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不同发育阶段杉木林土壤有机碳变化特征及影响因素     被引量:54

The Variation Characteristics of Soil Organic Carbon and Its Influence Factor in Different Developing Stages of Chinese fir Plantations

文献类型:期刊文献

中文题名:不同发育阶段杉木林土壤有机碳变化特征及影响因素

英文题名:The Variation Characteristics of Soil Organic Carbon and Its Influence Factor in Different Developing Stages of Chinese fir Plantations

作者:王丹[1] 王兵[2] 戴伟[1] 李萍[1] 胡文[2] 郭浩[2]

第一作者:王丹

机构:[1]北京林业大学水土保持学院;[2]中国林业科学研究院森林生态环境与保护研究所

年份:2009

卷号:22

期号:5

起止页码:667-671

中文期刊名:林业科学研究

外文期刊名:Forest Research

收录:CSTPCD;;Scopus;北大核心:【北大核心2008】;CSCD:【CSCD2011_2012】;

基金:国家自然科学基金项目(30590381);林业公益性行业科研专项(200804022);科技部"十一五"科技支撑计划(2006BAD03A0702);江西大岗山国家级森林生态站资助项目

语种:中文

中文关键词:杉木林;发育阶段;有机碳;土壤因子

外文关键词:Chinese fir plantation; developing stages; soil organic carbon; soil factors

分类号:Q714.5

摘要:对江西大岗山地区不同发育阶段杉木林林地土壤有机碳变化特征进行了研究,并利用相关分析和逐步回归分析方法探讨了土壤因子对其的影响。结果表明,不同发育阶段土壤有机碳含量随土壤深度的增加而降低,各层次有机碳含量表现出明显的变异特征,变异程度为:40-60 cm土层〉20-40 cm土层〉0-20 cm土层,其中中龄林土壤变异最为显著;随杉木的生长发育,土壤有机碳含量从幼龄林到中龄林呈下降趋势,中龄林到过熟林则呈上升趋势;土壤有机碳含量与全N量、碱解N量、有效P含量等土壤因子密切相关;建立的从幼龄林到过熟林各阶段的土壤有机碳回归方程具有较高的回归精度,比较标准化回归系数法处理显示,土壤N状况是影响土壤有机碳变异的主导因子。
The variation characteristics of soil organic carbon (SOC) in different developing stages of Chinese fir plantations were studied in Dagang mountain of Jiangxi Province. Correlation analysis and stepwise regression analysis were used to investigate the influence of soil factors on SOC content. Results showed that SOC content decreased with increasing soil depth. Significant variation characteristics of SOC content were found in different soil layers, with coefficient variation in the order of 40 -60 cm 〉 20 -40 cm 〉 0 -20 cm, especially in the medium forest soil. With the growth and development of Chinese fir plantations, SOC content decreased from juvenile to medium, and then increased from medium to over-mature. The SOC content had close correlations with total nitrogen content and alkali-hydrolyzable nitrogen content. The SOC regression equations in different developing stages of Chinese fir plantations were established with high regression estimation precision. Compared Beta suggested that soil nitrogen was the leading factor of SOC content variation.

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