Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basins
The terrestrial water storage anomaly (TWSA) is an important parameter for assessing the land water budget, and it interacts well with terrestrial ecosystems via complex hydrological processes. Recently, the decline in central Asian terrestrial water storage (TWS) has threatened the health of local...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23010439 |
| _version_ | 1797683078772031488 |
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| author | Zongxu Yu Yichi Zhang Ping Wang Jingjie Yu Tianye Wang Shangyu Shi |
| author_facet | Zongxu Yu Yichi Zhang Ping Wang Jingjie Yu Tianye Wang Shangyu Shi |
| author_sort | Zongxu Yu |
| collection | DOAJ |
| description | The terrestrial water storage anomaly (TWSA) is an important parameter for assessing the land water budget, and it interacts well with terrestrial ecosystems via complex hydrological processes. Recently, the decline in central Asian terrestrial water storage (TWS) has threatened the health of local ecosystems. Therefore, it is of great significance to adopt an efficient approach to explore and identify the nonlinear relationship between two important indicators, i.e., the TWSA and normalized difference vegetation index (NDVI) in the arid central Asian endorheic basins. In this study, we analysed the long-term trends of the TWSA and NDVI, and identified the lag month (1 month) as the optimal moving window of the nonlinear Granger causality test embedded in random forest to detect the nonlinear NDVI change response of NDVI changes in vegetation to the TWSA from 2003 to 2015. There are decreasing trends in TWSAs over approximately 81.7% of the study area and the NDVI generally decreased resulting in approximately 36% vegetation browning in the study area. The nonlinear Granger unidirectional causes of the TWSA were responsible for 97.9% of the NDVI variation in the study area considering the optimal response time for moving windows. The causes of vegetation browning in the central Asian Aral Sea basin and vegetation greening in the basins of Northwest China could be mostly explained by the changes in TWS. Our findings contribute to understanding the nonlinear causal linkages between vegetation and the TWSA in endorheic basins, and these findings provide insights for obtaining terrestrial water consumption patterns and water resource management under the joint influence of climate change and human activities. |
| first_indexed | 2024-03-12T00:09:16Z |
| format | Article |
| id | doaj.art-841ccd6ee3944f6daabaef001c73a22c |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-12T00:09:16Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-841ccd6ee3944f6daabaef001c73a22c2023-09-16T05:30:20ZengElsevierEcological Indicators1470-160X2023-10-01154110901Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basinsZongxu Yu0Yichi Zhang1Ping Wang2Jingjie Yu3Tianye Wang4Shangyu Shi5Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Corresponding authors at: Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China.Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaSchool of Water Conservancy and Transportation, Zhengzhou University, 100 Science Avenue, Zhengzhou, Henan 450001, ChinaState Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, 26 Xinong Road, Yangling 712100, Shaanxi Province, China; Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Xinong Road 26, Yangling 712100, Shaanxi Province, ChinaThe terrestrial water storage anomaly (TWSA) is an important parameter for assessing the land water budget, and it interacts well with terrestrial ecosystems via complex hydrological processes. Recently, the decline in central Asian terrestrial water storage (TWS) has threatened the health of local ecosystems. Therefore, it is of great significance to adopt an efficient approach to explore and identify the nonlinear relationship between two important indicators, i.e., the TWSA and normalized difference vegetation index (NDVI) in the arid central Asian endorheic basins. In this study, we analysed the long-term trends of the TWSA and NDVI, and identified the lag month (1 month) as the optimal moving window of the nonlinear Granger causality test embedded in random forest to detect the nonlinear NDVI change response of NDVI changes in vegetation to the TWSA from 2003 to 2015. There are decreasing trends in TWSAs over approximately 81.7% of the study area and the NDVI generally decreased resulting in approximately 36% vegetation browning in the study area. The nonlinear Granger unidirectional causes of the TWSA were responsible for 97.9% of the NDVI variation in the study area considering the optimal response time for moving windows. The causes of vegetation browning in the central Asian Aral Sea basin and vegetation greening in the basins of Northwest China could be mostly explained by the changes in TWS. Our findings contribute to understanding the nonlinear causal linkages between vegetation and the TWSA in endorheic basins, and these findings provide insights for obtaining terrestrial water consumption patterns and water resource management under the joint influence of climate change and human activities.http://www.sciencedirect.com/science/article/pii/S1470160X23010439Endorheic basinTWSANDVINonlinear responseCausality relationship test |
| spellingShingle | Zongxu Yu Yichi Zhang Ping Wang Jingjie Yu Tianye Wang Shangyu Shi Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basins Ecological Indicators Endorheic basin TWSA NDVI Nonlinear response Causality relationship test |
| title | Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basins |
| title_full | Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basins |
| title_fullStr | Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basins |
| title_full_unstemmed | Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basins |
| title_short | Detection of the nonlinear response of vegetation to terrestrial water storage changes in central Asian endorheic basins |
| title_sort | detection of the nonlinear response of vegetation to terrestrial water storage changes in central asian endorheic basins |
| topic | Endorheic basin TWSA NDVI Nonlinear response Causality relationship test |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23010439 |
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