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陕西省耕地资源格局变化及驱动力研究

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根据陕西省1990—2010年的耕地统计资料,研究耕地利用现状及其时空变化规律,应用主成分分析和多元线性回归模型,探索耕地资源与14个驱动因子之间的关系。结果表明,19年间耕地总面积和人均耕地面积都经历了"缓慢减少—急速减少—相对稳定并略有上升"的变化过程。陕西省耕地面积总体呈减少趋势,各地区耕地内部结构变化较大。农业结构调整、农业现代化水平、社会经济因素是耕地面积变化的主要驱动因子。利用灰色动态预测模型GM(1,1)对陕西省未来11年的耕地面积进行预测,结果表明,未来耕地面积还是会继续减少,到2020年耕地面积将减少到2 263.74khm2。
Analysis of the Cultivated Land Pattern Changes and Its Driving Forces in Shaanxi Province
The cultivated land use status and its temporal-spatial pattern were analyzed based on the cultivated land statistical data in Shaanxi Province between 1990 and 2010.In this study,the principal component analysis method and the multiple linear regression models were applied to explore the relationship between the cultivated land resource and 14 driving factors.The result shows that: the total cultivated area and its average level have experienced "slow reduce-rapidly shrinking-relative stability and increased slightly" change process.The cultivated area in Shaanxi Province was basically decreasing for years,its internal structure changed greatly.The main driving factors of the cultivated area changing are agricultural structure adjustment,agricultural modernization level,social and economic factors.Using the grey dynamic prediction model GM(1,1) to forecast the cultivated land area in the following 11 years,the result shows that the cultivated area will decline continuously in the future,the cultivated area might be 2 263.74 khm2 by 2020.

cultivated landprincipal component analysisdriving factorsGM(11)Shaanxi Province

王契、冯浩

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西北农林科技大学水利与建筑工程学院,陕西杨凌712100

西北农林科技大学水利与建筑工程学院,陕西杨凌712100/西北农林科技大学水土保持研究所,陕西杨凌712100

耕地资源 主成分分析 驱动因子 GM(1,1) 陕西省

国家高技术研究发展计划(863计划)西北农林科技大学重大项目培育专项

2011AA100503

2011

灌溉排水学报
水利部农田灌溉研究所,中国农科院农田灌溉研究所 中国水利学会,国家灌溉排水委员会

灌溉排水学报

CSTPCDCSCD北大核心
影响因子:0.502
ISSN:1672-3317
年,卷(期):2011.30(5)
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