Mapping and understanding the digital biodiversity knowledge about vertebrates in the Atlantic Rainforest

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Authors

Gracielle Higino , Marcos Vinícius Carneiro Vital

Abstract

Biodiversity data are fundamental for macroecological studies. Recent efforts on gathering global data have not been sufficient to surpass biases and gaps. This incompleteness has serious consequences on conservation and ecological understanding, therefore it is of major importance to map, quantify and describe these flaws. In this paper we aimed to assess inventory incompleteness for the Atlantic Rainforest, concerning amphibians, birds, mammals and reptiles. We also investigate if some environmental variables are correlated to biodiversity knowledge. Our results suggest that this biome is not well known, with clusters of quality information near big conservation centres. Environmental variables commonly referred to as indicators of species richness were not correlated to inventory completeness, but when only well-sampled units were analysed, mammals’ rarefaction slopes could be considered correlated with potential evapotranspiration. Impacted regions which are underexplored need urgent investments in sampling efforts so we can know the real biodiversity of this biome and efficiently measure environmental impacts.

DOI

https://doi.org/10.32942/osf.io/c63vj

Subjects

Biodiversity, Ecology and Evolutionary Biology, Life Sciences, Other Ecology and Evolutionary Biology

Keywords

Atlantic Rainforest, data bias, inventory completeness, rarefaction curves

Dates

Published: 2019-03-19 07:26

Last Updated: 2019-03-26 00:20

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License

CC-By Attribution-ShareAlike 4.0 International