Spatial differentiation characteristics of vegetation greening rates and climate attribution in China's arid and semi-arid regions
Since the beginning of the 21st century, vegetation greening in China has continuously increased and ranks among the top globally, especially in the western and northern regions of the country. This study analyzed the characteristics of the greening rates of different vegetation types in China'...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Global Ecology and Conservation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2351989423001981 |
| _version_ | 1797676299997675520 |
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| author | Yunjun Zhan Changying Ma Yan Yan Jieyuan Zhu Yuxin Ji Chuanqi Ma Yue Luo |
| author_facet | Yunjun Zhan Changying Ma Yan Yan Jieyuan Zhu Yuxin Ji Chuanqi Ma Yue Luo |
| author_sort | Yunjun Zhan |
| collection | DOAJ |
| description | Since the beginning of the 21st century, vegetation greening in China has continuously increased and ranks among the top globally, especially in the western and northern regions of the country. This study analyzed the characteristics of the greening rates of different vegetation types in China's arid and semi-arid regions in the northwest, using satellite-derived Normalized Difference Vegetation Index (NDVI) data from 2002 to 2021. Furthermore, the study explored the response of greening rates to climate change and its temporal effect. The study found that in the past two decades, the vegetation greening rates in the southeastern region of China's arid and semi-arid areas are higher than that in the northwest. Vegetation change in the arid and semi-arid regions of China exhibits significant spatial heterogeneity in response to climate change. The vegetation greening rates in the southeast of the study area increases with precipitation, while in the northwest, it is promoted by daytime temperature and day-night temperature difference. The greening rates of cultivated vegetation, grassland, and meadow thicket is mainly affected by precipitation, while the greening rates of alpine grassland is mainly affected by day-night temperature difference. In addition, the response of vegetation greening rates to climate in China's arid and semi-arid regions has significant time lag and cumulative effects. Climate changes before the growing season (February to May) can also affect vegetation greening rates during the growing season (June to September). The cumulative climate changes over four months have a greater impact on vegetation greening rate than those over two months. Our study quantified the contribution of climate change to the greening rates of different vegetation types, which can provide references for predicting the dynamic changes of vegetation under future climate change. |
| first_indexed | 2024-03-11T22:26:00Z |
| format | Article |
| id | doaj.art-8cb23540ac564d8ca3bca7a949658411 |
| institution | Directory Open Access Journal |
| issn | 2351-9894 |
| language | English |
| last_indexed | 2024-03-11T22:26:00Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Global Ecology and Conservation |
| spelling | doaj.art-8cb23540ac564d8ca3bca7a9496584112023-09-24T05:15:21ZengElsevierGlobal Ecology and Conservation2351-98942023-10-0146e02563Spatial differentiation characteristics of vegetation greening rates and climate attribution in China's arid and semi-arid regionsYunjun Zhan0Changying Ma1Yan Yan2Jieyuan Zhu3Yuxin Ji4Chuanqi Ma5Yue Luo6School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100089, China; Corresponding author.Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, ChinaSchool of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100089, ChinaSince the beginning of the 21st century, vegetation greening in China has continuously increased and ranks among the top globally, especially in the western and northern regions of the country. This study analyzed the characteristics of the greening rates of different vegetation types in China's arid and semi-arid regions in the northwest, using satellite-derived Normalized Difference Vegetation Index (NDVI) data from 2002 to 2021. Furthermore, the study explored the response of greening rates to climate change and its temporal effect. The study found that in the past two decades, the vegetation greening rates in the southeastern region of China's arid and semi-arid areas are higher than that in the northwest. Vegetation change in the arid and semi-arid regions of China exhibits significant spatial heterogeneity in response to climate change. The vegetation greening rates in the southeast of the study area increases with precipitation, while in the northwest, it is promoted by daytime temperature and day-night temperature difference. The greening rates of cultivated vegetation, grassland, and meadow thicket is mainly affected by precipitation, while the greening rates of alpine grassland is mainly affected by day-night temperature difference. In addition, the response of vegetation greening rates to climate in China's arid and semi-arid regions has significant time lag and cumulative effects. Climate changes before the growing season (February to May) can also affect vegetation greening rates during the growing season (June to September). The cumulative climate changes over four months have a greater impact on vegetation greening rate than those over two months. Our study quantified the contribution of climate change to the greening rates of different vegetation types, which can provide references for predicting the dynamic changes of vegetation under future climate change.http://www.sciencedirect.com/science/article/pii/S2351989423001981Vegetation greening ratesChinaArid and semi-arid regionsClimate changeVegetation response |
| spellingShingle | Yunjun Zhan Changying Ma Yan Yan Jieyuan Zhu Yuxin Ji Chuanqi Ma Yue Luo Spatial differentiation characteristics of vegetation greening rates and climate attribution in China's arid and semi-arid regions Global Ecology and Conservation Vegetation greening rates China Arid and semi-arid regions Climate change Vegetation response |
| title | Spatial differentiation characteristics of vegetation greening rates and climate attribution in China's arid and semi-arid regions |
| title_full | Spatial differentiation characteristics of vegetation greening rates and climate attribution in China's arid and semi-arid regions |
| title_fullStr | Spatial differentiation characteristics of vegetation greening rates and climate attribution in China's arid and semi-arid regions |
| title_full_unstemmed | Spatial differentiation characteristics of vegetation greening rates and climate attribution in China's arid and semi-arid regions |
| title_short | Spatial differentiation characteristics of vegetation greening rates and climate attribution in China's arid and semi-arid regions |
| title_sort | spatial differentiation characteristics of vegetation greening rates and climate attribution in china s arid and semi arid regions |
| topic | Vegetation greening rates China Arid and semi-arid regions Climate change Vegetation response |
| url | http://www.sciencedirect.com/science/article/pii/S2351989423001981 |
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