Species distribution models (SDMs) are frequently used to understand the influence of site properties on species occurrence. For robust model inference, SDMs need to account for the spatial autocorrelation of virtually all species occurrence data. Current methods do not routinely distinguish between extrinsic and intrinsic drivers of spatial autocorrelation, although these may have different implications for conservation.

中文翻译：

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分解物种分布模型中空间自相关的驱动力

物种分布模型（SDM）经常用于了解站点属性对物种发生的影响。为了进行可靠的模型推断，SDM需要考虑几乎所有物种发生数据的空间自相关。当前的方法没有常规区分空间自相关的外在驱动因素和内在驱动因素，尽管这些方法可能会对保护产生不同的影响。