DOI: 10.5061/dryad.90cg565
title: Data from: Eco-evolutionary rescue promotes host-pathogen coexistence

description: Emerging infectious pathogens are responsible for some of the most severe
 host mass-mortality events in wild populations. Yet, effective pathogen
 control strategies are notoriously difficult to identify, in part because
 quantifying and forecasting pathogen spread and disease dynamics is
 challenging. Following an outbreak, hosts must cope with the presence of
 the pathogen, leading to host-pathogen coexistence or extirpation. Despite
 decades of research, little is known about host-pathogen coexistence
 post-outbreak when low host abundances and cryptic species make these
 interactions difficult to study. Using a novel disease-structured
 N-mixture model, we evaluate empirical support for three host-pathogen
 coexistence hypotheses (source-sink, eco-evolutionary rescue, and spatial
 variation in pathogen transmission) in a Neotropical amphibian community
 decimated by Batrachochytrium dendrobatidis (Bd) in 2004. During 2010 –
 2014, we surveyed amphibians in Parque Nacional G. D. Omar Torríjos
 Herrera, Coclé Province, El Copé, Panama. We found that the primary driver
 of host-pathogen coexistence was eco-evolutionary rescue, as evidenced by
 similar amphibian survival and recruitment rates between infected and
 uninfected hosts. Average apparent monthly survival rates of uninfected
 and infected hosts were both close to 96%, and the expected number of
 uninfected and infected hosts recruited (via immigration/reproduction) was
 less than one host per disease state per 20 m site. The secondary driver
 of host-pathogen coexistence was spatial variation in pathogen
 transmission as we found that transmission was highest in areas of low
 abundance but there was no support for the source-sink hypothesis. Our
 results indicate that changes in the host community (i.e., through genetic
 or species composition) can reduce the impacts of emerging infectious
 disease post-outbreak. Our disease-structured N-mixture model represents a
 valuable advancement for conservation managers trying to understand
 underlying host-pathogen interactions and provides new opportunities to
 study disease dynamics in remnant host populations decimated by virulent
 pathogens.
description: Average Bd infection
 intensity of each site per survey during dry 2013Average Bd infection
 intensity of each 20-m site per survey during dry 2013II_DRY_2013.csvAverage Bd infection intensity of each site per survey during dry 2014Average Bd infection intensity of each 20-m site per survey during dry 2014II_DRY_2014.csvAverage Bd infection intensity of each site per survey during wet 2010Average Bd infection intensity of each 20-m site per survey during wet 2010II_WET_2010.csvAverage Bd infection intensity of each per survey during wet 2011Average Bd infection intensity of each 20-m site per survey during wet 2011II_WET_2011.csvAverage Bd infection intensity of each site per survey during wet 2012Average Bd infection intensity of each 20-m site per survey during wet 2012II_WET_2012.csvAverage Bd infection intensity of each site per survey during wet 2013Average Bd infection intensity of each 20-m site per survey during wet 2013II_WET_2013.csvNumber of observed infected amphibians captured on each per survey during dry 2013Number of observed infected amphibians captured on each 20-m site per survey during dry 2013IN_DRY_2013.csvNumber of observed infected amphibians captured on each site per survey during dry 2014Number of observed infected amphibians captured on each 20-m site per survey during dry 2014IN_DRY_2014.csvNumber of observed infected amphibians captured on each 20-m site per survey during wet 2010Number of observed infected amphibians captured on each 20-m site per survey during wet 2010IN_WET_2010.csvNumber of observed infected amphibians captured on each 20-m site per survey during wet 2011Number of observed infected amphibians captured on each 20-m site per survey during wet 2011IN_WET_2011.csvNumber of observed infected amphibians captured on each 20-m site per survey during wet 2012Number of observed infected amphibians captured on each 20-m site per survey during wet 2012IN_WET_2012.csvNumber of observed infected amphibians captured on each 20-m site per survey during wet 2013Number of observed infected amphibians captured on each 20-m site per survey during wet 2013IN_WET_2013.csvNumber of observed uninfected amphibians captured on each 20-m site per survey during dry 2013Number of observed uninfected amphibians captured on each 20-m site per survey during dry 2013NOT_DRY_2013.csvNumber of observed uninfected amphibians captured on each 20-m site per survey during dry 2014Number of observed uninfected amphibians captured on each 20-m site per survey during dry 2014NOT_DRY_2014.csvNumber of observed uninfected amphibians captured on each 20-m site per survey during wet 2010Number of observed uninfected amphibians captured on each 20-m site per survey during wet 2010NOT_WET_2010.csvNumber of observed uninfected amphibians captured on each 20-m site per survey during wet 2011Number of observed uninfected amphibians captured on each 20-m site per survey during wet 2011NOT_WET_2011.csvNOT_WET_2012Number of observed uninfected amphibians captured on each 20-m site per survey during wet 2012Number of observed uninfected amphibians captured on each 20-m site per survey during wet 2012NOT_WET_2012.csvNumber of observed uninfected amphibians captured on each 20-m site per survey during wet 2013Number of observed uninfected amphibians captured on each 20-m site per survey during wet 2013NOT_WET_2013.csv