澜沧江中游山地不同土地利用对土壤有机碳的影响及预测  

Effects of different land-use types on soil organic carbon and its prediction in the mountainous areas in the middle reaches of Lancang River

作　　者：刘世梁[1] 安南南 杨珏婕[1] 董玉红[2] 王聪[1] 

机构地区：[1]北京师范大学环境学院/环境模拟与污染控制国家重点联合实验室,北京100875 [2]中国林业科学研究院林业研究所,北京100091

出　　处：《应用生态学报》2015年第4期981-988,共8页Chinese Journal of Applied Ecology

基　　金：环保公益项目(2012090290)资助

摘　　要：基于2011年实地采集的210个表层（0~20 cm）土壤样本,研究了澜沧江中游山地4种典型土地利用类型土壤有机碳含量的空间分布差异.利用相关性分析研究土壤有机碳含量与土地利用类型、地形因子、归一化植被指数之间的关系,采用多元线性回归模型和克里格插值模型预测澜沧江中游山地有机碳含量分布.结果表明：研究区4种土地利用类型表层土壤有机碳含量的大小依次为：林地〉灌丛〉草地〉农田.土地利用类型、坡向、坡度和平面曲率均是影响土壤有机碳含量的重要因素.多元回归模型比地统计学模型对山地生态系统土壤有机碳的预测效果更好.Based on the analysis of 210 surface soil samples （0-20 cm） according to field investi- gation in 2011, soil organic carbon （SOC） content and its distribution under four different land-use types in the middle reaches of Lancang River were studied. Combining with the correlation analysis, relationships among SOC content, land-use type, topographical factors and NDVI were revealed. Furthermore, multiple linear regression and Kriging method were used to predict the SOC contents distribution in the mountainous areas in the middle reaches of Lancang River. The results exhibited that the rank order of SOC content under the four land-use types was forestland 〉 scrubland 〉 grass- land 〉 farmland. The important factors influencing the SOC content were land-use type, aspect, slope and curvature. Comparing the accuracy of these two models, we found that the multiple regres- sion model performed better than geo-statistics in prediction of the SOC content in the mountainous region,

关 键 词：土地利用 土壤有机碳 澜沧江 多元线性回归 克里格插值 

分 类 号：S153.6[农业科学—土壤学] U412.1[农业科学—农业基础科学]