FN Archimer Export Format
PT J
TI A generic approach to develop a trait-based indicator of trawling-induced disturbance
BT 
AF Beauchard, O
   BRIND'AMOUR, Anik
   Schratzberger, M
   Laffargue, Pascal
   Hintzen, NT
   Somerfield, PJ
   Piet, G
AS 1:1,2;2:3;3:4;4:3;5:5;6:6;7:5;
FF 1:;2:PDG-RBE-EMH;3:;4:PDG-RBE-EMH;5:;6:;7:;
C1 Netherlands Institute for Sea Research and Utrecht University, Department of Estuarine and Delta Systems, Korringaweg 7, PO Box 140, Yerseke 4401 NT, the Netherlands
   Ecosystem Management Research Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
   IFREMER, Unité Ecologie et Modèles pour l’Halieutique, rue de l’Ile d’Yeu, BP 21105, 44311 Nantes Cedex 3, France
   Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory, Pakefield Road, Lowestoft NR33 0HT, UK
   Wageningen Marine Research, Wageningen UR, IJmuiden 1970 AB, the Netherlands
   Plymouth Marine Laboratory, Prospect Place, Plymouth PL1 3DH, UK
C2 UNIV UTRECHT, NETHERLANDS
   UNIV ANTWERP, BELGIUM
   IFREMER, FRANCE
   CEFAS, UK
   UNIV WAGENINGEN, NETHERLANDS
   PML, UK
SI NANTES
SE PDG-RBE-EMH
IN WOS Ifremer UPR
   copubli-europe
IF 2.915
TC 9
UR https://archimer.ifremer.fr/doc/00725/83713/91525.pdf
LA English
DT Article
CR EVHOE EVALUATION HALIEUTIQUE OUEST DE L'EUROPE
DE ;Benthic macroinvertebrate;Bottom trawling;Natural history;Biological trait;Composite indicator;Time scale;Confounding effect
AB Biological trait analysis has become a popular tool to infer the vulnerability of benthic species to trawling-induced disturbance. Approaches using multiple traits are being developed, but their generic relevance across faunal components and geographic locations remains poorly tested, and the importance of confounding effects are poorly recognised. This study integrates biological traits of benthic species that are responsive to instantaneous effects of trawling (i.e. sensitivity) and traits expressing recoverability over the longer term (i.e. years). We highlight the functional independence between these 2 components in response to trawling, test the behaviours of single and combined traits and account for potential confounding effects of environment and trawling intensity on benthic communities through variation partitioning. Two case studies are considered: epibenthos from the Bay of Biscay and endobenthos of the Dutch sector of the North Sea. The response to trawling is most pronounced when multiple traits covering different aspects that determine population dynamics (i.e. sensitivity and recoverability) are combined, despite confounding effects between gradients of benthic production and trawling intensity, especially for endobenthos. The integration of traits reflecting both sensitivity and recoverability provides complementary information on the faunal response to trawling, bridging the gap between fishing impact assessments and benthic community status assessments. 
PY 2021
PD SEP
SO Marine Ecology Progress Series
SN 0171-8630
PU Inter-Research Science Center
VL 675
UT 000705292800003
BP 35
EP 52
DI 10.3354/meps13840
ID 83713
ER

EF