A new remote-sensing-based indicator for integrating quantity and quality attributes to assess the dynamics of ecosystem assets

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	A new remote-sensing-based indicator for integrating quantity and quality attributes to assess the dynamics of ecosystem assets
	Huang, Binbin; Li, Ruonan; Ding, Zhaowei; O'Connor, Patrick; Kong, Lingqiao; Xiao, Yi; Xu, Weihua; Guo, Yanan; Yang, Yanying; Li, Ruida
刊名	GLOBAL ECOLOGY AND CONSERVATION
	2020-06
卷号	22 页码:1-8
关键词	Ecosystem asset Ecosystem asset quantity Ecosystem asset quality Ecosystem asset index Ecosystem service
ISSN号	2351-9894
英文摘要	Ecological benefits provided by ecosystem assets play an important role in improving human wellbeing. However, there are few feasible methods to combine data on the quantity and quality of ecosystem assets to describe their state and trend. Here, we developed a new remote-sensing-based indicator by synthesizing ecosystem asset quantity and quality data for effective assessment at a regional or national scale. The new indicator includes a typological ecosystem asset index (TEAI) (e.g., forest ecosystem asset index) and an integrated ecosystem asset index (IEAI). The TEAI and IEAI can be used to assess the state and trend of a specific ecosystem or set of regional ecosystems, respectively. We applied the new indicator in the context of ecological protection policy in the Three-Rivers Source Region (TRSR), a region known as the 'Chinese water tower'. From 2000 to 2015, the IEAI increased by 4.02% due to an increase in the ecosystem asset area (0.2%) and the ecosystem asset quality (0.66% and 0.02% increases in excellent and good level ecosystem assets, respectively). The implementation of ecological protection and ecological restoration programs was the main direct driver of regional ecological asset improvement. Our results suggest the new indicator is feasible for quickly and accurately evaluating the state and trend of ecosystem assets and can be used to guide ecosystem management at a large regional scale. (C) 2020 The Authors. Published by Elsevier B.V.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/44195]
专题	生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式 GB/T 7714	Huang, Binbin,Li, Ruonan,Ding, Zhaowei,et al. A new remote-sensing-based indicator for integrating quantity and quality attributes to assess the dynamics of ecosystem assets[J]. GLOBAL ECOLOGY AND CONSERVATION,2020,22:1-8.
APA	Huang, Binbin.,Li, Ruonan.,Ding, Zhaowei.,O'Connor, Patrick.,Kong, Lingqiao.,...&Wang, Xiaoke.(2020).A new remote-sensing-based indicator for integrating quantity and quality attributes to assess the dynamics of ecosystem assets.GLOBAL ECOLOGY AND CONSERVATION,22,1-8.
MLA	Huang, Binbin,et al."A new remote-sensing-based indicator for integrating quantity and quality attributes to assess the dynamics of ecosystem assets".GLOBAL ECOLOGY AND CONSERVATION 22(2020):1-8.