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dc.contributor.authorMohammadyari, Fatemeh
dc.contributor.authorZarandian, Ardavan
dc.contributor.authorMirsanjari, Mir Mehrdad
dc.contributor.authorSužiedelytė Visockienė, Jūratė
dc.contributor.authorTumelienė, Eglė
dc.date.accessioned2023-09-18T16:32:43Z
dc.date.available2023-09-18T16:32:43Z
dc.date.issued2023
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/114560
dc.description.abstractThe present study aims at predicting future land use/land cover (LULC) and quantifying and mapping the ecosystem services (ESs) of water yield, outdoor recreation opportunity and food production in current (here, 2017) and future landscapes in Northern Iran, using the InVEST, Recreation Opportunity Spectrum (ROS) and yield models. To that end, two LULC scenarios known as business as usual (BAU) and protection-based (PB) plan were applied for 2028, using the Markov Artificial Neural Network and Multi-objective land allocation (MOLA) models. The results show that rapid urbanisation, caused by the expansion of human settlements and industrial areas, has led to a decline in the ESs in the region. Compared to the ESs in 2017, the service of water yield increases as urban expansion increases, whereas food production and recreation services decrease as urban expansion increases, under the BAU scenario. On the other hand, in the PB scenario, relatively better conditions can be observed for all three ESs. Considering that the ecological structures of this region have been severely affected by rapid urban expansion, the results of this research will be useful for maintaining the existing ESs and can greatly affect planning and decision-making regarding future development towards urban sustainability.eng
dc.formatPDF
dc.format.extentp. 1-24
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyCABI (abstracts)
dc.relation.isreferencedbyRePec
dc.relation.isreferencedbyScopus
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2073-445X/12/2/291
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:153213772/datastreams/MAIN/content
dc.titleModelling impact of urban expansion on ecosystem services: A scenario-based approach in a mixed natural/urbanised landscape
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references103
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionMalayer University
dc.contributor.institutionResearch Center for Environment and Sustainable Development (RCESD)
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineering
dc.subject.researchfieldT 010 - Matavimų inžinerija / Measurement engineering
dc.subject.researchfieldT 004 - Aplinkos inžinerija / Environmental engineering
dc.subject.studydirectionE03 - Aplinkos inžinerija / Environmental engineering
dc.subject.studydirectionE04 - Matavimų inžinerija / Measurement engineering
dc.subject.vgtuprioritizedfieldsSD05 - Geodezinės technologijos / Geodetic technologies
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enland use scenario
dc.subject.enecosystem services
dc.subject.enMarkov Artificial Neural Network
dc.subject.enMOLA model
dc.subject.enurban expansion
dc.subject.enKaraj landscape
dcterms.sourcetitleLand: Special issue: Applying earth observation data for urban land-use change mapping
dc.description.issueiss. 2
dc.description.volumevol. 12
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi10.3390/land12020291
dc.identifier.elaba153213772


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