Evaluation of the bioeconomic sustainability of multi-species multi-fleet fisheries under a wide range of policy options using ISIS-Fish

Abstract

In order to provide reliable scientific advice and support for fisheries management, it is necessary to evaluate the biological and economic sustainability of complex fisheries, such as multi-species multifleet fisheries. Existing policy-screening modelling tools are not fully suitable in this purpose due to either an oversimplified description of population dynamics, or due to the lack of consideration of economic aspects. In this paper, we present a package that enables quantitative bioeconomic assessment of management scenarios. Population dynamics is described through spatially-and seasonally-explicit models. Exploitation dynamics is characterized by several fishing activities with specific spatial and seasonal features, and practiced by several kinds of vessels with specific technical characteristics. Exploitation costs and revenues are considered at several levels: the fishing trip, the fishing unit (vessel and crew), and the vessel owner. The model is generic and can be used for different types of fisheries. A database is attached to the software for the storage and updating of information for each fishery. This includes the specification of model dimensions and of the parameters describing populations and exploitation. Several model assumptions regarding either population or exploitation may be adapted to suit a specific fishery. Both policies and corresponding fishers' response may be interactively specified through JAVA™ scripts. This version of ISIS-Fish allows for the calculation of biological and economic consequences of a range of policies, including conventional ones like catch and effort controls, and alternative policies such as marine protected areas. To facilitate policyscreening in a high-dimension parameter space, the software includes features, like interfaces for sensitivity analysis and simulation queues.

Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

“…12 ISIS-FISH Mahevas & Pelletier, 2004;Pelletier et al, 2009;Drouineau, Mahévas, Pelletier, & Beliaeff, 2006;Drouineau, Mahévas, Bertignac, & Duplisea, 2010;Duplisea, 2010;Lehuta, Mahévas, Petitgas, & Pelletier, 2010;Rocklin, Pelletier, Mouillot, Tomasini, & Culioli, 2010;Lehuta, Mahévas, & Le Floc'h, 2013;Lehuta, Petitgas, et al, 2013;Lehuta, Holland, & Pershing, 2014;Lehuta, Vermard, & Marchal, 2015;Rochet & Rice, 2010;Marchal, Little, & Thebaud, 2011;Marchal, De Oliveira, Lorance, Baulier, & Pawlowski, 2013;Hussein et al, 2011a,b;Vermard et al, 2012;Gasche, Mahevas, & Marchal, 2013;Reecht et al, 2015. 13 BALTIC FLR-SMS Bastardie et al, 2009;Bastardie, Nielsen, & Kraus, 2010;Bastardie, Vinther, Nielsen, Ulrich, & Storr-Paulsen, 2010;Bastardie, Vinther, & Nielsen, 2012;Bastardie, Nielsen, & Vinther, 2015;Nielsen et al, 2011;Feekings et al, (submitted). Macher, Guyader, Talidec, & Bertignac, 2008;Macher et al, 2013;Merzéréaud, Biais, Lissardy, Bertignac, & Biseau, 2013;Merzéréaud et al, 2011;Simmonds et al, 2011;Raveau et al, 2012;Guillén et al, 2013;Guillén, Macher, Merzéréaud, Fifas, & Guyader, 2014;Guillén, Macher, Merzéréaud, Boncoeur, & Guyader, 2015;EU STECF, 2015a…”

A transdisciplinary research of coastal fisheries co-management: the case of the hairtail Trichiurus japonicus trolling line fishery around the Bungo Channel, Japan

“…Some of the latest studies have linked management strategies with spatial behaviour models to evaluate the movements of target species or fishers [19][20][21]. However, no previous studies have linked stochastic recruitment (in this study, the occurrence of strong year classes) to a seasonal adaptive management strategy for multiple fishery sectors, which is then linked to a local fish-distribution strategy.…”

“…Theoretically, there are many management measures that can be introduced for sustainable fisheries [1,19,30]. To achieve a resilient management regime, we need to develop a portfolio of several management measures that fit with the biological nature of hairtail as well as the socioeconomic issues relating to the trolling line fishery in the Usuki area [31].…”

What Have We Learned from the Deepwater Horizon Disaster? An Economist’s Perspective

“…As Barbier (2013) points out, "we often do not know how variation in ecosystem structure, functions, and processes give rise to the change in an ecosystem good or service," (p. 215). Progress is being been made in this regard, however, including the work of Link, Fulton, and Gamble (2010); Pelletier et al (2009);and Rodwell et al (2002).…”