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河南省土壤有机碳分布空间自相关分析
引用本文:梁二,王小彬,蔡典雄,刘爽,王燕.河南省土壤有机碳分布空间自相关分析[J].应用生态学报,2007,18(6):1305-1310.
作者姓名:梁二  王小彬  蔡典雄  刘爽  王燕
作者单位:中国农业科学院农业资源与农业区划研究所,北京,100081
基金项目:国家自然科学基金;国家重点实验室基金;资源环境与GIS北京市重点实验室开放基金
摘    要:运用空间自相关方法,对河南省1958年(第1次土壤普查)和1985年(第2次土壤普查)两个时间段土壤有机碳储量分布状况进行了研究.结果表明:空间自相关指标能够比较清楚地描述河南省2次土壤普查土壤有机碳储量的地理空间变化.1958年和1985年河南省土壤有机碳总储量分别约为54·93×108t和69·65×108t,年均增长率达1%.土壤有机碳密度时空分布总趋势为豫东南角及豫西高于豫东,豫北及豫中介于两者之间;豫东南角单位面积土壤有机碳储量损失较快,最快损失速率达到年均1·57%;豫东单位面积土壤有机碳储量增加较快,最大增长速率达到年均5·27%.河南省单位面积土壤有机碳储量的时空变化与土壤初始含碳量密切相关,土壤初始含碳量越高,有机碳损失越快.

关 键 词:总初级生产力(GPP)  碳素利用率(NPP/GPP)  净初级生产力(NPP)  东北森林  
文章编号:1001-9332(2007)06-1305-06
修稿时间:2006-04-10

Spatial autocorrelation analysis on soil organic carbon distribution in Henan Province
LIANG Er,WANG Xiao-bin,CAI Dian-xiong,LIU Shuang,WANG Yan.Spatial autocorrelation analysis on soil organic carbon distribution in Henan Province[J].Chinese Journal of Applied Ecology,2007,18(6):1305-1310.
Authors:LIANG Er  WANG Xiao-bin  CAI Dian-xiong  LIU Shuang  WANG Yan
Institution:Institute of Agriculture Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Abstract:With spatial autocorrelation analysis, this paper studied the temporal and spatial variations of soil organic carbon (SOC) storage in Henan Province during the period from the 1st national soil survey (1958) to the 2nd national soil survey (1985). The results showed that spatial auto-correlation indices could better describe the spatiotemporal variation of the SOC storage between the two soil surveys. The total SOC storage was 54.93 x 10(8) t in 1958 and 69.65 x 10(8) t in 1985, with an annual increase of 1%, and the SOC density had a trend of higher in southeast and west Henan, followed by north and central Henan, and east Henan. The SOC storage per unit area decreased more quickly in southeast Henan, with the maximum of 1.57% per year, while increased greater in east Henan, with an average rate of 5.27% per year. The spatiotemporal variation of SOC storage had a close correlation with the original SOC content, i. e., the higher the original SOC content, the more greatly the SOC storage decreased.
Keywords:spatial autocorrelation  soil organic carbon  soil survey  
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