Climate variability induces changes in phytoplankton phenology across Spanish marine ecoregions
[Data availability] All data used in this study are publicly available online. NASA Ocean Color provided Aqua-MODIS-OC3M-derived (L3) surface chl-a concentrations (https://oceandata.sci.gsfc.nasa.gov/l3/; last accessed: March 2025). E.U. Copernicus Marine Service made available L4 satellite-derived...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/402053 |
| Acceso en línea: | http://hdl.handle.net/10261/402053 |
| Access Level: | acceso abierto |
| Palabra clave: | Phytoplankton Phenology Climate Variability Marine Heatwaves Windiness Causal Inference |
| Sumario: | [Data availability] All data used in this study are publicly available online. NASA Ocean Color provided Aqua-MODIS-OC3M-derived (L3) surface chl-a concentrations (https://oceandata.sci.gsfc.nasa.gov/l3/; last accessed: March 2025). E.U. Copernicus Marine Service made available L4 satellite-derived chl-a concentrations in sea water (https://doi.org/10.48670/moi-00289; last accessed: March 2025); L4 satellite-derived SST, from the European North West Shelf/Iberia Biscay Irish Seas – (https://doi.org/10.48670/moi-00153; last accessed: March 2025), and from the Global Ocean OSTIA (https://doi.org/10.48670/moi-00168; last accessed: March 2025); and GLORYS12V1-derived MLD (https://doi.org/10.48670/moi-00021; last accessed: March 2025). E.U. Copernicus Climate Change Service, implemented by ECMWF, provided CERRA 10 m-wind speed data (https://doi.org/10.24381/cds.622a565a; last accessed: March 2025). British Oceanographic Data Centre supplied ocean bottom depths through GEBCO_2023 Grid (https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2023/; last accessed: March 2025). All codes developed in Python 3.12.8 for data analyses, along with all phenology and CCM/GCCM output data, are freely available at https://github.com/ManuFBarba/Estrategias_Marinas and at https://doi.org/10.20350/digitalCSIC/17348 (Fernández-Barba et al., 2025). |
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