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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Potential Distribution Modeling of Useful Brazilian Trees with Economic Importance
Author(s)
Vitor Augusto Cordeiro Milagres1 and Evandro Luiz Mendonça Machado2
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DOI:10.17265/2161-6264/2016.06.005
Affiliation(s)
1. Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, 13418-900, São Paulo, Brazil
2. Forest Engineering Department, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina, MG, 39100-000, Brazil
ABSTRACT
Brazil is one of the countries with the greatest biodiversity, being
covered by diverse ecosystems. Native trees commercially planted generate
numerous benefits for communities, providing cultural, recreational, tourism
riches, as well as ecological benefits, such as nutrient regulation and carbon sequestration. Thus, this work
aimed to generate
potential distribution modeling for the Brazilian forest species, to provide
information that will serve as a strategy for conservation, restoration and
commercial plantation of them, that is, encouraging the use of legal native
species in the forest sector. Eleven tree species and 19 bioclimatic variables were selected. The software Maxent 3.3.3 was
applied in the generation of the distribution models and the area under the curve
of receiver operating
characteristic (AUC) was used to analyze the model. The Jackknife test
contributed to identify which bioclimatic variables are most important or
influential in the model. The models showed AUC
values ranged from 0.857 to 0.983. The species with
higher AUC values were Araucaria
angustifolia, Mimosa scabrella and Euterpe edulis, respectively. The maximum temperature
of warmest month showed the highest influence for the most species, followed by
the mean diurnal range
and annual precipitation. It was observed that for some species, there were
restricted areas of environmental suitability, such as Araucaria angustifolia, Ilex
paraguariensis and Mimosa scabrella.
The models used could trace the potential distribution areas using the
environmental variables, and these models
contribute significantly to sustainable forest management.
KEYWORDS
Brazilian flora, Maxent, bioclimatic variables, distribution models, potential occurrence.
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