{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T10:48:17Z","timestamp":1782730097877,"version":"3.54.5"},"reference-count":59,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T00:00:00Z","timestamp":1673395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["41890824"],"award-info":[{"award-number":["41890824"]}]},{"name":"National Natural Science Foundation of China","award":["71804175"],"award-info":[{"award-number":["71804175"]}]},{"name":"National Natural Science Foundation of China","award":["M-0369"],"award-info":[{"award-number":["M-0369"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Ecological environment quality and resilience assessment is an important prerequisite for ensuring the coordination and stability of socio-economic development and eco-environment protection. Remote sensing technology has provided new approaches for quantitatively evaluating regional ecological environment quality and resilience rapidly, accurately, and objectively. Taking the middle and lower reaches of the Yangtze River Economic Belt (YREBML) as an example, to assess ecological environment quality, this study calculated the remote sensing ecological index (RSEI) based on the Google Earth Engine using Moderate Resolution Imaging Spectroradiometer (MODIS) data with a spatial resolution of 500 m during 2000\u20132020. An evaluation index to assess ecological resilience and its spatial pattern based on the RSEI of 2000\u20132020 was then constructed. The evaluation index was constructed from two dimensions, including the sensitivity and adaptability of the RSEI. Finally, this study identified key factors that affect ecological residence based on a structural equation model. The results showed that the overall RSEI was at moderate and good levels in the YREBML during 2000\u20132020, accounting for more than 85% of the total area. Its spatial characteristics showed that the RSEI was higher in the middle reaches than in the lower reaches of the YREB, and higher in the south than in the north. The overall RSEI in the YREBML showed a decreasing trend during 2000\u20132020, with 54.36% of the region improving and 45.64% declining. Areas with declining RSEI were concentrated in Anhui, while the increasing RSEI was observed in Zhejiang. In addition, the spatial pattern of ecological resilience was characterized by high resilience in the north and east, and low resilience in the south and west. High resilience areas accounted for 40.48% of the YREBML, mainly contributed by Jiangxi and Hunan provinces. The driving factors analysis results indicated that economic development, natural disaster risk, and environmental pollution would further affect ecological resilience of urban systems. This study provides more scientific and effective data support for ecological environment monitoring and governance.<\/jats:p>","DOI":"10.3390\/rs15020430","type":"journal-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T03:40:35Z","timestamp":1673408435000},"page":"430","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["Spatial\u2013Temporal Evolutions of Ecological Environment Quality and Ecological Resilience Pattern in the Middle and Lower Reaches of the Yangtze River Economic Belt"],"prefix":"10.3390","volume":"15","author":[{"given":"Lu","family":"Peng","sequence":"first","affiliation":[{"name":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3235-6437","authenticated-orcid":false,"given":"Haowei","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3051-6580","authenticated-orcid":false,"given":"Zhihui","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"117649","DOI":"10.1016\/j.jclepro.2019.117649","article-title":"The effect of urbanization on environmental pollution in rapidly developing urban agglomerations","volume":"237","author":"Liang","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"110239","DOI":"10.1016\/j.rser.2020.110239","article-title":"Ecological effects of new-type urbanization in China","volume":"135","author":"Yu","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"113650","DOI":"10.1016\/j.apenergy.2019.113650","article-title":"Coupling analysis of urbanization and energy-environment efficiency: Evidence from Guangdong province","volume":"254","author":"Wang","year":"2019","journal-title":"Appl. Energy"},{"key":"ref_4","first-page":"1","article-title":"Losses of natural coastal wetlands by land conversion and ecological degradation in the urbanizing Chinese coast","volume":"8","author":"Lin","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"111471","DOI":"10.1016\/j.jenvman.2020.111471","article-title":"Environmental degradation & role of financialisation, economic development, industrialisation and trade liberalisation","volume":"277","author":"Nasir","year":"2021","journal-title":"J. Environ. Manag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.econmod.2019.04.010","article-title":"Energy consumption, economic growth and environmental degradation in OECD countries","volume":"84","author":"Ozcan","year":"2020","journal-title":"Econ. Model"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1038\/s41558-018-0092-2","article-title":"Ecological grief as a mental health response to climate change-related loss","volume":"8","author":"Cunsolo","year":"2018","journal-title":"Nat. Clim. Chang."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"109090","DOI":"10.1016\/j.ecolind.2022.109090","article-title":"Spatiotemporal change of ecologic environment quality and human interaction factors in three gorges ecologic economic corridor, based on RSEI","volume":"141","author":"An","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"103172","DOI":"10.1016\/j.micpro.2020.103172","article-title":"Intelligent based novel embedded system based IoT enabled air pollution monitoring system","volume":"77","author":"Senthilkumar","year":"2020","journal-title":"Microprocess. Microsy."},{"key":"ref_10","first-page":"575","article-title":"Application of water quality index (WQI) and hydro-geochemistry for surface water quality assessment, chahnimeh reservoirs in the Sistan and Baluchestan province","volume":"11","author":"Hosseini","year":"2019","journal-title":"Iran. J. Environ. Health"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"106847","DOI":"10.1016\/j.ecolind.2020.106847","article-title":"Exploration of eco-environment and urbanization changes in coastal zones: A case study in China over the past 20 years","volume":"119","author":"Zheng","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"6941","DOI":"10.1007\/s11356-020-11020-7","article-title":"Evaluating urban resource and environment carrying capacity by using an innovative indicator system based on eco-civilization\u2014A case study of Guiyang","volume":"28","author":"Peng","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"103405","DOI":"10.1016\/j.scs.2021.103405","article-title":"Local and telecoupling coordination degree model of urbanization and the eco-environment based on RS and GIS: A case study in the Wuhan urban agglomeration","volume":"75","author":"Tang","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_14","first-page":"1","article-title":"Eco-environmental assessment model of the mining area in Gongyi, China","volume":"11","author":"Wang","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_15","first-page":"100791","article-title":"Eco-environment vulnerability assessment using remote sensing approach in East Kalimantan, Indonesia","volume":"27","author":"Kurniawan","year":"2022","journal-title":"Remote Sens. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"133928","DOI":"10.1016\/j.scitotenv.2019.133928","article-title":"Ecological environment assessment based on land use simulation: A case study in the Heihe River Basin","volume":"697","author":"Wang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Liao, W., and Jiang, W. (2020). Evaluation of the spatiotemporal variations in the eco-environmental quality in China based on the remote sensing ecological index. Remote Sens., 12.","DOI":"10.3390\/rs12152462"},{"key":"ref_18","first-page":"100530","article-title":"Eco-environmental quality assessment based on pressure-state-response framework by remote sensing and GIS","volume":"23","author":"Boori","year":"2021","journal-title":"Remote Sens. Appl."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Orusa, T., Orusa, R., Viani, A., Carella, E., and Borgogno Mondino, E. (2020). Geomatics and EO data to support wildlife diseases assessment at landscape level: A pilot experience to map infectious keratoconjunctivitis in chamois and phenological trends in Aosta Valley (NW Italy). Remote Sens. Appl., 12.","DOI":"10.3390\/rs12213542"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1007\/s12524-022-01522-x","article-title":"GIS-Based Water Budget Estimation of the Kizilirmak River Basin using GLDAS-2.1 Noah and CLSM Models and Remote Sensing Observations","volume":"50","author":"Deliry","year":"2022","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Ye, Z., Chen, S., Zhang, Q., Liu, Y., and Zhou, H. (2022). Ecological Water Demand of Taitema Lake in the Lower Reaches of the Tarim River and the Cherchen River. Remote Sens. Appl., 14.","DOI":"10.3390\/rs14040832"},{"key":"ref_22","first-page":"889","article-title":"A remote sensing index for assessment of regional ecological changes","volume":"33","author":"Xu","year":"2013","journal-title":"China Environ. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Xu, H., Wang, Y., Guan, H., Shi, T., and Hu, X. (2019). Detecting ecological changes with a remote sensing based ecological index (RSEI) produced time series and change vector analysis. Remote Sens., 11.","DOI":"10.3390\/rs11202345"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"106268","DOI":"10.1016\/j.resconrec.2022.106268","article-title":"Integrated social-ecological-infrastructural management for urban resilience","volume":"181","author":"Chen","year":"2022","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1146\/annurev.es.04.110173.000245","article-title":"Resilience and stability of ecological systems","volume":"4","author":"Holling","year":"1973","journal-title":"Annu. Rev. Ecol. Syst."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1216","DOI":"10.1177\/0007650320935015","article-title":"Linking sustainable business models to socio-ecological resilience through cross-sector partnerships: A complex adaptive systems view","volume":"60","author":"Dentoni","year":"2021","journal-title":"Bus. Soc."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"100973","DOI":"10.1016\/j.ecoser.2019.100973","article-title":"Environmental change, urbanisation, and socio-ecological resilience in the Pacific: Community narratives from Port Vila, Vanuatu","volume":"39","author":"Trundle","year":"2019","journal-title":"Ecosyst. Serv."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.worlddev.2019.05.011","article-title":"Properties and projects: Reconciling resilience and transformation for adaptation and development","volume":"122","author":"Carr","year":"2019","journal-title":"World Dev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.ress.2019.03.007","article-title":"Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models","volume":"188","author":"Goldbeck","year":"2019","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.apenergy.2018.06.075","article-title":"Sustainability of integrated energy systems: A performance-based resilience assessment methodology","volume":"228","author":"Moslehi","year":"2018","journal-title":"Appl. Energy"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2105","DOI":"10.1007\/s11069-020-04478-8","article-title":"Integrated Natural Disasters Urban Resilience Evaluation: The Case of China","volume":"107","author":"Liu","year":"2021","journal-title":"Nat. Hazards"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1007\/s11442-022-1935-3","article-title":"The coupling relationship between urbanization and ecological resilience in the Pearl River Delta","volume":"32","author":"Wang","year":"2022","journal-title":"J. Geogr. Sci."},{"key":"ref_33","first-page":"365","article-title":"Estimation on wetland loss and its restoration potential in Modern Yellow River Delta, Shandong Province of China. Chinese Chin","volume":"13","author":"Zhang","year":"2015","journal-title":"J. Popul. Resour."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"C\u00f4t\u00e9, I.M., and Darling, E.S. (2010). Rethinking Ecosystem Resilience in the Face of Climate Change. PLoS Biol., 8.","DOI":"10.1371\/journal.pbio.1000438"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"105843","DOI":"10.1016\/j.ecolind.2019.105843","article-title":"Ecological resilience assessment of an arid coal mining area using index of entropy and linear weighted analysis: A case study of Shendong Coalfield, China","volume":"109","author":"Xiao","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1111\/cobi.12989","article-title":"Mapping social\u2013ecological vulnerability to inform local decision making","volume":"32","author":"Thiault","year":"2018","journal-title":"Conserv. Biol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"147078","DOI":"10.1016\/j.scitotenv.2021.147078","article-title":"Assessing social-ecological vulnerability of coastal systems to fishing and tourism","volume":"784","author":"Lazzari","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1016\/j.ecolecon.2008.09.013","article-title":"Critical natural capital revisited: Ecological resilience and sustainable development","volume":"68","author":"Brand","year":"2009","journal-title":"Ecol. Econ."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Shi, C., Zhu, X., Wu, H., and Li, Z. (2022). Assessment of Urban Ecological Resilience and Its Influencing Factors: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration of China. Land, 11.","DOI":"10.3390\/land11060921"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1186\/s13717-016-0063-3","article-title":"Applications of structural equation modeling (SEM) in ecological studies: An updated review","volume":"5","author":"Fan","year":"2016","journal-title":"Ecol. Process."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Zhang, H. (2022). Structural Equation Modeling. Models and Methods for Management Science, Springer.","DOI":"10.1007\/978-981-19-1614-4_10"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"102206","DOI":"10.1016\/j.ijdrr.2021.102206","article-title":"Evaluating disaster prevention benefits of underground space from the perspective of urban resilience","volume":"58","author":"Liu","year":"2021","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"126995","DOI":"10.1016\/j.jclepro.2021.126995","article-title":"Spatiotemporal change detection of ecological quality and the associated affecting factors in Dongting Lake Basin, based on RSEI","volume":"302","author":"Yuan","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"6898","DOI":"10.1007\/s11356-020-11051-0","article-title":"Study on coupling coordination and spatiotemporal heterogeneity between economic development and ecological environment of cities along the Yellow River Basin","volume":"28","author":"Liu","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"106954","DOI":"10.1016\/j.eiar.2022.106954","article-title":"The multidimensional differences and driving forces of ecological environment resilience in China","volume":"98","author":"Li","year":"2023","journal-title":"Environ. Impact Assess."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.gloplacha.2018.10.001","article-title":"Observed trends in temperature and rainfall in Bangladesh using pre-whitening approach","volume":"172","author":"Mullick","year":"2019","journal-title":"Glob. Planet. Chang."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Al-Hedny, S.M., and Muhaimeed, A.S. (2020). Drought monitoring for Northern Part of Iraq using temporal NDVI and rainfall indices. Environmental Remote Sensing and GIS in Iraq, Springer.","DOI":"10.1007\/978-3-030-21344-2_13"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"65832","DOI":"10.1007\/s11356-021-15547-1","article-title":"Geographical indication agricultural products, livelihood capital, and resilience to meteorological disasters: Evidence from kiwifruit farmers in China","volume":"28","author":"Qin","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"4249","DOI":"10.1109\/TPWRS.2019.2913090","article-title":"Resiliency assessment in distribution networks using GIS-based predictive risk analytics","volume":"34","author":"Mantovani","year":"2019","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"104625","DOI":"10.1016\/j.jaridenv.2021.104625","article-title":"Assessment of ecosystem resilience in Central Asia","volume":"195","author":"Qin","year":"2021","journal-title":"J. Arid Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"103344","DOI":"10.1016\/j.ijdrr.2022.103344","article-title":"Measurement of urban flood resilience using a quantitative model based on the correlation of vulnerability and resilience","volume":"82","author":"Sun","year":"2022","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"106331","DOI":"10.1016\/j.ecolind.2020.106331","article-title":"Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data","volume":"114","author":"Ariken","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Gao, W., Zhang, S., Rao, X., Lin, X., and Li, R. (2021). Landsat TM\/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section. Remote Sens., 13.","DOI":"10.3390\/rs13214477"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"107518","DOI":"10.1016\/j.ecolind.2021.107518","article-title":"Assessment of spatial\u2013temporal changes of ecological environment quality based on RSEI and GEE: A case study in Erhai Lake Basin, Yunnan province, China","volume":"125","author":"Xiong","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"112138","DOI":"10.1016\/j.jenvman.2021.112138","article-title":"Spatiotemporal ecological vulnerability analysis with statistical correlation based on satellite remote sensing in Samara, Russia","volume":"285","author":"Boori","year":"2021","journal-title":"J. Environ. Manag."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Zhang, S., Yang, P., Xia, J., Qi, K., Wang, W., Cai, W., and Chen, N. (2021). Research and analysis of ecological environment quality in the Middle Reaches of the Yangtze River Basin between 2000 and 2019. Remote Sens., 13.","DOI":"10.3390\/rs13214475"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"108214","DOI":"10.1016\/j.ecolind.2021.108214","article-title":"Spatiotemporal change and driving factors of the Eco-Environment quality in the Yangtze River Basin from 2001 to 2019","volume":"131","author":"Yang","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"102293","DOI":"10.1016\/j.apgeog.2020.102293","article-title":"Predicting the joint effects of future climate and land use change on ecosystem health in the Middle Reaches of the Yangtze River Economic Belt, China","volume":"124","author":"Pan","year":"2020","journal-title":"Appl. Geogr."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"145927","DOI":"10.1016\/j.scitotenv.2021.145927","article-title":"Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt cities","volume":"775","author":"Li","year":"2021","journal-title":"Sci. Total Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/2\/430\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:06:36Z","timestamp":1760119596000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/2\/430"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,11]]},"references-count":59,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,1]]}},"alternative-id":["rs15020430"],"URL":"https:\/\/doi.org\/10.3390\/rs15020430","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,11]]}}}