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中国沙漠 ›› 2011, Vol. 31 ›› Issue (1): 101-107.

• 生物土壤与生态 • 上一篇    下一篇

三工河流域绿洲土壤有机碳的空间分布

王玉刚1, 肖笃宁2 , 李 彦1*, 郑新军1   

  1. (1.Fukang Research Station of Desert Ecology/Key Laboratory of Oasis Ecology and Desert Environment, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; 2.Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-01-20 发布日期:2011-01-20

Spatial Distribution of Oasis Soil Organic Carbon in the Sangong River Catchment, Xinjiang, China

WANG Yu-gang1, XIAO Du-ning2, LI Yan1, ZHENG Xin-jun1   

  1. WANG Yu-gang1, XIAO Du-ning2, LI Yan1, ZHENG Xin-jun1
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-01-20 Published:2011-01-20

摘要:

为理解大尺度下土壤有机碳的空间分异特征,运用遥感与GIS技术,结合地统计学方法研究了三工河流域农业绿洲0~20 cm土层土壤有机碳的空间格局特征。结果表明:①流域尺度的土壤有机碳含量的理论变异函数符合球形模型,F检验达到极显著水平,在2~20 km的中尺度上具有中等强度的空间变异性和自相关性;②流域空间尺度上,土壤有机碳主要变化在4.5~6 g\5kg-1和10.5~12 g\5kg-1范围中,阜康绿洲区土壤有机碳含量明显要高于阜北绿洲区。土壤有机碳平均含量耕地最高,其次为草地,最低的为裸地。流域空间土壤有机碳储量为17.07×105 t,单位面积土壤有机碳储量:阜康绿洲>全流域>阜北绿洲。

关键词: 土壤有机碳, 空间异质性, 地统计, 绿洲, 表土

Abstract:

The objective of this study is to provide a scientific basis of understanding spatial distribution of soil organic carbon (SOC) on a large spatial scale. Remote sensing data, geographic information system analysis and geo-statistics were applied to assess spatial distribution of SOC in topsoil (0~20 cm) of agricultural oasis in Sangong River catchment, Xinjiang, China. Spatial variation of SOC on catchment scale can be best fitted by a spherical model and spatial variation and self-correlation of SOC on a scale of 2~20 km reach a extremely significant level (R2=0.952). SOC content mainly ranges in 4.5~6 g\5kg-1 and 10.5~12 g\5kg-1 in Sangong River catchment, and SOC content in Fukang oasis is higher than in Fubei oasis. SOC content in cropland is the highest, that in grassland is the second, and that in bald land is the lowest. Total SOC storage is about 17.07×105 t for Sangong River catchment.

Key words: soil organic carbon, spatial variability, geo-statistics, oasis, topsoil

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