{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:36:46Z","timestamp":1760146606020,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T00:00:00Z","timestamp":1732147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources","award":["2023NGCM05","CX2022Z23"],"award-info":[{"award-number":["2023NGCM05","CX2022Z23"]}]},{"name":"Changjiang Survey, Planning, Design and Research Co., Ltd","award":["2023NGCM05","CX2022Z23"],"award-info":[{"award-number":["2023NGCM05","CX2022Z23"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Urbanization, as an important engine of modernization, plays an important role in promoting regional economy and improving living standards. Nevertheless, unchecked urban expansion over recent decades has strained natural resources and the environment, leading to crises, especially in densely populated urban areas that act as ecological barriers within river basins. The investigation of the interactive coercive relationship between the urbanization level (UL) and eco-environmental quality (EEQ) can facilitate the identification of sustainable pathways towards regional sustainability. Therefore, this study employed a set of multidisciplinary approaches, integrating simple linear regression, bivariate spatial autocorrelation, and coupling coordination degree (CCD) models, alongside multi-source remote sensing data to analyze the interactive coercive relationship between UL and EEQ in the Yangtze and Yellow River basins (YYRBs) in China. Key findings included a 6.97% improvement in EEQ in the Yellow River basin (YLRB) from 2001 to 2020, with higher values in the southeastern and southwestern regions and lower values in the central region, while the Yangtze River basin (YTRB) saw only a 1.28% increase, characterized by a lower EEQ in the west and higher levels in the middle and east, although the Yangtze River Delta showed a decline and significant variation among tributaries. UL rose steadily in both basins, especially in the middle reaches of the YLRB. Spatial autocorrelation analysis revealed a positive correlation between UL and EEQ in the YLRB, whereas a negative correlation was found in the YTRB. The CCD between UL and EEQ in the YYRBs improved, particularly in the middle and lower reaches, indicating the need for integrated urban development strategies that consider regional ecological capacities. These findings provided a scientific basis for ecological protection and sustainable urban development at a large river basin scale.<\/jats:p>","DOI":"10.3390\/rs16234353","type":"journal-article","created":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T12:25:42Z","timestamp":1732191942000},"page":"4353","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Identifying the Interactive Coercive Relationships Between Urbanization and Eco-Environmental Quality in the Yangtze and Yellow River Basins, China"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5294-8600","authenticated-orcid":false,"given":"Liang","family":"Zheng","sequence":"first","affiliation":[{"name":"Changjiang Survey, Planning, Design and Research Co., Ltd., Wuhan 430014, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiahui","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9168-1654","authenticated-orcid":false,"given":"Qian","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianpeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Changjiang Survey, Planning, Design and Research Co., Ltd., Wuhan 430014, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3488-4380","authenticated-orcid":false,"given":"Wanxu","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1758-7410","authenticated-orcid":false,"given":"Sipei","family":"Pan","sequence":"additional","affiliation":[{"name":"College of Land Management, Nanjing Agricultural University, Nanjing 210095, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1016\/j.foar.2024.03.009","article-title":"Quantifying the link between industrialization, urbanization, and economic growth over Kenya","volume":"13","author":"Kyule","year":"2024","journal-title":"Front. 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