Estimating proxy economic target reference points in data-poor single-species fisheries

Type Article
Date 2014
Language English
Author(s) Pascoe Sean1, Thebaud OlivierORCID1, 2, Vieira Simon3
Affiliation(s) 1 : Commonwealth Scientific and Industrial Research Organisation, Oceans and Atmosphere Flagship, EcoSciences Precinct, Post Office Box 2583, Brisbane QLD 4001, Australia
2 : Institut Français de Recherche pour l’Exploitation de la Mer, Brittany Centre Ifremer, ZI Pointe du Diable, CS 10070, 29280 Plouzané, France
3 : Australian Bureau of Agricultural and Resource Economics and Sciences, GPO Box 1563, Canberra ACT 2601, Australia
Source Marine And Coastal Fisheries (1942-5120) (Taylor & Francis), 2014 , Vol. 6 , N. 1 , P. 247-259
DOI 10.1080/19425120.2014.966215
WOS© Times Cited 6
Abstract 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.
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