Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)

Gorgoso Varela, J. Javier; Alonso Ponce, Rafael; Rodríguez Puerta, Francisco

Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)

Producción Científica

Detalhes bibliográficos
Autores:	Gorgoso Varela, J. Javier, Alonso Ponce, Rafael, Rodríguez Puerta, Francisco
Formato:	artículo
Estado:	Versión publicada
Fecha de publicación:	2021
País:	España
Recursos:	Universidad de Valladolid
Repositorio:	UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:	oai:uvadoc.uva.es:10324/59808
Acesso em linha:	https://doi.org/10.3390/rs13122307 https://uvadoc.uva.es/handle/10324/59808
Access Level:	acceso abierto
Palavra-chave:	Pino Carrasco - Crecimiento Dendrocronología Clima - Cambios Pine Pinos - España Pinos - Crecimiento Bosques y silvicultura - España 3106 Ciencia Forestal 3106.08 Silvicultura

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spelling	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)Gorgoso Varela, J. JavierAlonso Ponce, RafaelRodríguez Puerta, FranciscoPino Carrasco - CrecimientoDendrocronologíaClima - CambiosPinePinos - EspañaPinos - CrecimientoBosques y silvicultura - España3106 Ciencia Forestal3106.08 SilviculturaProducción CientíficaThe diameter distributions of trees in 50 temporary sample plots (TSPs) established in Pinus halepensis Mill. stands were recovered from LiDAR metrics by using six probability density functions (PDFs): the Weibull (2P and 3P), Johnson’s SB, beta, generalized beta and gamma-2P functions. The parameters were recovered from the first and the second moments of the distributions (mean and variance, respectively) by using parameter recovery models (PRM). Linear models were used to predict both moments from LiDAR data. In recovering the functions, the location parameters of the distributions were predetermined as the minimum diameter inventoried, and scale parameters were established as the maximum diameters predicted from LiDAR metrics. The Kolmogorov–Smirnov (KS) statistic (Dn), number of acceptances by the KS test, the Cramér von Misses (W2) statistic, bias and mean square error (MSE) were used to evaluate the goodness of fits. The fits for the six recovered functions were compared with the fits to all measured data from 58 TSPs (LiDAR metrics could only be extracted from 50 of the plots). In the fitting phase, the location parameters were fixed at a suitable value determined according to the forestry literature (0.75·dmin). The linear models used to recover the two moments of the distributions and the maximum diameters determined from LiDAR data were accurate, with R2 values of 0.750, 0.724 and 0.873 for dg, dmed and dmax. Reasonable results were obtained with all six recovered functions. The goodness-of-fit statistics indicated that the beta function was the most accurate, followed by the generalized beta function. The Weibull-3P function provided the poorest fits and the Weibull-2P and Johnson’s SB also yielded poor fits to the data.Ministerio de Economía, Industria y Competitividad, Ayudas Torres Quevedo- (grant PTQ-16-08445)Fondo Europeo Agrario de Desarrollo Rural (FEADER) Programa de Desarrollo Rural de Aragón 2014-2020 - (project RF-64079)MDPI2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.3390/rs13122307https://uvadoc.uva.es/handle/10324/59808reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://www.mdpi.com/2072-4292/13/12/2307info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:uvadoc.uva.es:10324/598082026-06-13T12:44:47Z
dc.title.none.fl_str_mv	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)
title	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)
spellingShingle	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain) Gorgoso Varela, J. Javier Pino Carrasco - Crecimiento Dendrocronología Clima - Cambios Pine Pinos - España Pinos - Crecimiento Bosques y silvicultura - España 3106 Ciencia Forestal 3106.08 Silvicultura
title_short	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)
title_full	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)
title_fullStr	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)
title_full_unstemmed	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)
title_sort	Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)
dc.creator.none.fl_str_mv	Gorgoso Varela, J. Javier Alonso Ponce, Rafael Rodríguez Puerta, Francisco
author	Gorgoso Varela, J. Javier
author_facet	Gorgoso Varela, J. Javier Alonso Ponce, Rafael Rodríguez Puerta, Francisco
author_role	author
author2	Alonso Ponce, Rafael Rodríguez Puerta, Francisco
author2_role	author author
dc.subject.none.fl_str_mv	Pino Carrasco - Crecimiento Dendrocronología Clima - Cambios Pine Pinos - España Pinos - Crecimiento Bosques y silvicultura - España 3106 Ciencia Forestal 3106.08 Silvicultura
topic	Pino Carrasco - Crecimiento Dendrocronología Clima - Cambios Pine Pinos - España Pinos - Crecimiento Bosques y silvicultura - España 3106 Ciencia Forestal 3106.08 Silvicultura
description	Producción Científica
publishDate	2021
dc.date.none.fl_str_mv	2021
dc.type.none.fl_str_mv	info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion
format	article
status_str	publishedVersion
dc.identifier.none.fl_str_mv	https://doi.org/10.3390/rs13122307 https://uvadoc.uva.es/handle/10324/59808
url	https://doi.org/10.3390/rs13122307 https://uvadoc.uva.es/handle/10324/59808
dc.language.none.fl_str_mv	Inglés
language_invalid_str_mv	Inglés
dc.relation.none.fl_str_mv	https://www.mdpi.com/2072-4292/13/12/2307
dc.rights.none.fl_str_mv	info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv	openAccess
rights_invalid_str_mv	http://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv	application/pdf
dc.publisher.none.fl_str_mv	MDPI
publisher.none.fl_str_mv	MDPI
dc.source.none.fl_str_mv	reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid instname:Universidad de Valladolid
instname_str	Universidad de Valladolid
reponame_str	UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection	UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score	15,301629

Modeling diameter distributions with six probability density functions in Pinus halepensis Mill. Plantations using low-density airborne laser scanning data in Aragón (northeast Spain)

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