气候变化领域集成服务门户(CCPortal): Biomass Estimation Models for Six Shrub Species in Hunshandake Sandy Land in Inner Mongolia, Northern China

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DOI	10.3390/f12020167
	Biomass Estimation Models for Six Shrub Species in Hunshandake Sandy Land in Inner Mongolia, Northern China
	Yao, Xueling; Yang, Guojing; Wu, Bo; Jiang, Lina; Wang, Feng
通讯作者	Yang, GJ (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China.
发表日期	2021
EISSN	1999-4907
卷号	12 期号:2
英文摘要	Shrub biomass estimation is valuable in assessing ecological health, soil, and water conservation capacity, and carbon storage in arid areas, where trees are scattered, and shrubs are usually dominant. Most shrub biomass estimation models are derived from trees designed for trees, yet shrubs and trees show significant differences in morphology. However, current biomass estimation methods specifically for shrubs are still lacking. This study aimed to test various predictors' performance in estimating shrub biomass, particularly providing an improved cone frustum volume model as a new predictor. Seven different variables, including three univariates and four composite variables, were selected as predictors in allometric models. Six dominant shrub species of different sizes and morphology in the semi-arid Hunshandake Sandy Land in Inner Mongolia were selected as samples to test the seven predictors' performances in above-ground biomass estimation. Results showed that the single measurements performed poorly and were not suitable for shrub biomass estimation. The allometric models, including crown-related volumes as predictors, performed much better and were considered ideal for common shrub biomass estimation. The improved cone frustum volume model had more flexible geometric for shrubs of different shapes and sizes, with high fitting accuracy and stability among all the volume predictors. Therefore, we recommend the volume of an inverted cone frustum with a crown diameter and ground diameter as the long and short diameters as an excellent predictor of shrub biomass estimation, especially when studies involve various shrub species, and a general model would be needed.
关键词	ALLOMETRIC EQUATIONS ABOVEGROUND BIOMASS FOREST BIOMASS
英文关键词	sandy land; shrub; biomass; allometric model; arid
语种	英语
WOS研究方向	Forestry
WOS类目	Forestry
WOS记录号	WOS:000622511200001
来源期刊	FORESTS
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/253738
作者单位	[Yao, Xueling; Wu, Bo; Wang, Feng] Chinese Acad Forestry, Inst Desertificat Studies, Beijing 100091, Peoples R China; [Yang, Guojing] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China; [Jiang, Lina] Chinese Acad Forestry, Res Inst Forestry New Technol, Beijing 100091, Peoples R China
推荐引用方式 GB/T 7714	Yao, Xueling,Yang, Guojing,Wu, Bo,et al. Biomass Estimation Models for Six Shrub Species in Hunshandake Sandy Land in Inner Mongolia, Northern China[J]. 中国科学院西北生态环境资源研究院,2021,12(2).
APA	Yao, Xueling,Yang, Guojing,Wu, Bo,Jiang, Lina,&Wang, Feng.(2021).Biomass Estimation Models for Six Shrub Species in Hunshandake Sandy Land in Inner Mongolia, Northern China.FORESTS,12(2).
MLA	Yao, Xueling,et al."Biomass Estimation Models for Six Shrub Species in Hunshandake Sandy Land in Inner Mongolia, Northern China".FORESTS 12.2(2021).