Long-term coastal macrobenthic Community Trajectory Analysis reveals habitat-dependent stability patterns
International audience 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. W...
Published in: | Ecography |
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Main Authors: | , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2023
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Online Access: | https://hal.univ-brest.fr/hal-04095678 https://hal.univ-brest.fr/hal-04095678/document https://hal.univ-brest.fr/hal-04095678/file/Ecography%20-%202023%20-%20Toumi%20-%20Long%E2%80%90term%20coastal%20macrobenthic%20Community%20Trajectory%20Analysis%20reveals%20habitat%E2%80%90dependent%20stability.pdf https://doi.org/10.1111/ecog.06489 |
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English |
topic |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology Toumi, Chirine Cáceres, Miquel De Grall, Jacques Boyé, Aurélien Thiébaut, Éric Maguer, Marion Garrec, Vincent Le Broudin, Caroline Houbin, Céline Gauthier, Olivier Long-term coastal macrobenthic Community Trajectory Analysis reveals habitat-dependent stability patterns |
topic_facet |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
International audience 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. |
author2 |
Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Universitat Autònoma de Barcelona (UAB) Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Dynamiques des Écosystèmes Côtiers (DYNECO) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Sorbonne Université (SU) Station biologique de Roscoff = Roscoff Marine Station (SBR) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Fédération de recherche de Roscoff (FR2424) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Réseau REBENT, Agence de l'eau Loire-Bretagne, Région Bretagne, DREAL Bretagne ANR-17-EURE-0015,ISBlue,Interdisciplinary Graduate School for the Blue planet(2017) |
format |
Article in Journal/Newspaper |
author |
Toumi, Chirine Cáceres, Miquel De Grall, Jacques Boyé, Aurélien Thiébaut, Éric Maguer, Marion Garrec, Vincent Le Broudin, Caroline Houbin, Céline Gauthier, Olivier |
author_facet |
Toumi, Chirine Cáceres, Miquel De Grall, Jacques Boyé, Aurélien Thiébaut, Éric Maguer, Marion Garrec, Vincent Le 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 |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.univ-brest.fr/hal-04095678 https://hal.univ-brest.fr/hal-04095678/document https://hal.univ-brest.fr/hal-04095678/file/Ecography%20-%202023%20-%20Toumi%20-%20Long%E2%80%90term%20coastal%20macrobenthic%20Community%20Trajectory%20Analysis%20reveals%20habitat%E2%80%90dependent%20stability.pdf https://doi.org/10.1111/ecog.06489 |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_source |
EISSN: 1600-0587 Ecography https://hal.univ-brest.fr/hal-04095678 Ecography, 2023, ⟨10.1111/ecog.06489⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/ecog.06489 hal-04095678 https://hal.univ-brest.fr/hal-04095678 https://hal.univ-brest.fr/hal-04095678/document https://hal.univ-brest.fr/hal-04095678/file/Ecography%20-%202023%20-%20Toumi%20-%20Long%E2%80%90term%20coastal%20macrobenthic%20Community%20Trajectory%20Analysis%20reveals%20habitat%E2%80%90dependent%20stability.pdf doi:10.1111/ecog.06489 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1111/ecog.06489 |
container_title |
Ecography |
container_volume |
2023 |
container_issue |
6 |
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1792051666830229504 |
spelling |
ftccsdartic:oai:HAL:hal-04095678v1 2024-02-27T08:43:38+00:00 Long-term coastal macrobenthic Community Trajectory Analysis reveals habitat-dependent stability patterns Toumi, Chirine Cáceres, Miquel De Grall, Jacques Boyé, Aurélien Thiébaut, Éric Maguer, Marion Garrec, Vincent Le Broudin, Caroline Houbin, Céline Gauthier, Olivier Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Universitat Autònoma de Barcelona (UAB) Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Dynamiques des Écosystèmes Côtiers (DYNECO) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Sorbonne Université (SU) Station biologique de Roscoff = Roscoff Marine Station (SBR) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Fédération de recherche de Roscoff (FR2424) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Réseau REBENT, Agence de l'eau Loire-Bretagne, Région Bretagne, DREAL Bretagne ANR-17-EURE-0015,ISBlue,Interdisciplinary Graduate School for the Blue planet(2017) 2023-04 https://hal.univ-brest.fr/hal-04095678 https://hal.univ-brest.fr/hal-04095678/document https://hal.univ-brest.fr/hal-04095678/file/Ecography%20-%202023%20-%20Toumi%20-%20Long%E2%80%90term%20coastal%20macrobenthic%20Community%20Trajectory%20Analysis%20reveals%20habitat%E2%80%90dependent%20stability.pdf https://doi.org/10.1111/ecog.06489 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/ecog.06489 hal-04095678 https://hal.univ-brest.fr/hal-04095678 https://hal.univ-brest.fr/hal-04095678/document https://hal.univ-brest.fr/hal-04095678/file/Ecography%20-%202023%20-%20Toumi%20-%20Long%E2%80%90term%20coastal%20macrobenthic%20Community%20Trajectory%20Analysis%20reveals%20habitat%E2%80%90dependent%20stability.pdf doi:10.1111/ecog.06489 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess EISSN: 1600-0587 Ecography https://hal.univ-brest.fr/hal-04095678 Ecography, 2023, ⟨10.1111/ecog.06489⟩ [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2023 ftccsdartic https://doi.org/10.1111/ecog.06489 2024-01-28T00:45:53Z International audience 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 Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Ecography 2023 6 |