FN Archimer Export Format
PT J
TI A quantitative estimate of the function of soft-bottom sheltered coastal areas as essential flatfish nursery habitat
BT 
AF TRIMOREAU, E.
   ARCHAMBAULT, Benoit
   BRIND'AMOUR, Anik
   LEPAGE, Mario
   GUITTON, Jerome
   LE PAPE, O.
AS 1:1;2:1;3:2;4:3;5:1;6:1;
FF 1:;2:;3:PDG-RBE-EMH;4:;5:;6:;
C1 AGROCAMPUS OUEST, ESE Ecol & Sante Ecosyst UMR985, F-35042 Rennes, France.
   IFREMER, Ctr Nantes, F-44311 Nantes, France.
   Irstea, Unite Ecosyst Estuariens & Poissons Migrateurs Am, F-33612 Cestas, France.
C2 AGROCAMPUS OUEST, FRANCE
   IFREMER, FRANCE
   IRSTEA, FRANCE
SI NANTES
SE PDG-RBE-EMH
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-p187
IF 2.253
TC 16
TU AGROCAMPUS OUEST
   IFREMER
   INRA
   IRSTEA
UR https://archimer.ifremer.fr/doc/00164/27546/25720.pdf
LA English
DT Article
CR MISOLRE
   NURSE 19
   NURSE 2000
   NURSE 2001
   NURSE 2002
   NURSE 2008
   NURSE 2009
   NURSE 2010
   NURSE 92
   NURSE 93
   NURSE II
   NURSE IV
   NURSE X
   NURSE XI
   NURSE XIII
   NURSE XV
   PECOS I
   PECOS IV
   PECOS V
   PECOS VIII
   PECOS XI
   SOLDIF 9 - NURSE 18
BO Gwen Drez
   Roselys II
DE ;coastal and estuarine dependent species;nursery ground;habitat suitability models;Geographic Information System;Bay of Biscay
AB Essential fish habitat suitability (EFHS) models and geographic information system (GIS) were combined to describe nursery habitats for three flatfish species (Solea solea, Pleuronectes platessa, Dicologlossa cuneata) in the Bay of Biscay (Western Europe), using physical parameters known or suspected to influence juvenile flatfish spatial distribution and density (i.e. bathymetry, sediment, estuarine influence and wave exposure). The effects of habitat features on juvenile distribution were first calculated from EFHS models, used to identify the habitats in which juvenile are concentrated. The EFHS model for S. solea confirmed previous findings regarding its preference for shallow soft bottom areas and provided new insights relating to the significant effect of wave exposure on nursery habitat suitability. The two other models extended these conclusions with some discrepancies among species related to their respective niches. Using a GIS, quantitative density maps were produced from EFHS models predictions. The respective areas of the different habitats were determined and their relative contributions (density × area) to the total amount of juveniles were calculated at the scale of stock management, in the Bay of Biscay. Shallow and muddy areas contributed to 70% of total juvenile relative abundance whereas only representing 16% of the coastal area, suggesting that they should be considered as essential habitats for these three flatfish species. For S. solea and P. platessa, wave exposure explained the propensity for sheltered areas, where concentration of juveniles was higher. Distribution maps of P. platessa and D. cuneata juveniles also revealed opposite spatial and temporal trends which were explained by the respective biogeographical distributions of these two species, close to their southern and northern limit respectively, and by their responses to hydroclimatic trends.
PY 2013
PD NOV
SO Estuarine Coastal And Shelf Science
SN 0272-7714
PU Academic Press Ltd- Elsevier Science Ltd
VL 133
UT 000326848200020
BP 193
EP 205
DI 10.1016/j.ecss.2013.08.027
ID 27546
ER

EF