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Eco-engineering controls vegetation trends in southwest China karst.
- Source :
-
The Science of the total environment [Sci Total Environ] 2021 May 20; Vol. 770, pp. 145160. Date of Electronic Publication: 2021 Jan 14. - Publication Year :
- 2021
-
Abstract
- The karst area in Yunnan-Guangxi-Guizhou region in southwest China is known for widespread rocky desertification but several studies report a greening trend since the year 2000. While the start of the greening trend seems to match with the implementation of ecological conservation projects, no statistical evidence on a relationship between vegetation greening and eco-engineering exists. Moreover, dominant factors influencing the spatial patterns of vegetation trends have rarely been investigated. Here we use six comprehensive factors representing the natural conditions and human activities of the study area, and several statistical models consistently show that eco-engineering explains large parts of the positive vegetation trends in the karst areas, while negative vegetation trends in non-karst areas of Yunnan were related with a decrease in rainfall. We further show that the interaction of eco-engineering with other factors leads to a heterogeneous pattern of different vegetation trends. Knowing and understanding these patterns is crucial when planning ecological restoration, especially in diverse landscapes like China karst and the methods can be reused in other restoration areas.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2021. Published by Elsevier B.V.)
- Subjects :
- China
Engineering
Human Activities
Humans
Conservation of Natural Resources
Ecosystem
Subjects
Details
- Language :
- English
- ISSN :
- 1879-1026
- Volume :
- 770
- Database :
- MEDLINE
- Journal :
- The Science of the total environment
- Publication Type :
- Academic Journal
- Accession number :
- 33736419
- Full Text :
- https://doi.org/10.1016/j.scitotenv.2021.145160