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Drivers of land abandonment in Southern Chile and implications for landscape planning.

机译:智利南部土地被遗弃的驱动因素及其对景观规划的影响。

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In recent decades, land abandonment has become one of the most important trends in land use and cover change. This study identifies drivers of land abandonment in Southern Chile through a spatially explicit statistical model, based on an economic theoretical framework. A logistic regression was used to model the probability of land abandonment, observed as the land cover change from agricultural land to arboreous shrubland or native forest between 1985 and 2007. We relied on census information and land cover data from 2472 farms, which represented 86.6% of the farm population in the study area. Land cover data came from two Landsat scenes taken in 1985 (TM) and 2007 (ETM+). The results from the spatial analysis show that agricultural land covered 30 061 ha in 1985. By 2007, only 16 518 ha had persisted in agriculture, while the rest had been covered by natural vegetation. Soil quality was a significant benefit-related geophysical driver of land abandonment. Important cost related socioeconomic drivers were the distances to secondary roads, aquaculture production centers, and national parks, and the existence of farm subsidies. Significant farm structural variables were the amount of bovine heads and farm's livestock carrying capacity. Variables such as age, education, and place of residence of the farmer were not statistically significant. These results may serve as an important planning tool for land managers, by helping identify areas and farming systems with high probability of land abandonment, and furthermore explore the outcomes of some potential scenarios on the future probability of the process.
机译:在最近的几十年中,土地遗弃已成为土地利用和覆被变化的最重要趋势之一。这项研究基于经济理论框架,通过空间明确的统计模型确定了智利南部土地被遗弃的驱动因素。使用logistic回归模型对土地放弃的概率进行建模,观察到1985年至2007年间从农业用地到乔木灌木丛或原生林的土地覆盖变化。我们依靠人口普查信息和来自2472个农场的土地覆盖数据,占86.6%研究区域中农场人口的百分比。土地覆盖数据来自1985年(TM)和2007年(ETM +)拍摄的两个Landsat场景。空间分析的结果表明,1985年的农业用地面积为30 061公顷。到2007年,农业耕地面积仅为16 518公顷,其余部分被自然植被覆盖。土壤质量是土地遗弃与利益相关的重要地球物理驱动力。与成本相关的重要社会经济驱动因素是与次要道路的距离,水产养殖生产中心和国家公园的距离以及农场补贴的存在。农场的重要结构变量是牛头的数量和农场的牲畜承载能力。农民的年龄,教育程度和居住地等变量在统计学上不显着。这些结果可以帮助确定土地被遗弃的可能性高的地区和耕作系统,并可以探索该过程的未来可能性,从而为土地管理者提供重要的规划工具。

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