干旱区生态环境知识资源中心(Arid): Biomass Estimation Models for Six Shrub Species in Hunshandake Sandy Land in Inner Mongolia, Northern China

Arid

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 (corresponding author), Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China.
来源期刊	FORESTS
EISSN	1999-4907
出版年	2021
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.
英文关键词	sandy land shrub biomass allometric model arid
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000622511200001
WOS类目	Forestry
WOS研究方向	Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350242
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],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).