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Domains of scale in forest-landscape metrics: Implications for species-habitat modeling

机译:森林-景观指标的尺度域:对物种-栖息地建模的启示

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Observational scale defines the field-of-view used to quantify any set of data, and thus has profound implications on the development and interpretation of species-habitat models. However, most multiscale studies choose observational scales using criteria unrelated to how metrics quantify along the scale continuum: scale choice is either arbitrary or via orders of resource selection irrespective of potential among-scale differences in mean or variation. Here, I use GIS to examine these issues for 9 forest-landscape metrics across 15 observational extents (while holding grain constant) and demonstrate how associated averages and variation change markedly and unpredictably across observational scale continua, emphasizing that a priori selection of 2 "different" scales cannot be done intuitively, arbitrarily, or based on orders of resource selection. Evaluation of the scale-domain continuum is a critically absent step in the building and interpretation of all multi-scale ecological models.
机译:观测尺度定义了用于量化任何数据集的视野,因此对物种栖息地模型的发展和解释具有深远的影响。但是,大多数多尺度研究使用与尺度如何沿尺度连续性量化无关的标准来选择观测尺度:尺度选择是任意的或通过资源选择的顺序进行的,而不考虑尺度间均值或变异之间的潜在差异。在这里,我使用GIS在15个观测范围内(保持颗粒不变)检查了9个森林景观指标的这些问题,并展示了相关平均值和变化如何在观测范围连续性上显着且不可预测地变化,强调了先验选择2“规模无法直观,任意或基于资源选择顺序进行。在建立和解释所有多尺度生态模型中,尺度域连续体的评估是至关重要的步骤。

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