Department of Biology, York University, Toronto, ON, Canada.
The National Center for Ecological Analysis and Synthesis, UCSB, Santa Barbara, CA, USA.
Sci Rep. 2020 Mar 17;10(1):4884. doi: 10.1038/s41598-020-61880-9.
Globally, no species is exempt from the constraints associated with limited available habitat or resources, and endangered species in particular warrant critical examination. In most cases, these species are restricted to limited locations, and the relative likelihood of resource use within the space they can access is important. Using Gambelia sila, one of the first vertebrate species listed as endangered, we used resource selection function analysis of telemetry and remotely sensed data to identity key drivers of selected versus available locations for this species in Carrizo Plain National Monument, USA. We examined the probability of selection given different resource types. Increasing shrub cover, lower and relatively more flat sites, increasing normalized difference vegetation index, and solar radiation all significantly predicted likelihood of observed selection within the area sampled. Imagery data were also validated with fine-scale field data showing that large-scale contrasts of selection relative to available location patterns for animal species are a useful lens for potential habitat. Key environmental infrastructure such as foundation plant species including shrubs or local differences in the physical attributes were relevant to this endangered species.
从全球范围来看,没有任何物种能够免受有限的栖息地或资源的限制,尤其是濒危物种更需要我们进行深入研究。在大多数情况下,这些物种的生存空间都受到限制,它们在可利用空间内对资源的利用概率非常重要。我们使用了首批被列为濒危物种的 Gambelia sila 作为研究对象,通过遥测和遥感数据分析资源选择功能,确定了该物种在美国卡里佐平原国家保护区选择与可用地点的关键驱动因素。我们研究了不同资源类型下选择的概率。增加灌木覆盖、更低且相对平坦的地点、增加归一化差异植被指数和太阳辐射,都显著预测了在采样区域内观察到的选择的可能性。图像数据也通过与精细尺度实地数据的验证表明,相对于动物物种的可用地点模式,选择的大尺度对比是潜在栖息地的一个有用视角。关键的环境基础设施,如包括灌木在内的基础植物物种或局部物理属性差异,与这个濒危物种相关。