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Authors
Abstract(s)
A restauração de ecossistemas degradados representa um desafio em iniciar um
processo de sucessão, principalmente quando as atividades antrópicas ocasionaram
severas alterações nas características das formações florestais originais de um
determinado local. O objetivo deste trabalho foi avaliar e modelar o crescimento inicial
e sobrevivência de 15 espécies arbóreas nativas do Brasil em área de restauração
florestal, utilizando três modelos matemáticos não lineares (Logistico, Gompertz e
Chapman-Richards). Ao longo de um período de 48 meses após plantio, foram
avaliados diâmetro do colo (mm), altura total (m), área de projeção de copa (m²),
volume de copa (m³) e sobrevivência. A seleção do modelo mais adequado para cada
espécie e variável avaliada teve como base o Critério de Informação Akaike, Critério de
Informação Bayesiano, erro padrão da estimativa e coeficiente de determinação. Os
modelos geraram excelentes estatísticas para todos os parâmetros em todas as variáveis,
com melhores estatísticas para diâmetro de colo e altura total. O percentual de
sobrevivência foi elevado para a maioria das espécies, com destaque para S.
mauritianum, C. americana, G. polymorpha, I. uruguensis, P. dubium, P. sellowii e Z.
rhoifolium. As espécies que se destacaram no crescimento em diâmetro do colo, altura
total, área de projeção de copa e volume de copa, foram M. scabrella, I. uruguensis, Z.
rhoifolium, C. urucurana, S. terebinthifolius, P. dubium, T. micranta, C. floribundus, S.
mauritianum e G. ulmifolia, espécies altamente recomendadas em ambientes com
condições ambientais semelhantes aos da área estudada. Com base nos resultados
recomenda-se realizar o monitoramento a longo prazo para caracterizar melhor o
comportamento do crescimento das espécies avaliadas no ecossistema em restauração.
Restoring degraded ecosystems represents a challenge in initiating a succession process, especially when human activities have caused severe changes in the characteristics of the original forest systems in a given location. The objective of this work was to evaluate and model the initial growth and survival of 15 native tree species in Brazil in a forest restoration area, using three non-linear mathematical models (Logistic, Gompertz and Chapman-Richards). In the first 48 months after planting, collar diameter (mm), total height (m), crown area (m²), crown volume (m³) and survival were evaluated. The selection of the most appropriate model for each species and variable evaluated was based on Akaike Information Criterion, Bayesian Information Criterion, standard error of the estimate, and coefficient of determination. The models generated excellent statistics for all parameters in all variables, with better statistics for collar diameter and total height. The survival percentage was high for most species, in particular S. mauritianum, C. americana, G. polymorpha, I. uruguensis, P. dubium, P. sellowii and Z. rhoifolium. The species that with higher growth in collar diameter, total height, crown area and crown volume, were M. scabrella, I. uruguensis, Z. rhoifolium, C. urucurana, S. terebinthifolius, P. dubium, T. micranta, C. floribundus, S. mauritianum and G. ulmifolia, species highly recommended in environments with environmental conditions similar to those found in the study area. Based on the results, long-term monitoring is recommended to better characterize the growth behavior of the species assessed in the ecosystem under restoration.
Restoring degraded ecosystems represents a challenge in initiating a succession process, especially when human activities have caused severe changes in the characteristics of the original forest systems in a given location. The objective of this work was to evaluate and model the initial growth and survival of 15 native tree species in Brazil in a forest restoration area, using three non-linear mathematical models (Logistic, Gompertz and Chapman-Richards). In the first 48 months after planting, collar diameter (mm), total height (m), crown area (m²), crown volume (m³) and survival were evaluated. The selection of the most appropriate model for each species and variable evaluated was based on Akaike Information Criterion, Bayesian Information Criterion, standard error of the estimate, and coefficient of determination. The models generated excellent statistics for all parameters in all variables, with better statistics for collar diameter and total height. The survival percentage was high for most species, in particular S. mauritianum, C. americana, G. polymorpha, I. uruguensis, P. dubium, P. sellowii and Z. rhoifolium. The species that with higher growth in collar diameter, total height, crown area and crown volume, were M. scabrella, I. uruguensis, Z. rhoifolium, C. urucurana, S. terebinthifolius, P. dubium, T. micranta, C. floribundus, S. mauritianum and G. ulmifolia, species highly recommended in environments with environmental conditions similar to those found in the study area. Based on the results, long-term monitoring is recommended to better characterize the growth behavior of the species assessed in the ecosystem under restoration.
Description
Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do Paraná
Keywords
Espécies arbóreas Restauração florestal