Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China
Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and preci...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/21/5369 |
| _version_ | 1827645615207612416 |
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| author | Leidi Wang Fei Hu Caiyue Zhang Yuchen Miao Huilin Chen Keyou Zhong Mingzhu Luo |
| author_facet | Leidi Wang Fei Hu Caiyue Zhang Yuchen Miao Huilin Chen Keyou Zhong Mingzhu Luo |
| author_sort | Leidi Wang |
| collection | DOAJ |
| description | Climate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection. |
| first_indexed | 2024-03-09T18:41:41Z |
| format | Article |
| id | doaj.art-04fc863111ee432a9dc5c2e5035a9c3b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T18:41:41Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-04fc863111ee432a9dc5c2e5035a9c3b2023-11-24T06:37:53ZengMDPI AGRemote Sensing2072-42922022-10-011421536910.3390/rs14215369Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, ChinaLeidi Wang0Fei Hu1Caiyue Zhang2Yuchen Miao3Huilin Chen4Keyou Zhong5Mingzhu Luo6College of Agriculture, South China Agricultural University, Guangzhou 510642, ChinaCollege of Agriculture, South China Agricultural University, Guangzhou 510642, ChinaCollege of Agriculture, South China Agricultural University, Guangzhou 510642, ChinaFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, VIC 3010, AustraliaCollege of Agriculture, South China Agricultural University, Guangzhou 510642, ChinaCollege of Agriculture, South China Agricultural University, Guangzhou 510642, ChinaCollege of Agriculture, South China Agricultural University, Guangzhou 510642, ChinaClimate extremes, particularly drought, often affect the ecosystem. Guangdong Province is one of the most vulnerable areas in China. Using the normalized difference vegetation index (NDVI) to capture vegetation dynamics, this study investigated vegetation responses to drought, temperature, and precipitation extremes on a monthly scale in the vegetation area of Guangdong without vegetation type changes from 1982 to 2015. As extreme temperatures rose, a drought trend occurred in most months, with a higher rate in February and April. The vegetation evenly showed a significant greening trend in all months except June and October. The vegetation activity was significantly positively correlated with the increased extreme temperatures in most months. However, it exerted a negative correlation with drought in February, April, May, June, and September, as well as precipitation extremes in February, April, and June. The response of vegetation to drought was the most sensitive in June. The vegetation tended to be more sensitive to short-term droughts (1–2 months) and had no time lag in response to drought. The results are helpful to provide references for ecological management and ecosystem protection.https://www.mdpi.com/2072-4292/14/21/5369vegetation dynamicsmonthly scaleclimate extremesdroughtNDVIGuangdong |
| spellingShingle | Leidi Wang Fei Hu Caiyue Zhang Yuchen Miao Huilin Chen Keyou Zhong Mingzhu Luo Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China Remote Sensing vegetation dynamics monthly scale climate extremes drought NDVI Guangdong |
| title | Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China |
| title_full | Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China |
| title_fullStr | Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China |
| title_full_unstemmed | Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China |
| title_short | Response of Vegetation to Different Climate Extremes on a Monthly Scale in Guangdong, China |
| title_sort | response of vegetation to different climate extremes on a monthly scale in guangdong china |
| topic | vegetation dynamics monthly scale climate extremes drought NDVI Guangdong |
| url | https://www.mdpi.com/2072-4292/14/21/5369 |
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