Analytic dataset informing modeling of winter species distributions of North American bat species

The fungal pathogen Pseudogymnoascus destructans and resultant white-nose syndrome (WNS) continues to advance across North America, infecting new bat populations, species, and hibernacula. Western North America hosts the highest bat diversity in the U.S. and Canada, yet little is known about hibernacula and hibernation behavior in this region. An improved understanding of where bats hibernate and the conditions that create suitable hibernacula is critical if land managers are to anticipate and address the conservation needs of WNS-susceptible species in regions yet to be infected. We estimated suitability of potential winter hibernaculum sites across the ranges of five bat species occurring in western North America. We estimated winter survival capacity from a mechanistic survivorship model based on bat bioenergetics and climate conditions. Leveraging the Google Earth Engine platform for spatial data processing, we used boosted regression trees to relate these estimates, along with key ...真菌病原体破坏性假裸囊菌（Pseudogymnoascus destructans）及其引发的白鼻综合征（white-nose syndrome, WNS）仍在北美地区持续扩散蔓延，陆续侵染新的蝙蝠种群、物种及冬眠洞穴（hibernacula）。北美西部拥有美国与加拿大境内最高的蝙蝠物种多样性，但目前学界对该区域的冬眠洞穴及蝙蝠冬眠行为的认知仍较为匮乏。若土地管理者希望预判并应对尚未受WNS感染区域内易感物种的保护需求，明晰蝙蝠的冬眠位点与适宜冬眠洞穴的形成条件，就显得尤为关键。我们针对北美西部分布的5种蝙蝠，基于其分布范围对潜在冬季冬眠位点的适宜性开展了评估。我们依托蝙蝠生物能学（bioenergetics）与气候条件构建机理型存活模型，以此估算蝙蝠的冬季存活能力。本研究借助谷歌地球引擎（Google Earth Engine）平台完成空间数据处理，采用提升回归树（boosted regression trees）算法将上述估算结果与关键变量along with key ...