Isolation predicts compositional change after discrete disturbances in a global meta-study.
Isolation predicts compositional change after discrete disturbances in a global meta-study.
复制标题
在全球荟萃研究中，隔离预测离散干扰后的成分变化。
作者：
Shackelford;N.;Starzomski;B.M.;Banning;N.C.;Battaglia;L.;Becker;A.;Bellingham;P.J.;Bestelmeyer;B.;Catford;J.A.;Dwyer;J.M.;Dynesius;M.;Gilmour;J.;Hallett;L.M.;Hobbs;R.J.;Price;J.;Sasaki;T.;Tanner;E.V.J. & Standish;R.J.
在全球范围内，人为干扰正在以前所未有的速度、在广泛的空间和时间尺度上发生。人类活动也会影响自然干扰，促使其时间和强度发生变化。因此，迫切需要了解和预测生态系统对干扰的响应。在这项研究中，我们调查了不同社区类型、地点和干扰事件中社区对干扰的反应是否存在一般决定因素。我们编制了 14 个关于社区对来自四大洲、十二种水生和陆地生态系统类型以及八种不同类型的干扰的干扰响应的案例研究。我们使用群落组成差异和物种丰富度来指示群落反应。我们使用混合效应模型来测试每个响应指标与四个潜在解释因素之间的关系：区域物种库大小、隔离度、世代数和相对干扰强度。我们发现，当受干扰的群落与邻近的未受干扰的栖息地相连时，干扰前和干扰后的群落之间的组成相似性更高。自干扰事件发生以来经过的世代数是群落组成变化的一个重要但较弱的预测因子；两个社区对所观察到的关系负有责任。我们发现我们测试的因素与物种丰富度变化之间没有显着关系。据我们所知，这是首次尝试从一系列不同的案例研究中寻找社区复原力的一般驱动因素。成分变化和隔离之间的关系强度表明，它可能为复原力研究和生物多样性管理提供信息。
Globally, anthropogenic disturbances are occurring at unprecedented rates and over extensive spatial and temporal scales. Human activities also affect natural disturbances, prompting shifts in their timing and intensities. Thus, there is an urgent need to understand and predict the response of ecosystems to disturbance. In this study, we investigated whether there are general determinants of community response to disturbance across different community types, locations, and disturbance events. We compiled 14 case studies of community response to disturbance from four continents, twelve aquatic and terrestrial ecosystem types, and eight different types of disturbance. We used community compositional differences and species richness to indicate community response. We used mixed‐effects modeling to test the relationship between each of these response metrics and four potential explanatory factors: regional species pool size, isolation, number of generations passed, and relative disturbance intensity. We found that compositional similarity was higher between pre‐ and post‐disturbance communities when the disturbed community was connected to adjacent undisturbed habitat. The number of generations that had passed since the disturbance event was a significant, but weak, predictor of community compositional change; two communities were responsible for the observed relationship. We found no significant relationships between the factors we tested and changes in species richness. To our knowledge, this is the first attempt to search for general drivers of community resilience from a diverse set of case studies. The strength of the relationship between compositional change and isolation suggests that it may be informative in resilience research and biodiversity management.