Índices de competição em nível de árvore individual para espécies da floresta ombrófila mista

Schons, Cristine Tagliapietra; Filho, Afonso Figueiredo; Longhi-Santos, Tomaz; Nascimento, Rodrigo Geroni Mendes

doi:10.18671/scifor.v48n128.13

Cited by 3 publications

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“…The importance value index (IVI) characterizes the most important species and species in a high number [48], that is, those most successful in exploiting the resources of their habitat (from a horizontal perspective), gathering the sum of the analysis criteria 'relative density', 'frequency', and 'dominance of each species in plant association'. Mixed Ombrophilous Forests (MOFs) in Southern Brazil are thus marked by the high values of IVI of A. angustifolia; that is, A. angustifolia and a few other more expressive species are dominant in these forests (Figure 1) [16,49].…”

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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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%

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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“…A competitividade entre árvores é convencionalmente quantificada na forma de índices, que representam um conjunto de características e interações bióticas e abióticas inerentes a uma árvore ou grupo de indivíduos HUANG, 2018). Os índices de competição são expressões matemáticas que refletem o grau de supressão de cada árvore em relação àquelas competidoras (MINATTI et al, 2019;SCHONS, 2020).…”

Section: Introductionunclassified

“…Esses índices podem ainda ser agrupados em duas subcategorias de competitividade, unilateral e bilateral. A competição unilateral representa a concorrência por radiação luminosa e considera que as árvores maiores não são afetadas por aquelas vizinhas menores, enquanto a competição bilateral se refere à disputa, sobretudo, por água e nutrientes, assumindo que os recursos são disputados por todas as árvores vizinhas (SCHONS et al, 2020) Investigações científicas sobre o comportamento de índices de competição em diferentes estratos de altura são escassas e podem subsidiar o desenvolvimento de planos, manutenção e monitoramento para a recuperação de áreas degradadas e auxiliar futuras pesquisas sobre a dinâmica de crescimento em povoamentos inequiâneos (CASTRO et al, 2014;MA et al, 2017;LUSTOSA JÚNIOR et al, 2019).…”

Section: Introductionunclassified

Índices De Competição Independentes Da Distância Em Um Fragmento De Mata Atlântica

Lafetá,

Santos,

Pimenta

et al. 2023

NAT

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Investigações científicas sobre o comportamento de índices de competição em diferentes estratos de altura são escassas e podem subsidiar o desenvolvimento de planos, manutenção e monitoramento para a recuperação de áreas degradadas e contribuir para o desenvolvimento de futuras pesquisas sobre a dinâmica de crescimento em povoamentos inequiâneos. O objetivo do presente trabalho foi avaliar a influência de índices de competição independentes da distância no comportamento biométrico de árvores em diferentes estratos de altura em um fragmento de Mata Atlântica sob recuperação florestal. O estudo foi conduzido em uma área de 2,53ha, onde se realizou o inventário com intensidade amostral de 15,81%. Calcularam-se seis índices de competição para árvores contidas nos estratos inferior, médio e superior do fragmento. Os índices cujos menores valores representam maior competição sobre a árvore-objetivo exibiram correlação positiva e se associaram melhor com os atributos biométricos. O comportamento de aspectos biométricos em relação à competitividade da árvore-objetivo foi distinto entre estratos de altura. Conclui-se que, para o local de estudo, o índice de IC2 demonstrou flexibilidade para analises sobre relações entre a competitividade e aspectos biométricos em distintos estratos de altura. Aspectos os biométricos lenhosos aumentam assintoticamente com a redução da competição sobre a árvore-objetivo. Palavras-chave: altura de árvores; competitividade; comportamento sigmoidal; relação funcional. Distance-independent competition indices in an Atlantic Forest fragment ABSTRACT: Scientific investigations on the behavior of competition indices in different height strata are scarce and can subsidize the development of plans, maintenance and monitoring for the degraded area recovery and contribute to the development of future research on growth dynamics in uneven stands. This work aimed to evaluate the influence of distance-independent competition indices on the biometric behavior of trees in different height strata within an Atlantic Forest fragment under forest recovery. This study was conducted in an area of 2.53ha, where inventory was carried out with a sampling intensity of 15.81%. Six competition indices were calculated for trees contained in the lower, middle and upper strata of the fragment. Indices whose lower values represent greater competition on the target tree exhibited a positive correlation and had a better association with the biometric attributes. The behavior of biometric aspects regarding the competitiveness of the target tree was different between height strata. It is concluded that, for the study site, IC2 competition index demonstrated flexibility for analyzing relationships between competitiveness and biometric aspects in different height strata. Woody biometrics aspects increase asymptotically with reduced competition over the target tree. Keywords: tree height; competitiveness; sigmoidal behavior; functional relationship.

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“…Kuntze; Nascimento (2016) for commercial species from the Amazon Forest; Canetti et al (2016) for Podocarpus lambertii Klotzsch ex Endl. ; Orellana & Vanclay (2018) and Schons et al (2020) for species from the Mixed Ombrophilous Forest in South Brazil.…”

Section: Introductionmentioning

confidence: 99%

Competition indexes for individual Pinus taeda L. trees in non-thinned commercial stands

Miranda,

Figueiredo Filho,

Curto

et al. 2022

Agraria

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The competition process in a forest plantation originates from the dispute for resources, which are essential for growth. Several indexes were proposed to assess competition for different species, but such studies for pine trees are scarce in the country. These competition indices are essential in the forest modelling process. Thus, the aim of this study was to assess competition indexes for a non-thinned Pinus taeda L. stand. Data from permanent sampling units in the Telêmaco Borba region, Paraná, Brazil, were used, and tree ages ranged from 3.4 to 21.4 years. Eight indexes were assessed with a Spearman correlation matrix with dendrometric and stand variables. Moreover, for each site class, the average trend of competition indexes by class diameter and age was analysed. There was no single index that correlated the most with all variables. For diameter, height and probability of mortality variables, the most correlated indexes were Glover and Hool, Lorimer, and Stage, respectively. The competition indexes have satisfactorily shown the average behaviour of competition in relation to age and site classes. The selection of a single index will depend on its use, being necessary specific tests according to purpose.

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Índices de competição em nível de árvore individual para espécies da floresta ombrófila mista

Cited by 3 publications

References 0 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

Índices De Competição Independentes Da Distância Em Um Fragmento De Mata Atlântica

Competition indexes for individual Pinus taeda L. trees in non-thinned commercial stands

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