Modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish
Abstract Mobile pelagic species habitat is structured around dynamic oceanographic and ecological processes that operate and interact horizontally and vertically throughout the water column and change over time. Due to their extensive movements, pelagic species distributions are often poorly underst...
Published in: | ICES Journal of Marine Science |
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Language: | English |
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Oxford University Press (OUP)
2020
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Online Access: | http://dx.doi.org/10.1093/icesjms/fsaa148 http://academic.oup.com/icesjms/article-pdf/77/7-8/2776/35589035/fsaa148.pdf |
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croxfordunivpr:10.1093/icesjms/fsaa148 2024-04-07T07:54:29+00:00 Modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish Andrews, Samantha Leroux, Shawn J Fortin, Marie-Josée Kaplan, David M Natural Sciences and Engineering Research Council of Canada’s Canadian Healthy Oceans Network Department of Fisheries and Oceans Canada Institut Nordique de Recherche en Environnement et en Santé au Travail 2020 http://dx.doi.org/10.1093/icesjms/fsaa148 http://academic.oup.com/icesjms/article-pdf/77/7-8/2776/35589035/fsaa148.pdf en eng Oxford University Press (OUP) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model ICES Journal of Marine Science volume 77, issue 7-8, page 2776-2789 ISSN 1095-9289 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2020 croxfordunivpr https://doi.org/10.1093/icesjms/fsaa148 2024-03-08T02:56:12Z Abstract Mobile pelagic species habitat is structured around dynamic oceanographic and ecological processes that operate and interact horizontally and vertically throughout the water column and change over time. Due to their extensive movements, pelagic species distributions are often poorly understood. We use the Maxent species distribution model to assess how changes in the relative importance of modelled oceanographic (e.g. temperature) and climatic variables (e.g. the North Atlantic Oscillation) over 17 years affect the monthly average horizontal and vertical distribution of a keystone pelagic forage species, Atlantic Canadian capelin (Mallotus villosus). We show that the range and distribution of capelin occurrence probabilities vary across horizontal and vertical axes over time, with binary presence/absence predictions indicating capelin occupy between 0.72% (April) and 3.45% (November) of the total modelled space. Furthermore, our analysis reveals that the importance of modelled oceanographic variables, such as temperature, varies between months (44% permutation importance in August to 2% in May). By capturing the spatial dynamics of capelin over horizontal, vertical, and temporal axes, our analysis builds on work that improves our understanding and predictive modelling ability of pelagic species distributions under current and future conditions for proactive ecosystem-based management. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Oxford University Press ICES Journal of Marine Science 77 7-8 2776 2789 |
institution |
Open Polar |
collection |
Oxford University Press |
op_collection_id |
croxfordunivpr |
language |
English |
topic |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
spellingShingle |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography Andrews, Samantha Leroux, Shawn J Fortin, Marie-Josée Modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract Mobile pelagic species habitat is structured around dynamic oceanographic and ecological processes that operate and interact horizontally and vertically throughout the water column and change over time. Due to their extensive movements, pelagic species distributions are often poorly understood. We use the Maxent species distribution model to assess how changes in the relative importance of modelled oceanographic (e.g. temperature) and climatic variables (e.g. the North Atlantic Oscillation) over 17 years affect the monthly average horizontal and vertical distribution of a keystone pelagic forage species, Atlantic Canadian capelin (Mallotus villosus). We show that the range and distribution of capelin occurrence probabilities vary across horizontal and vertical axes over time, with binary presence/absence predictions indicating capelin occupy between 0.72% (April) and 3.45% (November) of the total modelled space. Furthermore, our analysis reveals that the importance of modelled oceanographic variables, such as temperature, varies between months (44% permutation importance in August to 2% in May). By capturing the spatial dynamics of capelin over horizontal, vertical, and temporal axes, our analysis builds on work that improves our understanding and predictive modelling ability of pelagic species distributions under current and future conditions for proactive ecosystem-based management. |
author2 |
Kaplan, David M Natural Sciences and Engineering Research Council of Canada’s Canadian Healthy Oceans Network Department of Fisheries and Oceans Canada Institut Nordique de Recherche en Environnement et en Santé au Travail |
format |
Article in Journal/Newspaper |
author |
Andrews, Samantha Leroux, Shawn J Fortin, Marie-Josée |
author_facet |
Andrews, Samantha Leroux, Shawn J Fortin, Marie-Josée |
author_sort |
Andrews, Samantha |
title |
Modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish |
title_short |
Modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish |
title_full |
Modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish |
title_fullStr |
Modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish |
title_full_unstemmed |
Modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish |
title_sort |
modelling the spatial–temporal distributions and associated determining factors of a keystone pelagic fish |
publisher |
Oxford University Press (OUP) |
publishDate |
2020 |
url |
http://dx.doi.org/10.1093/icesjms/fsaa148 http://academic.oup.com/icesjms/article-pdf/77/7-8/2776/35589035/fsaa148.pdf |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
ICES Journal of Marine Science volume 77, issue 7-8, page 2776-2789 ISSN 1095-9289 |
op_rights |
https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model |
op_doi |
https://doi.org/10.1093/icesjms/fsaa148 |
container_title |
ICES Journal of Marine Science |
container_volume |
77 |
container_issue |
7-8 |
container_start_page |
2776 |
op_container_end_page |
2789 |
_version_ |
1795671047156006912 |