Using network connectivity to prioritise sites for the control of invasive species
Using network connectivity to prioritise sites for the control of invasive species
复制标题
使用网络连接来优先考虑控制入侵物种的地点
DOI：
10.1111/1365-2664.12827
复制
发表时间：
2017
影响因子：
5.7
通讯作者：
T. Etherington
中科院分区：
文献类型：
--
作者：
G. Perry;K. Moloney;T. Etherington
总结
1.栖息地连通性是破碎景观中种群动态的关键决定因素。强调保持连通性，以提高有机体的运动的必然结果是，破坏连通性应尽量减少it. In这里，我们评估的入侵物种控制策略，目标是最连接的栖息地在景观的效率。
2.网络（空间图）提供了景观的直观表示，该网络的拓扑结构可用于识别连接最多的斑块。我们在网络上实现了一个入侵物种传播的模拟模型，并使用它来评估是否针对景观中连接更好的组件可以提高控制效果。
3.基于网络拓扑结构的控制策略始终优于随机栖息地选择的零策略和仅基于分离距离的策略。在入侵过程的早期阶段，当少量的栖息地被占领，在低人口密度的优势是最强的连接为基础的战略。然而，如果长距离扩散事件是常见的连接方法的优势减弱。
4.基于连通性的策略的性能是强大的栖息地水平的人口随机性。事实上，基于连通性的目标优于专注于源栖息地的策略，其额外的好处是需要更少的信息来实施。
5.合成与应用。我们的模拟模型结果表明，故意针对景观的最佳连接组件是一种有效的控制策略，当长距离扩散是罕见的入侵物种，它可能比其他替代方案，如针对人口来源更便宜。网络科学家已经开发了一系列方法，旨在识别图上会破坏整个网络的最小节点集;这些工具有可能帮助设计更有效的控制策略。
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Summary
1.Habitat connectivity is a crucial determinant of population dynamics in fragmented landscapes. The corollary of the emphasis on maintaining connectivity to enhance the movement of organisms is that disrupting connectivity should minimise it. Here we evaluate the efficiency of an invasive species control strategy that targets the most connected habitats in a landscape.
2.A network (spatial graph) provides an intuitive representation of a landscape, and the topology of this network can be used to identify the most connected patches. We implemented a simulation model of the spread of an invasive species on a network and used it to evaluate whether targeting the better-connected components of the landscape enhances control effectiveness.
3.Control strategies based on network topology consistently outperformed both a null strategy of random habitat selection and one based on separation distance alone. The advantages of the connectivity-based strategy were strongest in the early phases of the invasion process, when a small number of habitats are occupied at low population density. However, if long distance dispersal events were common the advantages of the connectivity approach weakened.
4.The performance of the connectivity-based strategy is robust to habitat-level demographic stochasticity. In fact, connectivity-based targeting outperforms a strategy focussing on source habitats, with the additional benefit that it requires less information to be implemented.
5.Synthesis and applications. Our simulation model outcomes demonstrate that deliberately targeting the best-connected components of a landscape is an efficient control strategy for invasive species when long-distance dispersal is infrequent, and it is likely to be cheaper than other alternatives such as targeting population sources. Network scientists have developed a range of methods designed to identify the minimal set of nodes on a graph that will disrupt the network as a whole; these tools have potential to aid in the design of more effective control strategies.
This article is protected by copyright. All rights reserved.