Review of the distribution of four endemicbird species in the La Libertad region

Authors

DOI:

https://doi.org/10.22497/v77mfw16

Keywords:

maximum entropy algorithm, Predictive distribution modeling, endemic, restricted and threatened birds

Abstract

Models of potential species distribution are a tool to visualize the range of suitable habitats where species
could occur. The objective was to carry out a review of the distribution of four endemic bird species
in a threatened situation, their niches and to design a potential predictive model of the distribution of
species in the La Libertad region. The points of presence of Aglaeactis aliciae, Aulacorhynchus huallagae,
Scytalopus unicolor y Asthenes dorbignyi huancavelicae, were obtained from the GBIF and eBird database,
and the climatic predictors from WorldClim. The potential niche modeling of species and geographic
distributions was carried out using maximum entropy algorithms (MaxEnt), in the Wallace platform
(V1.0.6.3), around the RStudio program and map design with the QGIS program. The AUC values
obtained for the species were A. aliciae 0.915, A. huallagae 0.804, S. unicolor 0.824 and A. dorbignyi
huancavalicae 0.904. If the AUC values are ≥ 0.75, they indicate a good performance of the model to
discriminate the areas with and without the presence of the species.

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Published

2024-12-23

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Artículos originales

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