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Allometric biomass equations of Larix sibirica in the Altay Mountains, Northwest China
Li, Yuanyuan1,2; Liu, Qijing1; Meng, Shengwang3; Zhou, Guang1
2019-08-01
Source PublicationJOURNAL OF ARID LAND
ISSN1674-6767
Volume11Issue:4Pages:608-622
Corresponding AuthorLiu, Qijing(liuqijing@bjfu.edu.cn)
AbstractBoreal forests are important carbon sinks and have tremendous potential to mitigate climate change. Aboveground biomass of Siberian larch (Larix sibirica Ledeb.) stands in the Altay Mountains, Northwest China was studied and allometric equations that are related to the biomass of aboveground components using diameter at breast height (DBH) or both DBH and height (H) as independent variables for L. sibirica trees were derived in this paper. A linear simultaneous equation system by using either DBH or both DBH and H (DBH&H) indices, was used to ensure additivity of the biomass of individual tree components, and was fitted for L. sibirica. Model performance was validated using the jackknifing test. Results indicate that the goodness-of-fit for the regressions was lowest for the needles (R-2 ranging from 0.696 to 0.756), and highest for the stem wood (R-2 ranging from 0.984 to 0.997) and the aggregated biomass components (R-2 ranging from 0.994 to 0.995). The coefficient of determination for each component was only marginally improved in terms of model fit and performance in the biomass equations that used DBH&H as the independent variables compared to that used DBH as the independent variable, and needles yielded an even worse fit. Stem biomass accounted for the largest proportion (87%) of the aboveground biomass. Based on the additive equations that used DBH as the single predicitor in this study, the mean aboveground carbon stock density and the carbon storage values of L. sibirica forests were 74.07 Mg C/hm(2) and 30.69 Tg C, respectively, in the Altay Mountains. Empirical comparisons of published equations for the same species growing in the Altay Mountains of Mongolia were also presented. The mean aboveground carbon stock density estimated for L. sibirica forests was higher in the Chinese Altay Mountains than in the Mongolian Altay Mountains (66.00 Mg C/hm(2)).
KeywordLarix sibirica additive equation allometric equation nested regression method carbon storage
DOI10.1007/s40333-019-0023-8
WOS KeywordTREE ABOVEGROUND BIOMASS ; BELOW-GROUND BIOMASS ; NET PRIMARY PRODUCTION ; TIANSHAN MOUNTAINS ; CLIMATE CHANGES ; FOREST ; BOREAL ; GROWTH ; STAND ; PRODUCTIVITY
Indexed BySCI
Language英语
Funding ProjectNational High-Tech Research and Development Plan of China[2013AA122003]
Funding OrganizationNational High-Tech Research and Development Plan of China
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000484954700010
PublisherSPRINGER HEIDELBERG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69642
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Qijing
Affiliation1.Beijing Forestry Univ, Dept Forest Sci, Key Lab Forest Cultivat, Beijing 100083, Peoples R China
2.Shihezi Univ, Coll Agr, Shihezi 832000, Peoples R China
3.Chinese Acad Sci, Qianyanzhou Ecol Res Stn, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Li, Yuanyuan,Liu, Qijing,Meng, Shengwang,et al. Allometric biomass equations of Larix sibirica in the Altay Mountains, Northwest China[J]. JOURNAL OF ARID LAND,2019,11(4):608-622.
APA Li, Yuanyuan,Liu, Qijing,Meng, Shengwang,&Zhou, Guang.(2019).Allometric biomass equations of Larix sibirica in the Altay Mountains, Northwest China.JOURNAL OF ARID LAND,11(4),608-622.
MLA Li, Yuanyuan,et al."Allometric biomass equations of Larix sibirica in the Altay Mountains, Northwest China".JOURNAL OF ARID LAND 11.4(2019):608-622.
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