Systematic shifts in the variation among host individuals must be considered in climate-disease theory

To make more informed predictions of host-pathogen interactions under climate change, studies have incorporated the thermal performance of host, vector and pathogen traits into disease models to quantify effects on average transmission rates. However, this body of work has omitted the fact that variation in susceptibility among individual hosts affects disease spread and long-term patterns of host population dynamics. Furthermore, and especially for ectothermic host species, variation in susceptibility is likely to be plastic, influenced by variables such as environmental temperature. For example, as host individuals respond idiosyncratically to temperature, this could affect the population-level variation in susceptibility, such that there may be predictable functional relationships between variation in susceptibility and temperature. Quantifying the relationship between temperature and among-host trait variation will therefore be critical for predicting how climate change and disease will interact to influence host-pathogen population dynamics. Here, we use a model to demonstrate how short-term effects of temperature on the distribution of host susceptibility can drive epidemic characteristics, fluctuations in host population sizes and probabilities of host extinction. Our results emphasize that more research is needed in disease ecology and climate biology to understand the mechanisms that shape individual trait variation, not just trait averages.

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Publication Details

Journal
Proceedings of the Royal Society B Biological Sciences
Published
2025-02-01
DOI
https://doi.org/10.1098/rspb.2024.2515
Citations
2
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
3.63

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article

Systematic shifts in the variation among host individuals must be considered in climate-disease theory

Joseph R. Mihaljevic, David J. Páez
2 citations
Proceedings of the Royal Society B Biological Sciences
Evolution and Genetic Dynamics
3.63
article

Systematic shifts in the variation among host individuals must be considered in climate-disease theory

Joseph R. Mihaljevic, David J. Páez
article en
2 citations

Abstract

To make more informed predictions of host-pathogen interactions under climate change, studies have incorporated the thermal performance of host, vector and pathogen traits into disease models to quantify effects on average transmission rates. However, this body of work has omitted the fact that variation in susceptibility among individual hosts affects disease spread and long-term patterns of host population dynamics. Furthermore, and especially for ectothermic host species, variation in susceptibility is likely to be plastic, influenced by variables such as environmental temperature. For example, as host individuals respond idiosyncratically to temperature, this could affect the population-level variation in susceptibility, such that there may be predictable functional relationships between variation in susceptibility and temperature. Quantifying the relationship between temperature and among-host trait variation will therefore be critical for predicting how climate change and disease will interact to influence host-pathogen population dynamics. Here, we use a model to demonstrate how short-term effects of temperature on the distribution of host susceptibility can drive epidemic characteristics, fluctuations in host population sizes and probabilities of host extinction. Our results emphasize that more research is needed in disease ecology and climate biology to understand the mechanisms that shape individual trait variation, not just trait averages.

Proceedings of the Royal Society B Biological SciencesVol. 292(2040)
United States Geological Survey (US), University of Washington (US), Northern Arizona University (US), Western Fisheries Research Center
Exxon Valdez Oil Spill Trustee Council, Division of Environmental Biology
Climate action
Openalex Percentile: Top 10%
Evolution and Genetic Dynamics
3.63
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