FN Archimer Export Format
PT J
TI Interspecific differences in environmental response blur trait dynamics in classic statistical analyses
BT 
AF McLean, Matthew
   Mouillot, David
   Villéger, Sébastien
   Graham, Nicholas A. J.
   Auber, Arnaud
AS 1:1,2;2:2;3:4;4:3;5:1;
FF 1:;2:;3:;4:;5:PDG-RBE-HMMN-LRHBL;
C1 Unité Halieutique Manche Mer du Nord, IFREMER, Boulogne-sur-Mer, France
   MARBEC Université de Montpellier, CNRS, IFREMER, IRD, Montpellier Cedex, France
   Lancaster Environment Centre, Lancaster University Lancaster, UK
   MARBEC Université de Montpellier, CNRS, IFREMER, IRD, Montpellier Cedex, France
C2 IFREMER, FRANCE
   UNIV MONTPELLIER, FRANCE
   UNIV LANCASTER, UK
   CNRS, FRANCE
SI BOULOGNE
SE PDG-RBE-HMMN-LRHBL
UM MARBEC
IN WOS Ifremer UPR
   WOS Cotutelle UMR
   copubli-france
   copubli-europe
   copubli-univ-france
IF 2.05
TC 1
UR https://archimer.ifremer.fr/doc/00591/70266/68369.pdf
LA English
DT Article
CR INTERNATIONAL BOTTOM TRAWL SURVEY (IBTS)
AB Trait-based ecology strives to better understand how species, through their bio-ecological traits, respond to environmental changes, and influence ecosystem functioning. Identifying which traits are most responsive to environmental changes can provide insight for understanding community structuring and developing sustainable management practices. However, misinterpretations are possible, because standard statistical methods (e.g., principal component analysis and linear regression) for identifying and ranking the responses of different traits to environmental changes ignore interspecific differences. Here, using both artificial data and real-world examples from marine fish communities, we show how considering species-specific responses can lead to drastically different results than standard community-level methods. By demonstrating the potential impacts of interspecific differences on trait dynamics, we illuminate a major, yet rarely discussed issue, highlighting how analytical misinterpretations can confound our basic understanding of trait responses, which could have important consequences for biodiversity conservation. 
PY 2019
PD DEC
SO Marine Biology
SN 0025-3162
PU Springer Science and Business Media LLC
VL 166
IS 12
UT 000496131000001
DI 10.1007/s00227-019-3602-5
ID 70266
ER

EF