Determining indicator plant species of Pinus brutia Ten. Site index classes using interspecific correlation analysis in Antalya (Turkey)

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dc.authoridOzdemir, Serkan/0000-0002-9425-3724en_US
dc.authorscopusid56001186700en_US
dc.authorscopusid57205743969en_US
dc.authorwosidÇINAR, Tunahan/IZP-6866-2023en_US
dc.contributor.authorOzdemir, Serkan
dc.contributor.authorCinar, Tunahan
dc.date.accessioned2024-08-23T16:03:56Z
dc.date.available2024-08-23T16:03:56Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractBackground: We performed a vegetation study in Antalya, where the Mediterranean climate prevails, in order to determine the indicator plant species of red pine (Pinus brutia Ten.). Red pine can be widely distributed from sea level to 1200 meters. Its main distribution is in the main Mediterranean vegetation zone between 500-1000 meters. However, the variation of the habitat factors may be low in this range. Therefore, the productivity relationships of species such as red pine, whose sustainable use is important, cannot be directly explained by environmental variables. In such cases, it is important to determine the indicator plant species. For this reason, indicator plant species of red pine productivity (site index class I) were determined by using interspecific correlation analysis (ICA) in the study. Then, using principal components analysis, the relationship of indicator plant species with the variables of elevation, slope, aspect and soil depth was revealed. In the principal components analysis, the plant species that were determined as an indicator were also added to the graph as a class variable, and the effects of the variables on the indicator plant species were also investigated.Results: The results of the ICA showed that Dryopteris flix-mas (L.) Schott, Abies cilicica (Antoine & Kotschy) Carriere, Cedrus libani A. RICH and Colutea cilicica Boiss. & Bal. species were negative indicators of red pine productivity. On the other hand, Cistus creticus L. and Smilax aspera L. species were positive indicators of productivityConclusions: Interspecific correlation analysis is a useful tool to determine the ecological properties of species that have a local distribution or a vertical distribution in a narrow altitude range. It also offers practical and effective results, especially for species with high commercial value such as red pine.en_US
dc.identifier.doi10.1590/01047760202329013188
dc.identifier.issn0104-7760
dc.identifier.scopus2-s2.0-85159380306en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1590/01047760202329013188
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13987
dc.identifier.volume29en_US
dc.identifier.wosWOS:000991193200001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherUniv Federal Lavras-Uflaen_US
dc.relation.ispartofCerneen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInterspecific Correlation Analysisen_US
dc.subjectPrincipal Component Analysisen_US
dc.subjectRed Pineen_US
dc.subjectSite Index Valueen_US
dc.subjectOriganum-Onites L.en_US
dc.subjectMediterranean Regionen_US
dc.subjectClimateen_US
dc.subjectDiversityen_US
dc.subjectDistricten_US
dc.titleDetermining indicator plant species of Pinus brutia Ten. Site index classes using interspecific correlation analysis in Antalya (Turkey)en_US
dc.typeArticleen_US

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