Integrating diverse marine predator data for robust species distribution models in a dynamic ocean
[Data availability] Code and simulated sample data for running the analysis is available at: https://github.com/nfarchadi/BlueShark_ISDM/. Marker tag data used in this research are publicly available from the International Commission for the Conservation of Atlantic Tunas (ICCAT) Secretariat tag dat...
| 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:10261/400894 |
| Acceso en línea: | http://hdl.handle.net/10261/400894 https://api.elsevier.com/content/abstract/scopus_id/105010731929 |
| Access Level: | acceso abierto |
| Palabra clave: | Boosted regression trees Data integration Highly migratory species Integrated nested Laplace approximation Spatiotemporal dynamics Species distribution models |
| Sumario: | [Data availability] Code and simulated sample data for running the analysis is available at: https://github.com/nfarchadi/BlueShark_ISDM/. Marker tag data used in this research are publicly available from the International Commission for the Conservation of Atlantic Tunas (ICCAT) Secretariat tag database at https://iccat.int/en/accesingdb.html. The fishery dependent observer dataset used in this study are considered confidential under the US Magnuson-Stevens Act. Qualified researchers may request these data from the NOAA Pelagic Observer Program office by contacting popobserver@noaa.gov. We requested data representing all pelagic longline sets between the years 1993 and 2019. For inquiries regarding the electronic data, contact the corresponding author. |
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