Issue |
E3S Web Conf.
Volume 96, 2019
2018 6th International Conference on Environment Pollution and Prevention (ICEPP 2018)
|
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Article Number | 02001 | |
Number of page(s) | 4 | |
Section | Ecosystem and Solid Waste Management | |
DOI | https://doi.org/10.1051/e3sconf/20199602001 | |
Published online | 28 May 2019 |
Deforestation effects on land surface energy coupling: a data-driven perspective
1 School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China
2 School of Computer Science, Sichuan University, Chengdu,Sichuan, China
3 School of Statistics, Jiangxi University of Finance and Economics, Nanchang City,Jiangxi, China
* Corresponding author: zhuyi77@bupt.edu.cn
Deforestation dramatically alters land surface properties and functions through multiple biogeophysical and biogeochemical pathways. However, a quantitative identification of how deforestation affects local energy-water-vegetation coupling is still challenging. In this study we employed information theory and transfer entropy framework to identify the overall feedback pattern of land surface water-energy-vegetation coupling, using high frequency eddy covariance measurements at forested versus deforested sites. We found that deforestation strengthened the directional influence of atmospheric demand on land surface water flux, and more importantly, deforestation broke the coupling between vegetation activities and local precipitation, which led to a less efficient ecosystem to recycle and maintain water within this system.
© The Authors, published by EDP Sciences 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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