@Article{SampaioCava:2023:MiReNu,
author = "Sampaio, Augusto C{\'e}sar Praciano and Cavalcante, Arn{\'o}bio
de Mendon{\c{c}}a Barreto",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Accurate species distribution models: minimum required number of
specimen records in the Caatinga biome",
journal = "Anais da Academia Brasileira de Ciencias",
year = "2023",
volume = "95",
number = "2",
pages = "1--11",
note = "{Setores de Atividade: Pesquisa e desenvolvimento
cient{\'{\i}}fico.}",
keywords = "MaxEnt, minimum number, prevalence, sample size, simulated
species.",
abstract = "Species distribution models (SDMs) are one of the most widely used
tools to predict areas with potential for occurrence of native,
invasive and endangered species, based on current and future
environmenal and climate conditions. Despite their global use,
evaluating the accuracy of SDMs based only on presence records is
still a challenge. The performance of models depends on the sample
size and species prevalence. Recently, studies to model the
distribution of species in the Caatinga biome in Northeast Brazil
have gained force, raising the question about the minimum number
of presence records adjusted to different prevalences that are
necessary to generate accurate SDMs. In this context, the
objective of this study was to indicate minimum numbers of
presence records for species with different prevalences in the
Caatinga biome to obtain accurate SDMs. For that purpose, we used
a method involving simulated species and performed repeated
evaluations of the models performance in function of the sample
size and prevalence. The results indicated that for this approach
in the Caatinga biome, the minimum required numbers of specimen
records were 17 and 30 for species with narrow and widespread
distributions, respectively.",
doi = "10.1590/0001-3765202320201421",
url = "http://dx.doi.org/10.1590/0001-3765202320201421",
issn = "0001-3765",
label = "lattes: 7282660743064601 2 SampaioCava:2023:MiReNu",
language = "en",
targetfile = "GyphZPPwgPx6mZ8zVcQnGQC.pdf",
urlaccessdate = "17 maio 2024"
}