[1]HU Zhi-peng,YANG Feng-hai,ZHOU Xiao-fei.Evaluation of Intensive Cultivated Land Use and Diagnosis of Obstacle Degree in Zhaoyuan County, Heilongjiang Province[J].Research of Soil and Water Conservation,2013,20(01):148-151,155.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
20
Number of periods:
2013 01
Page number:
148-151,155
Column:
Public date:
2013-02-28
- Title:
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Evaluation of Intensive Cultivated Land Use and Diagnosis of Obstacle Degree in Zhaoyuan County, Heilongjiang Province
- Author(s):
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HU Zhi-peng, YANG Feng-hai, ZHOU Xiao-fei
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Collage of Resources and Environment, Northeast Agriculture University, Harbin 150030, China
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- Keywords:
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intensive cultivated land use; evaluation; obstacle degree; Zhaoyuan County
- CLC:
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F301.2
- DOI:
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- Abstract:
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Cultivated land resources are the material basis which humen depend on. Due to facing with the conditions that huge population with less land and cultivated land resources are scarce in China, protection and rational use of limited cultivated land resources, improving the level of intensive land use are critical to ensure China’s food security and sustainable development. Zhaoyuan county of Heilongjiang province was selected as the study area and a theoretical model was established to assess intensive land use. The evaluation index system was built with the three indices including the aspects of input intensity, degree of utilization, and use efficiency. And 18 indicators were used in this system. Entropy method and the comprehensive index model were used to evaluated the level of intensive land use from 2006 to 2011, and obstacle degree model was built to diagnose its obstacle indicators affecting intensive land use. Results showed that the level of intensive land use in Zhaoyuan was generally upward, with the intensive land use index increasing from 0.202 3 to 0.867 0 from 2006 to 2011. The obstacle degree of input intensity respectively increased by an annual average of 36.23%, but the obstacle degree of utilization efficiency and utilization extent decreased by an annual average of 54.63% and 23.46%, respectively. The input intensity was found to be the biggest factor affecting intensive land use.