[1]ZHAO Dan,ZHAO Huafu,RAO Jie,et al.Analysis of the Spatial Distribution Pattern of Cultivated Land Quality and the Influential Factors Based on Trend-Surface[J].Research of Soil and Water Conservation,2015,22(06):219-223.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
22
Number of periods:
2015 06
Page number:
219-223
Column:
Public date:
2015-12-28
- Title:
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Analysis of the Spatial Distribution Pattern of Cultivated Land Quality and the Influential Factors Based on Trend-Surface
- Author(s):
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ZHAO Dan1,2, ZHAO Huafu1,2, RAO Jie1, GAO Xing1
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1. College of Land Science and Technology, China University of Geosciences, Beijing 100083, China;
2. Key Laboratory of Land Regulation, Ministry of Land and Resources, Beijing 100035, China
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- Keywords:
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cultivated land quality; spatial differentiation; trend-surface analysis
- CLC:
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F301.21
- DOI:
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- Abstract:
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Monitoring the quality of cultivated land is to fully understand the current quality status of China’s cultivated land, but what’s more is to explore the internal mechanism of its regularity of distribution as ways to help forecast and evaluate development tendencies of regional cultivated land quality. When we analyze and study influential factors of cultivated land quality disparities and reveal spatial characteristics of cultivated land quality differentiation, we are able to tailor differential management measures on improving cultivated land quality and meet the demands for enhancing the overall supporting comprehensive production capacity of regional cultivated land. Taking Daxing District in the Beijing area as an example, with tendency analysis and related analysis approaches, we study the spatial distribution pattern of cultivated land quality and their influential factors in combination with farmland classification outcomes. It concludes that the quality of the cultivated land in Daxing District decreases from the northeast to the southwest in the diagonal strip pattern, and further the cultivated land in Daxing District can be divided into Grade I-Ⅲ quality potential areas, Grade-I area is the worst quality and the largest value improving space. We also correspondingly analyze the key factors resulting in quality differentiation within each area, that is Grade-I area is mainly due to soil organic matter, Grade-Ⅱ area is mainly due to soil texture, Grade-Ⅲ area is mainly due to soil texture. Meanwhile, we accordingly propose to conduct partition management and control over cultivated land quality.