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Relationship between landscape pattern and human disturbance in Serbia from 2000 to 2018

2024-05-16Artigo científico Acesso aberto
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datacite.subject.sdg15:Proteger a Vida Terrestre
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
datacite.subject.sdg13:Ação Climática
dc.contributor.authorQuinta-Nova, Luís
dc.contributor.authorGómez, José Manuel Naranjo
dc.contributor.authorVulevic, Ana
dc.contributor.authorCastanho, Rui Alexandre
dc.contributor.authorLoures, Luis
dc.date.accessioned2026-05-14T11:13:11Z
dc.date.available2026-05-14T11:13:11Z
dc.date.issued2024-05-16
dc.description.abstractThis study intends to verify how the alteration of the landscape configuration, represented by different metrics of configuration and diversity, is related to the intensity of human disturbance. The objectives of the study are: (1) to quantify the change in land use/land cover (LULC) patterns and the degree of human disturbance in Serbia between 2000 and 2018, and (2) to study the relationship between LULC configuration and the impact resulting from human disturbance under different levels of intensity, to understand how changing trends in landscape pattern can serve as indicators to estimate landscape changes resulting from human actions. The Hemeroby Index (HI) was calculated to quantify the impacts on ecosystems resulting from disturbance caused by human actions. Based on the analysis of the variation in the value corresponding to the HI for the period between 2000 and 2018, the level of naturalness increased by only 5% of the territory of Serbia, with this change being verified mainly in SE Serbia. The landscape pattern was quantified using a set of LULC metrics. We used the Spearman method to identify the existing statistical correlations between the geometric parameters of the landscape and the HIs values. At the landscape level, the Mean Shape Index, Edge Density, Mean Patch Fractal Dimension, and Shannon Diversity Index show a strong negative correlation with HI. This correlation suggests that landscapes with greater structural complexity are good indicators of low levels of hemeroby. At the class level, Edge Density and Mean Patch Size correlate significantly with the HI for artificial surfaces, agricultural areas, forests, and semi-natural areas.eng
dc.identifier.doi10.37394/232015.2024.20.17
dc.identifier.eissn2224-3496
dc.identifier.issn1790-5079
dc.identifier.urihttp://hdl.handle.net/10400.1/28961
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWorld Scientific and Engineering Academy and Society (WSEAS)
dc.relationResearch Center for Endogenous Resource Valorization
dc.relation.ispartofWSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHemeroby level
dc.subjectLand-cover changes
dc.subjectLand-use
dc.subjectLULC metrics
dc.subjectSerbia
dc.subjectSustainable development
dc.titleRelationship between landscape pattern and human disturbance in Serbia from 2000 to 2018eng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/05064/2020
oaire.awardTitleResearch Center for Endogenous Resource Valorization
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05064%2F2020/PT
oaire.citation.endPage172
oaire.citation.startPage158
oaire.citation.titleWSEAS Transactions on Environment and Development
oaire.citation.volume20
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLoures
person.givenNameLuis
person.identifier.ciencia-idA81B-A514-56DF
person.identifier.orcid0000-0002-6611-3417
person.identifier.scopus-author-id55890417300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationc09e418f-4b78-484c-9abc-18ce1a6508be
relation.isAuthorOfPublication.latestForDiscoveryc09e418f-4b78-484c-9abc-18ce1a6508be
relation.isProjectOfPublicationd82a6f4a-5edf-4001-851f-0706ade8ae45
relation.isProjectOfPublication.latestForDiscoveryd82a6f4a-5edf-4001-851f-0706ade8ae45

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