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dc.contributor.authorÖZDEMİR, Emrah
dc.contributor.authorMAKİNECİ, Ender
dc.contributor.authorYILMAZ, Ersel
dc.date.accessioned2021-12-10T09:47:42Z
dc.date.available2021-12-10T09:47:42Z
dc.date.issued2021
dc.identifier.citationYILMAZ E., ÖZDEMİR E., MAKİNECİ E., "Bark thickness models for oak forests being converted from coppice to high forests in Northwestern Turkey", ENVIRONMENTAL MONITORING AND ASSESSMENT, cilt.193, sa.11, 2021
dc.identifier.issn0167-6369
dc.identifier.othervv_1032021
dc.identifier.otherav_13655810-b844-4f67-b71a-51f0014e1b4f
dc.identifier.urihttp://hdl.handle.net/20.500.12627/168497
dc.identifier.urihttps://doi.org/10.1007/s10661-021-09524-x
dc.description.abstractThe research was carried out in the coppice-originated pure oak stands that are being converted to high forests in northwest Turkey. The main goal of the research was to determine the bark thickness (BT) based on tree variables, such as tree diameter at breast height (DBH), total tree height (H), crown diameter (CD), and age (AGE) of the stem sections taken from a total of 350 trees that were destructively sampled from different sites, different oak species (Quercus petraea, Quercus frainetto, Quercus cerris), and different development stages. Models were developed with stepwise multiple regression analysis to predict BT based on the variables. For all oak species, all models obtained by stepwise multiple regression analysis were found to be significant at p = 0.001 level. In Quercus petraea, only the DBH-dependent model explained the variation in BT at a rate of 73%, estimating with an absolute error rate of 21%. The fit statistics of the models (based on DBH and DBH-H explanatory variables) obtained for Quercus frainetto are very close to each other, and they explained the variation in BT at a rate of 69% and estimated with an error rate of 26%. Models (based on DBH and DBH-H explanatory variables) explain the variation in BT in Turkey oak at a rate of 91%, indicating species-specific results. The models based on only DBH can be used with high accuracy to estimate BT.
dc.language.isoeng
dc.subjectTarım ve Çevre Bilimleri (AGE)
dc.subjectÇevre Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectAquatic Science
dc.subjectNature and Landscape Conservation
dc.subjectPhysical Sciences
dc.subjectLife Sciences
dc.subjectEnvironmental Science (miscellaneous)
dc.subjectTarımsal Bilimler
dc.subjectÇevre / Ekoloji
dc.subjectÇEVRE BİLİMLERİ
dc.titleBark thickness models for oak forests being converted from coppice to high forests in Northwestern Turkey
dc.typeMakale
dc.relation.journalENVIRONMENTAL MONITORING AND ASSESSMENT
dc.contributor.departmentİstanbul Üniversitesi-Cerrahpaşa , Orman Fakültesi , Orman Mühendisliği
dc.identifier.volume193
dc.identifier.issue11
dc.contributor.firstauthorID2756373


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