Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/7407
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dc.contributor.authorVeličković, Tijanaen_US
dc.contributor.authorMarić, Sašaen_US
dc.contributor.authorStanković, Daviden_US
dc.contributor.authorMilošković, Aleksandraen_US
dc.contributor.authorRadenković, Milenaen_US
dc.contributor.authorŠanda, Radeken_US
dc.contributor.authorVukić, Jasnaen_US
dc.contributor.authorĐuretanović, Simonaen_US
dc.contributor.authorKojadinović, Natašaen_US
dc.contributor.authorJakovljević, Marijaen_US
dc.contributor.authorSimić, Vladicaen_US
dc.date.accessioned2024-11-18T08:31:42Z-
dc.date.available2024-11-18T08:31:42Z-
dc.date.issued2024-
dc.identifier.issn2410-3888-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/7407-
dc.description.abstractIn the inland waters of the Balkans, many brown trout populations have been severely depleted. Therefore, identifying potential threats to their continued survival and ranking populations based on their biological and evolutionary importance enables setting conservation priorities. To assess the sustainability of the brown trout populations in the territory of Serbia (central Balkans), a modification of the ESHIPPO model was performed. The main modification involves incorporating the investigated populations’ genetic structure into the model. Therefore, the new ESHIPPOsalmo model includes an analysis of biological parameters and the impact of multiple factors, including habitat alterations, invasive species, pollution, human population growth, and over-exploitation. In order to investigate individual levels of influence of the model’s analyzed parameters, a combination of supervised and unsupervised machine learning methods was used. The structure of the model is based on general and easily measurable indicators, which enables its application in any salmonid river in the world. By evaluating the parameters of the ESHIPPOsalmo model, we were able to establish that, of the analyzed populations from 46 localities, 37% have a moderate level of sustainability, 43% low, and 20% critically low.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofFishesen_US
dc.subjectConservation model;en_US
dc.subjectSalmo spp.;en_US
dc.subjectManifold and machine learning;en_US
dc.subjectSustainable use.en_US
dc.titleSustainability Assessment of Brown Trout Populations in Serbia (Central Balkans) Using the Modified ESHIPPO Modelen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/fishes9110423-
dc.description.rankM22en_US
dc.description.impact2.3en_US
dc.description.startpage423en_US
dc.relation.issn2410-3888en_US
dc.description.volume9en_US
dc.description.issue11en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptChair of Morphology, Systematics and Phylogeny of Animals-
crisitem.author.orcid0000-0002-8132-3738-
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