Using crown characterisation variables as indicators of the vigour, competition and growth of Brazilian pine

Crown variables are used in growth and production models to increase the accuracy of estimates. These variablesare costly and difficult to measure, mainly in dense native forests such as mixed ombrophilous forests (MOF), whereAraucaria angustifolia is the predominant species. Thus, this study aimed...

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Detalles Bibliográficos
Autores: Barbosa, Lorena Oliveira, Finger, César Augusto Guimarães, Costa, Emanuel Arnoni, Campoe, Otávio Camargo, Schons, Cristine Tagliapietra
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Brasil
Institución:Universidade Federal de Lavras (UFLA)
Repositorio:Repositório Institucional da UFLA
Idioma:portugués
OAI Identifier:oai:repositorio.ufla.br:1/59566
Acceso en línea:http://repositorio.ufla.br/handle/1/59566
https://doi.org/10.2989/20702620.2021.1978825
Access Level:acceso abierto
Palabra clave:Araucária angustifólia
Incremento basal
Competição entre árvores
Vigor das árvores
Morfologia da copa
Basal increment
Tree competition
Tree vigour
Crown morphology
Descripción
Sumario:Crown variables are used in growth and production models to increase the accuracy of estimates. These variablesare costly and difficult to measure, mainly in dense native forests such as mixed ombrophilous forests (MOF), whereAraucaria angustifolia is the predominant species. Thus, this study aimed to evaluate the effect of qualitative andquantitative variables to describe the vigour of the crown, competition and growth of A. angustifolia in SouthernBrazil MOF. We selected trees in the MOF area and measured circumference at breast height (CBH) and total height(h). For the crowns, a ranking of values was established in the variables: Crown Shape (CS), Vertical crown Shape(VS), Distance between Branches (DB), Sociological Position (SP), percentage of Green Leaves (GL) and Crown Size(CZ). Periodic Annual Increment in basal area (PAIg) and a Competition Index (CI) were calculated. We used principalcomponent analysis (PCA) and Hierarchical Cluster Analysis (HCA) to describe and classify the sampled trees. Twogroups were generated: i) dominant and codominant trees, with higher growth, better vigour and better crown quality;and ii) suppressed trees with low vigour, consequently low increment and worse crown quality. The CI, when basedonly on diameter information, was inadequate to describe the competitive status of the trees, so information aboutcrowns was necessary. Qualitative crowns variables are important to classify the vigour, current level of competitionand to understand the different trends in A. angustifolia growth.