Modelling highly biodiverse areas in Brazil
Universidade Federal de Minas Gerais (UFMG)¦¦Brasil ; Universidade Federal do Paraná (UFPR)¦¦Brasil ; Instituto Federal Goiano (IF Goiano)¦¦Brasil ; Museo Argentino de Ciencias Naturales Bernardino Rivadavia (MACN)¦¦Argentina ; Universidade Federal de Viçosa (UFV)¦¦Brasil ; National University of Singapore (NUS)¦¦Cingapura ; Instituto Prístino¦¦Brasil ; Universidade Federal de Goiás (UFG)¦¦Brasil ; Universidade Federal da Integração Latino-Americana (UNILA)¦¦Brasil
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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.
Oliveira U, Soares-Filho BS, Santos AJ., Paglia AP, Brescovit AD, Carvalho CJ.B., et al. Modelling highly biodiverse areas in Brazil. Sci Rep. 2019 Abr;9:6355. doi:10.1038/s41598-019-42881-9.
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Climate and Land Use Alliance ; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) ; Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) ; Alexander von Humboldt Foundation ; Instituto Nacional de Ciência e Tecnologia dos Hymenoptera Parasitóides da Região Sudeste Brasileira (INCT-HYMPAR) ; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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