FN Archimer Export Format
PT J
TI Quantitative mapping of fish habitat: A useful tool to design spatialised management measures and marine protected area with fishery objectives
BT 
AF LE PAPE, O.
   DELAVENNE, Juliette
   VAZ, Sandrine
AS 1:1;2:2;3:3;
FF 1:;2:PDG-DOP-DCMMN-HMMN-RHBL;3:PDG-RBE-HM-RHSETE;
C1 Agrocampus Ouest, ESE Ecol & Sante Ecosystem UMR985, F-35042 Rennes, France.
   IFREMER, Lab Ressources Halieut, F-62321 Boulogne Sur Mer, France.
   IFREMER, UMR EME 212, F-34200 Sete, France.
C2 AGROCAMPUS OUEST, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
SI BOULOGNE
   SETE
SE PDG-DOP-DCMMN-HMMN-RHBL
   PDG-RBE-HM-RHSETE
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 1.748
TC 31
UR https://archimer.ifremer.fr/doc/00165/27585/25791.pdf
LA English
DT Article
AB The delineation of essential fish habitats is necessary to identify, design and prioritize efficient marine protected area (MPA) networks with fishery objectives, capable, in addition to other possible objectives and functions of MPAs, of sustaining the renewal of marine living resources. Both the methods available to map essential fish habitats and the usefulness of these maps are discussed in this paper.  Generally, the first step to obtain maps of essential fish habitats consists in choosing one of the numerous existing statistical approaches to build robust habitat suitability models linking relevant descriptors of the marine environment to the spatial distribution of fish presence or density. When these descriptors are exhaustively known, i.e. maps are available for each of them, geo-referenced predictions from these models and their related uncertainty may be imported into Geographic Information Systems for the quantitative identification and characterization of key sites for the marine living resources.  The second part of this paper deals with the usefulness of such quantitative maps for management purposes. These maps allow for the quantitative identification of the different habitats that are required for these marine resources to complete their life cycles and enable to measure their respective importance for population renewal and conservation. The consequences of anthropogenic pressures – not only fishing but also land reclamation, aggregate extractions or degradation of habitat quality (e.g. nutrient excess or xenobiotics loadings, invasive species or global change) – on living resources, may also be simulated from such habitat models. These quantitative maps may serve as input in specific conservation planning software based on the systematic conservation approach. Fish habitat maps thus may help decision makers to select relevant protection areas and design coherent MPA networks which objectives are to sustain fishing resources and fisheries.
PY 2014
PD JAN
SO Ocean & Coastal Management
SN 0964-5691
PU Elsevier Sci Ltd
VL 87
UT 000331414800002
BP 8
EP 19
DI 10.1016/j.ocecoaman.2013.10.018
ID 27585
ER

EF