A new remote-sensing-based indicator for integrating quantity and quality attributes to assess the dynamics of ecosystem assets
文献类型：期刊论文
| 作者 | 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
 |
| 出版日期 | 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. |
| 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. |
入库方式： OAI收割
来源：生态环境研究中心
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。