Author
Listed:
- Xiang Jia
(Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China
Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China
These authors contributed equally to this work.)
- Zhengxu Jin
(Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China
Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China
These authors contributed equally to this work.)
- Xiaoli Mei
(The Third Construction Co., Ltd. of China Construction First Group, Beijing 100161, China)
- Dong Wang
(The Third Construction Co., Ltd. of China Construction First Group, Beijing 100161, China)
- Ruoning Zhu
(The Third Construction Co., Ltd. of China Construction First Group, Beijing 100161, China)
- Xiaoxia Zhang
(The Third Construction Co., Ltd. of China Construction First Group, Beijing 100161, China)
- Zherui Huang
(The Third Construction Co., Ltd. of China Construction First Group, Beijing 100161, China)
- Caixia Li
(Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China
Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China)
- Xiaoli Zhang
(Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China
Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China)
Abstract
Quantitative assessment of the effectiveness of ecological restoration provides timely feedback on restoration efforts, and helps to accurately understand the extent of restoration, while providing scientific support for optimizing restoration programs. In recent decades, the Wuliangsuhai watershed in China’s Inner Mongolia Autonomous Region has been affected by anthropogenic activities, resulting in an increasingly unbalanced ecological environment. In order to curb environmental degradation, the local government implemented the “mountain, water, forest, field, lake and grass ecological protection and restoration project of the Wuliangsuhai watershed” from 2018 to 2020. The project has been completed and there is an urgent need for remote sensing monitoring to aid in performance evaluation. We took the ecological protection and restoration area of the Wuliangsuhai watershed in China as the research object, applied multi-source remote sensing imagery and auxiliary data such as meteorology and geographic basic data, extracted information of each evaluation index before and after the implementation of this project, and used the entropy value method to determine the index weights to comprehensively evaluate the ecological restoration effect. The results showed that after the implementation of the ecological restoration project, the vegetation coverage was further improved, the effectiveness of desert management was obvious, soil and water conservation capacity was strengthened, the ecosystem became more stable, and the areas with good environment were mostly located in the central and eastern parts. A total of 37.86% of the areas had obvious ecological restoration effects, and all indicators were further improved. Among the main treatment areas, the restoration effect of the Wuliangsuhai water ecological restoration and biodiversity conservation area was the best. The restoration effect will be further accentuated over time. This study provides a scientific reference for the further management of the ecological environment in the watershed and can provide a reference for the evaluation of the ecological restoration effect in similar areas in the future.
Suggested Citation
Xiang Jia & Zhengxu Jin & Xiaoli Mei & Dong Wang & Ruoning Zhu & Xiaoxia Zhang & Zherui Huang & Caixia Li & Xiaoli Zhang, 2023.
"Monitoring and Effect Evaluation of an Ecological Restoration Project Using Multi-Source Remote Sensing: A Case Study of Wuliangsuhai Watershed in China,"
Land, MDPI, vol. 12(2), pages 1-17, January.
Handle:
RePEc:gam:jlands:v:12:y:2023:i:2:p:349-:d:1048951
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References listed on IDEAS
- Meng Yuan & Jingyi Ouyang & Shuanning Zheng & Ye Tian & Ran Sun & Rui Bao & Tao Li & Tianshu Yu & Shuang Li & Di Wu & Yongjie Liu & Changyou Xu & Yu Zhu, 2022.
"Research on Ecological Effect Assessment Method of Ecological Restoration of Open-Pit Coal Mines in Alpine Regions,"
IJERPH, MDPI, vol. 19(13), pages 1-14, June.
- Yueshu Yang & Daxiang Liu & Hai Xiao & Jiangang Chen & Yu Ding & Dong Xia & Zhenyao Xia & Wennian Xu, 2019.
"Evaluating the Effect of the Ecological Restoration of Quarry Slopes in Caidian District, Wuhan City,"
Sustainability, MDPI, vol. 11(23), pages 1-16, November.
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