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An ocean front dataset for the Mediterranean sea and southwest Indian ocean
Fronts are ubiquitous discrete features of the global ocean often associated with enhanced vertical velocities, in turn boosting primary production. Fronts thus form dynamical and ephemeral ecosystems where numerous species meet across all trophic levels. Fronts are also targeted by fisheries. Captu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590416/ https://www.ncbi.nlm.nih.gov/pubmed/37865643 http://dx.doi.org/10.1038/s41597-023-02615-z |
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author | Sudre, Floriane Hernández-Carrasco, Ismael Mazoyer, Camille Sudre, Joel Dewitte, Boris Garçon, Véronique Rossi, Vincent |
author_facet | Sudre, Floriane Hernández-Carrasco, Ismael Mazoyer, Camille Sudre, Joel Dewitte, Boris Garçon, Véronique Rossi, Vincent |
author_sort | Sudre, Floriane |
collection | PubMed |
description | Fronts are ubiquitous discrete features of the global ocean often associated with enhanced vertical velocities, in turn boosting primary production. Fronts thus form dynamical and ephemeral ecosystems where numerous species meet across all trophic levels. Fronts are also targeted by fisheries. Capturing ocean fronts and studying their long-term variability in relation with climate change is thus key for marine resource management and spatial planning. The Mediterranean Sea and the Southwest Indian Ocean are natural laboratories to study front-marine life interactions due to their energetic flow at sub-to-mesoscales, high biodiversity (including endemic and endangered species) and numerous conservation initiatives. Based on remotely-sensed Sea Surface Temperature and Height, we compute thermal fronts (2003–2020) and attracting Lagrangian coherent structures (1994–2020), in both regions over several decades. We advocate for the combined use of both thermal fronts and attracting Lagrangian coherent structures to study front-marine life interactions. The resulting front dataset differs from other alternatives by its high spatio-temporal resolution, long time coverage, and relevant thresholds defined for ecological provinces. |
format | Online Article Text |
id | pubmed-10590416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105904162023-10-23 An ocean front dataset for the Mediterranean sea and southwest Indian ocean Sudre, Floriane Hernández-Carrasco, Ismael Mazoyer, Camille Sudre, Joel Dewitte, Boris Garçon, Véronique Rossi, Vincent Sci Data Data Descriptor Fronts are ubiquitous discrete features of the global ocean often associated with enhanced vertical velocities, in turn boosting primary production. Fronts thus form dynamical and ephemeral ecosystems where numerous species meet across all trophic levels. Fronts are also targeted by fisheries. Capturing ocean fronts and studying their long-term variability in relation with climate change is thus key for marine resource management and spatial planning. The Mediterranean Sea and the Southwest Indian Ocean are natural laboratories to study front-marine life interactions due to their energetic flow at sub-to-mesoscales, high biodiversity (including endemic and endangered species) and numerous conservation initiatives. Based on remotely-sensed Sea Surface Temperature and Height, we compute thermal fronts (2003–2020) and attracting Lagrangian coherent structures (1994–2020), in both regions over several decades. We advocate for the combined use of both thermal fronts and attracting Lagrangian coherent structures to study front-marine life interactions. The resulting front dataset differs from other alternatives by its high spatio-temporal resolution, long time coverage, and relevant thresholds defined for ecological provinces. Nature Publishing Group UK 2023-10-21 /pmc/articles/PMC10590416/ /pubmed/37865643 http://dx.doi.org/10.1038/s41597-023-02615-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Sudre, Floriane Hernández-Carrasco, Ismael Mazoyer, Camille Sudre, Joel Dewitte, Boris Garçon, Véronique Rossi, Vincent An ocean front dataset for the Mediterranean sea and southwest Indian ocean |
title | An ocean front dataset for the Mediterranean sea and southwest Indian ocean |
title_full | An ocean front dataset for the Mediterranean sea and southwest Indian ocean |
title_fullStr | An ocean front dataset for the Mediterranean sea and southwest Indian ocean |
title_full_unstemmed | An ocean front dataset for the Mediterranean sea and southwest Indian ocean |
title_short | An ocean front dataset for the Mediterranean sea and southwest Indian ocean |
title_sort | ocean front dataset for the mediterranean sea and southwest indian ocean |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590416/ https://www.ncbi.nlm.nih.gov/pubmed/37865643 http://dx.doi.org/10.1038/s41597-023-02615-z |
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