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Combining remote sensing and household level data for regional scale analysis of land cover change in the Brazilian Amazon

机译:结合遥感和家庭数据对巴西亚马逊地区土地覆盖变化进行区域规模分析

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摘要

Land cover change in the Brazilian Amazon depends on the spatial variability of political, socioeco-nomic and biophysical factors, as well as on the land use history and its actors. A regional scale analysis was made in Rondonia State to identify possible differences in land cover change connected to spatial policies of land occupation, size and year of establishment of properties, accessibility measures and soil fertility. The analysis was made based on remote sensing data and household level data gathered with a questionnaire. Both types of analyses indicate that the highest level of total deforestation is found inside agrarian projects, especially in those established more than 20 years ago. Even though deforestation rates are similar inside and outside official settlements, inside agrarian projects forest depletion can exceed 50% at the property level within 10-14 years after establishment. The data indicate that both small-scale and medium to large-scale farmers contribute to deforestation processes in Rondonia State encouraged by spatial policies of land occupation, which provide better accessibility to forest fringes where soil fertility and forest resources are important determinants of location choice.
机译:巴西亚马逊河地区的土地覆被变化取决于政治,社会经济和生物物理因素的空间变异性,以及土地使用历史及其参与者。在朗多尼亚州进行了区域规模分析,以查明与土地占用的空间政策,财产设立的大小和年份,可及性措施和土壤肥力有关的土地覆盖变化的可能差异。该分析是基于通过问卷收集的遥感数据和家庭水平数据进行的。两种分析都表明,在农业项目中,尤其是在20多年前建立的项目中,森林砍伐的最高水平。尽管官方定居点内外的森林砍伐率相似,但在农业项目内部,森林砍伐在建立后的10-14年内可能会超过财产级别的50%。数据表明,在土地占用的空间政策的鼓励下,小规模和中型到大型农民都为朗多尼亚州的森林砍伐进程做出了贡献,这为森林边缘提供了更好的可达性,而土壤肥力和森林资源是位置选择的重要决定因素。

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