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有害生物、病虫害及濒危物种管理与监测网络通用规则

General rules for managing and surveying networks of pests, diseases, and endangered species.

机构信息

CSIRO Ecosystem Sciences, Ecosciences Precinct, Dutton Park, QLD 4102, Australia.

出版信息

Proc Natl Acad Sci U S A. 2011 May 17;108(20):8323-8. doi: 10.1073/pnas.1016846108. Epub 2011 May 2.

Abstract

The efficient management of diseases, pests, or endangered species is an important global issue faced by agencies constrained by limited resources. The management challenge is even greater when organisms are difficult to detect. We show how to prioritize management and survey effort across time and space for networks of susceptible-infected-susceptible subpopulations. We present simple and robust rules of thumb for protecting desirable, or eradicating undesirable, subpopulations connected in typical network patterns (motifs). We further demonstrate that these rules can be generalized to larger networks when motifs are combined in more complex formations. Results show that the best location to manage or survey a pest or a disease on a network is also the best location to protect or survey an endangered species. The optimal starting point in a network is the fastest motif to manage, where line, star, island, and cluster motifs range from fast to slow. Managing the most connected node at the right time and maintaining the same management direction provide advantages over previously recommended outside-in strategies. When a species or disease is not detected and our belief in persistence decreases, our results recommend shifting resources toward management or surveillance of the most connected nodes. Our analytic approximation provides guidance on how long we should manage or survey networks for hard-to-detect organisms. Our rules take into account management success, dispersal, economic cost, and imperfect detection and offer managers a practical basis for managing networks relevant to many significant environmental, biosecurity, and human health issues.

摘要

有效管理疾病、害虫或濒危物种是受资源有限约束的机构面临的一个重要全球性问题。当生物难以被发现时,管理的挑战就更大了。我们展示了如何为易感染-感染-易感染亚种群的网络在时间和空间上优化管理和调查工作。我们提出了简单而鲁棒的经验法则,用于保护理想的亚种群或根除不理想的亚种群,这些亚种群以典型的网络模式(基序)连接。我们进一步证明,当基序以更复杂的形式组合在一起时,这些规则可以推广到更大的网络。结果表明,在网络上管理或调查害虫或疾病的最佳位置也是保护或调查濒危物种的最佳位置。网络中最佳的管理或调查起点也是管理最快基序的最佳位置,其中线、星、岛和簇基序的速度从快到慢。在正确的时间管理最连通的节点并保持相同的管理方向比之前推荐的从外向内的策略具有优势。当一个物种或疾病没有被发现,我们对其持续存在的信心降低时,我们的结果建议将资源转移到最连通节点的管理或监测上。我们的分析逼近提供了关于我们应该管理或调查网络多长时间以应对难以检测的生物的指导。我们的规则考虑了管理成功、扩散、经济成本和不完善的检测,并为管理者提供了一个实用的基础,用于管理与许多重大环境、生物安全和人类健康问题相关的网络。

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