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Accounting for uncertainty in marine reserve design

机译:解释海洋保护区设计中的不确定性

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摘要

Ecosystems and the species and communities within them are highly complex systems that defy predictions with any degree of certainty. Managing and conserving these systems in the face of uncertainty remains a daunting challenge, particularly with respect to developing networks of marine reserves. Here we review several modelling frameworks that explicitly acknowledge and incorporate uncertainty, and then use these methods to evaluate reserve spacing rules given increasing levels of uncertainty about larval dispersal distances. Our approach finds similar spacing rules as have been proposed elsewhere - roughly 20-200 km - but highlights several advantages provided by uncertainty modelling over more traditional approaches to developing these estimates. In particular, we argue that uncertainty modelling can allow for (1) an evaluation of the risk associated with any decision based on the assumed uncertainty; (2) a method for quantifying the costs and benefits of reducing uncertainty; and (3) a useful tool for communicating to stakeholders the challenges in managing highly uncertain systems. We also argue that incorporating rather than avoiding uncertainty will increase the chances of successfully achieving conservation and management goals.
机译:生态系统以及其中的物种和社区是高度复杂的系统,可以毫无把握地违背预测。面对不确定性,管理和保护这些系统仍然是一项艰巨的挑战,特别是在发展海洋保护区网络方面。在这里,我们回顾了几个明确承认并包含不确定性的建模框架,然后在给定的有关幼虫扩散距离的不确定性水平不断提高的情况下,使用这些方法来评估储层间距规则。我们的方法发现了与其他地方提出的相似的间距规则-大约20-200 km-但强调了不确定性建模所提供的一些优势,而不是采用更传统的方法来进行这些估算。特别是,我们认为不确定性建模可以允许(1)根据假定的不确定性评估与任何决策相关的风险; (2)量化减少不确定性的成本和收益的方法; (3)一种有用的工具,用于与利益相关者沟通管理高度不确定的系统时遇到的挑战。我们还认为,纳入而不是避免不确定性将增加成功实现保护和管理目标的机会。

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