气候变化领域集成服务门户(CCPortal): Tree species classification improves the estimation of BVOCs from urban greenspace

CCPortal

DOI	10.1016/j.scitotenv.2023.169762
	Tree species classification improves the estimation of BVOCs from urban greenspace
	Bao, Xinxin; Zhou, Weiqi; Wang, Weimin; Yao, Yang; Xu, Linli
发表日期	2024
ISSN	0048-9697
EISSN	1879-1026
起始页码	914
卷号	914
英文摘要	Accurate estimation of biogenic volatile organic compounds (BVOCs) emissions from urban plants is important as BVOCs affect the formation of secondary pollutants and human health. However, uncertainties exist for the estimation of BVOCs emissions from urban greenspace due to the lack of tree species classification with high spatial resolution. Here, we generated a tree species classification dataset with 10 m resolution to estimate tree species -level BVOCs emissions and quantify their impact on air quality in Shenzhen in southern China. The results showed that for the entire city, the BVOCs emissions based on traditional plant functional types (PFTs) dataset were substantially underestimated compared with the tree species classification data (6.37 kt versus 8.23 kt, with 22.60 % difference). The underestimation is particularly prominent in urban built-up areas, where our estimation was 1.65 kt, nearly twice of that based on PFTs data (0.86 kt). BVOCs estimation in built-up areas contributed approximately 20.07 % to the total. These BVOCs contributed substantially to the increase of ambient O-3, but had limited impacts to ambient fine particulate matter (PM2.5). Our results underscore the importance of high spatial resolution tree species -level classification in more accurate estimation of BVOCs, especially in highly developed urban areas. The enhanced understanding of the patterns of BVOCs emissions by urban trees and the impact on secondary pollutants can better support fine -scale tree planning and management for livable environments in urban areas.
英文关键词	Biogenic volatile compounds (BVOCs); Urban greenspace; Dominant species classification; Ozone (O-3); Secondary organic aerosol (SOA); Shenzhen
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001166539200001
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/299242
作者单位	Chinese Academy of Sciences; University of Science & Technology of China, CAS; Chinese Academy of Sciences; Research Center for Eco-Environmental Sciences (RCEES); Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Bao, Xinxin,Zhou, Weiqi,Wang, Weimin,et al. Tree species classification improves the estimation of BVOCs from urban greenspace[J],2024,914.
APA	Bao, Xinxin,Zhou, Weiqi,Wang, Weimin,Yao, Yang,&Xu, Linli.(2024).Tree species classification improves the estimation of BVOCs from urban greenspace.SCIENCE OF THE TOTAL ENVIRONMENT,914.
MLA	Bao, Xinxin,et al."Tree species classification improves the estimation of BVOCs from urban greenspace".SCIENCE OF THE TOTAL ENVIRONMENT 914(2024).