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Pathogen spillover driven by rapid changes in bat ecology.

Peggy Eby1,2,3, Alison J Peel2, Andrew Hoegh4

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Bat pathogens pose a public health risk. This study reveals how land use and climate change drive bat behavior, increasing spillover risk of viruses like Hendra virus.

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Area of Science:

  • Ecology
  • Epidemiology
  • Conservation Biology

Background:

  • Bat-borne pathogens are a growing public health concern, with spillover events posing pandemic threats.
  • Identifying the mechanisms linking environmental changes to pathogen spillover from bats remains a significant challenge.
  • Previous studies often lacked the detailed data needed to connect host ecology, behavior, and viral dynamics to spillover events.

Purpose of the Study:

  • To investigate the mechanistic links between land-use change, bat behavior, and Hendra virus spillover events.
  • To analyze 25 years of data on environmental factors, bat ecology, and virus transmission.
  • To develop predictive models for bat virus spillover risk.

Main Methods:

  • Collected and analyzed 25 years of data on land-use change, bat behavior, and Hendra virus spillover events in Australia.
  • Utilized integrative Bayesian network models to identify relationships between environmental variables and spillover clusters.
  • Examined the influence of nutritional stress, habitat alteration, and climate on bat residency and behavior.

Main Results:

  • Bats have altered their behavior in response to environmental changes, exhibiting persistent residency in agricultural areas.
  • Land-use change and climate interactions create conditions for increased bat presence and periodic food shortages, driving spillover clusters.
  • Winter flowering patterns in remnant forests were associated with a reduced risk of spillover.

Conclusions:

  • Habitat loss and climate change mechanistically drive increased bat virus spillover risk by altering host behavior and ecology.
  • The study provides a framework for understanding bat virus spillover and developing ecological interventions.
  • Long-term ecological data are crucial for predicting and mitigating pandemic threats originating from wildlife reservoirs.