Data from 'Cost distances and least cost paths respond differently to cost scenario variations'

A README file is included into the dataset.<br>Abstract of the corresponding article:Biodiversity conservation measures designed to ensure ecological connectivity depend on the reliable modeling of species movements. Least cost path modeling makes it possible to identify the most likely dispersal paths within a landscape and provide two items of ecological relevance: (i) the spatial location of these least cost paths (LCPs) and (ii) the accumulated cost along them ('cost distance', CD). This spatial analysis requires that cost values be assigned to every type of land cover. The sensitivity of both LCPs and CDs to the cost scenarios has not been comprehensively assessed across realistic landscapes and diverging cost scenarios. We therefore assessed it in diverse landscapes sampled over metropolitan France and with widely diverging cost scenarios. The spatial overlap of the LCPs was more sensitive to the cost scenario than the CD values were. Besides, highly correlated CD matrices could derive from very diff?erent cost scenarios. Although the range of the cost values and the properties of each cost scenario signi?ficantly in influenced the outputs of LCP modeling, landscape composition and con?guration variables also explained their variations. Accordingly we provide guidelines for the use of LCP modeling in ecological studies and conservation planning.<br>

本数据集包含自述文件（README）。
相关论文摘要如下：旨在保障生态连通性的生物多样性保护举措，需依托对物种移动规律的可靠建模。最小成本路径（Least Cost Path, LCP）模型可用于识别景观内最具可能性的物种扩散路径，并提供两项具备生态学意义的结果：（i）此类最小成本路径的空间位置，以及（ii）沿路径累积的成本（即成本距离（Cost Distance, CD））。开展此类空间分析需为每一类土地覆被赋值成本参数。目前，学界尚未针对真实景观与差异化成本情景，全面评估最小成本路径与成本距离对成本情景的敏感性。为此，我们在法国本土范围内采样的各类景观中，采用多组差异显著的成本情景开展了敏感性评估。研究发现，最小成本路径的空间重叠度对成本情景的敏感性高于成本距离数值。此外，高度相关的成本距离矩阵可能源自差异极大的成本情景。尽管成本值的取值范围与各成本情景的属性会显著影响最小成本路径建模的输出结果，但景观组成与景观配置变量同样可解释模型输出的变异。据此，我们为生态学研究与保护规划中的最小成本路径建模应用提供了操作指南。