Validating network connectivity with observed movement in experimental landscapes undergoing habitat destruction
Validating network connectivity with observed movement in experimental landscapes undergoing habitat destruction
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通过在经历栖息地破坏的实验景观中观察到的运动来验证网络连接
DOI：
10.1111/1365-2664.13624
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发表时间：
2020
影响因子：
5.7
通讯作者：
Kaplan, ed., Ian
中科院分区：
文献类型：
--
作者：
Poli, Caroline;Hightower, Jessica;Fletcher, Jr., Robert J.;Kaplan, ed., Ian
尽管栖息地不断丧失，但保持生物体在合适的栖息地之间移动的能力对保护生物多样性至关重要。因此，量化连通性已成为保护规划的核心重点。人们已经开发了大量指标来根据栖息地配置、矩阵结构和生物体运动信息来估计潜在的连接性，并且通常假设指标解释了实际的连接性。然而，指标的验证是罕见的，特别是在整个景观经历栖息地损失-一个至关重要的问题，连接性保护旨在缓解。我们利用景观尺度栖息地损失和破碎化实验，以评估常用的斑块和景观尺度连接性指标对观测到的运动数据的性能，测试是否纳入有关矩阵的信息，提高连通性指标，并检查指标的性能跨越梯度的栖息地损失。我们测试了38个连接性指标是否预测了斑块（即斑块移民率）和景观（即，总运动）规模的害虫，仙人掌bugChelinidea vittiger，在15个复制的景观。不同的能力，以解释实际的连接。在补丁规模，dPCflux，它描述了独立的补丁大小的整个景观运动的补丁的贡献，最好的解释移民率。在景观尺度上，总运动最好的解释是中尺度度量，捕捉集群之间的距离补丁（即模块）。简化矩阵并不一定能提高指标预测实际连通性的能力。在整个生境丧失梯度上，dPCflux对生境数量变化较为敏感。我们的研究在斑块和景观尺度上提供了一个急需的网络连接性指标的评估，强调连接性的准确量化不仅需要结合栖息地数量，还需要结合栖息地配置和物种扩散能力的信息。我们认为，栖息地的变化往往可能是更重要的解释网络连接比矩阵，并建议连接指标可能是敏感的栖息地丧失，因此应谨慎应用于高度分散的景观。最后，我们建议应用程序集成中尺度配置的栖息地连接策略。
Maintaining the ability of organisms to move between suitable patches of habitat despite ongoing habitat loss is essential to conserving biodiversity. Quantifying connectivity has therefore become a central focus of conservation planning. A large number of metrics have been developed to estimate potential connectivity based on habitat configuration, matrix structure and information on organismal movement, and it is often assumed that metrics explain actual connectivity. Yet, validation of metrics is rare, particularly across entire landscapes undergoing habitat loss—a crucial problem that connectivity conservation aims to mitigate.We leveraged a landscape‐scale habitat loss and fragmentation experiment to assess the performance of commonly used patch‐ and landscape‐scale connectivity metrics against observed movement data, test whether incorporating information about the matrix improves connectivity metrics and examine the performance of metrics across a gradient of habitat loss. We tested whether 38 connectivity metrics predict movement at the patch (i.e. patch immigration rates) and landscape (i.e., total movements) scale for a pest insect, the cactus bugChelinidea vittiger, across 15 replicate landscapes.Metrics varied widely in their ability to explain actual connectivity. At the patch scale, dPCflux, which describes the contribution of a patch to movement across the landscape independent of patch size, best explained immigration rates. At the landscape scale, total movements were best explained by a mesoscale metric that captures that distance between clusters of patches (i.e. modules). Incorporating the matrix did not necessarily improve the ability of metrics to predict actual connectivity. Across the habitat loss gradient, dPCfluxwas sensitive to habitat amount.Synthesis and applications. Our study provides a much‐needed evaluation of network connectivity metrics at the patch and landscape scales, emphasizing that accurate quantification of connectivity requires the incorporation, not only of habitat amount but also habitat configuration and information on dispersal capability of species. We suggest that variation in habitat may often be more critical for interpreting network connectivity than the matrix, and advise that connectivity metrics may be sensitive to habitat loss and should therefore be applied with caution to highly fragmented landscapes. Finally, we recommend that applications integrate mesoscale configuration of habitat into connectivity strategies.
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