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Modeling the Driving Forces of the Land Use and Land Cover Changes Along the Upper Yangtze River of China

机译:中国沿江地区土地利用/土地覆盖变化驱动力模拟

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摘要

Induced by high population density, rapid but uneven economic growth, and historic resource exploitation, China's upper Yangtze basin has witnessed remarkable changes in land use and cover, which have resulted in severe environmental consequences, such as flooding, soil erosion, and habitat loss. This article examines the causes of land use and land cover change (LUCC) along the Jinsha River, one primary section of the upper Yangtze, aiming to better understand the human impact on the dynamic LUCC process and to support necessary policy actions for more sustainable land use and environmental protection. Using a repeated cross-sectional dataset covering 31 counties over four time periods from 1975 to 2000, we develop a fractional logit model to empirically determine the effects of socioeconomic and institutional factors on changes for cropland, forestland, and grassland. It is shown that population expansion, food self-sufficiency, and better market access drove cropland expansion, while industrial development contributed significantly to the increase of forestland and the decrease of other land uses. Similarly, stable tenure had a positive effect on forest protection. Moreover, past land use decisions were less significantly influenced by distorted market signals. We believe that these and other findings carry important policy implications.
机译:在高人口密度,快速但不均衡的经济增长以及历史资源的利用的诱使下,长江上游流域的土地利用和覆盖面积发生了显着变化,这导致了严重的环境后果,例如洪水,水土流失和栖息地丧失。本文研究了长江上游的主要部分金沙江沿岸土地利用和土地覆被变化(LUCC)的成因,旨在更好地了解人类对动态LUCC过程的影响,并支持采取必要的政策行动以实现更可持续的土地使用和环保。我们使用覆盖1975年至2000年四个时间段内31个县的重复横截面数据集,开发了分数logit模型,以经验确定社会经济和制度因素对耕地,林地和草地变化的影响。研究表明,人口的增长,粮食的自给自足以及更好的市场准入带动了耕地的扩张,而工业发展极大地促进了林地的增加和其他土地用途的减少。同样,稳定的保有权对森林保护产生积极影响。而且,过去的土地使用决策受市场信号失真的影响较小。我们认为,这些发现和其他发现都具有重要的政策含义。

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