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首页> 外文期刊>Aquaculture Economics & Management >Special Issue on the Application of Economics in Stakeholder-Driven Aquaculture Development: Guest Editor's Introduction.
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Special Issue on the Application of Economics in Stakeholder-Driven Aquaculture Development: Guest Editor's Introduction.

机译：在利益相关者驱动的水产养殖发展中应用经济学的特刊：客座编辑介绍。

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Population and metapopulation viability analyses are valuable tools for illustrating, in an understandable way, the risk of extinctions, and for exploring probabilities of local and regional persistence under different scenarios (Morris & Doak, 2002; Marsh, 2008). I see the greatest value of these modeling exercises in their ability to help land managers to evaluate alternative management actions and appreciate their relative costs and likely benefits. As Greenwald (2010) shows, actions to promote connectivity can enhance population viability. Restoring connectivity to fragmented landscapes is often extremely costly (think wildlife overpasses), and avoiding fragmentation completely may be even more controversial (think not building the freeway at all). So, models evaluating the importance of habitat connectivity must be convincing to those people on the hook for making big decisions. The greatest barrier to constructing convincing models is obtaining parameter estimates in which we have confidence, which traditionally means labor- and time-intensive mark–recapture studies. Fortunately, the recent work of Greenwald (2010) in addition to others indicates that molecular tools may be surprisingly robust to the challenge of more rapidly and painlessly estimating at least some demographic parameters needed for landscape-scale population modeling.
机译：人口和种群的生存力分析是有价值的工具，以易于理解的方式说明了灭绝的风险，并探讨了在不同情况下局部和区域持久性的可能性（Morris＆Doak，2002; Marsh，2008）。我看到这些建模练习的最大价值在于可以帮助土地管理人员评估替代管理措施并了解其相对成本和可能的收益。如Greenwald（2010）所示，促进连通性的行动可以增强人口的生存能力。恢复与零散景观的连接通常非常昂贵（认为野生动植物立交桥），而完全避免零碎可能更具争议（认为根本不修建高速公路）。因此，评估栖息地连通性重要性的模型必须能够吸引那些做出重大决策的人们。构建令人信服的模型的最大障碍是获得我们有信心的参数估计值，这传统上意味着劳动和时间密集型标记回收研究。幸运的是，Greenwald（2010）的最新工作以及其他工作表明，分子工具对于应对更快，更轻松地估计景观规模人口建模所需的至少一些人口统计学参数的挑战而言，可能出奇地强大。

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