Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone
Abstract Imaging techniques are increasingly used in ecology studies, producing vast quantities of data. Inferring functional traits from individual images can provide original insights on ecosystem processes. Morphological traits are, as other functional traits, individual characteristics influenci...
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crwiley:10.1002/lno.11672 2024-09-15T18:30:32+00:00 Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone Vilgrain, Laure Maps, Frédéric Picheral, Marc Babin, Marcel Aubry, Cyril Irisson, Jean‐Olivier Ayata, Sakina‐Dorothée Agence Nationale de la Recherche Canada Excellence Research Chairs, Government of Canada Canada Foundation for Innovation Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada Canadian Space Agency Institut Polaire Français Paul Emile Victor Université Laval 2021 http://dx.doi.org/10.1002/lno.11672 https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11672 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lno.11672 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11672 en eng Wiley http://creativecommons.org/licenses/by-nc/4.0/ Limnology and Oceanography volume 66, issue 4, page 1155-1167 ISSN 0024-3590 1939-5590 journal-article 2021 crwiley https://doi.org/10.1002/lno.11672 2024-08-06T04:21:28Z Abstract Imaging techniques are increasingly used in ecology studies, producing vast quantities of data. Inferring functional traits from individual images can provide original insights on ecosystem processes. Morphological traits are, as other functional traits, individual characteristics influencing an organism's fitness. We measured them from in situ image data to study an Arctic zooplankton community during sea ice break‐up. Morphological descriptors (e.g., area, lightness, complexity) were automatically measured on ∼ 28,000 individual copepod images from a high‐resolution underwater camera deployed at more than 150 sampling sites across the ice‐edge. A statistically‐defined morphological space allowed synthesizing morphological information into interpretable and continuous traits (size, opacity, and appendages visibility). This novel approach provides theoretical and methodological advantages because it gives access to both inter‐ and intra‐specific variability by automatically analyzing a large dataset of individual images. The spatial distribution of morphological traits revealed that large copepods are associated with ice‐covered waters, while open waters host smaller individuals. In those ice‐free waters, copepods also seem to feed more actively, as suggested by the increased visibility of their appendages. These traits distributions are likely explained by bottom‐up control: high phytoplankton concentrations in the well‐lit open waters encourages individuals to actively feed and stimulates the development of small copepod stages. Furthermore, copepods located at the ice edge were opaquer, presumably because of full guts or an increase in red pigmentation. Our morphological trait‐based approach revealed ecological patterns that would have been inaccessible otherwise, including color and posture variations of copepods associated with ice‐edge environments in Arctic ecosystems. Article in Journal/Newspaper Phytoplankton Sea ice Zooplankton Copepods ice covered waters Wiley Online Library Limnology and Oceanography 66 4 1155 1167 |
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Wiley Online Library |
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crwiley |
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English |
description |
Abstract Imaging techniques are increasingly used in ecology studies, producing vast quantities of data. Inferring functional traits from individual images can provide original insights on ecosystem processes. Morphological traits are, as other functional traits, individual characteristics influencing an organism's fitness. We measured them from in situ image data to study an Arctic zooplankton community during sea ice break‐up. Morphological descriptors (e.g., area, lightness, complexity) were automatically measured on ∼ 28,000 individual copepod images from a high‐resolution underwater camera deployed at more than 150 sampling sites across the ice‐edge. A statistically‐defined morphological space allowed synthesizing morphological information into interpretable and continuous traits (size, opacity, and appendages visibility). This novel approach provides theoretical and methodological advantages because it gives access to both inter‐ and intra‐specific variability by automatically analyzing a large dataset of individual images. The spatial distribution of morphological traits revealed that large copepods are associated with ice‐covered waters, while open waters host smaller individuals. In those ice‐free waters, copepods also seem to feed more actively, as suggested by the increased visibility of their appendages. These traits distributions are likely explained by bottom‐up control: high phytoplankton concentrations in the well‐lit open waters encourages individuals to actively feed and stimulates the development of small copepod stages. Furthermore, copepods located at the ice edge were opaquer, presumably because of full guts or an increase in red pigmentation. Our morphological trait‐based approach revealed ecological patterns that would have been inaccessible otherwise, including color and posture variations of copepods associated with ice‐edge environments in Arctic ecosystems. |
author2 |
Agence Nationale de la Recherche Canada Excellence Research Chairs, Government of Canada Canada Foundation for Innovation Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada Canadian Space Agency Institut Polaire Français Paul Emile Victor Université Laval |
format |
Article in Journal/Newspaper |
author |
Vilgrain, Laure Maps, Frédéric Picheral, Marc Babin, Marcel Aubry, Cyril Irisson, Jean‐Olivier Ayata, Sakina‐Dorothée |
spellingShingle |
Vilgrain, Laure Maps, Frédéric Picheral, Marc Babin, Marcel Aubry, Cyril Irisson, Jean‐Olivier Ayata, Sakina‐Dorothée Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone |
author_facet |
Vilgrain, Laure Maps, Frédéric Picheral, Marc Babin, Marcel Aubry, Cyril Irisson, Jean‐Olivier Ayata, Sakina‐Dorothée |
author_sort |
Vilgrain, Laure |
title |
Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone |
title_short |
Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone |
title_full |
Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone |
title_fullStr |
Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone |
title_full_unstemmed |
Trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an Arctic ice melt zone |
title_sort |
trait‐based approach using in situ copepod images reveals contrasting ecological patterns across an arctic ice melt zone |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1002/lno.11672 https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11672 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lno.11672 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11672 |
genre |
Phytoplankton Sea ice Zooplankton Copepods ice covered waters |
genre_facet |
Phytoplankton Sea ice Zooplankton Copepods ice covered waters |
op_source |
Limnology and Oceanography volume 66, issue 4, page 1155-1167 ISSN 0024-3590 1939-5590 |
op_rights |
http://creativecommons.org/licenses/by-nc/4.0/ |
op_doi |
https://doi.org/10.1002/lno.11672 |
container_title |
Limnology and Oceanography |
container_volume |
66 |
container_issue |
4 |
container_start_page |
1155 |
op_container_end_page |
1167 |
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1810472000451248128 |