Species distribution models (SDMs) are valuable for rare species conservation and are commonly used to extrapolate predictions of habitat suitability geographically to regions where species occurrence is unknown (i.e., transferability). Spatially structured cross‐validation can be used to infer transferability, yet, few studies have evaluated how delineation of cross‐validation folds affects model complexity and predictions. We developed SDMs using multiple cross‐validation approaches to understand the implications for predicting habitat suitability for northern Idaho ground squirrels, a rare, federally threatened species that has been extensively surveyed in regions where known populations occur, resulting in >8000 presence locations.

中文翻译：

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平衡稀有物种保护的可传播性和物种分布模型的复杂性

物种分布模型（SDM）对于稀有物种保护很有价值，并且通常用于在地理上将栖息地的适宜性预测外推到未知物种发生（即可转移性）的区域。可以使用空间结构化的交叉验证来推断可传递性，但是，很少有研究评估交叉验证折线的描绘如何影响模型的复杂性和预测。我们使用多种交叉验证方法开发了SDM，以了解预测爱达荷州北部松鼠栖息地适宜性的含义，爱达荷州地松鼠是一种稀有的，受到联邦威胁的物种，已经在已知种群发生地区进行了广泛调查，结果发现存在> 8000个地点。