population Dynamics Model (SEAPODYM, http://www.seapodym.eu/ and https://github.com/PacificCommunity/seapodym-codebase).

    Here, we provide the unfished biomass dynamics (i.e. without considering any fishing). Therefore, the observed trends are only due to the projected climate change. The projection is performed over the period 2011−2100 under IPCC's RCP 8.5 scenario to simulate "business-as-usual" climate anomalies. We provide the mean of the ensemble, composed of 4 simulations performed with different Earth System models (IPSL-CM5A, MIROC, GFDL-ESM2G and MPI-MR). For each of the four tuna species we provide both the total biomass (adults + juveniles) and the larvae abundance.

    This model is described in : 

    Senina, I., Lehodey, P., Sibert, J. and J. Hampton. Integrating tagging and fisheries data into a spatial population dynamics model to improve its predictive skills. Can. J. Aquat. Fish. Sci. 77, 576–593 (2020), doi: 10.1139/cjfas-2018-0470

    These projections are described in :

    Bell J.D., Senina, I., Adams, T. et al. Pathways to sustaining tuna-dependent Pacific Island economies during climate change. Nature Sustainability 4, 900–910 (2021), doi:10.1038/s41893-021-00745-z

    Details on SEAPODYM can be found in the user reference manual.

     

    Horizontal resolution
    Time range
    to
    Domain
    American Samoa
    Cook Island
    Federated States of Micronesia
    Fiji
    French Polynesia
    Guam
    Kiribati
    Marshall Islands
    Nauru
    New Caledonia
    Niue
    Northern Mariana Islands
    Palau
    Papua New Guinea
    Pitcairn Islands
    Samoa
    Solomon Islands
    Tokelau
    Tonga
    Tuvalu
    Vanuatu
    Wallis & Futuna
    Vertical levels
    1
    Output time step
    1 month

    Keywords

    References

    Bell J.D., Senina, I., Adams, T. et al. Pathways to sustaining tuna-dependent Pacific Island economies during climate change. Nature Sustainability 4, 900–910 (2021), doi:10.1038/s41893-021-00745-z

    Senina, I., Lehodey, P., Sibert, J. and J. Hampton. Integrating tagging and fisheries data into a spatial population dynamics model to improve its predictive skills. Can. J. Aquat. Fish. Sci. 77, 576–593 (2020), doi: 10.1139/cjfas-2018-0470

    SEAPODYM: spatial ecosystem and population dynamics model for migratory age-structured stocks [version 4.0] / Inna Senina, Olivier Titaud, Guillaume Briand, and Patrick Lehodey, 2022. ISBN: 978-982-00-1457-2. purl: spc/digilib/doc/vxsz3

     

    Licence
    Other (Open)
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    Ensemble averaging and netcdf conversion by P. Lehodey 

    Sep, 17, 2022