Site index models for Calabrian pine in the central Mediterranean region of Turkey

Basit Öğe Kaydı
dc.authorid0000-0001-7041-1479en_US
dc.contributor.authorKahriman, Aydin
dc.contributor.authorSönmez, Turan
dc.contributor.authorvon Gadow, Klaus
dc.date.accessioned2021-03-20T20:13:29Z
dc.date.available2021-03-20T20:13:29Z
dc.date.issued2018
dc.departmentBTÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description.abstractStem analysis data of 432 trees were obtained from even-aged, pure natural stands of Calabrian pine in the central Mediterranean Region of Turkey. Eight dynamic site equations derived with the Generalized Algebraic Difference Approach (GADA) were compared, based on autoregressive analysis and a thorough evaluation of the goodness of fit. We used generalized nonlinear least squares methods for model fitting. The adjusted coefficients of determination (0.9825-0.9842), root-mean-square errors (0.8004-0.8435 m), and Akaike's information criterion differences (0-145) indicated a good fit of the eight site index equations. The Hossfeld equation (M3) provided the best result. The Durbin-Watson test statistic did not reveal an autocorrelation issue while the Hossfeld equation provided a satisfactory solution to the serial correlation problem in stem analysis data as time series using autoregressive modeling. This study presents new site index models for Calabrian pine forests in the central Mediterranean region of Turkey where it is the most important commercial tree species. The site index equation, based on the Hossfeld model is recommended for height growth prediction and site classification of Calabrian pine stands in the central Mediterranean region of Turkey, providing a new basis for growth prediction and yield estimation in these important forest ecosystems.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [TOVAG-112O808]en_US
dc.description.sponsorshipThis study was carried out as part of a project financed by the Scientific and Technological Research Council of Turkey (TUBITAK) (Project No. TOVAG-112O808). We also thank Professor Juan Gabriel Alvarez Gonzalez (University of Santiago de Compostela in Spain) for his statistical guidance, constructive comments and suggestions. The authors wish to thank the other researchers and workers who contributed to this project. The authors declare that they have no conflict of interest.en_US
dc.identifier.doi10.1080/10549811.2017.1421086en_US
dc.identifier.endpage474en_US
dc.identifier.issn1054-9811
dc.identifier.issn1540-756X
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage459en_US
dc.identifier.urihttp://doi.org/10.1080/10549811.2017.1421086
dc.identifier.urihttps://hdl.handle.net/20.500.12885/880
dc.identifier.volume37en_US
dc.identifier.wosWOS:000438148300003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorSönmez, Turan
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofJournal Of Sustainable Forestryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSite index modelsen_US
dc.subjectgeneralized algebraic difference approachen_US
dc.subjectautoregressive modeling approachen_US
dc.subjectcalabrian pineen_US
dc.subjectHossfeld modelen_US
dc.titleSite index models for Calabrian pine in the central Mediterranean region of Turkeyen_US
dc.typeArticleen_US

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