Growth of Araucaria angustifolia, Cedrela fissilis and Ocotea porosa in different locations within the Araucaria forest in the southern Brazil

Stepka, Thiago Floriani; Mattos, P. P. de; Filho, Afonso Figueiredo; Braz, E. M.; Machado, Sebastião do Amaral

doi:10.1016/j.foreco.2021.118941

Cited by 9 publications

(8 citation statements)

References 23 publications

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“…The studied MOF is stagnant and overstocked since Brazilian legislation prohibited the exploitation of the forest's native species to preserve its remnants [55,56]. Indications show that the trees in these forests are in high competition, and the permanence of unmanaged old trees will likely depreciate the forest's diametric structure since species such as A. angustifolia depend on light to grow and establish themselves in the forest [55].…”

Section: Discussionmentioning

confidence: 99%

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Individual Tree Basal Area Increment Models for Brazilian Pine (Araucaria angustifolia) Using Artificial Neural Networks

Barbosa

Costa

Schons

et al. 2022

Forests

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This research aimed to develop statistical models to predict basal area increment (BAI) for Araucaria angustifolia using Artificial Neural Networks (ANNs). Tree species were measured for their biometric variables and identified at the species level. The data were subdivided into three groups: (1) intraspecific competition with A. angustifolia; (2) the first group of species that causes interspecific competition with A. angustifolia; and (3) the second group of species that causes interspecific competition with A. angustifolia. We calculated both the dependent and independent distance and the described competition indices, considering the impact of group stratification. Multi-layer Perceptron (MLP) ANN was structured for modeling. The main results were that: (i) the input variables size and competition were the most significant, allowing us to explain up to 77% of the A. angustifolia BAI variations; (ii) the spatialization of the competing trees contributed significantly to the representation of the competitive status; (iii) the separate variables for each competition group improved the performance of the models; and (iv) besides the intraspecific competition, the interspecific competition also proved to be important to consider. The ANN developed showed precision and generalization, suggesting it could describe the increment of a species common in native forests in Southern Brazil and with potential for upcoming forest management initiatives.

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Section: Discussionmentioning

confidence: 99%

“…For MOFs, this possibility helps ensure the maintenance of this typology by favoring its regeneration and development. Furthermore, correct strategies for interventions based on reliable data can guarantee the possibility of economic returns to landowners while avoiding conversion to other uses [55,62].…”

Section: Discussionmentioning

confidence: 99%

Individual Tree Basal Area Increment Models for Brazilian Pine (Araucaria angustifolia) Using Artificial Neural Networks

Barbosa

Costa

Schons

et al. 2022

Forests

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“…The species Araucaria angustifolia present different growth pattern, when growing in altitudinal gradients in Santa Catarina State (Ricken et al, 2022). Also, the importance to study growth pattern of species in different sites and regions was highlighted by Stepka et al (2021). These authors studied three species (A. angustifolia, Cedrela fissilis and Ocotea porosa) in six different sites, in the three South States of Brazil (Paraná, Santa Catarina and Rio Grande do Sul), and they showed that the growth pattern may differ, when the environment differs.…”

Section: Introductionmentioning

confidence: 99%

Diameter growth and age of jaboticaba trees (Plinia peruviana (Poir.) Govaerts) native from Southwest of Paraná, Brazil, based on growth-rings

Moura,

Canetti,

Braz

et al. 2024

Braz. J. Biol.

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The jaboticaba tree (Plinia peruviana (Poir.) Govaerts) is a native Brazilian species, and its fruits are very popular in Brazil. The purpose of this study was to model the diameter growth, and determine the age of jaboticaba trees in four natural populations in Southwest of Paraná State, Brazil. The knowledge of the growth dynamics of this species is essential to assist management and conservation strategies and to discover when this species was established in the region. Core samples were collected to obtain complete growth series by measurement of annual growth rings. The series were crossdated, seven growth models were adjusted, and the best model for each site and a general model were selected using statistics rules. The time series spanned periods of ~75 to ~100 years, and growth ranged between 0.27 and 0.37 cm year-1. Chapman-Richards’ model showed better adherence for locations individually, and Monomolecular when grouped. Because to the age reached by the jaboticaba trees and the high density of this species in these natural populations, consequently named “jaboticabais”, it was inferred that there was an anthropogenic action in the dispersion and formation of the settlements through the indigenous and caboclos that inhabited the region before 1940. Also, this is the first work to register and verify the fusion of trunks for species of the Plinia genus using double piths found in samples, a feature that must be considered to avoid overestimating the age of jaboticaba trees based solely on measuring tree diameter.

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“…Até o século XIX, a FOM ocupava 20 milhões de hectares no sul do Brasil (GUERRA et al, 2008). Ao longo do século XX, até a década de 1970, a FOM foi considerada o ecossistema mais importante do sul do Brasil, sustentando grande parte da economia madeireira florestal, sendo a própria A. angustifolia uma das espécies madeireiras mais importantes, devido ao seu alto potencial de crescimento e valor da madeira produzida (REITZ et al, 1978;STEPKA et al, 2021). Devido à intensa exploração, principalmente nas décadas de 1950 a 1970, a FOM sofreu uma forte retração em sua distribuição com remanescentes ocupando atualmente apenas 3 a 13% da área original (WREGE et al, 2017;MARCHIORO et al, 2020).…”

Section: Introductionunclassified

“…Para A. angustifolia existem alguns estudos de corte seletivo (SOUZA et al, 2008;2012;EBLING;NETTO, 2015) e de diversidade genética (BITTENCOURT; SEBBENN, 2007;PATREZE;TSAI, 2010;FERREIRA et al, 2012;SANT'ANNA et al, 2013;COSTA et al, 2021), mas muito poucos estudos sobre os impactos da exploração madeireira na diversidade genética da espécie (MEDRI et al, 2003;DAL BEM et al, 2015;INZA et al, 2018). Os avanços nesse tipo de pesquisa são necessários devido às grandes diferenças genéticas observadas entre as populações, de modo que diferentes populações da mesma espécie podem responder de maneira diferente ao corte seletivo (ZECHINI et al, 2018;MONTAGNA et al, 2019;SILVA et al, 2020;SOUSA et al, 2020;COSTA et al, 2021;MACHADO et al, 2021). Além disso, é importante estudar e desenvolver regras de exploração que, além de conservar os recursos naturais, também gerem retorno econômico, principalmente para os pequenos produtores típicos de grande parte de sua distribuição no Brasil (BITTENCOURT et al, 2004).…”

Section: Introductionunclassified

Efeitos de diferentes intensidades de corte seletivo sobre a diversidade e estrutura genética de uma população natural de >i<Araucaria angustifolia>/i< (Bertol.) Kuntze (Araucariaceae) acessada por marcadores microssatélites

Roque¹

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DEDICATÓRIA"Dedico esse trabalho aos meus pais, Neuzi e Domingos Roque". AGRADECIMENTOSÀ Deus e a todas as forças positivas do universo que me permitiram chegar até aqui. À minha família, meus pais, Domingos e Neuzi, minha irmã Fabiana e meu sobrinho Lucas, por acreditarem em mim e me apoiarem em todos os passos até aqui.Ao professor Evandro Tambarussi, pela orientação desde o mestrado, pelo conhecimento compartilhado, pela compreensão nos momentos necessários e principalmente pela amizade que me ofereceu.Ao Professor Alexandre Sebbenn por toda ajuda no desenvolvimento da tese, pelas madrugadas de análises, conversas e conhecimentos compartilhados.Ao Professor David Boshier pela honra de ter aceitado ser meu coorientador, pelos direcionamentos, disponibilidade, conhecimento e suporte que sempre ofereceu.Ao Professor Afonso Figueiredo Filho por todo apoio oferecido a esse projeto, pelas contribuições e disponibilidade de sempre. Meu agradecimento também pela participação na comissão julgadora da minha banca de defesa.À Professora Maria Imaculada Zucchi por aceitar participar da comissão julgadora da minha banca de defesa. Aos demais professores que contribuíram com a minha formação ao longo do período de doutorado, em especial prof.

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Growth of Araucaria angustifolia, Cedrela fissilis and Ocotea porosa in different locations within the Araucaria forest in the southern Brazil

Cited by 9 publications

References 23 publications

Individual Tree Basal Area Increment Models for Brazilian Pine (Araucaria angustifolia) Using Artificial Neural Networks

Individual Tree Basal Area Increment Models for Brazilian Pine (Araucaria angustifolia) Using Artificial Neural Networks

Diameter growth and age of jaboticaba trees (Plinia peruviana (Poir.) Govaerts) native from Southwest of Paraná, Brazil, based on growth-rings

Efeitos de diferentes intensidades de corte seletivo sobre a diversidade e estrutura genética de uma população natural de >i<Araucaria angustifolia>/i< (Bertol.) Kuntze (Araucariaceae) acessada por marcadores microssatélites

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