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引用本文:王培东,赵 丽,杨 皓,赵文晖,朱永明.基于PSR模型的沧州市农用地集约利用评价研究[J].中国农业资源与区划,2013,34(4):57~63
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基于PSR模型的沧州市农用地集约利用评价研究
王培东, 赵 丽, 杨 皓, 赵文晖, 朱永明
河北农业大学国土资源学院,保定 071001
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。
关键词:  集约利用 农用地 PSR模型 沧州市
DOI:10.7621/cjarrp.1005-9121.20130411
分类号:
基金项目:
ASSESSMENT OF AGRICULTURAL LAND INTENSIVE UTILIZATION OF CANGZHOU CITY BASED ON THE PSR MODEL
Wang Peidong, Zhao Li, Yang Hao, Zhao Wenhui, Zhu Yongming
College of Land and Resources,Agricultural University of Hebei,Baoding 071000
Abstract:
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.
Key words:  intensively utilization  agricultural land  PSR model  Cangzhou City
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