Variations in the biomass of <Emphasis Type="Italic">Eucalyptus</Emphasis> plantations at a regional scale in Southern China |
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| Authors: | Quanyi Qiu Guoliang Yun Shudi Zuo Jing Yan Lizhong Hua Yin Ren Jianfeng Tang Yaying Li Qi Chen |
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| Institution: | 1.Key Laboratory of Urban Environment and Health, Key Laboratory of Urban Metabolism of Xiamen,Institute of Urban Environment, Chinese Academy of Sciences,Xiamen,People’s Republic of China;2.Ningbo Urban Environment Observation and Research Station-NUEORS,Chinese Academy of Sciences,Ningbo,People’s Republic of China;3.University of Chinese Academy of Sciences,Beijing,People’s Republic of China;4.Department of Spatial Information Science and Engineering,Xiamen University of Technology,Xiamen,People’s Republic of China;5.Department of Geography,University of Hawai’i at Manoa,Honolulu,USA |
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| Abstract: | 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. |
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