FN Archimer Export Format
PT J
TI Estimating proxy economic target reference points in data-poor single-species fisheries
BT 
AF PASCOE, Sean
   THEBAUD, Olivier
   VIEIRA, Simon
AS 1:1;2:1,2;3:3;
FF 1:;2:PDG-RBE-EM;3:;
C1 Commonwealth Scientific and Industrial Research Organisation, Oceans and Atmosphere Flagship, EcoSciences Precinct, Post Office Box 2583, Brisbane QLD 4001, Australia
   Institut Français de Recherche pour l’Exploitation de la Mer, Brittany Centre Ifremer, ZI Pointe du Diable, CS 10070, 29280 Plouzané, France
   Australian Bureau of Agricultural and Resource Economics and Sciences, GPO Box 1563, Canberra ACT 2601, Australia
C2 CSIRO, AUSTRALIA
   IFREMER, FRANCE
   ABARES, AUSTRALIA
SI BREST
SE PDG-RBE-EM
IN WOS Ifremer jusqu'en 2018
   copubli-int-hors-europe
IF 1.592
TC 9
UR https://archimer.ifremer.fr/doc/00251/36203/34757.pdf
LA English
DT Article
AB Bioeconomic models have been developed and applied to a range of fisheries around the world. However, an even greater number of fisheries are relatively data poor, and development of traditional bioeconomic models is not feasible. For small-scale fisheries, the cost of data collection and model development may exceed the additional value these models may generate. Fisheries biologists have grappled with similar issues and have developed a range of data-poor methods for estimating reference points related to fishing mortality based on life history characteristics and other indicators. In other cases, catch and effort data may be sufficient to estimate sustainable biomass levels. However, model-derived economic target reference points require robust biological models as well as appropriate economic information, both of which are often unavailable. In this paper, we extend the data-poor work to move from biological to economic target reference points for single-species fisheries. We show that the relationship between economic (maximum economic yield) and biological (maximum sustainable yield) reference points depends primarily on the cost : revenue ratio, and that, where unavailable, these can be inferred from fisheries characteristics. We show that good estimates of biomass- and effort-based economic target reference points can be achieved with limited data.
PY 2014
SO Marine And Coastal Fisheries
SN 1942-5120
PU Taylor & Francis
VL 6
IS 1
UT 000350126700003
BP 247
EP 259
DI 10.1080/19425120.2014.966215
ID 36203
ER

EF