FN Archimer Export Format
PT J
TI Revealing perturbation responses with limited observations of biological communities
BT 
AF Alexandridis, Nikolaos
   Bacher, Cedric
   Jean, Frederic
   Dambacher, Jeffrey M.
AS 1:1;2:2;3:3;4:4;
FF 1:PDG-ODE-DYNECO-LEBCO;2:PDG-ODE-DYNECO;3:;4:;
C1 Lund University, Centre for Environmental and Climate Science (CEC), Sölvegatan 37, 22362 Lund, Sweden
   Ifremer, Centre de Bretagne, DYNECO-LEBCO, CS 10070, 29280 Plouzané, France
   Université de Brest, UBO/CNRS/IRD/Ifremer, LEMAR, Institut Universitaire Européen de la Mer, 29280 Plouzané, France
   CSIRO, GPO Box 1538, Hobart, Tasmania 7001, Australia
C2 UNIV LUND, SWEDEN
   IFREMER, FRANCE
   UBO, FRANCE
   CSIRO, AUSTRALIA
SI BREST
SE PDG-ODE-DYNECO-LEBCO
   PDG-ODE-DYNECO
UM LEMAR
IN WOS Ifremer UPR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
IF 6.263
TC 4
UR https://archimer.ifremer.fr/doc/00696/80843/84424.pdf
LA English
DT Article
DE ;Biological traits;Biotic interactions;Community structure;Ecological perturbation;Environmental variability;Qualitative modelling
AB Restrictions in empirical research of biological communities have limited our understanding of the combined influence of environmental variability and system structure on community composition. Spatial patterns of community composition in less accessible systems, such as marine benthos, can often not be explained by many factors beyond the direct impact of the environment on community members. We present a method that combines commonly collected data of community composition with analyses of qualitative mathematical models, to assess not only direct impacts of environmental variability, but also the propagation of impacts through complex interaction networks. Transformed spatial data of community composition describe the community members’ observed similarity of response to an external input. The output of qualitative mathematical models describes the community members’ predicted similarity of response to input entering the system through any of its variables. A statistically significant agreement between the observed and any of the predicted response similarities indicates the respective system variable as a likely gateway for environmental variability into the system. The method is applied to benthic macroinvertebrate communities in the Rance estuary (Brittany, France). Organisms identified as likely gateways have traits that agree with their predicted response to documented spatially and temporally structured environmental variability. We suggest use of this novel framework for more comprehensive identification of environmental drivers of community change, including gateway community members and cascades of environmentally driven change through community structure. 
PY 2021
PD SEP
SO Ecological Indicators
SN 1470-160X
PU Elsevier BV
VL 128
UT 000663325100010
DI 10.1016/j.ecolind.2021.107840
ID 80843
ER

EF