Author
Listed:
- Jianfei Mo
(Guangxi Institute of Meteorological Science, Nanning 530022, China
Guangxi Ecological Meteorology and Satellite Remote Sensing Center, Nanning 530001, China
Devoted to the application of ecological remote sensing monitoring and evaluation.)
- Yanli Chen
(Guangxi Institute of Meteorological Science, Nanning 530022, China
Guangxi Ecological Meteorology and Satellite Remote Sensing Center, Nanning 530001, China
Devoted to the research on ecological meteorology and environmental remote sensing.)
- Weihua Mo
(Guangxi Institute of Meteorological Science, Nanning 530022, China
Guangxi Ecological Meteorology and Satellite Remote Sensing Center, Nanning 530001, China)
- Yue Zhang
(College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China)
Abstract
Based on the vegetation ecological quality index retrieved by satellite remote sensing in the karst areas of Guangxi in 2000–2019, the status of the ecological restoration of the vegetation and the influencing factors of the ecological restoration potential of the vegetation were analyzed. Then, habitats with a similar ecological restoration potential were categorized and the maximum ecological restoration potential of the vegetation was estimated. Finally, realization and prediction models of the ecological restoration potential of the vegetation were constructed to evaluate the realization degree and provide predictions. The quality of the ecological restoration was good in the study region, and the vegetation ecological quality index showed a fluctuating increasing trend. In the study region, 96.25%, 92.92%, 97.14%, and 99.07% of the total area was shown to have good ecological quality of the vegetation in 2000–2004, 2005–2009, 2010–2014, and 2015–2019, respectively. Terrain, soil, vegetation types, and climatic conditions had significant impacts on the ecological restoration of the vegetation. With the increase in the soil sand content, the changes in the vegetation ecological quality indexes were significant at altitudes of 200 m, 400 m, and 800 m and slopes of 15°, 25°, and 35°. The ecological restoration potential was the highest for forests, peaking at 87.5, followed by shrubs and grasses (87.4), and farmland (85.4). The partial and multiple correlations of the temperature, precipitation, and vegetation ecological quality index were significant, and the climate driving zones were divided into the strong driving zone of temperature and precipitation, temperature-dominated driving zone, precipitation-dominated driving zone, weak driving zone of temperature and precipitation, and non-climate driving zone. There was a high realization of the ecological restoration potential of the vegetation. The vegetation ecological quality in 97.95% of the area was restored, of which regions classified as maintaining growth, having slow growth, and having rapid growth accounted for 79.73%, 18.09%, and 0.13%, respectively, indicating that projects of rocky desertification control and ecological poverty alleviation were well implemented. In the future, the ecological restoration potential of the vegetation is predicted to be mainly low and medium. The areas with low potential are predicted to be mainly distributed in the north and southeast of Hechi, the northwest of Baise, and the west of Chongzuo, where the vegetation ecological quality and ecological restoration of the vegetation are predicted to be good, thus the restoration gap is predicted to be small. The areas with medium potential are predicted to be mainly distributed in the south of Hechi, the south of Baise, and the north of Chongzuo, where the vegetation ecological quality was restored well but further restoration could be beneficial. This research can provide technical support for future evaluations of the ecological restoration of vegetation, as well as construction, in the karst areas in the future.
Suggested Citation
Jianfei Mo & Yanli Chen & Weihua Mo & Yue Zhang, 2022.
"Realization and Prediction of Ecological Restoration Potential of Vegetation in Karst Areas,"
Sustainability, MDPI, vol. 14(19), pages 1-21, September.
Handle:
RePEc:gam:jsusta:v:14:y:2022:i:19:p:12525-:d:930999
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References listed on IDEAS
- Yan, Hao & Wang, Shao-qiang & Billesbach, Dave & Oechel, Walter & Bohrer, Gil & Meyers, Tilden & Martin, Timothy A. & Matamala, Roser & Phillips, Richard P. & Rahman, Faiz & Yu, Qin & Shugart, Herman , 2015.
"Improved global simulations of gross primary product based on a new definition of water stress factor and a separate treatment of C3 and C4 plants,"
Ecological Modelling, Elsevier, vol. 297(C), pages 42-59.
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