Wenwen Gao , Zuoyong Huang , Xiuzhong Li , Baocun Ji , Na Li , Senyang Li , Xingyu Liu , Qingwei Zeng , Guangnian Sun , Dan Zhao
{"title":"基于遥感的五梁素海流域荒漠化时空变化及驱动因素研究","authors":"Wenwen Gao , Zuoyong Huang , Xiuzhong Li , Baocun Ji , Na Li , Senyang Li , Xingyu Liu , Qingwei Zeng , Guangnian Sun , Dan Zhao","doi":"10.1016/j.ecolind.2024.112851","DOIUrl":null,"url":null,"abstract":"<div><div>Wuliangsuhai watershed is a large freshwater lake in Hulunbuir City, Inner Mongolia Autonomous Region, with important ecological, cultural and economic values. Based on the Landsat 8 OLI remote sensing images, this study used the object-oriented CART decision tree to map the land cover, the pixel dichotomy model to estimate the FVC and Albedo-NDVI formula to estimate DDI in the Wuliangsuhai watershed in 2020, 2021 and 2022. Besides, Geo-informatic tupu and geographical detector model were also used to analysis the changing patterns and drivers of desertification. The results indicated a decline in desertification in the Wuliangsuhai watershed from 2020 to 2022. The area of barren lands exhibited a 17.41% reduction with a 37.78% decline in the FVC in the no vegetation class. The area of the DDI in the no desertification level increased, while that of the extremely severe desertification level decreased. Furthermore, the geo-informatic tupu indicated that the desertification improvement area showed consistent growth during the study period. However, a considerable proportion of the grasslands (32.73%) remained degraded, and the area of FVC in the moderately dense vegetation class exhibited a notable decline (21.32%). And the area affected by severe desertification level of DDI increased. This can be attributed to a combination of climatic, ecosystem conditions and human impacts. In particular, the reduction in precipitation, coupled with the steep slopes and negative human activities, has accelerated the desertification process. Consequently, this study provides recommendations for policy makers to prioritize negative human activities and soil erosion in the Wuliangsuhai watershed.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"169 ","pages":"Article 112851"},"PeriodicalIF":7.0000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The spatial–temporal changes and driving factors of desertification in the Wuliangsuhai watershed based on remote sensing\",\"authors\":\"Wenwen Gao , Zuoyong Huang , Xiuzhong Li , Baocun Ji , Na Li , Senyang Li , Xingyu Liu , Qingwei Zeng , Guangnian Sun , Dan Zhao\",\"doi\":\"10.1016/j.ecolind.2024.112851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Wuliangsuhai watershed is a large freshwater lake in Hulunbuir City, Inner Mongolia Autonomous Region, with important ecological, cultural and economic values. Based on the Landsat 8 OLI remote sensing images, this study used the object-oriented CART decision tree to map the land cover, the pixel dichotomy model to estimate the FVC and Albedo-NDVI formula to estimate DDI in the Wuliangsuhai watershed in 2020, 2021 and 2022. Besides, Geo-informatic tupu and geographical detector model were also used to analysis the changing patterns and drivers of desertification. The results indicated a decline in desertification in the Wuliangsuhai watershed from 2020 to 2022. The area of barren lands exhibited a 17.41% reduction with a 37.78% decline in the FVC in the no vegetation class. The area of the DDI in the no desertification level increased, while that of the extremely severe desertification level decreased. Furthermore, the geo-informatic tupu indicated that the desertification improvement area showed consistent growth during the study period. However, a considerable proportion of the grasslands (32.73%) remained degraded, and the area of FVC in the moderately dense vegetation class exhibited a notable decline (21.32%). And the area affected by severe desertification level of DDI increased. This can be attributed to a combination of climatic, ecosystem conditions and human impacts. In particular, the reduction in precipitation, coupled with the steep slopes and negative human activities, has accelerated the desertification process. Consequently, this study provides recommendations for policy makers to prioritize negative human activities and soil erosion in the Wuliangsuhai watershed.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"169 \",\"pages\":\"Article 112851\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X24013086\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X24013086","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
The spatial–temporal changes and driving factors of desertification in the Wuliangsuhai watershed based on remote sensing
Wuliangsuhai watershed is a large freshwater lake in Hulunbuir City, Inner Mongolia Autonomous Region, with important ecological, cultural and economic values. Based on the Landsat 8 OLI remote sensing images, this study used the object-oriented CART decision tree to map the land cover, the pixel dichotomy model to estimate the FVC and Albedo-NDVI formula to estimate DDI in the Wuliangsuhai watershed in 2020, 2021 and 2022. Besides, Geo-informatic tupu and geographical detector model were also used to analysis the changing patterns and drivers of desertification. The results indicated a decline in desertification in the Wuliangsuhai watershed from 2020 to 2022. The area of barren lands exhibited a 17.41% reduction with a 37.78% decline in the FVC in the no vegetation class. The area of the DDI in the no desertification level increased, while that of the extremely severe desertification level decreased. Furthermore, the geo-informatic tupu indicated that the desertification improvement area showed consistent growth during the study period. However, a considerable proportion of the grasslands (32.73%) remained degraded, and the area of FVC in the moderately dense vegetation class exhibited a notable decline (21.32%). And the area affected by severe desertification level of DDI increased. This can be attributed to a combination of climatic, ecosystem conditions and human impacts. In particular, the reduction in precipitation, coupled with the steep slopes and negative human activities, has accelerated the desertification process. Consequently, this study provides recommendations for policy makers to prioritize negative human activities and soil erosion in the Wuliangsuhai watershed.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.