FN Archimer Export Format
PT J
TI Long‐term coastal macrobenthic Community Trajectory Analysis reveals habitat‐dependent stability patterns
BT 
AF Toumi, Chirine
   De Cáceres, Miquel
   Grall, Jacques
   Boyé, Aurélien
   Thiébaut, Éric
   Maguer, Marion
   Le Garrec, Vincent
   Broudin, Caroline
   Houbin, Céline
   Gauthier, Olivier
AS 1:1;2:2;3:1,3;4:4;5:5;6:3;7:3;8:6;9:6;10:1,3;
FF 1:;2:;3:;4:PDG-ODE-DYNECO-LEBCO;5:;6:;7:;8:;9:;10:;
C1 LEMAR, Univ. Brest, CNRS, IRD, Ifremer, Plouzané, France
   CREAF, Campus de Bellaterra, Univ. Autònoma de Barcelona, Cerdanyola del Vallès Barcelona, Spain
   OSU IUEM, Univ. Brest, CNRS, IRD Plouzané, France
   Ifremer, Centre de Bretagne, DYNECO, Laboratory of Coastal Benthic Ecology, Plouzané , France
   Sorbonne Univ., CNRS, Station Biologique de Roscoff, Roscoff, France
   CNRS, Station Biologique de Roscoff, Sorbonne Univ, Roscoff, France
C2 UBO, FRANCE
   UNIV AUTONOMA BARCELONA, SPAIN
   UBO, FRANCE
   IFREMER, FRANCE
   UNIV SORBONNE, FRANCE
   CNRS, FRANCE
SI BREST
SE PDG-ODE-DYNECO-LEBCO
UM LEMAR
IN WOS Ifremer UPR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-univ-france
IF 5.9
TC 3
UR https://archimer.ifremer.fr/doc/00833/94448/101769.pdf
   https://archimer.ifremer.fr/doc/00833/94448/101770.docx
LA English
DT Article
CR REBENT
BO Albert Lucas
   Neomysis
DE ;benthic communities;biogenic habitats;long-term monitoring;null model;temporal beta diversity;trajectory analysis
AB 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. 
PY 2023
PD JUL
SO Ecography
SN 0906-7590
PU Wiley
VL 2023
IS 6
UT 000967618600001
DI 10.1111/ecog.06489
ID 94448
ER

EF