Chenli Liu , Yawen Li , Daming He , Bowen Deng , Enwei Zhang , Shengzhao Wei , Xingwu Duan
{"title":"大湄公河次区域生态环境质量动态监测:演变特征和国家差异","authors":"Chenli Liu , Yawen Li , Daming He , Bowen Deng , Enwei Zhang , Shengzhao Wei , Xingwu Duan","doi":"10.1016/j.eiar.2024.107700","DOIUrl":null,"url":null,"abstract":"<div><div>As a global hotspot of biodiversity and conservation, eco-environmental changes in the Greater Mekong Subregion (GMS) are crucial to achieving global Sustainable Development Goals. However, the eco-environmental status of the GMS and its development trends remain unclear. In this study, we proposed an improved remote sensing ecological index (IRSEI) to assess eco-environmental quality (EQ) by integrating habitat quality into the remote sensing ecological index (RSEI) to consider the vegetation characteristics of the GMS. We then applied trend analysis and Hurst exponent analysis to explore the past and future spatiotemporal dynamic changes of EQ in the GMS. Our study revealed that the IRSEI exhibited better monitoring accuracy than the RSEI and could comprehensively and effectively evaluate the EQ of the GMS. Overall, more than 80 % of the GMS by area had moderate or greater EQ levels during the period 2000–2020. Good and excellent EQ levels were predominantly located in the southwestern Yunnan Province of China, northeastern Myanmar, Laos, and western Vietnam. From 2000 to 2020, the annual mean IRSEI value in the GMS exhibited an increasing trend (0.10 %/year), with the area of increased EQ concentrated in Yunnan Province and Myanmar. Additionally, the center of gravity of the IRSEI in the GMS showed an obvious migration to the northwest over the studied period. A total of 60.81 % of the study area exhibited Hurst values lower than 0.5, indicating anti-persistent changes in EQ over the past 21 years. Furthermore, the area in which the EQ was predicted to decrease was larger than that of predicted EQ improvement. Overall, these outcomes provide an important reference and new perspectives on eco-environmental protection in the GMS.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"110 ","pages":"Article 107700"},"PeriodicalIF":9.8000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic monitoring of eco-environmental quality in the Greater Mekong Subregion: Evolutionary characteristics and country differences\",\"authors\":\"Chenli Liu , Yawen Li , Daming He , Bowen Deng , Enwei Zhang , Shengzhao Wei , Xingwu Duan\",\"doi\":\"10.1016/j.eiar.2024.107700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>As a global hotspot of biodiversity and conservation, eco-environmental changes in the Greater Mekong Subregion (GMS) are crucial to achieving global Sustainable Development Goals. However, the eco-environmental status of the GMS and its development trends remain unclear. In this study, we proposed an improved remote sensing ecological index (IRSEI) to assess eco-environmental quality (EQ) by integrating habitat quality into the remote sensing ecological index (RSEI) to consider the vegetation characteristics of the GMS. We then applied trend analysis and Hurst exponent analysis to explore the past and future spatiotemporal dynamic changes of EQ in the GMS. Our study revealed that the IRSEI exhibited better monitoring accuracy than the RSEI and could comprehensively and effectively evaluate the EQ of the GMS. Overall, more than 80 % of the GMS by area had moderate or greater EQ levels during the period 2000–2020. Good and excellent EQ levels were predominantly located in the southwestern Yunnan Province of China, northeastern Myanmar, Laos, and western Vietnam. From 2000 to 2020, the annual mean IRSEI value in the GMS exhibited an increasing trend (0.10 %/year), with the area of increased EQ concentrated in Yunnan Province and Myanmar. Additionally, the center of gravity of the IRSEI in the GMS showed an obvious migration to the northwest over the studied period. A total of 60.81 % of the study area exhibited Hurst values lower than 0.5, indicating anti-persistent changes in EQ over the past 21 years. Furthermore, the area in which the EQ was predicted to decrease was larger than that of predicted EQ improvement. Overall, these outcomes provide an important reference and new perspectives on eco-environmental protection in the GMS.</div></div>\",\"PeriodicalId\":309,\"journal\":{\"name\":\"Environmental Impact Assessment Review\",\"volume\":\"110 \",\"pages\":\"Article 107700\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2024-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Impact Assessment Review\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0195925524002877\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Impact Assessment Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195925524002877","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Dynamic monitoring of eco-environmental quality in the Greater Mekong Subregion: Evolutionary characteristics and country differences
As a global hotspot of biodiversity and conservation, eco-environmental changes in the Greater Mekong Subregion (GMS) are crucial to achieving global Sustainable Development Goals. However, the eco-environmental status of the GMS and its development trends remain unclear. In this study, we proposed an improved remote sensing ecological index (IRSEI) to assess eco-environmental quality (EQ) by integrating habitat quality into the remote sensing ecological index (RSEI) to consider the vegetation characteristics of the GMS. We then applied trend analysis and Hurst exponent analysis to explore the past and future spatiotemporal dynamic changes of EQ in the GMS. Our study revealed that the IRSEI exhibited better monitoring accuracy than the RSEI and could comprehensively and effectively evaluate the EQ of the GMS. Overall, more than 80 % of the GMS by area had moderate or greater EQ levels during the period 2000–2020. Good and excellent EQ levels were predominantly located in the southwestern Yunnan Province of China, northeastern Myanmar, Laos, and western Vietnam. From 2000 to 2020, the annual mean IRSEI value in the GMS exhibited an increasing trend (0.10 %/year), with the area of increased EQ concentrated in Yunnan Province and Myanmar. Additionally, the center of gravity of the IRSEI in the GMS showed an obvious migration to the northwest over the studied period. A total of 60.81 % of the study area exhibited Hurst values lower than 0.5, indicating anti-persistent changes in EQ over the past 21 years. Furthermore, the area in which the EQ was predicted to decrease was larger than that of predicted EQ improvement. Overall, these outcomes provide an important reference and new perspectives on eco-environmental protection in the GMS.
期刊介绍:
Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.