Changes and driving forces analysis of alpine wetlands in the first meander of the Yellow River based on long-term time series remote sensing data
IntroductionAs a vital component of the ecosystem of the Qinghai-Tibet Plateau, alpine wetlands coexist with their vulnerability, sensitivity, and abundant biodiversity, propelling the material cycle and energy flux of the entire plateau ecosystem. In recent decades, climate change and human activit...
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| Format: | Article |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Ecology and Evolution |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fevo.2023.1193059/full |
| _version_ | 1797738209889746944 |
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| author | Rui Jiang Jingfeng Liu Weigang Liu Dongqi Zhang Wenhan Hu |
| author_facet | Rui Jiang Jingfeng Liu Weigang Liu Dongqi Zhang Wenhan Hu |
| author_sort | Rui Jiang |
| collection | DOAJ |
| description | IntroductionAs a vital component of the ecosystem of the Qinghai-Tibet Plateau, alpine wetlands coexist with their vulnerability, sensitivity, and abundant biodiversity, propelling the material cycle and energy flux of the entire plateau ecosystem. In recent decades, climate change and human activities have significantly altered the regional landscape. Monitoring and assessing changes in the alpine wetlands on the Qinghai-Tibet Plateau requires the efficient and accurate collection of long-term information.MethodsHere, we interpreted the remote sensing data of the first meander of the Yellow River of alpine wetlands from 1990 to 2020 based on Google Earth Engine (GEE) platform, using geographic information system (GIS) and landscape pattern index to analyze the spatial and temporal evolution of wetland landscape patterns, and the primary drivers of changes in wetland area were explored by GeoDetector.ResultsOur result showed that most wetland areas were found in regions with gradients less than 12° and elevations between 3315 and 3600 m. From 1990 to 2010, the area of alpine wetland in the study area decreased by 25.43%. During the period between 2010 and 2020 to the 1990s, the wetland area decreased by 322.9 km2. Conversion to and from grassland was the primary form of wetland transfer out and in, respectively. The overall migration of the wetland centroid in the study area was to the southwest between 1990 and 2010 and to the north between 2010 and 2020. The geometry of the wetland landscape was relatively simple, the landscape was relatively intact, and patches retained a high level of agglomeration and connectivity. However, their level of agglomeration and connectivity was disrupted. A quantitative analysis of the factor detector in GeoDetector revealed that the DEM, slope, and evaporation were the most important driving factors influencing the change of wetland area, with socioeconomic development also influencing changes in the wetland area to a lesser extent.DiscussionUsing interaction detectors, it was discovered that the interaction of various driving factors could better explain the long-term variations in wetland areas, with a greater degree of explanation than that of each driving factor alone. |
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| language | English |
| last_indexed | 2024-03-12T13:39:36Z |
| publishDate | 2023-08-01 |
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| series | Frontiers in Ecology and Evolution |
| spelling | doaj.art-be80884d57b8458695cbbfcf23b991e42023-08-23T21:59:30ZengFrontiers Media S.A.Frontiers in Ecology and Evolution2296-701X2023-08-011110.3389/fevo.2023.11930591193059Changes and driving forces analysis of alpine wetlands in the first meander of the Yellow River based on long-term time series remote sensing dataRui Jiang0Jingfeng Liu1Weigang Liu2Dongqi Zhang3Wenhan Hu4College of Geography and Environmental Science, Northwest Normal University, Lanzhou, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou, ChinaInstitute of Arid Meteorology, China Meteorological Administration, Lanzhou, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou, ChinaIntroductionAs a vital component of the ecosystem of the Qinghai-Tibet Plateau, alpine wetlands coexist with their vulnerability, sensitivity, and abundant biodiversity, propelling the material cycle and energy flux of the entire plateau ecosystem. In recent decades, climate change and human activities have significantly altered the regional landscape. Monitoring and assessing changes in the alpine wetlands on the Qinghai-Tibet Plateau requires the efficient and accurate collection of long-term information.MethodsHere, we interpreted the remote sensing data of the first meander of the Yellow River of alpine wetlands from 1990 to 2020 based on Google Earth Engine (GEE) platform, using geographic information system (GIS) and landscape pattern index to analyze the spatial and temporal evolution of wetland landscape patterns, and the primary drivers of changes in wetland area were explored by GeoDetector.ResultsOur result showed that most wetland areas were found in regions with gradients less than 12° and elevations between 3315 and 3600 m. From 1990 to 2010, the area of alpine wetland in the study area decreased by 25.43%. During the period between 2010 and 2020 to the 1990s, the wetland area decreased by 322.9 km2. Conversion to and from grassland was the primary form of wetland transfer out and in, respectively. The overall migration of the wetland centroid in the study area was to the southwest between 1990 and 2010 and to the north between 2010 and 2020. The geometry of the wetland landscape was relatively simple, the landscape was relatively intact, and patches retained a high level of agglomeration and connectivity. However, their level of agglomeration and connectivity was disrupted. A quantitative analysis of the factor detector in GeoDetector revealed that the DEM, slope, and evaporation were the most important driving factors influencing the change of wetland area, with socioeconomic development also influencing changes in the wetland area to a lesser extent.DiscussionUsing interaction detectors, it was discovered that the interaction of various driving factors could better explain the long-term variations in wetland areas, with a greater degree of explanation than that of each driving factor alone.https://www.frontiersin.org/articles/10.3389/fevo.2023.1193059/fullGoogle Earth Enginealpine wetlandslong-term time serieswetland changedriving factor |
| spellingShingle | Rui Jiang Jingfeng Liu Weigang Liu Dongqi Zhang Wenhan Hu Changes and driving forces analysis of alpine wetlands in the first meander of the Yellow River based on long-term time series remote sensing data Frontiers in Ecology and Evolution Google Earth Engine alpine wetlands long-term time series wetland change driving factor |
| title | Changes and driving forces analysis of alpine wetlands in the first meander of the Yellow River based on long-term time series remote sensing data |
| title_full | Changes and driving forces analysis of alpine wetlands in the first meander of the Yellow River based on long-term time series remote sensing data |
| title_fullStr | Changes and driving forces analysis of alpine wetlands in the first meander of the Yellow River based on long-term time series remote sensing data |
| title_full_unstemmed | Changes and driving forces analysis of alpine wetlands in the first meander of the Yellow River based on long-term time series remote sensing data |
| title_short | Changes and driving forces analysis of alpine wetlands in the first meander of the Yellow River based on long-term time series remote sensing data |
| title_sort | changes and driving forces analysis of alpine wetlands in the first meander of the yellow river based on long term time series remote sensing data |
| topic | Google Earth Engine alpine wetlands long-term time series wetland change driving factor |
| url | https://www.frontiersin.org/articles/10.3389/fevo.2023.1193059/full |
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