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Prioritization of key indicators for the classification of successional stages in regenerating subtropical Atlantic forest, Southern Brazil: a proposal based on multivariate order statistics

Author

Listed:
  • Adriano Bressane

    (Environmental Engineering Department)

  • Alexandre Siminski

    (Federal University of Santa Catarina (UFSC))

  • Isadora Gurjon Gomes

    (Environmental Engineering Department)

  • Carrie Peres Melo

    (São Paulo State University (UNESP))

  • Graziele Coraline Scofano Rosa

    (São Paulo State University (UNESP))

  • Amanda Louisi Santos Galvão

    (São Paulo State University (UNESP))

  • Mirela Beatriz Silva

    (São Paulo State University (UNESP))

  • Líliam César Castro Medeiros

    (Environmental Engineering Department)

  • Rogério Galante Negri

    (Environmental Engineering Department)

Abstract

Statement of problem. Brazilian guidelines establish a set of parameters to classify forest regeneration stages, but there are no criteria or evidence for prioritizing key indicators. Purpose. This study performed a comparative analysis between phytosociological parameters to verify the hypothesis that there is a difference in their explanatory power of the forest regeneration stages. Consequently, it shows the need to prioritize key indicators for classifying forest regeneration stages. Material and methods. The analyzes were carried out using a database of the Floristic Forest Inventory of Santa Catarina, Southern Brazil, composed of 177 sampling units of subtropical Atlantic forest (Mixed Ombrophilous Forest) characterized according to 12 quantitative and qualitative phytosociological parameters. Several statistical tests were performed to analyze the explanatory ability of the phytosociological parameters. Such process includes tests for multivariate ordering, principal component analysis (PCA), discriminant analysis (FDA and QDA), exploratory factor analysis (EFA), and multiple correspondence analysis (MCA). Afterward, is provided a ranking regarding the analyzed indicators based on their usefulness to separate forest regeneration stages, measured in terms of classification accuracy according to the QUEST (Quick Unbiased Efficient Statistical) algorithm. The hypothesis was verified with two-way tests at a significance level (α) equal to 0.05, for a test power (1-β) of 0.8 and a minimum detectable effect of medium size (ρ = 0.3). Results. Statistical significance tests confirmed the research hypothesis. Regarding both the qualitative and quantitative variables, the ranking resulting from the discriminant analysis provided the best accuracy (85.3%). In decreasing priority order, was defined the following parameter order: basal area, number of individuals and species, Shannon diversity index, diameter at breast height, total height, stem height, leaf litter, canopy structure, canopy cover, the density of lianas and epiphytes. Conclusions. The phytosociological parameters have statistically different explanatory power (p

Suggested Citation

  • Adriano Bressane & Alexandre Siminski & Isadora Gurjon Gomes & Carrie Peres Melo & Graziele Coraline Scofano Rosa & Amanda Louisi Santos Galvão & Mirela Beatriz Silva & Líliam César Castro Medeiros & , 2023. "Prioritization of key indicators for the classification of successional stages in regenerating subtropical Atlantic forest, Southern Brazil: a proposal based on multivariate order statistics," Environment Systems and Decisions, Springer, vol. 43(2), pages 232-241, June.
    • Handle: RePEc:spr:envsyd:v:43:y:2023:i:2:d:10.1007_s10669-022-09881-z
    DOI: 10.1007/s10669-022-09881-z
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    References listed on IDEAS

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    1. Aisbett, Emma & Doupé, Patrick & Tacconi, Luca, 2017. "Dynamic adjustment and the specification of empirical economic models of deforestation," Environment and Development Economics, Cambridge University Press, vol. 22(4), pages 470-489, August.
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