An adaptable toolkit to assess commercial fishery costs and benefits related to marine protected area network design [version 1; referees: 1 approved, 1 approved with reservations]
An adaptable toolkit to assess commercial fishery costs and benefits related to marine protected area network design [version 1; referees: 1 approved, 1 approved with reservations]
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一个适应性强的工具包,用于评估与海洋保护区网络设计相关的商业渔业成本和效益[版本1;
DOI:
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发表时间:
2015
期刊:
影响因子:
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通讯作者:
CJ Monaco
中科院分区:
文献类型:
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作者:
Rémi M. Daigle;C. Monaco;A. Elgin;P. Peres‐Neto;M. Andrello;RM Daigle;CJ Monaco
Around the world, governments are establishing Marine Protected Area (MPA) networks to meet their commitments to the United Nations Convention on Biological Diversity. MPAs are often used in an effort to conserve biodiversity and manage fisheries stocks. However, their efficacy and effect on fisheries yields remain unclear. We conducted a case-study on the economic impact of different MPA network design strategies on the Atlantic cod ( Gadus morhua ) fisheries in Canada. The open-source R toolbox that we developed to analyze this case study can be customized to conduct similar analyses for other systems. We used a spatially-explicit individual-based model of population growth and dispersal coupled with a fisheries management and harvesting component. We found that MPA networks that both protect the target species’ habitat (particularly the spawning grounds), and were spatially optimized to improve population connectivity had the highest net present value (i.e., were most profitable for the fishing industry). These higher profits were achieved primarily by reducing the distance travelled for fishing and reducing the probability of a moratorium event. These findings add to a growing body of knowledge demonstrating the importance of incorporating population connectivity in the MPA planning process, as well as the ability of this R toolbox to explore ecological and economic consequences of alternative MPA network designs. This paper reports a quantitative tool that can be used to analyze the economical impact of different network designs for marine protected areas. The framework is quite flexible and will provide a useful toolkit for discussing the pros and cons of different designs. That said, I feel that it considered very little discussion regarding other potential algorithms and also how to consider multiple species at the same time. In particular, would the authors suggest to model different species separately and then build a consensus across different MPA designs? Some discussion on this issue would be particularly important. Another issue is environmental heterogeneity. I think it would be important that the authors at least discuss how environmental heterogeneity should be taken into account in designing MPA across different scenarios. Large habitat heterogeneity within a given area or across areas would certainly lead to different design decisions than small heterogeneity. How does the matrix and quality of corridors should be considered. In sum, I think this is a much needed tool but the authors need to provide some additional information on how they see it being applied considering multiple species and environmental heterogeneity. Competing Interests: No competing interests were disclosed. I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.