Calibrating a taper model for oriental spruce in Turkey
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
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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Cerne (Online) |
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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 |
_version_ |
1799874943836487680 |