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pinguino-lim/Multivariable_time_series_model

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Multivariable_time_series_model

Analysis of worldwide fisheries catches with relation to satellite-derived environmental variables, aggregated at two spatial scales

Our work highlights the possible changes in fishery catch rate over time related with three environmental variables: Sea Surface Temperature (SST), concentrations of Chlorophyll (CHL), and the PIC:POC (PIC: Particulate Inorganic Carbon concentration; POC: Particulate Organic Carbon concentration) ratio at two spatial scales: worldwide and the nineteen FAO Major Fishing Area (FAO-MFA). We used FAO fishery database (FishStatJ) and MODIS Aqua satellite images from 2002 to 2015.

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VAR or VECM for fishery capture (2002-2015)

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