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应用生态学报 ›› 2010, Vol. 21 ›› Issue (12): 3120-3126.

• 研究报告 • 上一篇    下一篇

浙江省新近耕地动态及其驱动因素

张海东1,3,4,于东升1,2,3**,史学正1,3,刘应安4,王世航1,3,张广星1,3,刘 杨1,3   

  1. 1中国科学院南京土壤研究所土壤与农业可持续发展国家重点实验室,南京 210008;2 南京师范大学地理科学学院,南京 210046;3中国科学院研究生院,北京 100049;4南京林业大学,南京 210037
  • 出版日期:2010-12-18 发布日期:2010-12-18

Dynamics of recent cultivated land in Zhejiang Province and relevant driving factors.

ZHANG Hai-dong1,3,4, YU Dong-sheng1,2,3, SHI Xue-zheng1,3, LIU Ying-an4, WANG Shi-hang1,3, ZHANG Guang-xing1,3, LIU Yang1,3   

  1. 1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China|2College of Geography Sciences, Nanjing Normal University, Nanjing 210046, China|3Graduate University of Chinese Academy of Sciences, Beijing 100049, China|4Nanjing Forestry University, Nanjing 210037, China
  • Online:2010-12-18 Published:2010-12-18

摘要: 利用RS和GIS技术对2000、2005和2008年遥感影像数据进行人机交互解译,建立了2000—2008年浙江省耕地动态数据库,并运用岭回归分析法研究了耕地变化的驱动力及其特征.结果表明:2000—2008年间,浙江省耕地变化较剧烈,2000—2005、2005—2008年,研究区耕地年动态度分别为-1.42%和-1.46%,耕地主要流向城乡工矿居民用地.非农人口比例、房地产开发投资、城市绿化面积和果园面积构成了浙江省乃至我国东部发达地区耕地变化的主要驱动因素.

关键词: 耕地变化, 驱动因素, 岭回归分析, 浙江省, 棉花, NaCl胁迫, 油菜素内酯, 叶片生理特征, 差异表达基因

Abstract: Through the human-computer interactive interpretation of the 2000, 2005, and 2008 remote sensing images of Zhejiang Province with the help of RS and GIS techniques, the dynamic database of cultivated land change in the province in 2000-2008 was established, and the driving factors of the cultivated land change were analyzed by ridge regression analysis. There was a notable cultivated land change in the province in 2000-2008. In 2000-2005 and 2005-2008, the annual cultivated land change in the province arrived -1.42% and -1.46%, respectively, and most of the cultivated land was changed into residential and industrial land. Non-agricultural population rate, real estate investment, urban green area, and orchard area were thought to be the main driving factors of the cultivated land change in Zhejiang Province, and even, in the developed areas of east China.

Key words: cultivated land change, driving factor, ridge regression analysis, Zhejiang Province, cotton, NaCl stress, brassinolide, leaf physiological characteristics, differentially expressed genes.