Quantifying the heavy metal risks from anthropogenic contributions in Sichuan panda (Ailuropoda melanoleuca melanoleuca) habitat

doi:10.1016/j.scitotenv.2020.140941

IEECAS OpenIR > 生态环境研究室

	Quantifying the heavy metal risks from anthropogenic contributions in Sichuan panda (Ailuropoda melanoleuca melanoleuca) habitat
	Zhao, Yan 1,2; Chen, Yi-ping 1,3; Zheng, Yingjuan 1,4; Ma, Qingyi 5; Jiang, Yao 3
通讯作者	Chen, Yi-ping(chenyp@ieecas.cn)
	2020-11-25
发表期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
卷号	745 页码:12
摘要	Heavy metals (HM) are ubiquitous in environments, and HM pollution has become a severe global crisis. Previous studies have identified HM levels in Qinling panda habitats but their levels and the associated risks in Sichuan panda habitats are still unknown. Risk-based conservation management is in urgent need and should rely upon identifying risk distributions, quantified risk-source apportionment and collaborative governance. We carried out research in Sichuan panda (Ailuropoda melanoleuca melanoleuca) habitats taking soil, bamboo, and water samples from three different areas (nature reserves, potential habitats, and surrounding regions) of five mountains. The concentrations of HM in the soil were higher than those in bamboo, but both exceeded the background or national standards to varying degrees, suggesting long-term pollution and multi-element contamination. Regional and geographical distribution differences revealed a positive correlation between intensity of human activities and HM pollution. HM contaminants observed in the Sichuan panda habitats, based on their sources, were categorized into coal combustion (34%), industry (44%), and traffic (22%). In particular, our results showed the northern and southern parts of habitat were of highest concern, as they had environmental conditions that could be harmful to the health of giant pandas. Coupling models applying positive matrix factorization model/risk were used to quantify source contributions to various risk types, which was based on real-time monitoring and served as a positive role in multi-step process for developing countermeasures, with the goal of collaboratively reframing the vision and governance of panda conservation in order to incorporate regional disparities. (C) 2020 Elsevier B.V. All rights reserved.
关键词	Heavy metal Risk assessment Source apportionment Sichuan giant panda Conservation policy
DOI	10.1016/j.scitotenv.2020.140941
关键词[WOS]	SOURCE APPORTIONMENT ; POLLUTION ; SOIL ; CHINA ; CONTAMINATION ; TOXICITY ; FOLIAR ; PLANTS ; RIVER ; PARK
收录类别	SCI ; SCI
语种	英语
资助项目	State Key Laboratory of Loess and Quaternary Geology Open Fund (China)[SKLLQG1943] ; High-level Talents Special Support Program of Shaanxi Province (China)
WOS研究方向	Environmental Sciences & Ecology
项目资助者	State Key Laboratory of Loess and Quaternary Geology Open Fund (China) ; High-level Talents Special Support Program of Shaanxi Province (China)
WOS类目	Environmental Sciences
WOS记录号	WOS:000579365600105
出版者	ELSEVIER
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ieecas.cn/handle/361006/15438
专题	生态环境研究室
通讯作者	Chen, Yi-ping
作者单位	1.Chinese Acad Sci, Inst Earth Environm, SKLLQG, Xian 710075, Peoples R China 2.Univ Chinese Acad Sci, Beijing 10049, Peoples R China 3.Xian Inst Innovat Earth Environm Res, Xian 710061, Peoples R China 4.Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China 5.Shaanxi Wild Anim Res Ctr, Xian 710402, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Yan,Chen, Yi-ping,Zheng, Yingjuan,et al. Quantifying the heavy metal risks from anthropogenic contributions in Sichuan panda (Ailuropoda melanoleuca melanoleuca) habitat[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,745:12.
APA	Zhao, Yan,Chen, Yi-ping,Zheng, Yingjuan,Ma, Qingyi,&Jiang, Yao.(2020).Quantifying the heavy metal risks from anthropogenic contributions in Sichuan panda (Ailuropoda melanoleuca melanoleuca) habitat.SCIENCE OF THE TOTAL ENVIRONMENT,745,12.
MLA	Zhao, Yan,et al."Quantifying the heavy metal risks from anthropogenic contributions in Sichuan panda (Ailuropoda melanoleuca melanoleuca) habitat".SCIENCE OF THE TOTAL ENVIRONMENT 745(2020):12.