Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.3390/su141912525 |
| Realization and Prediction of Ecological Restoration Potential of Vegetation in Karst Areas | |
| Mo, Jianfei; Chen, Yanli; Mo, Weihua; Zhang, Yue | |
| 通讯作者 | Chen, YL |
| 来源期刊 | SUSTAINABILITY
 |
| EISSN | 2071-1050 |
| 出版年 | 2022 |
| 卷号 | 14期号:19 |
| 英文摘要 | 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 degrees, 25 degrees, and 35 degrees. 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. |
| 英文关键词 | vegetation ecological quality index potential ecological restoration of vegetation similar habitat method karst areas of Guangxi |
| 类型 | Article |
| 语种 | 英语 |
| 开放获取类型 | gold |
| 收录类别 | SCI-E ; SSCI |
| WOS记录号 | WOS:000867341500001 |
| WOS关键词 | QUALITY ; REGION ; TRENDS |
| WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/394659 |
| 推荐引用方式 GB/T 7714 | Mo, Jianfei,Chen, Yanli,Mo, Weihua,et al. Realization and Prediction of Ecological Restoration Potential of Vegetation in Karst Areas[J],2022,14(19). |
| APA | Mo, Jianfei,Chen, Yanli,Mo, Weihua,&Zhang, Yue.(2022).Realization and Prediction of Ecological Restoration Potential of Vegetation in Karst Areas.SUSTAINABILITY,14(19). |
| MLA | Mo, Jianfei,et al."Realization and Prediction of Ecological Restoration Potential of Vegetation in Karst Areas".SUSTAINABILITY 14.19(2022). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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