{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T11:37:54Z","timestamp":1777203474861,"version":"3.51.4"},"reference-count":72,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T00:00:00Z","timestamp":1637107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"China Geological Survey Project","award":["DD20191016"],"award-info":[{"award-number":["DD20191016"]}]},{"name":"The State Key Research and Development Plan","award":["2018 YFB10046"],"award-info":[{"award-number":["2018 YFB10046"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The global ecological environment faces many challenges. Landsat thematic mapper time-series, digital elevation models, meteorology, soil types, net primary production data, socio-economic data, and auxiliary data were collected in order to construct a comprehensive evaluation system for ecological vulnerability (EV) using multi-source remote sensing data. EV was divided into five vulnerability levels: potential I, slight II, mild III, moderate IV, and severe V. Then, we analyzed and explored the spatio-temporal patterns and driving mechanisms of EV in the region over the past 20 years. Our research results showed that, from 2001 to 2019, the DRB was generally characterized as being in the severe vulnerability class, with higher upstream and downstream EV classes and a certain amount of reduction in the midstream EV classes. Moreover, EV in the DRB continues to decrease. The spatio-temporal EV patterns in the DRB were significantly influenced by the relative humidity, average annual temperature, and vegetation cover over the past 20 years. Our work can provide a basis for decision-making and technical support for ecosystem protection, ecological restoration, and ecological management in the DRB.<\/jats:p>","DOI":"10.3390\/rs13224636","type":"journal-article","created":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T21:32:07Z","timestamp":1637184727000},"page":"4636","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1716-9235","authenticated-orcid":false,"given":"Jiao","family":"Wu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xining Center of Natural Resources Comprehensive Survey, China Geological Survey, Xining 810000, China"},{"name":"Ministry of Education Key Laboratory of Geological Survey and Evaluation, China University of Geosciences (Wuhan), Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinjie","family":"He","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guorui","family":"Ma","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1007\/s11625-019-00710-y","article-title":"The social\u2013ecological dimension of vulnerability and risk to natural hazards","volume":"15","author":"Depietri","year":"2020","journal-title":"Sustain. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"105475","DOI":"10.1016\/j.ecolind.2019.105475","article-title":"Drivers of spatio-temporal ecological vulnerability in an arid, coal mining region in Western China","volume":"106","author":"Lv","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1175\/2010BAMS3092.1","article-title":"Have disaster losses increased due to anthropogenic climate change?","volume":"92","author":"Bouwer","year":"2011","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_4","first-page":"1","article-title":"Risks of exposure and vulnerability to natural disasters at the city level: A global overview","volume":"2","author":"Gu","year":"2015","journal-title":"United Nations Tech. Pap."},{"key":"ref_5","unstructured":"Pachauri, R.K., Allen, M.R., Barros, V.R., Broome, J., Cramer, W., Christ, R., Church, J.A., Clarke, L., Dahe, Q., and Dasgupta, P. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC."},{"key":"ref_6","first-page":"155","article-title":"Improvement of ablers model with regard to searching of geographical space","volume":"34","author":"Niu","year":"1989","journal-title":"Chin. Sci. Bull."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Clements, F.E. (1905). Research Methods in Ecology, University Publishing Company.","DOI":"10.5962\/bhl.title.59795"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.proenv.2013.04.035","article-title":"Application of GIS based ecological vulnerability evaluation in environmental impact assessment of master plan of coal mining area","volume":"18","author":"Liao","year":"2013","journal-title":"Procedia Environ. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.envsci.2009.09.007","article-title":"The vulnerability of Australian rural communities to climate variability and change: Part II\u2014Integrating impacts with adaptive capacity","volume":"13","author":"Nelson","year":"2010","journal-title":"Environ. Sci. Policy"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"140256","DOI":"10.1016\/j.scitotenv.2020.140256","article-title":"Spatial-temporal shifts of ecological vulnerability of Karst Mountain ecosystem-impacts of global change and anthropogenic interference","volume":"741","author":"Guo","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1586","DOI":"10.1038\/s41467-021-21824-x","article-title":"An ecological network approach to predict ecosystem service vulnerability to species losses","volume":"12","author":"Keyes","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"102786","DOI":"10.1016\/j.scs.2021.102786","article-title":"Assessment of urban flood vulnerability using the social-ecological-technological systems framework in six US cities","volume":"68","author":"Chang","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_13","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_14","doi-asserted-by":"crossref","first-page":"113573","DOI":"10.1016\/j.jenvman.2021.113573","article-title":"Fuzzy-based vulnerability assessment of coupled social-ecological systems to multiple environmental hazards and climate change","volume":"299","author":"Pirasteh","year":"2021","journal-title":"J. Environ. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"8074","DOI":"10.1073\/pnas.1231335100","article-title":"A framework for vulnerability analysis in sustainability science","volume":"100","author":"Turner","year":"2003","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_16","first-page":"5460","article-title":"Gridded assessment of eco-environmental vulnerability in Nanchang city","volume":"39","author":"Wang","year":"2019","journal-title":"Acta Ecol. Sin."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"125262","DOI":"10.1016\/j.jclepro.2020.125262","article-title":"Human disturbance changes based on spatiotemporal heterogeneity of regional ecological vulnerability: A case study of Qiqihaer city, northwestern Songnen Plain, China","volume":"291","author":"Yang","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"107274","DOI":"10.1016\/j.ecolind.2020.107274","article-title":"Spatio-temporal changes of ecological vulnerability across the Qinghai-Tibetan Plateau","volume":"123","author":"Xia","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"143180","DOI":"10.1016\/j.scitotenv.2020.143180","article-title":"Effects of protection and restoration on reducing ecological vulnerability","volume":"761","author":"Li","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"107059","DOI":"10.1016\/j.ecolind.2020.107059","article-title":"Tempo-spatial changes of ecological vulnerability in resource-based urban based on genetic projection pursuit model","volume":"121","author":"Tang","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"106933","DOI":"10.1016\/j.ecolind.2020.106933","article-title":"Spatiotemporal analysis of ecological vulnerability along Bangladesh-China-India-Myanmar economic corridor through a grid level prototype model","volume":"120","author":"Jin","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"7151","DOI":"10.1007\/s11356-020-11013-6","article-title":"Spatial-temporal pattern evolution and driving force analysis of ecological environment vulnerability in Panzhihua City","volume":"28","author":"Dai","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_23","first-page":"977","article-title":"Spatial and temporal characteristics and drivers of landscape ecological vulnerability in the Chaohu Lake Basin since 1970s","volume":"32","author":"Huang","year":"2020","journal-title":"Lake Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"107464","DOI":"10.1016\/j.ecolind.2021.107464","article-title":"Ecological vulnerability assessment based on AHP-PSR method and analysis of its single parameter sensitivity and spatial autocorrelation for ecological protection\u2013A case of Weifang City, China","volume":"125","author":"Hu","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1016\/j.jclepro.2018.09.109","article-title":"A feasible method for the division of ecological vulnerability and its driving forces in Southern Shaanxi","volume":"205","author":"Kang","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"105493","DOI":"10.1016\/j.ocecoaman.2020.105493","article-title":"Ecosystem service value decreases more rapidly under the dual pressures of land use change and ecological vulnerability: A case study in Zhujiajian Island","volume":"201","author":"Xie","year":"2021","journal-title":"Ocean Coast. Manag."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"111735","DOI":"10.1016\/j.marpolbul.2020.111735","article-title":"Evaluation system of coastal wetland ecological vulnerability under the synergetic influence of land and sea: A case study in the Yellow River Delta, China","volume":"161","author":"Shi","year":"2020","journal-title":"Mar. Pollut. Bull."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"106985","DOI":"10.1016\/j.ecolind.2020.106985","article-title":"Establishing forest resilience indicators in the hilly red soil region of southern China from vegetation greenness and landscape metrics using dense Landsat time series","volume":"121","author":"Liu","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1016\/j.scitotenv.2018.08.321","article-title":"Spatiotemporal analysis of ecological vulnerability and management in the Tarim River Basin, China","volume":"649","author":"Xue","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Wu, C., Liu, G., Huang, C., Liu, Q., and Guan, X. (2018). Ecological vulnerability assessment based on fuzzy analytical method and analytic hierarchy process in Yellow River Delta. Int. J. Environ. Res. Public Health, 15.","DOI":"10.3390\/ijerph15050855"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1016\/j.scitotenv.2019.01.407","article-title":"Global mapping of eco-environmental vulnerability from human and nature disturbances","volume":"664","author":"Nguyen","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_32","unstructured":"Wang, Y. (2015). Effects of Different Vegetation Restoration Patterns on Soil Reactive Organic Carbon in the Antaibao Mining Area, China University of Geosciences."},{"key":"ref_33","first-page":"16","article-title":"Identification of significant water problems in the Dongjiang River Basin of Guangdong Province","volume":"37","author":"He","year":"2021","journal-title":"Water Resour. Conserv."},{"key":"ref_34","first-page":"1758","article-title":"Effects of landscape patterns on nitrogen and phosphorus export in the Dongjiang River Basin","volume":"41","author":"Lv","year":"2021","journal-title":"J. Ecol."},{"key":"ref_35","first-page":"6850","article-title":"Analysis of landscape pattern evolution and prediction of changes in the Dongjiang River Basin","volume":"39","author":"Lv","year":"2019","journal-title":"J. Ecol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"141609","DOI":"10.1016\/j.scitotenv.2020.141609","article-title":"Spatial pattern of soil erodibility factor (K) as affected by ecological restoration in a typical degraded watershed of central China","volume":"749","author":"Jiang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Amundson, R., Berhe, A.A., Hopmans, J.W., Olson, C., Sztein, A.E., and Sparks, D.L. (2015). Soil and human security in the 21st century. Science, 348.","DOI":"10.1126\/science.1261071"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.geomorph.2013.01.018","article-title":"Soil erodibility for water erosion: A perspective and Chinese experiences","volume":"187","author":"Wang","year":"2013","journal-title":"Geomorphology"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1098\/rstb.1990.0184","article-title":"The erosion-productivity impact calculator (EPIC) model: A case history. Philosophical Transactions of the Royal Society of London","volume":"329","author":"Williams","year":"1990","journal-title":"Ser. B Biol. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/j.rse.2018.02.036","article-title":"Landsat time series-based multiyear spectral angle clustering (MSAC) model to monitor the inter-annual leaf senescence of exotic saltcedar","volume":"209","author":"Diao","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_41","unstructured":"Mao, X.P., Diao, J.J., Fan, J.H., Lui, Y.Y., Xu, N.G., Wang, Z., and Li, M.S. (2021). Analysis and prediction of landscape dynamics in the forest-grass mosaic zone of the Daxingan Mountains, Inner Mongolia. J. Ecol., 1\u201312."},{"key":"ref_42","first-page":"33","article-title":"Analysis of landscape patterns and driving forces in the Wulungu River basin from 1989\u20132017","volume":"40","author":"Xue","year":"2021","journal-title":"Ecol. Sci."},{"key":"ref_43","first-page":"1160","article-title":"Extraction method of wetland vegetation cover under different end element models: An example from the Beijing Wild Duck Lake Wetland Nature Reserve","volume":"33","author":"Cui","year":"2013","journal-title":"J. Ecol."},{"key":"ref_44","unstructured":"National Bureau of Statistics (2020). Statistical Yearbook of Jiangxi Province, China Statistics Press."},{"key":"ref_45","unstructured":"National Bureau of Statistics (2020). Statistical Yearbook of Guangdong Province, China Statistics Press."},{"key":"ref_46","unstructured":"Johnson, R.A., and Wichern, D.W. (2001). Practical Multivariate Statistical Analysis, Tsinghua University Press."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.ecolind.2017.03.039","article-title":"Environmental vulnerability evaluation using a spatial principal components approach in the Daxing\u2019anling region, China","volume":"78","author":"Zou","year":"2017","journal-title":"Ecol. Indic."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"20182365","DOI":"10.1098\/rspb.2018.2365","article-title":"Sovereign states in the Caribbean have lower social-ecological vulnerability to coral bleaching than overseas territories","volume":"286","author":"Siegel","year":"2019","journal-title":"Proc. R. Soc. B"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1346","DOI":"10.1080\/19475705.2019.1568313","article-title":"Quantitative assessment model of ecological vulnerability of the Silk Road Economic Belt, China, utilizing remote sensing based on the partition-integration concept","volume":"10","author":"Guo","year":"2019","journal-title":"Geomat. Nat. Hazards Risk."},{"key":"ref_50","first-page":"1991","article-title":"Adaptability of agricultural ecosystems in the hilly areas in Southern China a case study in Hengyang Basin. Adaptability of Agricultural Ecosystems in the Hilly Areas in Southern China: A Case Study in Hengyang Basin","volume":"35","author":"Zhou","year":"2015","journal-title":"Acta Ecol. Sin."},{"key":"ref_51","first-page":"1222","article-title":"Spatial pattern of net primary productivity and its relationship with climatic factors in Hilly Red Soil Region of southern China: A case study in Taihe county, Jiangxi province","volume":"34","author":"Dai","year":"2015","journal-title":"Geogr. Res."},{"key":"ref_52","first-page":"735","article-title":"Spatial and temporal changes of the ecological vulnerability in a serious soil erosion area, Southern China","volume":"27","author":"Yao","year":"2016","journal-title":"Chin. J. Appl. Ecol."},{"key":"ref_53","first-page":"82","article-title":"Evolutionary Relation between Ecological Vulnerability and Soil Erosion in the Typical Reddish Soil Region of Southern China","volume":"37","author":"Chen","year":"2017","journal-title":"J. Southwest For. Univ. (Nat. Sci.)"},{"key":"ref_54","first-page":"843","article-title":"Vulnerability assessment and analysis of hilly area in Southern China: A case study in the Hengyang Basin","volume":"24","author":"Tian","year":"2005","journal-title":"Geogr. Res."},{"key":"ref_55","first-page":"92","article-title":"Analyzing the effects of land cover change on urban ecological vulnerability in the central districts of Fuzhou city","volume":"34","author":"Fan","year":"2018","journal-title":"J. Fujian Norm. Univ. (Nat. Sci. Ed.)"},{"key":"ref_56","first-page":"2558","article-title":"Spatio-temporal evolution and motivation analysis of ecological vulnerability in arid inland river basin based on SPCA and remote sensing index: A case study on the Shiyang River Basin","volume":"39","author":"Guo","year":"2019","journal-title":"Acta Ecol. Sin."},{"key":"ref_57","first-page":"265","article-title":"Evaluation of Ecological Environment Vulnerability in the Upper-Middle Reaches of Dadu River Basin Based on AHP-PCA Entropy Weight Model","volume":"26","author":"Yao","year":"2019","journal-title":"Res. Soil Water Conserv."},{"key":"ref_58","first-page":"69","article-title":"Evolution of drought levels and impacts of main factors in the Dongjiang River basin","volume":"29","author":"Xie","year":"2020","journal-title":"J. Nat. Disasters"},{"key":"ref_59","first-page":"152","article-title":"Characteristics of water use efficiency of typical terrestrial ecosystems in China and its response","volume":"36","author":"Shi","year":"2020","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1099","DOI":"10.1007\/s12517-020-06047-6","article-title":"Effects of land use\/land cover and climatic change on the ecosystem of North Ningxia, China","volume":"13","author":"Caiyong","year":"2020","journal-title":"Arab. J. Geosci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"103700","DOI":"10.1016\/j.jconhyd.2020.103700","article-title":"Nitrate distribution under the influence of seasonal hydrodynamic changes and human activities in Huixian karst wetland, South China","volume":"234","author":"Chen","year":"2020","journal-title":"J. Contam. Hydrol."},{"key":"ref_62","first-page":"96","article-title":"Analysis of spatial and temporal changes and its driving mechanism of ecological vulnerability of alpine ecosystem in Qinghai Tibet Plateau","volume":"37","author":"Guo","year":"2018","journal-title":"Ecol. Sci."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Jiang, Y., Li, R., Shi, Y., and Guo, L. (2021). Natural and Political Determinants of Ecological Vulnerability in the Qinghai\u2013Tibet Plateau: A Case Study of Shannan, China. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10050327"},{"key":"ref_64","first-page":"116","article-title":"Geodetector:principle and prospective","volume":"72","author":"Wang","year":"2017","journal-title":"Acta Geogr. Sin."},{"key":"ref_65","first-page":"2068","article-title":"Characteristics and climate explanation of spatial distribution and temporal variation of potential evapotranspiration in Headwaters of the Three Rivers","volume":"29","author":"Zhou","year":"2014","journal-title":"J. Nat. Resour."},{"key":"ref_66","first-page":"1783","article-title":"Climate change and its impact on runoff during 1956\u20132009 in Dongjiang basin","volume":"20","author":"Lin","year":"2011","journal-title":"Ecol. Environ. Sci."},{"key":"ref_67","first-page":"618","article-title":"Review of China\u2019s land surface quantitative remote sensing development in 2019","volume":"24","author":"Liang","year":"2020","journal-title":"J. Remote Sens."},{"key":"ref_68","first-page":"1573","article-title":"Ecological vulnerability assessment of Qilian Mountains region based on SRP conceptual model","volume":"43","author":"Liu","year":"2020","journal-title":"Arid Land Geogr."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1456","DOI":"10.1126\/science.1155458","article-title":"Managing forests for climate change mitigation","volume":"320","author":"Canadell","year":"2008","journal-title":"Science"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1038\/nature10425","article-title":"Primary forests are irreplaceable for sustaining tropical biodiversity","volume":"478","author":"Gibson","year":"2011","journal-title":"Nature"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"107145","DOI":"10.1016\/j.ecolecon.2021.107145","article-title":"The economic values of global forest ecosystem services: A meta-analysis","volume":"189","author":"Taye","year":"2021","journal-title":"Ecol. Econ."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"113768","DOI":"10.1016\/j.jenvman.2021.113768","article-title":"Interannual variability of vegetation sensitivity to climate in China","volume":"301","author":"Jiang","year":"2022","journal-title":"J. Environ. Manag."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/22\/4636\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:31:48Z","timestamp":1760167908000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/22\/4636"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,17]]},"references-count":72,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2021,11]]}},"alternative-id":["rs13224636"],"URL":"https:\/\/doi.org\/10.3390\/rs13224636","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,17]]}}}