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Species-specific and generalized allometric equations for improving aboveground biomass estimations of 33 understory woody species in northeastern China forest ecosystems

文献类型：期刊论文

作者Meng, Shengwang6; Zhou, Guang5; Liu, Wenhui4; Yu, Jian3; Zhou, Hua2; Liu, Qijing6
刊名CANADIAN JOURNAL OF FOREST RESEARCH
出版日期2024-03-05
卷号N/A
关键词additivity allometry small trees shrubs weighted nonlinear seemingly unrelated regression
DOI10.1139/cjfr-2023-0171
产权排序1
文献子类Article ; Early Access
英文摘要Understory small trees and shrubs play a crucial role in the biogeochemical cycles in forest ecosystems. However, their biomass in northeastern China is still uncertain and has been heavily disregarded due to the limited number of available allometric equations. For this study, 782 plants from 33 species obtained by the destructive method were used to develop species -specific and generalized aboveground allometric biomass equations based on collar diameter (D) and height (H) using weighted nonlinear seemingly unrelated regression. Each biomass component was shown to be well predicted by D alone, with R2 adj. values mostly greater than 0.80. The majority of species performed better in the models for wood and aboveground biomass when H was included as D2H. Furthermore, generalized equations for the two components showed a comparatively large coefficient of variation but comparable Bias to species -specific equations, especially for small trees. It is recommended to estimate biomass using generalized equations for mixed species only when species -specific equations are unavailable at a given site. However, in the event when precision is not the primary concern, generalized equations are also suggested. The developed equations will help to improve the accuracy of biomass assessment of understory woody plants in northeastern China forest ecosystems.
WOS关键词ESTIMATING TREE BIOMASS ; CARBON STOCKS ; COMMON SHRUBS ; MODELS ; ADDITIVITY ; PATTERNS ; BIAS
WOS研究方向Forestry
语种英语
WOS记录号WOS:001176416100001
出版者CANADIAN SCIENCE PUBLISHING
源URL[http://ir.igsnrr.ac.cn/handle/311030/203323]  
专题生态系统网络观测与模拟院重点实验室_外文论文
作者单位1.Guizhou Acad Forestry, Guizhou Liping Rocky Desertificat Ecosyst Natl Obs, Guiyang 550000, Guizhou, Peoples R China
2.Jiangsu Vocat Coll Agr & Forestry, Sch Landscape Architecture, Jurong 212400, Jiangsu, Peoples R China
3.Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China
4.Jiangxi Acad Forestry, Nanchang 330013, Jiangxi, Peoples R China
5.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Meng, Shengwang,Zhou, Guang,Liu, Wenhui,et al. Species-specific and generalized allometric equations for improving aboveground biomass estimations of 33 understory woody species in northeastern China forest ecosystems[J]. CANADIAN JOURNAL OF FOREST RESEARCH,2024,N/A.
APA Meng, Shengwang,Zhou, Guang,Liu, Wenhui,Yu, Jian,Zhou, Hua,&Liu, Qijing.(2024).Species-specific and generalized allometric equations for improving aboveground biomass estimations of 33 understory woody species in northeastern China forest ecosystems.CANADIAN JOURNAL OF FOREST RESEARCH,N/A.
MLA Meng, Shengwang,et al."Species-specific and generalized allometric equations for improving aboveground biomass estimations of 33 understory woody species in northeastern China forest ecosystems".CANADIAN JOURNAL OF FOREST RESEARCH N/A(2024).

入库方式： OAI收割

来源：地理科学与资源研究所

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