FN Archimer Export Format
PT J
TI Models and indicators for assessing conservation and fisheries-related effects of marine protected areas
BT 
AF PELLETIER, Dominique
   CLAUDET, Joachim
   FERRARIS, J
   BENEDETTI CECCHI, L
   GARCIA CHARTON, J
AS 1:1;2:2,3;3:4;4:5;5:6;
FF 1:PDG-DOP-DCN-EMH;2:PDG-DOP-DCN-EMH;3:;4:;5:;
C1 IFREMER, Dept Ecol & Modeles Halieut, Inst Francais Rech Exploitat Mer, F-44311 Nantes 03, France.
   Univ Perpignan, EPHE, CNRS, UMR 5244, F-66860 Perpignan, France.
   Univ Salento, Dept Biol & Environm Sci & Technol, I-73100 Lecce, Italy.
   Univ Perpignan, IRD UR CoReUs, F-66860 Perpignan, France.
   Univ Pisa, Dipartimento Fis Uomo & Ambiente, I-56126 Pisa, Italy.
   Univ Murcia, Dept Ecol & Hidrol, E-30100 Murcia, Spain.
C2 IFREMER, FRANCE
   UNIV PERPIGNAN, FRANCE
   UNIV SALENTO, ITALY
   UNIV PERPIGNAN, FRANCE
   UNIV PISA, ITALY
   UNIV MURCIA, SPAIN
SI NOUMEA
   NANTES
SE PDG-DOP-DCN-EMH
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-europe
   copubli-univ-france
IF 2.276
TC 48
UR https://archimer.ifremer.fr/doc/2008/publication-4229.pdf
LA English
DT Article
DE ;ecosystem conservation;fisheries management;modelling;indicators;Marine Protected Areas
AB Two kinds of approaches have been used for assessing conservation and fisheries-related effects of marine protected areas (MPAs): (i) statistical modelling based on field data and (ii) mathematical modelling quantifying the consequences of MPAs on the dynamics of populations, communities, and fisheries. Statistical models provide a diagnostic on the impact of MPAs on the ecosystem and resources; they are also needed for devising and assessing sampling designs for monitoring programs. Dynamic models enable exploration of the consequences of MPA designs and other management policies. We briefly review how each of these approaches has been implemented up to now in the literature and identify potential indicators of MPA effects that can be obtained from each approach to provide scientific advice for managers. Methodological gaps that impede the assessment of MPA effects and the construction of appropriate indicators are then discussed, and recent developments in this respect are presented. We finally propose ways to reconcile the two approaches based on their complementarity to derive suitable indicators to support decision making. In this respect, we suggest in addition that MPA managers should be associated from the beginning to the design and construction of indicators.
PY 2008
PD APR
SO Canadian journal of fisheries and aquatic sciences
SN 0706-652X
PU NRC
VL 65
IS 4
UT 000254780000019
BP 765
EP 779
DI 10.1139/F08-026
ID 4229
ER

EF