{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T04:46:36Z","timestamp":1768279596270,"version":"3.49.0"},"reference-count":60,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T00:00:00Z","timestamp":1669680000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971352"],"award-info":[{"award-number":["41971352"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["16000009"],"award-info":[{"award-number":["16000009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["16000011"],"award-info":[{"award-number":["16000011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["16000012"],"award-info":[{"award-number":["16000012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Large Scale Environment Remote Sensing Platform","award":["41971352"],"award-info":[{"award-number":["41971352"]}]},{"name":"Large Scale Environment Remote Sensing Platform","award":["16000009"],"award-info":[{"award-number":["16000009"]}]},{"name":"Large Scale Environment Remote Sensing Platform","award":["16000011"],"award-info":[{"award-number":["16000011"]}]},{"name":"Large Scale Environment Remote Sensing Platform","award":["16000012"],"award-info":[{"award-number":["16000012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Rapid industrialization and urbanization have accelerated land-use changes in mountainous areas, with dramatic impacts on ecosystem health. In particular, the Qinling-Daba Mountains, as China\u2019s central water tower, ecological green lung, and biological gene bank, have rich resource endowments and extremely high ecological value and are an important protective wall to China\u2019s ecological security. Therefore, understanding the level of ecosystem health and its drivers in the research area contributes to the conservation and restoration of the mountain ecosystem. Based on remote sensing image data and land-use data from 2000 to 2020, we explored the spatial characteristics of ecosystem health, and supplemented with socio-economic data to explore its driving factors. The results show that (1) the ecosystem health in the study area has been continuously improved during the study period, and the regional differences in ecological organization are the most prominent; (2) the level of ecosystem health in the Qinling-Daba Mountains has been spatially improved from the peripheral areas to the central area, showing significant spatial autocorrelation and local spatial aggregation; (3) the ecosystem health is influenced by a combination of natural and anthropogenic factors, among which the negative effect of GRDP is mainly concentrated in the eastern region, the negative effect of the proportion of built-up land gradually spreads to the western region, and the positive effect of the proportion of forest land has a large scale. This study contributes to a better understanding of ecosystem health in mountainous counties in China and provides useful information for policymakers to formulate ecological and environmental management policies.<\/jats:p>","DOI":"10.3390\/ijgi11120600","type":"journal-article","created":{"date-parts":[[2022,11,30]],"date-time":"2022-11-30T05:45:22Z","timestamp":1669787122000},"page":"600","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Spatiotemporal Changes and Driving Factors of Ecosystem Health in the Qinling-Daba Mountains"],"prefix":"10.3390","volume":"11","author":[{"given":"Ting","family":"Xiang","sequence":"first","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"}]},{"given":"Xiaoliang","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"}]},{"given":"Xinshuang","family":"Wang","sequence":"additional","affiliation":[{"name":"Shaanxi Geomatics Center, Ministry of Natural Resources, Xi\u2019an 710054, China"}]},{"given":"Jing","family":"Xiong","sequence":"additional","affiliation":[{"name":"Hubei Environmental Monitoring Central Station, Wuhan 430072, China"}]},{"given":"Zelin","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Geoscience & Remote Sensing, Delft University of Technology, P.O. Box 5048, 2600 Delft, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.resconrec.2018.12.023","article-title":"How does urbanization affect farmland protection? Evidence from China","volume":"145","author":"Huang","year":"2019","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1016\/j.scitotenv.2018.11.267","article-title":"Land use change, urbanization, and change in landscape pattern in a metropolitan area","volume":"655","author":"Dadashpoor","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1016\/j.rser.2016.12.117","article-title":"Urbanization, energy consumption and emissions in the Indian context A review","volume":"71","author":"Franco","year":"2017","journal-title":"Renew. Sustain. 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