Am Nat. 2020 Aug;196(2):157-168. doi: 10.1086/709009. Epub 2020 Jun 11.
The consequences of environmental disturbance and management are difficult to quantify for spatially structured populations because changes in one location carry through to other areas as a result of species movement. We develop a metric, , for measuring the contribution of a habitat or pathway to network-wide population growth rate in the face of environmental change. This metric is different from other contribution metrics, as it quantifies effects of modifying vital rates for habitats and pathways in perturbation experiments. Perturbation treatments may range from small degradation or enhancement to complete habitat or pathway removal. We demonstrate the metric using a simple metapopulation example and a case study of eastern monarch butterflies. For the monarch case study, the magnitude of environmental change influences the ordering of node contribution. We find that habitats within which all individuals reside during one season are the most important to short-term network growth under complete removal scenarios, whereas the central breeding region contributes most to population growth over all but the strongest disturbances. The metric provides for more efficient management interventions that proactively mitigate impacts of expected disturbances to spatially structured populations.
由于物种的迁移，环境干扰和管理的后果对于空间结构种群来说很难量化，因为一个地方的变化会传播到其他区域。我们开发了一种指标 ，用于衡量在面对环境变化时，栖息地或途径对网络范围内种群增长率的贡献。这个指标与其他贡献指标不同，因为它量化了在干扰实验中修改栖息地和途径关键率的影响。干扰处理的范围可以从小的退化或增强到完全去除栖息地或途径。我们使用一个简单的复合种群示例和东部帝王蝶的案例研究来演示这个指标。对于帝王蝶的案例研究，环境变化的程度影响节点贡献的排序。我们发现，在完全去除的情况下，一个季节中所有个体都居住的栖息地对短期网络增长最为重要，而在除了最强干扰之外的所有情况下，繁殖中心区域对种群增长的贡献最大。指标 为更有效的管理干预提供了支持，这些干预可以主动减轻对空间结构种群的预期干扰的影响。
