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, José Javier; Alonso Ponce, R.; Rodríguez-Puerta, F.; Ministerio de Economía, Industria y Competitividad (España)

Modeling diameter distributions with six probability density functions in pinus halepensis mill. Plantations using low-density airborne laser scanning data in aragón (northeast Spain)

17 Pág.

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Bibliographic Details
Main Authors:	Gorgoso-Varela, José Javier, Alonso Ponce, R., Rodríguez-Puerta, F.
Other Authors:	Ministerio de Economía, Industria y Competitividad (España)
Format:	artículo biblioteca
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2021-06-12
Subjects:	Aleppo pine, Diameter distributions, LiDAR, Parameter recovery models,
Online Access:	http://hdl.handle.net/10261/372628 https://api.elsevier.com/content/abstract/scopus_id/85108604388
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id	dig-inia-es-10261-372628
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spelling	dig-inia-es-10261-3726282024-11-22T21:50:08Z 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, José Javier Alonso Ponce, R. Rodríguez-Puerta, F. Ministerio de Economía, Industria y Competitividad (España) European Commission Gorgoso-Varela, José Javier [0000-0002-8278-7876] Alonso Ponce, R. [0000-0001-6633-9857] Rodríguez-Puerta, F. [0000-0002-4844-1759] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] Aleppo pine Diameter distributions LiDAR Parameter recovery models 17 Pág. The 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. This work was supported by the Government of Spain, Department of Economy, Industry and Competitiveness, under a Torres Quevedo Contract PTQ-16-08445. This study was also supported by FEADER under the provisions of the Rural Development Program of Aragón 2014-2020 for the project RF-64079. Peer reviewed 2024-11-22T10:00:32Z 2024-11-22T10:00:32Z 2021-06-12 artículo http://purl.org/coar/resource_type/c_6501 Publisher's version Remote Sensing 13(12): 2307 (2021) http://hdl.handle.net/10261/372628 10.3390/rs13122307 2072-4292 2-s2.0-85108604388 https://api.elsevier.com/content/abstract/scopus_id/85108604388 en Instituto Universitario de Investigación en Gestión Forestal Sostenible (iuFOR) publisher https://doi.org/10.3390/rs13122307 Sí open application/pdf Multidisciplinary Digital Publishing Institute
institution	INIA ES
collection	DSpace
country	España
countrycode	ES
component	Bibliográfico
access	En linea
databasecode	dig-inia-es
tag	biblioteca
region	Europa del Sur
libraryname	Biblioteca del INIA España
language	English
topic	Aleppo pine Diameter distributions LiDAR Parameter recovery models Aleppo pine Diameter distributions LiDAR Parameter recovery models
spellingShingle	Aleppo pine Diameter distributions LiDAR Parameter recovery models Aleppo pine Diameter distributions LiDAR Parameter recovery models Gorgoso-Varela, José Javier Alonso Ponce, R. Rodríguez-Puerta, F. Modeling diameter distributions with six probability density functions in pinus halepensis mill. Plantations using low-density airborne laser scanning data in aragón (northeast Spain)
description	17 Pág.
author2	Ministerio de Economía, Industria y Competitividad (España)
author_facet	Ministerio de Economía, Industria y Competitividad (España) Gorgoso-Varela, José Javier Alonso Ponce, R. Rodríguez-Puerta, F.
format	artículo
topic_facet	Aleppo pine Diameter distributions LiDAR Parameter recovery models
author	Gorgoso-Varela, José Javier Alonso Ponce, R. Rodríguez-Puerta, F.
author_sort	Gorgoso-Varela, José Javier
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)
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)
publisher	Multidisciplinary Digital Publishing Institute
publishDate	2021-06-12
url	http://hdl.handle.net/10261/372628 https://api.elsevier.com/content/abstract/scopus_id/85108604388
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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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