Data from: Resistance in persisting bat populations after white-nose syndrome invasion

  • Joseph R. Hoyt (Contributor)
  • Winifred F. Frick (Contributor)
  • Katy L. Parise (Contributor)
  • A. Marm Kilpatrick (Contributor)
  • Jeffrey T. Foster (University of New Hampshire, Northern Arizona University) (Contributor)
  • Kate E. Langwig (Contributor)

Dataset

Description

Increases in anthropogenic movement have led to a rise in pathogen introductions and the emergence of infectious diseases in naive host communities worldwide. We combined empirical data and mathematical models to examine changes in disease dynamics in little brown bat (Myotis lucifugus) populations following the introduction of the emerging fungal pathogen Pseudogymnoascus destructans, which causes the disease white-nose syndrome. We found that infection intensity was much lower in persisting populations than in declining populations where the fungus has recently invaded. Fitted models indicate that this is most consistent with a reduction in the growth rate of the pathogen when fungal loads become high. The data are inconsistent with the evolution of tolerance or an overall reduced pathogen growth rate that might be caused by environmental factors. The existence of resistance in some persisting populations of little brown bats offers a glimmer of hope that a precipitously declining species will persist in the face of this deadly pathogen. This article is part of the themed issue ‘Human influences on evolution, and the ecological and societal consequences’.,langwig_batloads_by_classAttached is the bats in each load class for model fitting. Count is the number of individuals sampled in each class. Frac is the number in each class divided by the total sampled. N is the count of bats at the site, and cases is the estimated number of total individuals infected, based on the sample. se is the standard error of the fraction, and Nse is the standard error of the cases. The column header "time" is the month and decimal day of sampling, with 12 added to the months of Jan - Apr (e.g. Jan is month 13). The columns "class" and "class character" are the load classes used in the modelling.langwig_data_for_accessibility.csv,
Date made availableJan 19 2017
PublisherDRYAD

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