Growing-season NDVI responses to climate change in China’s three major marsh wetland regions
The dynamics of marsh wetland vegetation (MWV) play a vital role in the carbon cycle of marsh wetlands under the background global climate change. However, it is still unclear the response of MWV to climate change in China. According to the Normalized Difference Vegetation Index (NDVI) time series a...
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Elsevier
2025-06-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25005114 |
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| author | Yue Deng Shujing Gao Lulu Liu Weiguo Jiang |
| author_facet | Yue Deng Shujing Gao Lulu Liu Weiguo Jiang |
| author_sort | Yue Deng |
| collection | DOAJ |
| description | The dynamics of marsh wetland vegetation (MWV) play a vital role in the carbon cycle of marsh wetlands under the background global climate change. However, it is still unclear the response of MWV to climate change in China. According to the Normalized Difference Vegetation Index (NDVI) time series and climate data in the three major marsh wetland regions of China (Zoige Plateau, Bayanbulak-Bosten Region, and Sanjiang Plain) from 2001 to 2022, this study adopted Sen’s slope and Mann-Kendall test, Pearson’s correlation analysis, Event Coincidence Analysis and Bayesian Adaptive Lasso Quantile Regression to explore the MWV’s response to climate change. The results show that: (1) minimum temperature is the dominant climate factor affecting the interannual variation and monthly variation of grwoing-season MWV. (2) The MWV’s response to temperature shows no time effects. The MWV’s response to precipitation is dominated by time-accumulation effects (total precipitation from previous one month to current month) in Zoige Plateau and Bayanbulak-Bosten Region. MWV’s response to precipitation shows no time effects in Sanjiang Plain. (3) In Zoige Plateau, extreme negative MWV significantly coincide with extreme dry and extreme cold events. In Bayanbulak-Bosten Region, extreme positive or negative MWV are mainly influenced by precipitation. Especially, extreme positive MWV significantly coincide with extreme wet events. In Sanjiang Plain, extreme negative MWV significantly coincide with extreme cold events while extreme positive MWV significantly coincide with nighttime extreme hot events. Overall, this research contributes novel insights into MWV’s response to climate change, which is helpful for the conservation of wetland ecosystems. |
| format | Article |
| id | doaj-art-9cbc6fa7e3b6440fbd6217d626bf1e42 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-9cbc6fa7e3b6440fbd6217d626bf1e422025-08-20T03:48:19ZengElsevierEcological Indicators1470-160X2025-06-0117511358110.1016/j.ecolind.2025.113581Growing-season NDVI responses to climate change in China’s three major marsh wetland regionsYue Deng0Shujing Gao1Lulu Liu2Weiguo Jiang3School of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, China; Corresponding author.School of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, ChinaSchool of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, ChinaState Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100101, ChinaThe dynamics of marsh wetland vegetation (MWV) play a vital role in the carbon cycle of marsh wetlands under the background global climate change. However, it is still unclear the response of MWV to climate change in China. According to the Normalized Difference Vegetation Index (NDVI) time series and climate data in the three major marsh wetland regions of China (Zoige Plateau, Bayanbulak-Bosten Region, and Sanjiang Plain) from 2001 to 2022, this study adopted Sen’s slope and Mann-Kendall test, Pearson’s correlation analysis, Event Coincidence Analysis and Bayesian Adaptive Lasso Quantile Regression to explore the MWV’s response to climate change. The results show that: (1) minimum temperature is the dominant climate factor affecting the interannual variation and monthly variation of grwoing-season MWV. (2) The MWV’s response to temperature shows no time effects. The MWV’s response to precipitation is dominated by time-accumulation effects (total precipitation from previous one month to current month) in Zoige Plateau and Bayanbulak-Bosten Region. MWV’s response to precipitation shows no time effects in Sanjiang Plain. (3) In Zoige Plateau, extreme negative MWV significantly coincide with extreme dry and extreme cold events. In Bayanbulak-Bosten Region, extreme positive or negative MWV are mainly influenced by precipitation. Especially, extreme positive MWV significantly coincide with extreme wet events. In Sanjiang Plain, extreme negative MWV significantly coincide with extreme cold events while extreme positive MWV significantly coincide with nighttime extreme hot events. Overall, this research contributes novel insights into MWV’s response to climate change, which is helpful for the conservation of wetland ecosystems.http://www.sciencedirect.com/science/article/pii/S1470160X25005114Marsh wetland vegetationClimate changeEvent coincidence analysisBayesian adaptive lasso quantile regressionChina |
| spellingShingle | Yue Deng Shujing Gao Lulu Liu Weiguo Jiang Growing-season NDVI responses to climate change in China’s three major marsh wetland regions Ecological Indicators Marsh wetland vegetation Climate change Event coincidence analysis Bayesian adaptive lasso quantile regression China |
| title | Growing-season NDVI responses to climate change in China’s three major marsh wetland regions |
| title_full | Growing-season NDVI responses to climate change in China’s three major marsh wetland regions |
| title_fullStr | Growing-season NDVI responses to climate change in China’s three major marsh wetland regions |
| title_full_unstemmed | Growing-season NDVI responses to climate change in China’s three major marsh wetland regions |
| title_short | Growing-season NDVI responses to climate change in China’s three major marsh wetland regions |
| title_sort | growing season ndvi responses to climate change in china s three major marsh wetland regions |
| topic | Marsh wetland vegetation Climate change Event coincidence analysis Bayesian adaptive lasso quantile regression China |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25005114 |
| work_keys_str_mv | AT yuedeng growingseasonndviresponsestoclimatechangeinchinasthreemajormarshwetlandregions AT shujinggao growingseasonndviresponsestoclimatechangeinchinasthreemajormarshwetlandregions AT lululiu growingseasonndviresponsestoclimatechangeinchinasthreemajormarshwetlandregions AT weiguojiang growingseasonndviresponsestoclimatechangeinchinasthreemajormarshwetlandregions |