Yayın:
Determination of relationships between leaf area Index and Stand characteristics in anatolian black pine stands of kastamonu region, Türkiye

dc.contributor.authorYer, Batin Mehmet
dc.contributor.authorSakici, Oytun Emre
dc.date.accessioned2026-01-04T16:12:37Z
dc.date.issued2022-01-01
dc.description.abstractBackground: Leaf area index (LAI) is an important stand characteristic in terms of forest productivity and stand growth, and it shows significant correlations with other stand characteristics. In this study, it is aimed to reveal the relationships between LAI and some other stand characteristics, i.e. mean diameter, stand age, dominant height, site index, number of trees, stand basal area, stand density, total crown biomass and crown dimensions for Anatolian black pine (Pinus nigra J.F. Arnold subsp. pallasiana (Lamb.) Holmboe) stands in Kastamonu region, which is one of the economically important tree species in Türkiye, and to develop a regression model for LAI estimations by using these relationships. Results: The data obtained from 119 temporary sample plots were used in the study. According to the results, stand basal area, stand density, total crown biomass, dominant height, number of trees, mean diameter, and site index positively correlated with LAI. LAI values were significantly different in terms of stand density and site classes. Among the candidate models for LAI estimations, the model containing site index and stand density as independent variables was the most successful model with the adjusted coefficient of determination (Radj2) of 0,63 and the Akaike information criterion (AIC) of-67,25. Conclusion: The LAI, which is difficult to measure directly in practice, of Anatolian black pine stands in Kastamonu region of Türkiye could be estimated accurately with the help of the equation developed. © 2022, Federal University of Lavras. All rights reserved.
dc.description.urihttps://doi.org/10.1590/01047760202228013103
dc.description.urihttps://hdl.handle.net/20.500.12831/9325
dc.description.urihttps://cerne.ufla.br/site/index.php/CERNE/article/view/3103
dc.description.urihttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602022000100506&lng=en&tlng=en
dc.identifier.doi10.1590/01047760202228013103
dc.identifier.eissn2317-6342
dc.identifier.issn0104-7760
dc.identifier.openairedoi_dedup___::3e1728b6c2d0e31209f81330f45d4515
dc.identifier.orcid0000-0001-9458-4067
dc.identifier.orcid0000-0003-4961-2991
dc.identifier.scopus2-s2.0-85139041096
dc.identifier.urihttps://hdl.handle.net/20.500.12597/39349
dc.identifier.volume28
dc.identifier.wos000904520000001
dc.publisherFapUNIFESP (SciELO)
dc.relation.ispartofCERNE
dc.rightsOPEN
dc.subjectPinus nigra
dc.subjectproductivity
dc.subjectleaf area index
dc.subjectStand density
dc.subjectstand dynamics
dc.subjectregression analysis
dc.subjectKastamonu
dc.subjectSite index
dc.subjectLAI-2200C
dc.subjectPinus nigra subsp. pallasiana
dc.subjectsite index
dc.subject.sdg15. Life on land
dc.titleDetermination of relationships between leaf area Index and Stand characteristics in anatolian black pine stands of kastamonu region, Türkiye
dc.typeArticle
dspace.entity.typePublication
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Among the candidate models for LAI estimations, the model containing site index and stand density as independent variables was the most successful model with the adjusted coefficient of determination (Radj2) of 0,63 and the Akaike information criterion (AIC) of-67,25. Conclusion: The LAI, which is difficult to measure directly in practice, of Anatolian black pine stands in Kastamonu region of Türkiye could be estimated accurately with the help of the equation developed. © 2022, Federal University of Lavras. 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