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Uncovering marine connectivity through sea surface temperature
A foundational paradigm in marine ecology is that Oceans are divided into distinct ecoregions demarking unique assemblages of species where the characteristics of water masses, and quantity and quality of environmental resources are generally similar. In most of the world Ocean, defining these ecore...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065169/ https://www.ncbi.nlm.nih.gov/pubmed/33893335 http://dx.doi.org/10.1038/s41598-021-87711-z |
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author | Novi, Ljuba Bracco, Annalisa Falasca, Fabrizio |
author_facet | Novi, Ljuba Bracco, Annalisa Falasca, Fabrizio |
author_sort | Novi, Ljuba |
collection | PubMed |
description | A foundational paradigm in marine ecology is that Oceans are divided into distinct ecoregions demarking unique assemblages of species where the characteristics of water masses, and quantity and quality of environmental resources are generally similar. In most of the world Ocean, defining these ecoregions is complicated by data sparseness away of coastal areas and by the large-scale dispersal potential of ocean currents. Furthermore, ocean currents and water characteristics change in space and time on scales pertinent to the transitions of biological communities, and predictions of community susceptibility to these changes remain elusive. Given recent advances in data availability from satellite observations that are indirectly related to ocean currents, we are now poised to define ecoregions that meaningfully delimit marine biological communities based on their connectivity and to follow their evolution over time. Through a time-dependent complex network framework applied to a thirty-year long dataset of sea surface temperatures over the Mediterranean Sea, we provide compelling evidence that ocean ecoregionalization based on connectivity can be achieved at spatial and time scales relevant to conservation management and planning. |
format | Online Article Text |
id | pubmed-8065169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80651692021-04-27 Uncovering marine connectivity through sea surface temperature Novi, Ljuba Bracco, Annalisa Falasca, Fabrizio Sci Rep Article A foundational paradigm in marine ecology is that Oceans are divided into distinct ecoregions demarking unique assemblages of species where the characteristics of water masses, and quantity and quality of environmental resources are generally similar. In most of the world Ocean, defining these ecoregions is complicated by data sparseness away of coastal areas and by the large-scale dispersal potential of ocean currents. Furthermore, ocean currents and water characteristics change in space and time on scales pertinent to the transitions of biological communities, and predictions of community susceptibility to these changes remain elusive. Given recent advances in data availability from satellite observations that are indirectly related to ocean currents, we are now poised to define ecoregions that meaningfully delimit marine biological communities based on their connectivity and to follow their evolution over time. Through a time-dependent complex network framework applied to a thirty-year long dataset of sea surface temperatures over the Mediterranean Sea, we provide compelling evidence that ocean ecoregionalization based on connectivity can be achieved at spatial and time scales relevant to conservation management and planning. Nature Publishing Group UK 2021-04-23 /pmc/articles/PMC8065169/ /pubmed/33893335 http://dx.doi.org/10.1038/s41598-021-87711-z Text en © The Author(s) 2021 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 | Article Novi, Ljuba Bracco, Annalisa Falasca, Fabrizio Uncovering marine connectivity through sea surface temperature |
title | Uncovering marine connectivity through sea surface temperature |
title_full | Uncovering marine connectivity through sea surface temperature |
title_fullStr | Uncovering marine connectivity through sea surface temperature |
title_full_unstemmed | Uncovering marine connectivity through sea surface temperature |
title_short | Uncovering marine connectivity through sea surface temperature |
title_sort | uncovering marine connectivity through sea surface temperature |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065169/ https://www.ncbi.nlm.nih.gov/pubmed/33893335 http://dx.doi.org/10.1038/s41598-021-87711-z |
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