Data for: Modeling climate-driven range shifts in populations of two bird species limited by habitat independent of climate

Ranges of species around the world are expected to contract in response to climate change. Species distribution models (SDMs) are a powerful tool for predicting changes in habitat availability, but the variables selected to create SDMs influence their performance. In addition to climate, habitat characteristics and species traits can play a role in predicted species distribution. In this paper, we consider how variable selection influences the accuracy of SDMs when applied to isolated subpopulations of two widely distributed bird species: the great gray owl (Strix nebulosa) and the willow flycatcher (Empidonax traillii). In the Sierra Nevada of California, these species are restricted largely to discrete patches of meadow habitat within a forest matrix, providing the potential to identify specific locations to target conservation efforts. We contrast predictions made by SDMs that consider climatic variables alone with those that incorporate both climate and geophysical variables. Adding...

受气候变化影响，全球范围内的物种分布范围预计将缩减。物种分布模型（Species Distribution Models，SDMs）是预测栖息地可用性变化的有力工具，但用于构建SDMs的变量选择会影响其模型性能。除气候因素外，栖息地特征与物种自身性状也会对预测的物种分布产生影响。本研究聚焦于变量选择对SDMs应用于两种广布鸟类隔离亚种群时的精度影响，这两种鸟类分别为乌林鸮（Strix nebulosa）和柳纹霸鹟（Empidonax traillii）。在加利福尼亚州内华达山脉区域，这两种鸟类主要栖息于森林基质中的离散草甸生境斑块中，这为确定针对性保护工作的具体地点提供了可行性。本研究对比了仅使用气候变量构建的SDMs与同时纳入气候及地球物理变量的SDMs所得到的预测结果。后续内容为……