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Modeling the Drivers of Agricultural Land Conversion Response to China's Rapidly Rural Urbanization: Integrating Remote Sensing with Socio-Economic Data

机译:为中国快速农村城镇化过程中的农地流转响应模型建模:将遥感与社会经济数据相结合

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Agricultural land has changed remarkably response to the rapidly rural urbanization in China since the further market-oriented reform of early 1990s. Using accurate remote sensing images and socioeconomic data, this paper identified the temporal pattern of agricultural land conversion and estimated their driving forces during 1992-2010 in Yueqing City. Agricultural land change can be summarized to three trends: Firstly, the conversion between non-agricultural land and agricultural land was very remarkable, the non-agricultural land increased obviously from 1992 to 2010, in verse farmland decreased continuously; Secondly, the loss agricultural land mostly were the higher quality cropland. The expansion of settlements and industrial park was almost completely at the expense of fertilize farmland in flat area, but hillside and tideland were reclaimed for planting grain to keep the dynamic balance of total agricultural land amount. Thirdly, the changes of agricultural land distributed regularly and according to the distance to the No. 104 national highway. In addition, the stepwise regression analysis indicated that both the booming of rural private enterprises and increasing of population was main driving force of agricultural land conversions. According to the results, we discussed the negative impact of fertile farmland shrink and gave some feasible advices in the end.
机译:自1990年代初进一步以市场为导向的改革以来,农业用地已发生了显着变化,以应对中国迅速的农村城市化进程。本文利用准确的遥感影像和社会经济数据,确定了乐清市1992-2010年农用地流转的时间格局,并估算了其驱动力。农业用地变化可归纳为三个趋势:第一,非农用地与农用地之间的转换非常明显,非农用地在1992年至2010年间明显增加,而耕地却在持续减少。其次,流失的农地大多是优质耕地。定居点和工业园区的扩张几乎完全以平地上的耕地为代价,但开垦了山坡和海涂土地来种植谷物,以保持农业用地总量的动态平衡。第三,根据距离104国道的距离,农业用地的变化有规律地分布。另外,逐步回归分析表明,农村民营企业的蓬勃发展和人口的增长都是农地转制的主要动力。根据结果​​,我们讨论了肥沃的耕地萎缩的负面影响,并提出了一些可行的建议。

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