基于PSR模型的四川省耕地集约利用评价及分区研究
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摘要
以耕地资源集约利用中的人地关系为依据,构建基于PSR模型的耕地集约利用评价指标体系。结合四川省实际情况,共选取15个评价指标,采用改进的熵值法确定各指标权重,运用综合指数方法分析四川省21个市(州)的耕地集约利用度,并将其划分为高度集约区、中度集约区、一般集约区和不集约区。结果表明:在不同区域间,耕地集约利用水平具有明显差异;平原地区如成都等地的耕地集约利用水平较高,甘孜、阿坝等地较为典型,耕地集约利用水平较低;引起区域差异的主要原因是各市(州)自然条件和社会经济发展程度不同;采用PSR模型、熵值法和综合指数方法评价耕地集约利用水平是合理的,研究结果为四川省耕地集约利用提供进一步指导。
Based on the man-land relationship of cultivated land intensive utilization,the index system of cultivated land intensive utilization based on PSR model was established. Combined with the actual situation in Sichuan Province,A total of 15 indexes were selected. To calculate the weight of each index,the improved entropy weight method will be used. Then the cultivated land intensive utilization of 21 cities in Sichuan Province was calculated with comprehensive index method. And it was divided into highly intensive area,moderate intensive area,generally intensive area and non-intensive area. The results indicated that: there were obvious differences in the level of cultivated land intensive utilization between different areas. The level of cultivated land intensive utilization in plain areas such as Chengdu is higher than that in Ganzi and Aba. The main reason for regional difference is that the natural conditions and socio-economic development are different in each city. It is reasonable to evaluate the level of cultivated land intensive utilization by using the PSR model,the entropy method and comprehensive index method. The results will provide a further guidance for cultivated land intensive utilization in Sichuan Province.
Based on the man-land relationship of cultivated land intensive utilization,the index system of cultivated land intensive utilization based on PSR model was established. Combined with the actual situation in Sichuan Province,A total of 15 indexes were selected. To calculate the weight of each index,the improved entropy weight method will be used. Then the cultivated land intensive utilization of 21 cities in Sichuan Province was calculated with comprehensive index method. And it was divided into highly intensive area,moderate intensive area,generally intensive area and non-intensive area. The results indicated that: there were obvious differences in the level of cultivated land intensive utilization between different areas. The level of cultivated land intensive utilization in plain areas such as Chengdu is higher than that in Ganzi and Aba. The main reason for regional difference is that the natural conditions and socio-economic development are different in each city. It is reasonable to evaluate the level of cultivated land intensive utilization by using the PSR model,the entropy method and comprehensive index method. The results will provide a further guidance for cultivated land intensive utilization in Sichuan Province.
引文
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[21]朱喜安,魏国栋.熵值法中无量纲化方法优良标准的探讨[J].统计与决策,2015(2):12-15.
[22]孙男男,郑华伟,张兰,等.耕地集约利用动态评价及障碍因素诊断研究:以河北省为例[J].农业现代化研究,2012,33(1):90-94.
[23]郑华伟.基于改进熵值法的耕地利用集约度评价[J].新疆农垦经济,2010(4):53-58.
[24]费罗成,吴次芳,程久苗,等.资源城市转型期工业用地集约利用评价:以枣庄市为例[J].城市问题,2013(2):29-36.
[25]杜国明,刘彦随.黑龙江省耕地集约利用评价及分区研究[J].资源科学,2013,35(3):554-560.
[2]王玲,孙洁,吕新.基于主成分分析的耕地集约利用评价[J].湖北农业科学,2009,48(3):607-611.
[3]何国松,黄莉敏,金赉,等.2000—2009年鄂南丘陵山区耕地集约利用变化分析[J].资源开发与市场,2011,27(12):1073-1074,1100.
[4]钟太洋,黄贤金,马其芳,等.省级区域耕地保有量测算研究:以江苏省为例[J].资源开发与市场,2007,23(5):404-407.
[5]温家宝.高度重视加强领导加快建设节约型社会[J].国土资源通讯,2005(14):4-7.
[6]张锐,郑华伟,刘友兆.基于PSR模型的耕地生态安全物元分析评价[J].生态学报,2013,33(16):5090-5100.
[7]王千,金晓斌,周寅康,等.河北省耕地生态经济系统能值指标空间分布差异及其动因[J].生态学报,2011,31(1):247-256.
[8]朱红波,张安录.我国耕地资源生态安全的时空差异分析[J].长江流域资源与环境,2007,16(6):754-758.
[9]钟太洋,黄贤金,陈逸.基本农田保护政策的耕地保护效果评价[J].中国人口·资源与环境,2012,22(1):90-95.
[10]彭尔瑞,王穗,郝莉莎,等.云南耕地与基本农田保护现状分析及对策研究[J].资源与产业,2009,11(4):59-63.
[11]赵宏波,宋戈,孙丽娜.河南省耕地集约利用的驱动力分析[J].农业现代化研究,2010,31(6):729-732.
[12]史丽君,张绍良,王浩宇,等.基于PSR框架的徐州市城市土地集约利用评价研究[J].国土与自然资源研究,2006(1):4-5.
[13]HERZOG F,STEINER B,BAILEY D,et al.Assessing the intensity of temperate European agriculture at the landscape scale[J].European journal of agronomy,2006,24(2):165-181.
[14]胡志朋,杨凤海,周晓飞.肇源县耕地集约利用评价及障碍度诊断[J].水土保持研究,2013,20(1):148-155.
[15]于丹丹,刘淑英,王平,等.甘肃省耕地集约利用空间分析[J].土壤通报,2015,46(6):1299-1306.
[16]张志功,刘淑英,王平,等.民勤县耕地集约利用空间格局分析[J].干旱区资源与环境,2013,27(10):44-50.
[17]王喜,彭宏杰,樊鹏飞,等.耕地集约利用评价及障碍因素分析研究基于突变级数模型[J].资源开发与市场,2016,32(8):902-906.
[18]彭文甫,周介铭.近50年四川省耕地变化分析[J].资源科学,2005,27(3):79-85.
[19]窦妍,南灵.基于PSR框架的耕地集约利用评价及驱动力研究:以关中地区为例[J].农业现代化研究,2011,32(5):615-618.
[20]SMYTH A J,DUMASKY J.FELSM:An international framework for evaluating sustainable land management[M].Rome:FAO,1993.
[21]朱喜安,魏国栋.熵值法中无量纲化方法优良标准的探讨[J].统计与决策,2015(2):12-15.
[22]孙男男,郑华伟,张兰,等.耕地集约利用动态评价及障碍因素诊断研究:以河北省为例[J].农业现代化研究,2012,33(1):90-94.
[23]郑华伟.基于改进熵值法的耕地利用集约度评价[J].新疆农垦经济,2010(4):53-58.
[24]费罗成,吴次芳,程久苗,等.资源城市转型期工业用地集约利用评价:以枣庄市为例[J].城市问题,2013(2):29-36.
[25]杜国明,刘彦随.黑龙江省耕地集约利用评价及分区研究[J].资源科学,2013,35(3):554-560.