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作 者:王培东[1] 赵丽[1] 杨皓[1] 赵文晖[1] 朱永明[1]
机构地区:[1]河北农业大学国土资源学院
出 处:《中国农业资源与区划》2013年第4期57-63,共7页Chinese Journal of Agricultural Resources and Regional Planning
摘 要:该文以沧州市为研究对象,构建基于PSR模型的农用地集约利用评价指标体系,并对沧州市及所辖县(市)农用地的集约利用水平进行评价。研究结果表明:2000—2010年,沧州市农用地集约利用水平呈波动上升趋势,年平均增长率为7.31%;所辖14个县(市)之间农用地集约利用水平及平均增长率均存在显著差异,吴桥县农用地集约利用水平在沧州市始终最高,海兴县最低,集约度平均增长率黄骅市最高,为11.63%;任丘市最低,为4.41%;从空间分布来看,沧州市西南部集约利用水平最高,中部地区次之,西部再次,东部最低;PSR模型子系统中响应系统贡献大,PSR模型系统协调度呈下降趋势,说明农用地集约度的提升是由单一子系统的突出带动获得的,系统协调度需进一步优化。Taking the Cangzhou City as an example, an evaluation index system on the intensive use of agricultural land based on PSR model was established and used in the farmland of Cangzhou city. The results showed that : ( 1 ) from 2000 to 2010, the intensive use level of agricultural land in Cangzhou City showed an increase tendency with an average growth rate of 7.31%. (2) The intensive use level and its average growth rate of agricultural land in 14 counties/cities of Cangzhou varied remarkably. For the intensive use level, Wuqiao County was always the highest, while Haixing County was the lowest. The average growth rate of Huanghua City was the highest in the 14 counties/ cities with 11.63%, while the lowest, Renqiu, was 4.41%. (3) From the spatial distribution, the intensive use level from high to low in Cangzhou City were the southwest, the central region., the west, and the east region, re- spectively. (4) The PSR model showed that the agricultural land intensive use level was deeply influenced by the response system and the coordination degree of PSR system showed a descending trend, which indicated that the ad- vance of agricultural land intensive degree was driven by a single subsystem, and the coordination degree of PSR system needed to be further optimized.
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