Exploration on Temporal-spatial Difference of Cultivated Land Pressure and Influence Factor Analysis: A Case Study of Guangxi

Changgen ZHAN; Chunmei CAI; Rujun YANG

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Exploration on Temporal-spatial Difference of Cultivated Land Pressure and Influence Factor Analysis: A Case Study of Guangxi

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摘要

Based on related statistical data during 1980-2014,change rule of Guangxi cultivated land pressure level was studied. Taking each municipal administrative division as evaluation unit,temporal-spatial change trend of cultivated land pressure level was explored by establishing pressure index model of cultivated land,and principal component analysis was used to explore the driving force of cultivated land pressure. Results showed that from 1980 to 2014 in Guangxi,cultivated land pressure was at level one in 12 years,level two in 19 years and level three in 4 years; mean of cultivated land pressure in each city during 2005-2014 was taken as average level of cultivated land pressure in the city,in which cultivated land pressure values of Chongzuo City,Baise City,Laibin City,Liuzhou City,Fangchenggang City,Nanning City,Hechi City and Guigang City were all lower than average level in Guangxi at the same period. Driving factors of cultivated land pressure index mainly contained urbanization rate,Engel coefficient of rural households(ECRH),per capita cultivated land area,total population and rural per capita net income(RPFI).

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来源
《亚洲农业研究：英文版》 |2017年第006期|P.61-66|共6页
作者
Changgen ZHAN; Chunmei CAI; Rujun YANG;
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作者单位

School of Resource and Environmental Sciences,Wuhan University;

Land and Resources Information Center of Guangxi Zhuang Autonomous Region;

School of Resource and Environmental Sciences,Wuhan University;

Land and Resources Information Center of Guangxi Zhuang Autonomous Region;

School of Resource and Environmental Sciences,Wuhan University;

Land and Resources Information Center of Guangxi Zhuang Autonomous Region;

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原文格式 PDF
正文语种 CHI
中图分类 F323.211;
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Exploration on Temporal-spatial Difference of Cultivated Land Pressure and Influence Factor Analysis: A Case Study of Guangxi

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