2014
DOI: 10.1016/j.fishres.2013.12.014
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Evaluating methods for setting catch limits in data-limited fisheries

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Cited by 231 publications
(212 citation statements)
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References 23 publications
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“…Looking at the 12 ecoregions supporting the 397 stocks analyzed in this study (Table 1), including nine large marine ecosystems also analyzed in Worm et al [59], no region had an average exploitation rate at or below the rate predicted to achieve maximum sustainable yields (Table 1). Similarly, Rosenberg et al [64] apply a combination of four data-limited methods with strong known biases [24,65] and no corrections for reduced recruitment to global catch data and conclude that, e.g., half of the stocks in the Northeast Atlantic and the Mediterranean and Black Sea have a biomass near or above B msy in 2013, whereas our more detailed study shows that this applies to only 28% and 5% of these stocks, respectively.…”
Section: Suitability Of Surplus Production Models For Stock Assessmentmentioning
confidence: 54%
“…Looking at the 12 ecoregions supporting the 397 stocks analyzed in this study (Table 1), including nine large marine ecosystems also analyzed in Worm et al [59], no region had an average exploitation rate at or below the rate predicted to achieve maximum sustainable yields (Table 1). Similarly, Rosenberg et al [64] apply a combination of four data-limited methods with strong known biases [24,65] and no corrections for reduced recruitment to global catch data and conclude that, e.g., half of the stocks in the Northeast Atlantic and the Mediterranean and Black Sea have a biomass near or above B msy in 2013, whereas our more detailed study shows that this applies to only 28% and 5% of these stocks, respectively.…”
Section: Suitability Of Surplus Production Models For Stock Assessmentmentioning
confidence: 54%
“…Emerging data-poor methods used to analyze fish stocks have included catch data, similar to that collected by researchers in Bejuco, to determine sustainable yields for data-poor fishery resources (Cope & Punt, 2009;MacCall, 2009;Dick & MacCall, 2011). The performance of these target reference points could then be gauged by a management strategy evaluation (Carruthers et al, 2014). While these techniques should be used to further analyze the Bejuco bottom-longline fishery's data, they should be implemented in conjunction with strategies that continue monitoring snapper catch and environmental data for future analysis.…”
Section: Resultsmentioning
confidence: 99%
“…Because fishery managers in developing countries have limited access to sufficient time series of data for stock assessments (Costello et al, 2012;Carruthers et al, 2014), alternative approaches that identify potential changes in the fishery and ecosystem are often more appropriate than sophisticated mathematical analysis (Caddy, 2002). These approaches, however, must also take into account not just resource and data availability, but also that complex societal structures make the governance of the ecosystems -within which these resources exist -inherently difficult (Bodin & Crona, 2009).…”
mentioning
confidence: 99%
“…Thus administrators need to weigh the benefits and negative impacts of ITQs when implementing these and that they should not be seen as the panacea for solving all fisheries management problems (Gibbs, 2009;Pinkerton and Edwards, 2009;Clark et al, 2010;Essington, 2010), particularly in small-scale fisheries in developing countries (Davis and Ruddle, 2012;Béné et al, 2010). Despite the doubts and problems about the applicability of ITQs for managing multi-species and data poor http://repository.uwc.ac.za fisheries that are typical of small-scale fisheries in developing countries (Pauly, 1996;Sumaila, 2010), new methods of setting catch limits for data-poor fisheries (Carruthers et al, 2014;Newman et al, 2015) provide hope that such problems could be overcome.…”
Section: Rights Based Managementmentioning
confidence: 99%