Modelling highly biodiverse areas in Brazil
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2019
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Traditional conservation techniques for mapping highly biodiverse areas assume there to be
satisfactory knowledge about the geographic distribution of biodiversity. There are, however, large
gaps in biological sampling and hence knowledge shortfalls. This problem is even more pronounced in
the tropics. Indeed, the use of only a few taxonomic groups or environmental surrogates for modelling
biodiversity is not viable in mega-diverse countries, such as Brazil. To overcome these limitations, we
developed a comprehensive spatial model that includes phylogenetic information and other several
biodiversity dimensions aimed at mapping areas with high relevance for biodiversity conservation. Our
model applies a genetic algorithm tool for identifying the smallest possible region within a unique biota
that contains the most number of species and phylogenetic diversity, as well as the highest endemicity
and phylogenetic endemism. The model successfully pinpoints small highly biodiverse areas alongside
regions with knowledge shortfalls where further sampling should be conducted. Our results suggest
that conservation strategies should consider several taxonomic groups, the multiple dimensions of
biodiversity, and associated sampling uncertainties.
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OLIVEIRA, Ubirajara et al. Modelling highly biodiverse areas in Brazil. Scientific Reports, San Francisco, v. 9, p. 6355, 2019. DOI: 10.1038/s41598-019-42881-9. Disponível em: https://www.nature.com/articles/s41598-019-42881-9. Acesso em: 9 fev. 2023.