Land Use Pattern and Vegetation Cover Dynamics in the Three Gorges Reservoir (TGR) Intervening Basin
The Three Gorges Reservoir (TGR) intervening basin is one of the most important, ecologically fragile and sensitive areas in the upper reaches of the Yangtze River. Since the completion and operation of the TGR, the change of the ecological environment in this region—with vegetation as an indicator—...
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MDPI AG
2020-07-01
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author | Yi Xiong Jianzhong Zhou Lu Chen Benjun Jia Na Sun Mengqi Tian Guohua Hu |
author_facet | Yi Xiong Jianzhong Zhou Lu Chen Benjun Jia Na Sun Mengqi Tian Guohua Hu |
author_sort | Yi Xiong |
collection | DOAJ |
description | The Three Gorges Reservoir (TGR) intervening basin is one of the most important, ecologically fragile and sensitive areas in the upper reaches of the Yangtze River. Since the completion and operation of the TGR, the change of the ecological environment in this region—with vegetation as an indicator—has been a consistent focus of attention. Based on the six phases of land use data and normalized difference vegetation index (NDVI), temperature and precipitation data from 1998 to 2017, the change and trend of land use and vegetation cover in the TGR intervening basin were analyzed quantitatively by using a transition matrix, linear regression and partial correlation analysis. The area of unchanged land use type is 56,565 km<sup>2</sup>, accounting for 97.27% of the total area of the basin. The vegetation coverage with NDVI as the indicator showed a significant upward trend, with a growth rate of 7.5%/10a. The impact of temperature on vegetation was greater than that of precipitation on vegetation. The non-linear fitting curve of NDVI to temperature and precipitation rose with the time course of TGR impoundment, although the mechanism remains to be studied further. In general, climate change, ecological restoration measures, urbanization and reservoir impoundment did not significantly change the spatial distribution pattern of land use and the climate driving mechanism of vegetation growth in the TGR intervening basin. |
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institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-03-10T18:24:49Z |
publishDate | 2020-07-01 |
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series | Water |
spelling | doaj.art-82fb7cb1d2864783ab2826e8341f1e502023-11-20T07:05:41ZengMDPI AGWater2073-44412020-07-01127203610.3390/w12072036Land Use Pattern and Vegetation Cover Dynamics in the Three Gorges Reservoir (TGR) Intervening BasinYi Xiong0Jianzhong Zhou1Lu Chen2Benjun Jia3Na Sun4Mengqi Tian5Guohua Hu6School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Hydraulic Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaThe Three Gorges Reservoir (TGR) intervening basin is one of the most important, ecologically fragile and sensitive areas in the upper reaches of the Yangtze River. Since the completion and operation of the TGR, the change of the ecological environment in this region—with vegetation as an indicator—has been a consistent focus of attention. Based on the six phases of land use data and normalized difference vegetation index (NDVI), temperature and precipitation data from 1998 to 2017, the change and trend of land use and vegetation cover in the TGR intervening basin were analyzed quantitatively by using a transition matrix, linear regression and partial correlation analysis. The area of unchanged land use type is 56,565 km<sup>2</sup>, accounting for 97.27% of the total area of the basin. The vegetation coverage with NDVI as the indicator showed a significant upward trend, with a growth rate of 7.5%/10a. The impact of temperature on vegetation was greater than that of precipitation on vegetation. The non-linear fitting curve of NDVI to temperature and precipitation rose with the time course of TGR impoundment, although the mechanism remains to be studied further. In general, climate change, ecological restoration measures, urbanization and reservoir impoundment did not significantly change the spatial distribution pattern of land use and the climate driving mechanism of vegetation growth in the TGR intervening basin.https://www.mdpi.com/2073-4441/12/7/2036land use transition matrixnormalized difference vegetation index (NDVI)partial correlation analysisThree Gorges Reservoir (TGR) |
spellingShingle | Yi Xiong Jianzhong Zhou Lu Chen Benjun Jia Na Sun Mengqi Tian Guohua Hu Land Use Pattern and Vegetation Cover Dynamics in the Three Gorges Reservoir (TGR) Intervening Basin Water land use transition matrix normalized difference vegetation index (NDVI) partial correlation analysis Three Gorges Reservoir (TGR) |
title | Land Use Pattern and Vegetation Cover Dynamics in the Three Gorges Reservoir (TGR) Intervening Basin |
title_full | Land Use Pattern and Vegetation Cover Dynamics in the Three Gorges Reservoir (TGR) Intervening Basin |
title_fullStr | Land Use Pattern and Vegetation Cover Dynamics in the Three Gorges Reservoir (TGR) Intervening Basin |
title_full_unstemmed | Land Use Pattern and Vegetation Cover Dynamics in the Three Gorges Reservoir (TGR) Intervening Basin |
title_short | Land Use Pattern and Vegetation Cover Dynamics in the Three Gorges Reservoir (TGR) Intervening Basin |
title_sort | land use pattern and vegetation cover dynamics in the three gorges reservoir tgr intervening basin |
topic | land use transition matrix normalized difference vegetation index (NDVI) partial correlation analysis Three Gorges Reservoir (TGR) |
url | https://www.mdpi.com/2073-4441/12/7/2036 |
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