MODELING DIAMETER DISTRIBUTION OF TREE SPECIES IN A SEMIDECIDUOUS FOREST FRAGMENT

ABSTRACT Modeling diameter distribution in natural forests is an important tool for understanding the native woody species dynamics, supporting decision-making for degraded lands management and restoration. Therefore, this work aimed to fit probabilistic density functions to evaluate the diameter st...

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Main Authors: Flaick Rodrigo de Lima Ferreira, Allan Libanio Pelissari, Vinicius Costa Cysneiros, Carla Krulikowski Rodrigues, Lucas Araujo Moura, Eduardo Resende Girardi Marques
Format: Article
Language:English
Published: Sociedade de Investigações Florestais 2023-01-01
Series:Revista Árvore
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622023000100201&lng=en&tlng=en
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author Flaick Rodrigo de Lima Ferreira
Allan Libanio Pelissari
Vinicius Costa Cysneiros
Carla Krulikowski Rodrigues
Lucas Araujo Moura
Eduardo Resende Girardi Marques
author_facet Flaick Rodrigo de Lima Ferreira
Allan Libanio Pelissari
Vinicius Costa Cysneiros
Carla Krulikowski Rodrigues
Lucas Araujo Moura
Eduardo Resende Girardi Marques
author_sort Flaick Rodrigo de Lima Ferreira
collection DOAJ
description ABSTRACT Modeling diameter distribution in natural forests is an important tool for understanding the native woody species dynamics, supporting decision-making for degraded lands management and restoration. Therefore, this work aimed to fit probabilistic density functions to evaluate the diameter structure of three tree species with economic interest, such as Campomansesia xanthocarpa Marl. Ex. O. Berg, Piptadenia gonoacantha (Mart.) J.F. Macbr. and Zeyheria tuberculosa (Vell.) Bureau ex Verl., in a Semideciduous Seasonal Forest fragment at São Paulo State, Brazil. The data came from 83 temporary plots of 10 m x 20 m systematically distributed along 164 ha. Log-normal, Gamma, and Weibull functions were fitted to the three species using the fitdistrplus-package in the R program. Kolmogorov-Smirnov's adherence test was used to evaluate the fits at a 5% probability level. The functions were selected employing Akaike's Information Criterion (AIC) and Schwarz's Bayesian Information Criterion (BIC), in addition to a graphical analysis of the fitted functions. The results indicated that the three species diameter structure is positively asymmetric, representing the exponential pattern, representing continuous natural regeneration. AIC and BIC statistics indicated the Log-normal function to describe the diameter distribution of C. xanthocarpa and Z. tuberculosa, while the Gamma function was the most appropriate for P. gonoacantha. For the three species, the graphical analysis showed the Gamma function results in the best fit without tendency for estimating frequency density per diameter class.
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spelling doaj.art-9cecac1c97334f16bd8da41d3b13bdce2023-01-24T07:35:02ZengSociedade de Investigações FlorestaisRevista Árvore1806-90882023-01-014710.1590/1806-908820230000001MODELING DIAMETER DISTRIBUTION OF TREE SPECIES IN A SEMIDECIDUOUS FOREST FRAGMENTFlaick Rodrigo de Lima Ferreirahttps://orcid.org/0000-0002-1690-7614Allan Libanio Pelissarihttps://orcid.org/0000-0002-0915-0238Vinicius Costa Cysneiroshttps://orcid.org/0000-0002-1365-9360Carla Krulikowski Rodrigueshttps://orcid.org/0000-0001-5551-1914Lucas Araujo Mourahttps://orcid.org/0000-0002-0809-3892Eduardo Resende Girardi Marqueshttps://orcid.org/0000-0002-8690-3758ABSTRACT Modeling diameter distribution in natural forests is an important tool for understanding the native woody species dynamics, supporting decision-making for degraded lands management and restoration. Therefore, this work aimed to fit probabilistic density functions to evaluate the diameter structure of three tree species with economic interest, such as Campomansesia xanthocarpa Marl. Ex. O. Berg, Piptadenia gonoacantha (Mart.) J.F. Macbr. and Zeyheria tuberculosa (Vell.) Bureau ex Verl., in a Semideciduous Seasonal Forest fragment at São Paulo State, Brazil. The data came from 83 temporary plots of 10 m x 20 m systematically distributed along 164 ha. Log-normal, Gamma, and Weibull functions were fitted to the three species using the fitdistrplus-package in the R program. Kolmogorov-Smirnov's adherence test was used to evaluate the fits at a 5% probability level. The functions were selected employing Akaike's Information Criterion (AIC) and Schwarz's Bayesian Information Criterion (BIC), in addition to a graphical analysis of the fitted functions. The results indicated that the three species diameter structure is positively asymmetric, representing the exponential pattern, representing continuous natural regeneration. AIC and BIC statistics indicated the Log-normal function to describe the diameter distribution of C. xanthocarpa and Z. tuberculosa, while the Gamma function was the most appropriate for P. gonoacantha. For the three species, the graphical analysis showed the Gamma function results in the best fit without tendency for estimating frequency density per diameter class.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622023000100201&lng=en&tlng=enDiameter structureProbabilistic density functionsAdherence test
spellingShingle Flaick Rodrigo de Lima Ferreira
Allan Libanio Pelissari
Vinicius Costa Cysneiros
Carla Krulikowski Rodrigues
Lucas Araujo Moura
Eduardo Resende Girardi Marques
MODELING DIAMETER DISTRIBUTION OF TREE SPECIES IN A SEMIDECIDUOUS FOREST FRAGMENT
Revista Árvore
Diameter structure
Probabilistic density functions
Adherence test
title MODELING DIAMETER DISTRIBUTION OF TREE SPECIES IN A SEMIDECIDUOUS FOREST FRAGMENT
title_full MODELING DIAMETER DISTRIBUTION OF TREE SPECIES IN A SEMIDECIDUOUS FOREST FRAGMENT
title_fullStr MODELING DIAMETER DISTRIBUTION OF TREE SPECIES IN A SEMIDECIDUOUS FOREST FRAGMENT
title_full_unstemmed MODELING DIAMETER DISTRIBUTION OF TREE SPECIES IN A SEMIDECIDUOUS FOREST FRAGMENT
title_short MODELING DIAMETER DISTRIBUTION OF TREE SPECIES IN A SEMIDECIDUOUS FOREST FRAGMENT
title_sort modeling diameter distribution of tree species in a semideciduous forest fragment
topic Diameter structure
Probabilistic density functions
Adherence test
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622023000100201&lng=en&tlng=en
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