Variations in the biomass of Eucalyptus plantations at a regional scale in Southern China

查看全文 作　　者：Quanyi [1,2]Qiu;Guoliang [1,3]Yun;Shudi [1,2]Zuo;Jing [1,3]Yan;Lizhong [4]Hua;Yin [1,2]Ren;Jianfeng [2]Tang;Yaying [2]Li;Qi [5]Chen

机构地区：[1]Key Laboratory of Urban Environment and Health, Key Laboratory of Urban Metabolism of Xiamen, Institute of Urban Environment, Chinese Academy of Sciences, Jimei Avenue 1799, Xiamen, People's Republic of China;[2]Ningbo Urban Environment Observation and Research Station-NUEORS, Chinese Academy of Sciences,Ningbo 315800, People's Republic of China;[3]University of Chinese Academy of Sciences, Beijing 100049 People's Republic of China;[4]Department of Spatial Information Science and Engineering,Xiamen University of Technology, Xiamen 361024,People's Republic of China;[5]Department of Geography, University of Hawai'i at Manoa,422 Saunders Hall, 2424 Maile Way, Honolulu, Hawai'i,USA

出　　处：《Journal of Forestry Research》索引2018年第29卷第5期,共14页

基　　金：supported by the Major Research Development Program of China(2016YFC0502704);National Science Foundation of China(31670645,31470578 and 31200363);National Forestry Public Welfare Foundation of China(201304205);Fujian Provincial Department of S&T Project(2013YZ0001-1,2015Y0083,2016Y0083,2016T3037 and 2016T3032);Key Laboratory of Urban Environment and Health of CAS(KLUEH-C-201701);Youth Innovation Promotion Association CAS(2014267);Key Program of the Chinese Academy of Sciences(KFZDSW-324) 摘　　要：We quantified deviations in regional forest biomass from simple extrapolation of plot data by the biomass expansion factor method(BEF) versus estimates obtained from a local biomass model,based on large-scale empirical field inventory sampling data.The sources and relative contributions of deviations between the two models were analyzed by the boosted regression trees method.Relative to the local model,BEF overestimated accumulative biomass by 22.12%.The predominant sources of the total deviation (70.94%) were stand-structure variables.Stand age and diameter at breast height are the major factors.Compared with biotic variables,abiotic variables had a smaller overall contribution (29.06%),with elevation and soil depth being the most important among the examined abiotic factors.Large deviations in regional forest biomass and carbon stock estimates are likely to be obtained with BEF relative to estimates based on local data.To minimize deviations,stand age and elevation should be included in regional forest-biomass estimation. 关键词：生物资源地区性种植园桉树中国资源建模相对贡献回归树

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Variations in the biomass of Eucalyptus plantations at a regional scale in Southern China

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