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Data for: Epidemiological landscape of Batrachochytrium dendrobatidis and its impact on amphibian diversity at global scale

Basanta, M. Delia1; Velasco, Julián A.1; González-Salazar, Constantino1

Published Dec 13, 2023 on Dryad. https://doi.org/10.5061/dryad.83bk3j9zv

Data files

Dec 13, 2023 version files 2.14 MB

Abstract

Chytridiomycosis, caused by the fungal pathogen Batrachochytrium dendrobatidis (Bd), is a major driver of amphibian decline worldwide. The global presence of Bd is driven by a synergy of factors, such as climate, species life history, and amphibian host suscep­tibility. Here, using a Bayesian data-mining approach, we modeled the epidemiologi­cal landscape of Bd to evaluate how infection varies across several spatial, ecological, and phylogenetic scales. We compiled global information on Bd occurrence, climate, species ranges, and phylogenetic diversity to infer the potential distribution and preva­lence of Bd. By calculating the degree of co-distribution between Bd and our set of environmental and biological variables (e.g. climate and species), we identified the factors that could potentially be related to Bd presence and prevalence using a geo­graphic correlation metric, epsilon (ε). We fitted five ecological models based on 1) amphibian species identity, 2) phylogenetic species variability values for a given species assemblage, 3) temperature, 4) precipitation and 5) all variables together. Our results extend the findings of previous studies by identifying the epidemiological landscape features of Bd. This ecological modeling framework allowed us to generate explicit spatial predictions for Bd prevalence at the global scale and a ranked list of species with high/low probability of Bd presence. Our geographic model identified areas with high potential for Bd prevalence (potential Bd-risk areas) and areas with low potential Bd prevalence as potential refuges (free Bd). At the amphibian assemblage level, we found a non-relationship with amphibian phylogenetic signals, but a significantly negative correlation between observed species richness and Bd prevalence indicated a potential dilution effect at the landscape scale. Our model may identify species and areas potentially susceptible and at risk for Bd presence, which could be used to prioritize regions for amphibian conservation efforts and to assess species and assemblage at risk.