干旱区生态环境知识资源中心(Arid): Aboveground Biomass Prediction of Plots in the Natural Forests of Arid Mountains Based on Large Trees

Arid

DOI	10.3390/f14122426
	Aboveground Biomass Prediction of Plots in the Natural Forests of Arid Mountains Based on Large Trees
	Xiong, Shimei; Yi, Lubei; Bao, Anming; Wang, Zhengyu; Tao, Zefu; Xu, Wenqiang
通讯作者	Xu, WQ
来源期刊	FORESTS
EISSN	1999-4907
出版年	2023
卷号	14 期号:12
英文摘要	While the use of large tropical trees to predict aboveground biomass (AGB) in forests has previously been studied, the applicability of this approach in arid regions remains unquantified. In the natural forests of arid mountains of Northwestern China, this study collected individual tree data from 105 plots across 11 sites through field measurements. The objective was to assess the feasibility of using large trees for predicting plot AGB in these natural forests of arid mountains. This entailed determining the contribution of large trees, based on which a plot AGB prediction model was constructed. This study also aimed to identify the optimal number of large trees needed for accurate AGB prediction. The findings indicate that within the natural forests of arid mountains, only seven large trees (approximately 12% of the trees in a plot) are necessary to account for over 50% of the plot AGB. By measuring 18 large trees within a plot, this study achieved a precise plot AGB estimation, resulting in a model rRMSE of 0.27. The regression fit R2 for the predicted AGB and the estimated AGB was 0.79, effectively aligning the predicted and measured AGB. In the Tianshan Mountains' natural forests, the prediction model yielded further improvements with an rRMSE of 0.13 and a remarkable regression R2 of 0.92 between predicted and estimated AGB. However, due to variances in tree size distribution and tree species biomass, the Altai Mountains' natural forest was found to be unsuitable for predicting plot AGB using large trees. This study establishes that large trees can effectively represent plot AGB in the natural forests of arid mountains. Employing forest surveys or remote sensing to collect data from a few large trees instead of the entire tree population enables accurate plot AGB prediction. This research serves as the initial quantification of large tree utilization for plot AGB prediction in the natural forests of arid mountains, carrying substantial implications for future arid forest inventories, carbon accounting, and the formulation of prudent conservation strategies.
英文关键词	large trees aboveground biomass (AGB) diameter at breast height (DBH) plot the natural forests of arid mountains field measurements
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:001136172500001
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/2XILL650/396457
推荐引用方式 GB/T 7714	Xiong, Shimei,Yi, Lubei,Bao, Anming,et al. Aboveground Biomass Prediction of Plots in the Natural Forests of Arid Mountains Based on Large Trees[J],2023,14(12).
APA	Xiong, Shimei,Yi, Lubei,Bao, Anming,Wang, Zhengyu,Tao, Zefu,&Xu, Wenqiang.(2023).Aboveground Biomass Prediction of Plots in the Natural Forests of Arid Mountains Based on Large Trees.FORESTS,14(12).
MLA	Xiong, Shimei,et al."Aboveground Biomass Prediction of Plots in the Natural Forests of Arid Mountains Based on Large Trees".FORESTS 14.12(2023).