Drivers of population dynamics of at-risk populations change with pathogen arrival

Successful wildlife conservation in an era of global change requires understanding determinants of species population growth. However, when populations are faced with novel stressors, factors associated with healthy populations can change, necessitating shifting conservation strategies. For example, emerging infectious diseases can cause conditions previously beneficial to host populations to increase disease impacts. Here, we paired a population dataset of 265 colonies of the federally endangered Indiana bat (Myotis sodalis) with 50.7 logger-years of environmental data to explore factors that affected colony response to white-nose syndrome (WNS), an emerging fungal disease. We found variation in colony responses to WNS, ranging from extirpation to stabilization. The severity of WNS impacts was associated with hibernaculum temperature, as colonies of cold hibernacula declined more severely than those in relatively warm hibernacula, an association that arose following pathogen emergence...., , , # Data from: Drivers of population dynamics of at-risk populations change with pathogen arrival

[https://doi.org/10.5061/dryad.3xsj3txqb](https://doi.org/10.5061/dryad.3xsj3txqb)

This dataset contains population census data from 265 colonies of the Indiana bat (*Myotis sodalis*) impacted by white-nose syndrome. It additionally contains data on the temperature and humidity conditions of their hibernacula, information used to explore dynamic associations between environmental conditions and population response to pathogen invasion. 

## Description of the data and file structure

The data used in the study is provided in a single .csv file entitled \"data.csv.\" It contains yearly census and population growth data for each of the 265 Indiana bat colonies. Below is a description of the data contained in each column:

* Site: a unique name randomly assigned to each hibernaculum containing an Indiana bat colony. 
* State: U.S. state of colony.
* County: county of colony.
* Wyear: year census...