Calibrating a taper model for oriental spruce in Turkey

Detalhes bibliográficos
Autor(a) principal: Özçelik, Ramazan
Data de Publicação: 2020
Outros Autores: CAO, Quang V., YAVUZ, Hakkı
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/2297
Resumo: In this study, Max and Burkhart (1976)’s segmented taper model was used to describe stem profile and predict stem volume of oriental spruce in Turkey. Thirty methods were evaluated, which include five fitting methods and six adjustment strategies. The fitting methods resulted in parameters that were optimized for (1) taper, (2) cumulative volume, (3) taper and cumulative volume, (4) taper and total volume, and (5) taper, cumulative volume, and total volume. The adjustment methods are (1) unadjusted, and adjusted to match (2) DBH, (3) predicted total volume, (4) DBH and predicted total volume, (5) a combined estimator, and (6) DBH and a combined estimator. Results showed that, without adjustment, the model with parameters optimized for taper gave good prediction for both taper and cumulative volume. Mixed results were obtained when various adjustment methods were used on different fitting techniques. The overall best-ranked method for predicting both taper and volume was the model optimized for taper and cumulative volume and then adjusted to fit the combined estimator.
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spelling Calibrating a taper model for oriental spruce in TurkeyVolume, adjustment, optimization, segmented models, diameter, heightTaper modelsIn this study, Max and Burkhart (1976)’s segmented taper model was used to describe stem profile and predict stem volume of oriental spruce in Turkey. Thirty methods were evaluated, which include five fitting methods and six adjustment strategies. The fitting methods resulted in parameters that were optimized for (1) taper, (2) cumulative volume, (3) taper and cumulative volume, (4) taper and total volume, and (5) taper, cumulative volume, and total volume. The adjustment methods are (1) unadjusted, and adjusted to match (2) DBH, (3) predicted total volume, (4) DBH and predicted total volume, (5) a combined estimator, and (6) DBH and a combined estimator. Results showed that, without adjustment, the model with parameters optimized for taper gave good prediction for both taper and cumulative volume. Mixed results were obtained when various adjustment methods were used on different fitting techniques. The overall best-ranked method for predicting both taper and volume was the model optimized for taper and cumulative volume and then adjusted to fit the combined estimator.CERNECERNE2020-02-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/2297CERNE; Vol. 25 No. 4 (2019); 473-481CERNE; v. 25 n. 4 (2019); 473-4812317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/2297/1163Copyright (c) 2020 CERNEinfo:eu-repo/semantics/openAccessÖzçelik, RamazanCAO, Quang V.YAVUZ, Hakkı2020-02-21T11:40:18Zoai:cerne.ufla.br:article/2297Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:43.198442Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Calibrating a taper model for oriental spruce in Turkey
title Calibrating a taper model for oriental spruce in Turkey
spellingShingle Calibrating a taper model for oriental spruce in Turkey
Özçelik, Ramazan
Volume, adjustment, optimization, segmented models, diameter, height
Taper models
title_short Calibrating a taper model for oriental spruce in Turkey
title_full Calibrating a taper model for oriental spruce in Turkey
title_fullStr Calibrating a taper model for oriental spruce in Turkey
title_full_unstemmed Calibrating a taper model for oriental spruce in Turkey
title_sort Calibrating a taper model for oriental spruce in Turkey
author Özçelik, Ramazan
author_facet Özçelik, Ramazan
CAO, Quang V.
YAVUZ, Hakkı
author_role author
author2 CAO, Quang V.
YAVUZ, Hakkı
author2_role author
author
dc.contributor.author.fl_str_mv Özçelik, Ramazan
CAO, Quang V.
YAVUZ, Hakkı
dc.subject.por.fl_str_mv Volume, adjustment, optimization, segmented models, diameter, height
Taper models
topic Volume, adjustment, optimization, segmented models, diameter, height
Taper models
description In this study, Max and Burkhart (1976)’s segmented taper model was used to describe stem profile and predict stem volume of oriental spruce in Turkey. Thirty methods were evaluated, which include five fitting methods and six adjustment strategies. The fitting methods resulted in parameters that were optimized for (1) taper, (2) cumulative volume, (3) taper and cumulative volume, (4) taper and total volume, and (5) taper, cumulative volume, and total volume. The adjustment methods are (1) unadjusted, and adjusted to match (2) DBH, (3) predicted total volume, (4) DBH and predicted total volume, (5) a combined estimator, and (6) DBH and a combined estimator. Results showed that, without adjustment, the model with parameters optimized for taper gave good prediction for both taper and cumulative volume. Mixed results were obtained when various adjustment methods were used on different fitting techniques. The overall best-ranked method for predicting both taper and volume was the model optimized for taper and cumulative volume and then adjusted to fit the combined estimator.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/2297
url https://cerne.ufla.br/site/index.php/CERNE/article/view/2297
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/2297/1163
dc.rights.driver.fl_str_mv Copyright (c) 2020 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 25 No. 4 (2019); 473-481
CERNE; v. 25 n. 4 (2019); 473-481
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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