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Optimal surveillance strategy for invasive species management when surveys stop after detection

机译:发现后停止调查时,入侵物种管理的最佳监视策略

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AbstractInvasive species are a cause for concern in natural and economic systems and require both monitoring and management. There is a trade-off between the amount of resources spent on surveying for the species and conducting early management of occupied sites, and the resources that are ultimately spent in delayed management at sites where the species was present but undetected. Previous work addressed this optimal resource allocation problem assuming that surveys continue despite detection until the initially planned survey effort is consumed. However, a more realistic scenario is often that surveys stop after detection (i.e., follow a “removal” sampling design) and then management begins. Such an approach will indicate a different optimal survey design and can be expected to be more efficient. We analyze this case and compare the expected efficiency of invasive species management programs under both survey methods. We also evaluate the impact of mis-specifying the type of sampling approach during the program design phase. We derive analytical expressions that optimize resource allocation between monitoring and management in surveillance programs when surveys stop after detection. We do this under a scenario of unconstrained resources and scenarios where survey budget is constrained. The efficiency of surveillance programs is greater if a “removal survey” design is used, with larger gains obtained when savings from early detection are high, occupancy is high, and survey costs are not much lower than early management costs at a site. Designing a surveillance program disregarding that surveys stop after detection can result in an efficiency loss. Our results help guide the design of future surveillance programs for invasive species. Addressing program design within a decision-theoretic framework can lead to a better use of available resources. We show how species prevalence, its detectability, and the benefits derived from early detection can be considered.
机译:摘要入侵物种是引起自然和经济系统关注的原因,需要监测和管理。在用于物种调查和对占用场地的早期管理所花费的资源量与最终在存在但未被发现的物种处进行延迟管理所花费的资源之间存在一个权衡。以前的工作解决了此最佳资源分配问题,假设尽管调查被发现,调查仍会继续进行,直到消耗了最初计划的调查工作。但是,更现实的情况通常是,调查在发现后停止(即遵循“删除”抽样设计),然后开始管理。这样的方法将指示不同的最佳调查设计,并且可以预期更加有效。我们分析了这种情况,并比较了两种调查方法下入侵物种管理计划的预期效率。我们还将评估在程序设计阶段错误指定采样方法类型的影响。当发现后停止调查时,我们导出分析表达式以优化监视程序中监视和管理之间的资源分配。我们在资源不受限制的情况下以及调查预算受限制的情况下进行此操作。如果使用“搬迁调查”设计,则监视程序的效率会更高;当早期发现节省的费用高,占用率高且调查成本不会比现场的早期管理成本低很多时,监控程序的效率会更高。设计一个监视程序,而不考虑在检测到后停止调查,可能会导致效率降低。我们的结果有助于指导未来入侵物种监测计划的设计。在决策理论框架内处理程序设计可导致更好地利用可用资源。我们展示了如何考虑物种普遍性,其可检测性以及从早期检测中获得的收益。

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