Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China
Amidst the backdrop of global climate change, it is imperative to comprehend the intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across various timescales remain unclear. We employed th...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1323445/full |
| _version_ | 1797205900795052032 |
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| author | Xiangyu Ge Xiangyu Ge Xiangyu Ge Jianli Ding Jianli Ding Jianli Ding Nigenare Amantai Ju Xiong Ju Xiong Ju Xiong Jingzhe Wang Jingzhe Wang |
| author_facet | Xiangyu Ge Xiangyu Ge Xiangyu Ge Jianli Ding Jianli Ding Jianli Ding Nigenare Amantai Ju Xiong Ju Xiong Ju Xiong Jingzhe Wang Jingzhe Wang |
| author_sort | Xiangyu Ge |
| collection | DOAJ |
| description | Amidst the backdrop of global climate change, it is imperative to comprehend the intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across various timescales remain unclear. We employed the Ensemble Empirical Mode Decomposition (EEMD) method to analyze the multifaceted dynamics of surface water and vegetation in the Bosten Lake Watershed across multiple temporal scales. This analysis has shed light on how these elements interact with climate change, revealing significant insights. From March to October, approximately 14.9–16.8% of the areas with permanent water were susceptible to receding and drying up. Both the annual and monthly values of Bosten Lake’s level and area exhibited a trend of initial decline followed by an increase, reaching their lowest point in 2013 (1,045.0 m and 906.6 km2, respectively). Approximately 7.7% of vegetated areas showed a significant increase in the Normalized Difference Vegetation Index (NDVI). NDVI volatility was observed in 23.4% of vegetated areas, primarily concentrated in the southern part of the study area and near Lake Bosten. Regarding the annual components (6 < T < 24 months), temperature, 3-month cumulative NDVI, and 3-month-leading precipitation exhibited the strongest correlation with changes in water level and surface area. For the interannual components (T≥ 24 months), NDVI, 3-month cumulative precipitation, and 3-month-leading temperature displayed the most robust correlation with alterations in water level and surface area. In both components, NDVI had a negative impact on Bosten Lake’s water level and surface area, while temperature and precipitation exerted positive effects. Through comparative analysis, this study reveals the importance of temporal periodicity in developing adaptive strategies for achieving Sustainable Development Goals in dryland watersheds. This study introduces a robust methodology for dissecting trends within scale components of lake level and surface area and links these trends to climate variations and NDVI changes across different temporal scales. The inherent correlations uncovered in this research can serve as valuable guidance for future investigations into surface water dynamics in arid regions. |
| first_indexed | 2024-04-24T08:58:28Z |
| format | Article |
| id | doaj.art-4dfbe0b4bb4c473bb0e2196c205bf7bf |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-24T08:58:28Z |
| publishDate | 2024-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-4dfbe0b4bb4c473bb0e2196c205bf7bf2024-04-16T04:38:25ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2024-04-011510.3389/fpls.2024.13234451323445Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW ChinaXiangyu Ge0Xiangyu Ge1Xiangyu Ge2Jianli Ding3Jianli Ding4Jianli Ding5Nigenare Amantai6Ju Xiong7Ju Xiong8Ju Xiong9Jingzhe Wang10Jingzhe Wang11College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, ChinaXinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, ChinaKey Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, ChinaCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, ChinaXinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, ChinaKey Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, ChinaInstitute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, ChinaCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, ChinaXinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, ChinaKey Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, ChinaInstitute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic University, Shenzhen, ChinaSchool of Artificial Intelligence, Shenzhen Polytechnic University, Shenzhen, ChinaAmidst the backdrop of global climate change, it is imperative to comprehend the intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across various timescales remain unclear. We employed the Ensemble Empirical Mode Decomposition (EEMD) method to analyze the multifaceted dynamics of surface water and vegetation in the Bosten Lake Watershed across multiple temporal scales. This analysis has shed light on how these elements interact with climate change, revealing significant insights. From March to October, approximately 14.9–16.8% of the areas with permanent water were susceptible to receding and drying up. Both the annual and monthly values of Bosten Lake’s level and area exhibited a trend of initial decline followed by an increase, reaching their lowest point in 2013 (1,045.0 m and 906.6 km2, respectively). Approximately 7.7% of vegetated areas showed a significant increase in the Normalized Difference Vegetation Index (NDVI). NDVI volatility was observed in 23.4% of vegetated areas, primarily concentrated in the southern part of the study area and near Lake Bosten. Regarding the annual components (6 < T < 24 months), temperature, 3-month cumulative NDVI, and 3-month-leading precipitation exhibited the strongest correlation with changes in water level and surface area. For the interannual components (T≥ 24 months), NDVI, 3-month cumulative precipitation, and 3-month-leading temperature displayed the most robust correlation with alterations in water level and surface area. In both components, NDVI had a negative impact on Bosten Lake’s water level and surface area, while temperature and precipitation exerted positive effects. Through comparative analysis, this study reveals the importance of temporal periodicity in developing adaptive strategies for achieving Sustainable Development Goals in dryland watersheds. This study introduces a robust methodology for dissecting trends within scale components of lake level and surface area and links these trends to climate variations and NDVI changes across different temporal scales. The inherent correlations uncovered in this research can serve as valuable guidance for future investigations into surface water dynamics in arid regions.https://www.frontiersin.org/articles/10.3389/fpls.2024.1323445/fullsurface waterNDVIspatiotemporal variationstime-lag effectEEMDBosten Lake |
| spellingShingle | Xiangyu Ge Xiangyu Ge Xiangyu Ge Jianli Ding Jianli Ding Jianli Ding Nigenare Amantai Ju Xiong Ju Xiong Ju Xiong Jingzhe Wang Jingzhe Wang Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China Frontiers in Plant Science surface water NDVI spatiotemporal variations time-lag effect EEMD Bosten Lake |
| title | Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China |
| title_full | Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China |
| title_fullStr | Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China |
| title_full_unstemmed | Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China |
| title_short | Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China |
| title_sort | responses of vegetation cover to hydro climatic variations in bosten lake watershed nw china |
| topic | surface water NDVI spatiotemporal variations time-lag effect EEMD Bosten Lake |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2024.1323445/full |
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