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Impact of plot size on tropical forest structure and diversity estimation / Impacto del tamaño de la parcela en la estructura y estimación de la diversidad de los bosques tropicales
Bernardes-da-Silveira, Alan; Chaves-e-Carvalho, Samuel-de-Padua; Nicoletti, Marcos-Felipe; Silva, Carlos-Alberto; Drescher, Ronaldo; Peres-de-Lima-Chaves-e-Carvalho, Mariana; Sardo-Madi, Joao-Paulo; Topanotti, Larissa-Regina; Marques-Zeviani, Walmes; Lima-de-Andrade, Valdir-Carlos.
  • Bernardes-da-Silveira, Alan; Postgraduate program of Environmental and Forest Science. Federal University of Mato Grosso, Cuiabá, Brazil. BR
  • Chaves-e-Carvalho, Samuel-de-Padua; Postgraduate program of Environmental and Forest Science. Federal University of Mato Grosso, Cuiabá, Brazil. BR
  • Nicoletti, Marcos-Felipe; College of Agriculture and Veterinary. University of Santa Catarina, Lages, Brazil. BR
  • Silva, Carlos-Alberto; School of Forest, Fisheries, and Geomatics Sciences. University of Florida, Gainesville, United States of America. US
  • Drescher, Ronaldo; Postgraduate program of Environmental and Forest Science. Federal University of Mato Grosso, Cuiabá, Brazil. BR
  • Peres-de-Lima-Chaves-e-Carvalho, Mariana; Postgraduate program of Environmental and Forest Science. Federal University of Mato Grosso, Cuiabá, Brazil. BR
  • Sardo-Madi, Joao-Paulo; Postgraduate program of Forest Engineering. Federal University of Parana, Curitiba, Brazil. BR
  • Topanotti, Larissa-Regina; Department of Forest Economics and Sustainable Land-use Planning, Faculty of Forest Sciences and Forest Ecology. University of Göttingen, Göttingen, Germany. DE
  • Marques-Zeviani, Walmes; Departament of Statistics. Federal University of Parana, Curitiba, Brazil. BR
  • Lima-de-Andrade, Valdir-Carlos; Departament of Forest Engineering. Federal Univerisity of Tocantins, Gurupi, Brazil. BR
Rev. biol. trop ; 70(1)dic. 2022.
Article in English | LILACS, SaludCR | ID: biblio-1407242
ABSTRACT
Abstract

Introduction:

Inventories are essential for forest management, but, in the Amazon region, the absence of standardization produces information loss, low accuracy, and inconsistent measurements. This prevents valid comparisons and compromises the use of information in networks and software. Sampling unit size is of key importance in the inventory of native forests, particularly regarding accuracy and costs.

Objective:

To identify a plot size that provides adequate precision for dendrometric parameters in the Amazon.

Methods:

In Cotriguaçu, Mato Grosso, Brazil, we tested four plot sizes with six repetitions each 2 500, 5 000, 7 500, and 10 000 m². We measured diameter at breast height, population density, basal area, and biomass. We applied Shannon and Jaccard indexes; Weibull 2P and Gamma functions to fit the diametric distribution; and the Akaike Information Criterion for the best model.

Results:

There was a directly proportional relationship between plot area and population similarity, but diversity did not indicate significant alterations. Plot size did not affect dendrometric attributes and diametric distribution. Larger plot areas led to lower coefficients of variation and smaller confidence intervals. The Gamma function was the best model to represent the distributions of different plot sizes.

Conclusions:

For similar forests, we recommend the 2 500 m² plot to evaluate diameter at breast height, population density, basal area, and biomass.
RESUMEN
Resumen

Introducción:

Los inventarios son fundamentales para la gestión forestal, pero en la Amazonía la ausencia de estandarización produce pérdida de información, baja precisión y mediciones inconsistentes. Esto impide comparaciones válidas y compromete el uso de información en redes y programas. El tamaño de la unidad de muestreo es de importancia clave en el inventario de bosques nativos, particularmente en lo que respecta a la precisión y los costos.

Objetivo:

Identificar un tamaño de parcela que proporcione una precisión adecuada para los parámetros dendrométricos en la Amazonía.

Métodos:

En Cotriguaçu, Mato Grosso, Brasil, probamos cuatro tamaños de parcela con seis repeticiones cada una 2 500, 5 000, 7 500 y 10 000 m². Medimos diámetro a la altura del pecho, densidad de población, área basal y biomasa. Se aplicaron los índices de Shannon y Jaccard; Funciones Weibull 2P y Gamma para adaptarse a la distribución diametral; y el Criterio de Información de Akaike para el mejor modelo.

Resultados:

Hubo una relación directamente proporcional entre el área de parcela y la similitud poblacional, pero la diversidad no indicó alteraciones significativas. El tamaño de la parcela no afectó los atributos dendrológicos y la distribución diametral. Las áreas de parcela más grandes dieron lugar a coeficientes de variación más bajos e intervalos de confianza más pequeños. La función Gamma fue el mejor modelo para representar las distribuciones de diferentes tamaños de parcela.

Conclusiones:

Para bosques similares, recomendamos la parcela de 2 500 m² para evaluar diámetro a la altura del pecho, densidad de población, área basal y biomasa.
Subject(s)

Full text: Available Index: LILACS (Americas) Main subject: Forests / Sampling Studies / Amazonian Ecosystem Type of study: Observational study / Prognostic study Language: English Journal: Rev. biol. trop Year: 2022 Type: Article Institution/Affiliation country: College of Agriculture and Veterinary/BR / Departament of Forest Engineering/BR / Departament of Statistics/BR / Department of Forest Economics and Sustainable Land-use Planning, Faculty of Forest Sciences and Forest Ecology/DE / Postgraduate program of Environmental and Forest Science/BR / Postgraduate program of Forest Engineering/BR / School of Forest, Fisheries, and Geomatics Sciences/US

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Full text: Available Index: LILACS (Americas) Main subject: Forests / Sampling Studies / Amazonian Ecosystem Type of study: Observational study / Prognostic study Language: English Journal: Rev. biol. trop Year: 2022 Type: Article Institution/Affiliation country: College of Agriculture and Veterinary/BR / Departament of Forest Engineering/BR / Departament of Statistics/BR / Department of Forest Economics and Sustainable Land-use Planning, Faculty of Forest Sciences and Forest Ecology/DE / Postgraduate program of Environmental and Forest Science/BR / Postgraduate program of Forest Engineering/BR / School of Forest, Fisheries, and Geomatics Sciences/US