Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 226 Russell Labs, 1630 Linden Drive, Madison, WI, 53706, USA.
Glob Chang Biol. 2014 Jul;20(7):2087-99. doi: 10.1111/gcb.12510. Epub 2014 May 2.
Developing conservation strategies for threatened species increasingly requires understanding vulnerabilities to climate change, in terms of both demographic sensitivities to climatic and other environmental factors, and exposure to variability in those factors over time and space. We conducted a range-wide, spatially explicit climate change vulnerability assessment for Eastern Massasauga (Sistrurus catenatus), a declining endemic species in a region showing strong environmental change. Using active season and winter adult survival estimates derived from 17 data sets throughout the species' range, we identified demographic sensitivities to winter drought, maximum precipitation during the summer, and the proportion of the surrounding landscape dominated by agricultural and urban land cover. Each of these factors was negatively associated with active season adult survival rates in binomial generalized linear models. We then used these relationships to back-cast adult survival with dynamic climate variables from 1950 to 2008 using spatially explicit demographic models. Demographic models for 189 population locations predicted known extant and extirpated populations well (AUC = 0.75), and models based on climate and land cover variables were superior to models incorporating either of those effects independently. These results suggest that increasing frequencies and severities of extreme events, including drought and flooding, have been important drivers of the long-term spatiotemporal variation in a demographic rate. We provide evidence that this variation reflects nonadaptive sensitivity to climatic stressors, which are contributing to long-term demographic decline and range contraction for a species of high-conservation concern. Range-wide demographic modeling facilitated an understanding of spatial shifts in climatic suitability and exposure, allowing the identification of important climate refugia for a dispersal-limited species. Climate change vulnerability assessment provides a framework for linking demographic and distributional dynamics to environmental change, and can thereby provide unique information for conservation planning and management.
制定受威胁物种的保护策略越来越需要了解气候变化的脆弱性,包括对气候和其他环境因素的人口统计学敏感性,以及对这些因素在时间和空间上的变化的暴露程度。我们对东马萨诸塞蛇(Sistrurus catenatus)进行了全范围、空间明确的气候变化脆弱性评估,这是一个在环境变化强烈的地区下降的特有物种。利用来自整个物种范围内的 17 个数据集得出的活跃季节和冬季成年存活率估计,我们确定了对冬季干旱、夏季最大降水量以及周围景观中农业和城市土地覆盖比例的人口统计学敏感性。这些因素在二项广义线性模型中与活跃季节成年存活率呈负相关。然后,我们使用这些关系,通过使用空间明确的人口统计模型,从 1950 年到 2008 年回溯动态气候变量的成年存活率。189 个种群位置的人口统计模型很好地预测了已知现存和灭绝的种群(AUC = 0.75),并且基于气候和土地覆盖变量的模型优于单独包含这些效应的模型。这些结果表明,极端事件的频率和严重程度的增加,包括干旱和洪水,一直是人口增长率长期时空变化的重要驱动因素。我们提供的证据表明,这种变化反映了对气候胁迫因素的非适应性敏感性,这是一个高度保护关注物种长期人口下降和范围收缩的原因。全范围人口统计模型有助于理解气候适宜性和暴露的空间变化,从而确定对扩散受限物种重要的气候避难所。气候变化脆弱性评估为将人口统计学和分布动态与环境变化联系起来提供了一个框架,从而为保护规划和管理提供了独特的信息。