Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate Change
As global warming continues to intensify, the relationship between diurnal temperature range (DTR) and vegetation productivity continues to change over time. However, the impact of DTR changes on vegetation activities remains uncertain. Thus, further study about how DTR changes affect the physiologi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Forests |
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| Online Access: | https://www.mdpi.com/1999-4907/14/4/744 |
| _version_ | 1797605479352893440 |
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| author | Hanqing Xu Jinkai Tan Chunlan Li Yiying Niu Jun Wang |
| author_facet | Hanqing Xu Jinkai Tan Chunlan Li Yiying Niu Jun Wang |
| author_sort | Hanqing Xu |
| collection | DOAJ |
| description | As global warming continues to intensify, the relationship between diurnal temperature range (DTR) and vegetation productivity continues to change over time. However, the impact of DTR changes on vegetation activities remains uncertain. Thus, further study about how DTR changes affect the physiological activities of plants is also urgently needed. In this study, we employed copula function theory to analyze the impact of DTR on Normalized Difference Vegetation Index (NDVI) values during the spring, summer, and autumn seasons from 1982 to 2014 for various land types in the Inner Mongolia Plain (IMP), China. The results showed that the relationship between DTR and NDVI in the IMP was characterized by correlation at the upper tail and asymptotical independence at the lower tail. This demonstrated that the DTR had little effect on NDVI when they reached their minimum value. However, it has a significant impact on NDVI at its maximum values. This study provides valuable insight into the dynamic impact of monthly DTR on different land use types under climate change. |
| first_indexed | 2024-03-11T05:01:40Z |
| format | Article |
| id | doaj.art-f85083f250034f79a43f5080cb9832e4 |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-11T05:01:40Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-f85083f250034f79a43f5080cb9832e42023-11-17T19:17:16ZengMDPI AGForests1999-49072023-04-0114474410.3390/f14040744Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate ChangeHanqing Xu0Jinkai Tan1Chunlan Li2Yiying Niu3Jun Wang4Institute of Eco-Chongming (IEC), Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, ChinaSchool of Atmospheric Sciences, Key Laboratory of Tropical Atmosphere-Ocean System (Ministry of Education), Sun Yat-sen University, Zhuhai 519082, ChinaSchool of Urban and Regional Sciences, East China Normal University, Shanghai 200241, ChinaInstitute of Eco-Chongming (IEC), Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, ChinaInstitute of Eco-Chongming (IEC), Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, ChinaAs global warming continues to intensify, the relationship between diurnal temperature range (DTR) and vegetation productivity continues to change over time. However, the impact of DTR changes on vegetation activities remains uncertain. Thus, further study about how DTR changes affect the physiological activities of plants is also urgently needed. In this study, we employed copula function theory to analyze the impact of DTR on Normalized Difference Vegetation Index (NDVI) values during the spring, summer, and autumn seasons from 1982 to 2014 for various land types in the Inner Mongolia Plain (IMP), China. The results showed that the relationship between DTR and NDVI in the IMP was characterized by correlation at the upper tail and asymptotical independence at the lower tail. This demonstrated that the DTR had little effect on NDVI when they reached their minimum value. However, it has a significant impact on NDVI at its maximum values. This study provides valuable insight into the dynamic impact of monthly DTR on different land use types under climate change.https://www.mdpi.com/1999-4907/14/4/744extreme climate indexdiurnal temperature variationnormalized difference vegetation indexcopula theoryjoint probability |
| spellingShingle | Hanqing Xu Jinkai Tan Chunlan Li Yiying Niu Jun Wang Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate Change Forests extreme climate index diurnal temperature variation normalized difference vegetation index copula theory joint probability |
| title | Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate Change |
| title_full | Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate Change |
| title_fullStr | Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate Change |
| title_full_unstemmed | Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate Change |
| title_short | Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate Change |
| title_sort | exploring the dynamic impact of extreme climate events on vegetation productivity under climate change |
| topic | extreme climate index diurnal temperature variation normalized difference vegetation index copula theory joint probability |
| url | https://www.mdpi.com/1999-4907/14/4/744 |
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