Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns
Long‐term monitoring programs are fundamental to detect changes in ecosystem health and understand ecological processes. In the current context of increasing anthropogenic threats on marine ecosystems, understanding the dynamics and response of communities becomes essential. We used data collected o...
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crwiley:10.1111/ecog.06489 2024-06-02T08:11:48+00:00 Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns Toumi, Chirine De Cáceres, Miquel Grall, Jacques Boyé, Aurélien Thiébaut, Éric Maguer, Marion Le Garrec, Vincent Broudin, Caroline Houbin, Céline Gauthier, Olivier 2023 http://dx.doi.org/10.1111/ecog.06489 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.06489 en eng Wiley http://creativecommons.org/licenses/by/3.0/ Ecography volume 2023, issue 6 ISSN 0906-7590 1600-0587 journal-article 2023 crwiley https://doi.org/10.1111/ecog.06489 2024-05-03T12:02:05Z Long‐term monitoring programs are fundamental to detect changes in ecosystem health and understand ecological processes. In the current context of increasing anthropogenic threats on marine ecosystems, understanding the dynamics and response of communities becomes essential. We used data collected over 14 years in the REBENT benthic coastal invertebrates monitoring program, at a regional scale in the North‐East Atlantic, covering a total of 26 sites and 979 taxa. Four distinct habitats were studied: two biogenic habitats associated with foundation species in the intertidal and subtidal zones and two bare sedimentary habitats in the same respective tidal zones. We used community trajectory analysis (CTA), a statistical approach that allows for quantitative measures and comparisons of temporal trajectories of ecosystems. We compared observed community trajectories to trajectories simulated under a non‐directional null model in order to better understand the dynamics of the communities, their potential drivers, and the role of the studied habitats in these dynamics. Despite strong differences in the community compositions between sites and habitats, the communities followed non‐directional dynamics during the 14 years monitored, which suggested stability at the regional scale. However, the shape, size, and direction of the trajectories of benthic communities were more similar within than among habitats, also suggesting the influence of the nature of the habitat on community dynamics. Results showed a higher variability in community composition the first years of the monitoring in the intertidal bare habitat and confirmed the role of biogenic habitats in maintaining temporal stability. They also highlighted the need to apprehend the role of transient and rare species and the scale of observation in temporal beta diversity analyses. Finally, our study confirmed the usefulness of CTA to link observed trajectory patterns to fundamental ecological processes. Article in Journal/Newspaper North East Atlantic Wiley Online Library Ecography 2023 6 |
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Wiley Online Library |
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language |
English |
description |
Long‐term monitoring programs are fundamental to detect changes in ecosystem health and understand ecological processes. In the current context of increasing anthropogenic threats on marine ecosystems, understanding the dynamics and response of communities becomes essential. We used data collected over 14 years in the REBENT benthic coastal invertebrates monitoring program, at a regional scale in the North‐East Atlantic, covering a total of 26 sites and 979 taxa. Four distinct habitats were studied: two biogenic habitats associated with foundation species in the intertidal and subtidal zones and two bare sedimentary habitats in the same respective tidal zones. We used community trajectory analysis (CTA), a statistical approach that allows for quantitative measures and comparisons of temporal trajectories of ecosystems. We compared observed community trajectories to trajectories simulated under a non‐directional null model in order to better understand the dynamics of the communities, their potential drivers, and the role of the studied habitats in these dynamics. Despite strong differences in the community compositions between sites and habitats, the communities followed non‐directional dynamics during the 14 years monitored, which suggested stability at the regional scale. However, the shape, size, and direction of the trajectories of benthic communities were more similar within than among habitats, also suggesting the influence of the nature of the habitat on community dynamics. Results showed a higher variability in community composition the first years of the monitoring in the intertidal bare habitat and confirmed the role of biogenic habitats in maintaining temporal stability. They also highlighted the need to apprehend the role of transient and rare species and the scale of observation in temporal beta diversity analyses. Finally, our study confirmed the usefulness of CTA to link observed trajectory patterns to fundamental ecological processes. |
format |
Article in Journal/Newspaper |
author |
Toumi, Chirine De Cáceres, Miquel Grall, Jacques Boyé, Aurélien Thiébaut, Éric Maguer, Marion Le Garrec, Vincent Broudin, Caroline Houbin, Céline Gauthier, Olivier |
spellingShingle |
Toumi, Chirine De Cáceres, Miquel Grall, Jacques Boyé, Aurélien Thiébaut, Éric Maguer, Marion Le Garrec, Vincent Broudin, Caroline Houbin, Céline Gauthier, Olivier Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns |
author_facet |
Toumi, Chirine De Cáceres, Miquel Grall, Jacques Boyé, Aurélien Thiébaut, Éric Maguer, Marion Le Garrec, Vincent Broudin, Caroline Houbin, Céline Gauthier, Olivier |
author_sort |
Toumi, Chirine |
title |
Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns |
title_short |
Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns |
title_full |
Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns |
title_fullStr |
Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns |
title_full_unstemmed |
Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns |
title_sort |
long‐term coastal macrobenthic community trajectory analysis reveals habitat‐dependent stability patterns |
publisher |
Wiley |
publishDate |
2023 |
url |
http://dx.doi.org/10.1111/ecog.06489 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.06489 |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_source |
Ecography volume 2023, issue 6 ISSN 0906-7590 1600-0587 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.1111/ecog.06489 |
container_title |
Ecography |
container_volume |
2023 |
container_issue |
6 |
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1800758069788934144 |