湄潭县土地利用结构变化及其驱动因素研究
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摘要
随着人口增加、城建扩张、国家宏观调控等因素的影响,近年来湄潭县土地利用结构出现了较大变化。为更好地研究其变化规律,促使土地资源与经济发展的协调发展,基于湄潭县2005、2010和2015年3期土地利用变更数据以及相关社会经济数据,通过信息熵方法对湄潭县土地利用结构时空格局进行评价分析;并运用灰度关联法对湄潭县土地利用结构动态演变的特征与社会经济技术的驱动力因素做关联分析。结果表明各社会经济技术中对土地利用结构信息熵的影响力最大的3个因素是农村从业人数、粮食总产量、第三产业比重;对优势度影响力最大的3个因素是第一产业比重、社会固定资产投资总额、农村从业人数。
Land resources are the material carrier for the survival and development of human beings. With the influence of factors such as the increase of population, the expansion of urban construction and the national macro-control, the land use structure of Meitan County has undergone great changes in recent years. In order to study the dynamic change of land use structure in Meitan county, this paper used information entropy method to analyze the dynamic evolution of land use structure based the change data and related socioeconomic data in 2005,2010 and 2015. Also, it used gray correlation method to analyze the driving forces which affected the dynamic evolution of land use structure in Meitan County. The results showed that the three factors that had the greatest influence on the information entropy of land use structural transformation were rural employees, grain output and tertiary industry proportion. The three factors that had the greatest influence on dominance were primary industry proportion, fixed asset investment and rural employees.
Land resources are the material carrier for the survival and development of human beings. With the influence of factors such as the increase of population, the expansion of urban construction and the national macro-control, the land use structure of Meitan County has undergone great changes in recent years. In order to study the dynamic change of land use structure in Meitan county, this paper used information entropy method to analyze the dynamic evolution of land use structure based the change data and related socioeconomic data in 2005,2010 and 2015. Also, it used gray correlation method to analyze the driving forces which affected the dynamic evolution of land use structure in Meitan County. The results showed that the three factors that had the greatest influence on the information entropy of land use structural transformation were rural employees, grain output and tertiary industry proportion. The three factors that had the greatest influence on dominance were primary industry proportion, fixed asset investment and rural employees.
引文
[1]陈圆圆.长沙经济技术开发区土地利用结构的演变特征及其驱动机制研究[D].长沙:湖南师范大学,2014.
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[8]董杰,杨春德,周秀慧,等.山东省土地利用结构动态变化及宏观驱动力研究[J].安徽农业科学,2006,34(20):5335-5339.
[9]蔡运龙.土地利用/土地覆被变化研究:寻求新的综合途径[J].地理研究,2001,20(6):645-652.
[10]杨洁,徐国鑫,姚俊等.渭河流域土地利用变化及驱动力分析[J].人民珠江,2017(7):22-26.
[11]李鑫,欧名豪,刘建生,等.基于不确定性理论的区域土地利用结构优化[J].农业工程学报,2014,30(4):176-184.
[12]谭永忠,吴次芳.区域土地利用结构的信息熵分异规律研究[J].自然资源学报,2003(1):112-117.
[13]王秀兰,包玉海.土地利用动态变化研究方法探讨[J].北京:地理科学进展,1999,18(1):82-85.
[13]廖涟漪,廖和平,杨伟.信息熵在土地利用结构动态变化研究中的应用——以重庆市北碚区为例[J].湖南农业科学,2017(11):43-47.
[14]樊杰,许豫东,邵阳.土地利用变化研究的人文地理视角与新命题[J].地理科学进展,2003,22(1):1-10.
[2]FORM W. H. The Place of Social in the Determination of Land Use[J]. Social Forces,1954,32:317-323
[3]TURNER B L,MAYER W B. Global Land-Use and Land-Cover Change:An Overview[R]. 1994:1-10.
[4] TURNER B L,MOSS R H,SKOLE D L. Relating land use and global land cover change:A propose for an IGBP-IHDP core project[J]. Global Change Deport,1993:24.
[5]KASPER K,ANDREW F,VELDKAMP A,et al. A method and application of multi-scale validation in spatial land use models[J].Agriculture,Ecosystems and Environment,2001(85):223-238.
[6]葛全胜,赵名茶,郑景云. 20世纪中国土地利用变化研究[J].地理学报,2000(6):698-706.
[7]曲福田.经济发展和土地可持续利用[M].北京:人民出版社,2001.
[8]董杰,杨春德,周秀慧,等.山东省土地利用结构动态变化及宏观驱动力研究[J].安徽农业科学,2006,34(20):5335-5339.
[9]蔡运龙.土地利用/土地覆被变化研究:寻求新的综合途径[J].地理研究,2001,20(6):645-652.
[10]杨洁,徐国鑫,姚俊等.渭河流域土地利用变化及驱动力分析[J].人民珠江,2017(7):22-26.
[11]李鑫,欧名豪,刘建生,等.基于不确定性理论的区域土地利用结构优化[J].农业工程学报,2014,30(4):176-184.
[12]谭永忠,吴次芳.区域土地利用结构的信息熵分异规律研究[J].自然资源学报,2003(1):112-117.
[13]王秀兰,包玉海.土地利用动态变化研究方法探讨[J].北京:地理科学进展,1999,18(1):82-85.
[13]廖涟漪,廖和平,杨伟.信息熵在土地利用结构动态变化研究中的应用——以重庆市北碚区为例[J].湖南农业科学,2017(11):43-47.
[14]樊杰,许豫东,邵阳.土地利用变化研究的人文地理视角与新命题[J].地理科学进展,2003,22(1):1-10.