Anting Du , Siqin Tong , Jinyuan Ren , Gang Bao , Xiaojun Huang , Yuhai Bao , Dorjsuren Altantuya , Chunlan Li
{"title":"内蒙古锡林郭勒地区土地利用变化碳排放时空分异及影响因素","authors":"Anting Du , Siqin Tong , Jinyuan Ren , Gang Bao , Xiaojun Huang , Yuhai Bao , Dorjsuren Altantuya , Chunlan Li","doi":"10.1016/j.ecolind.2025.113633","DOIUrl":null,"url":null,"abstract":"<div><div>Land use carbon emissions (LUCE) play a critical role in sustainable regional development. As a key coal production base and ecological barrier in northern China, the Xilingol League faces pressing challenges in balancing LUCE with sustainability objectives. However, substantial knowledge gaps remain regarding spatiotemporal dynamics and driving mechanisms of LUCE in mining-grassland transition zones. This study integrated multi-temporal remote sensing data (1990–2020, 30 m resolution) with socioeconomic statistics and applied the Hasse Diagram Technique (HDT) to analyze carbon emission drivers in this ecologically fragile region. The results yielded three key findings: (1) built-up areas expanded by 2.4 times, becoming the dominant carbon source, while the high- and moderate-coverage grasslands declined significantly; (2) LUCE exhibited the distinct spatiotemporal patterns, remaining stable and low from 1990 to 2000 but increasing rapidly from 2000 to 2020, with the spatial distribution demonstrating the “east-high, west-low; south-high, and north-low” pattern and the emissions consistently concentrated in or near Xilinhot City; and (3) the influence of drivers shifted over time, with the biological disturbances becoming increasingly prominent, while the impacts of urbanization, industrialization, and economic factors declined after 2000. This study offers practical insights into LUCE dynamics in the Xilingol League and provides scientific support for the development of regional carbon reduction and ecological conservation policies.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"176 ","pages":"Article 113633"},"PeriodicalIF":7.0000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatio-temporal variation and influencing factors of carbon emissions from land use change in Xilingol region of Inner Mongolia, China\",\"authors\":\"Anting Du , Siqin Tong , Jinyuan Ren , Gang Bao , Xiaojun Huang , Yuhai Bao , Dorjsuren Altantuya , Chunlan Li\",\"doi\":\"10.1016/j.ecolind.2025.113633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Land use carbon emissions (LUCE) play a critical role in sustainable regional development. As a key coal production base and ecological barrier in northern China, the Xilingol League faces pressing challenges in balancing LUCE with sustainability objectives. However, substantial knowledge gaps remain regarding spatiotemporal dynamics and driving mechanisms of LUCE in mining-grassland transition zones. This study integrated multi-temporal remote sensing data (1990–2020, 30 m resolution) with socioeconomic statistics and applied the Hasse Diagram Technique (HDT) to analyze carbon emission drivers in this ecologically fragile region. The results yielded three key findings: (1) built-up areas expanded by 2.4 times, becoming the dominant carbon source, while the high- and moderate-coverage grasslands declined significantly; (2) LUCE exhibited the distinct spatiotemporal patterns, remaining stable and low from 1990 to 2000 but increasing rapidly from 2000 to 2020, with the spatial distribution demonstrating the “east-high, west-low; south-high, and north-low” pattern and the emissions consistently concentrated in or near Xilinhot City; and (3) the influence of drivers shifted over time, with the biological disturbances becoming increasingly prominent, while the impacts of urbanization, industrialization, and economic factors declined after 2000. This study offers practical insights into LUCE dynamics in the Xilingol League and provides scientific support for the development of regional carbon reduction and ecological conservation policies.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"176 \",\"pages\":\"Article 113633\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-05-27\",\"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/S1470160X25005631\",\"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/S1470160X25005631","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}
Spatio-temporal variation and influencing factors of carbon emissions from land use change in Xilingol region of Inner Mongolia, China
Land use carbon emissions (LUCE) play a critical role in sustainable regional development. As a key coal production base and ecological barrier in northern China, the Xilingol League faces pressing challenges in balancing LUCE with sustainability objectives. However, substantial knowledge gaps remain regarding spatiotemporal dynamics and driving mechanisms of LUCE in mining-grassland transition zones. This study integrated multi-temporal remote sensing data (1990–2020, 30 m resolution) with socioeconomic statistics and applied the Hasse Diagram Technique (HDT) to analyze carbon emission drivers in this ecologically fragile region. The results yielded three key findings: (1) built-up areas expanded by 2.4 times, becoming the dominant carbon source, while the high- and moderate-coverage grasslands declined significantly; (2) LUCE exhibited the distinct spatiotemporal patterns, remaining stable and low from 1990 to 2000 but increasing rapidly from 2000 to 2020, with the spatial distribution demonstrating the “east-high, west-low; south-high, and north-low” pattern and the emissions consistently concentrated in or near Xilinhot City; and (3) the influence of drivers shifted over time, with the biological disturbances becoming increasingly prominent, while the impacts of urbanization, industrialization, and economic factors declined after 2000. This study offers practical insights into LUCE dynamics in the Xilingol League and provides scientific support for the development of regional carbon reduction and ecological conservation policies.
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.