PDF Download

[1]NI Chao,YANG Sheng-tian,LUO Qiu-bin,et al.Study on Driving Forces of Intensive Cultivated Land Use in Heilongjiang Province[J].Research of Soil and Water Conservation,2014,21(03):146-151.

Copy

Study on Driving Forces of Intensive Cultivated Land Use in Heilongjiang Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 21 Number of periods: 2014 03 Page number: 146-151 Column: Public date: 2014-06-28

Title:: Study on Driving Forces of Intensive Cultivated Land Use in Heilongjiang Province

Author(s):: NI Chao^1,2, YANG Sheng-tian², LUO Qiu-bin³, GUO Hong¹, DONG Jun¹, GAO Peng¹; 1. Department of Geography, Harbin University, Harbin 150086, China;
2. State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China;
3. Department of Computer, College of Engineering, Harbin University, Harbin 150086, China

Keywords:: intensive cultivated land use; driving forces; path analysis; Heilongjiang Province

CLC:: F321.1

DOI:: -

Abstract:: In order to discuss the main driving forces of intensive cultivated land use and the correlation between each factor, 30 indexes from five aspects including nature, population, policy, technology and socio-economic condition were collected, and driving factors and change mechanism of intensive cultivated land use in Heilongjiang Province were analyzed by using grey correlation and path analysis. The results show that: (1) nature and population are the main driving factors, socio-economic condition and technology are the subordinate factors, and policy has the minimal effect on intensive cultivated land use; (2) the level of urbanization and non-agricultural population are the main factors influencing intensive cultivated land use. Total population and grain yield have less direct effect on intensive cultivated land use, but have the greater indirect effect through other factors.

References:: [1] Turner B L Ⅱ. Local Faces, Global Flows:The Role of Land Use and Land Cover in Global Environmental Change[J]. Land Degradation & Development,1994,5(2):71-78.
[2] Dale V H. The relationship between land-use change and climate change[J]. Ecological Applications,1997,7(3):753-769.
[3] 唐华俊.中国土地利用/土地覆盖变化研究[M].北京:中国农业科学技术出版社,2004.
[4] The Scientific Steering Committee and International Project Office of LUCC. Land-Use and Land-Cover Change (LUCC) Implementation Strategy, IGBP REPORT 48&IHDP REPORT 10[R]. Stockholm:the Global Change Newsletter,1999:37-56.
[5] 庞英.山东沿海地区耕地利用集约度时空特征[J].农业工程学报,2011,27(9):328-333.
[6] 易军,梅昀.基于PSR框架的耕地集约利用及其驱动力研究:以江西省为例[J].长江流域资源与环境,2010,19(8):895-900.
[7] 倪伟龄.黑龙江:开展综合整治守住耕地红线[N].经济日报,2011-07-31(01).
[8] 吴郁玲,顾湘,周勇.农户视角下湖北省耕地集约利用影响因素分析[J].中国土地科学,2012,26(2):50-55.
[9] 李瑞华,白世强.河南省耕地集约利用时空分异及驱动因素研究[J].农业系统科学与综合研究,2009,25(3):263-267.
[10] 朱传民,黄雅丹,吴佳.等.江西省县域耕地集约利用水平时空差异研究[J].水土保持研究,2012,19(2):160-164.
[11] 赵京,杨钢桥.耕地利用集约度变化影响因素典型相关分析[J].中国人口·资源与环境,2010,20(10):103-108.
[12] 刘成武,李秀彬.对中国农地边际化现象的诊断:以三大粮食作物生产的平均状况为例[J].地理研究,2006,25(5):895-904.
[13] 窦妍,南灵.基于PSR框架的耕地集约利用及其驱动力研究:以关中地区为例[J].农业现代化研究,2011,32(5):615-618.
[14] 颜丙金,石培基.甘肃省耕地集约利用及其驱动力研究[J].中国农学通报,2011,27(33):108-113.
[15] 黄利民,张安录,刘成武.耕地利用集约度变化及其驱动机制研究:以湖北省通城县为例[J].生态经济,2009(1):78-81.
[16] 刘思峰,党耀国.灰色系统理论及其应用[M].北京:科学出版社,1999.
[17] 张文彤.世界优秀统计工具SPSS11.0统计分析教程(高级篇)[M].北京:希望电子出版社,2002.
[18] 刘旭华,王劲峰,刘明亮,等.中国耕地变化驱动力分区研究[J].中国科学(D辑):地球科学,2005,35(11):1087-1095.
[19] 袁磊.基于循环经济理念的黑龙江省土地可持续利用研究[D].哈尔滨:东北农业大学,2010.
[20] 陈印军,肖碧林,方琳娜,等.中国耕地质量状况分析[J].中国农业科学,2011,44(17):3557-3564.
[21] 高魏,闵捷,张安录.耕地经济产出影响因素实证分析:以湖北省为例[J].资源科学,2006,28(3):73-78.
[22] 祝小迁,程久苗,费罗成.安徽省耕地集约利用及其驱动力分析[J].中国土地科学,2009,23(2):11-17.

Similar References:

Memo

Last Update: 1900-01-01