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Land Use and Soil Organic Carbon in China’s Village Landscapes
作者姓名:JIAO Jia-Guo  YANG Lin-Zhang  WU Jun-Xi  WANG Hong-Qing  LI Hui-Xin  E. C. ELLIS
作者单位:[1]Department of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing210095 (China) [2]Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China) [3]Department of Agronomy and Agroecology, China Agricultural University, Beijing 100094 (China) [4]Department of Geography & Environmental Systems, University of Maryland, Baltimore County, Baltimore 21250 (USA) [5]Center for Louisiana Inland Water Studies, University of Louisiana at Lafayette, Lafayette, Louisiana (USA)
基金项目:Project supported by the US National Science Foundation (No. DEB-0075617)
摘    要:Village landscapes, which integrate small-scale agriculture with housing, forestry, and a host of other land use practices, cover more than 2 million square kilometers across China. Village lands tend to be managed at very fine spatial scales (≤ 30 m), with managers both adapting their practices to existing variation in soils and terrain (e.g., fertile plains vs. infertile slopes) and also altering soil fertility and even terrain by terracing, irrigation, fertilizing, and other land use practices. Relationships between fine-scale land management patterns and soil organic carbon (SOC) in the top 30 cm of village soils were studied by sampling soils within fine-scale landscape features using a regionally weighted landscape sampling design across five environmentally distinct sites in China. SOC stocks across China’s village regions (5 Pg C in the top 30 cm of 2 × 10 6 km 2 ) represent roughly 4% of the total SOC stocks in global croplands. Although macroclimate varied from temperate to tropical in this study, SOC density did not vary significantly with climate, though it was negatively correlated with regional mean elevation. The highest SOC densities within landscapes were found in agricultural lands, especially paddy, the lowest SOC densities were found in nonproductive lands, and forest lands tended toward moderate SOC densities. Due to the high SOC densities of agricultural lands and their predominance in village landscapes, most village SOC was found in agricultural land, except in the tropical hilly region, where forestry accounted for about 45% of the SOC stocks. A surprisingly large portion of village SOC was associated with built structures and with the disturbed lands surrounding these structures, ranging from 18% in the North China Plain to about 9% in the tropical hilly region. These results confirmed that local land use practices, combined with local and regional variation in terrain, were associated with most of the SOC variation within and across China’s village landscapes and may be an important cause of regional variation in SOC.

关 键 词:土地利用方式  土壤有机碳  乡村景观  中国北方  密度范围  地形变化  SOC  管理人员
收稿时间:20 August 2009

Land use and soil organic carbon in China's village landscapes
JIAO Jia-Guo,YANG Lin-Zhang,WU Jun-Xi,WANG Hong-Qing,LI Hui-Xin,E. C. ELLIS.Land use and soil organic carbon in China''s village landscapes[J].Pedosphere,2010,20(1):1-14.
Authors:JIAO Jia-Guo  YANG Lin-Zhang  WU Jun-Xi  WANG Hong-Qing  LI Hui-Xin and E C ELLIS
Institution:Department of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095 (China) ;Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China);Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China);Department of Agronomy and Agroecology, China Agricultural University, Beijing 100094 (China);Department of Geography & Environmental Systems, University of Maryland, Baltimore County, Baltimore 21250 (USA);Center for Louisiana Inland Water Studies, University of Louisiana at Lafayette, Lafayette, Louisiana, (USA);Department of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095 (China);Department of Geography & Environmental Systems, University of Maryland, Baltimore County, Baltimore 21250 (USA)
Abstract:Village landscapes, which integrate small-scale agriculture with housing, forestry, and a host of other land use practices, cover more than 2 million square kilometers across China. Village lands tend to be managed at very fine spatial scales (≤ 30 m), with managers both adapting their practices to existing variation in soils and terrain (e.g., fertile plains vs. infertile slopes) and also altering soil fertility and even terrain by terracing, irrigation, fertilizing, and other land use practices. Relationships between fine-scale land management patterns and soil organic carbon (SOC) in the top 30 cm of village soils were studied by sampling soils within fine-scale landscape features using a regionally weighted landscape sampling design across five environmentally distinct sites in China. SOC stocks across China's village regions (5 Pg C in the top 30 cm of 2 × 106 km2) represent roughly 4% of the total SOC stocks in global croplands. Although macroclimate varied from temperate to tropical in this study, SOC density did not vary significantly with climate, though it was negatively correlated with regional mean elevation. The highest SOC densities within landscapes were found in agricultural lands, especially paddy, the lowest SOC densities were found in nonproductive lands, and forest lands tended toward moderate SOC densities. Due to the high SOC densities of agricultural lands and their predominance in village landscapes, most village SOC was found in agricultural land, except in the tropical hilly region, where forestry accounted for about 45% of the SOC stocks. A surprisingly large portion of village SOC was associated with built structures and with the disturbed lands surrounding these structures, ranging from > 18% in the North China Plain to about 9% in the tropical hilly region. These results confirmed that local land use practices, combined with local and regional variation in terrain, were associated with most of the SOC variation within and across China's village landscapes and may be an important cause of regional variation in SOC.
Keywords:agriculture  land cover change  land use change  soil carbon sequestration  spatial heterogeneity
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