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Is forest fragmentation driven by the spatial configuration of land quality? The case of western Oregon.

机译:森林碎片化是由土地质量的空间结构驱动吗?俄勒冈州西部的情况。

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We investigated spatial configuration of economic returns, to enhance models of forest fragmentation for western Oregon and western Washington, USA. Drawing from spatial land rent theory, economic drivers of forest fragmentation at the landscape level include land quality comprised of attributes such as soil fertility or the distance of urban plots to amenities. We included the spatial configuration of land quality as independent variables in regressions for western Oregon. Results indicate that land quality fragmentation is a significant determinant of forest fragmentation. This holds both for a model using a forest fragmentation index composed of three fragmentation metrics, and separate models for each component or metric: percent non-forest, percent edge, and interspersion. Including land quality fragmentation as an explanatory variable increases the fit of the regressions by more when the dependent variable represents spatial pattern (e.g., percent edge) rather than aggregate land use (e.g., percent non-forest). Variables capturing the spatial configuration of soil quality improve the fit of all specifications and have some effect in terms of bias of other parameter estimates. Improved understanding of key determinants will aid in designing land conservation policies that provide a mechanism for aligning private incentives with broader public goals..
机译:我们调查了经济收益的空间配置,以增强俄勒冈州西部和美国华盛顿西部的森林破碎化模型。从空间地租理论出发,景观层面森林破碎化的经济驱动力包括土地质量,这些属性包括土壤肥力或城市地块与设施的距离等属性。在俄勒冈州西部回归中,我们将土地质量的空间配置作为自变量。结果表明,土地质量破碎化是森林破碎化的重要决定因素。对于使用由三个碎片度量组成的森林碎片索引的模型,以及对于每个组件或度量的单独模型(非森林百分比,边缘百分比和散布),这都适用。当因变量代表空间模式(例如边缘百分比)而不是土地总使用量(例如非森林百分比)时,将土地质量破碎化作为解释变量可以增加回归的拟合度。捕获土壤质量空间配置的变量可改善所有规格的拟合度,并在其他参数估计值的偏差方面具有一定作用。更好地理解关键决定因素将有助于制定土地保护政策,从而为使私人激励措施与更广泛的公共目标保持一致提供一种机制。

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