ArticleEcology and evolution2025
Modeling Phenological and Physiological Responses to Climate Warming in a Hypothetical Migratory Songbird-Mosquito System.
Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Modeling Phenological and Physiological Responses to Climate Warming in a Hypothetical Migratory Songbird-Mosquito System.Ecology and evolution · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given the strong temperature dependence of ectothermic vector physiology, climate warming is expected to profoundly impact many vector-borne diseases. Notably, endothermic hosts can also respond to warming by altering the timing of life history events like seasonal migration and reproduction, but relatively few predictive models of vector-borne disease have considered both phenological and physiological responses to climate warming. Here, we extend the Ross-MacDonald model for a vector-borne disease to incorporate temperature effects on host and vector phenology and physiology. We use this model to understand how projections of moderate and severe warming influence the emergence of a hypothetical vector-borne disease in a migratory bird. Modeled vector and host infection prevalence always increased under warming, and the increase was amplified when hosts failed to update their arrival phenology to keep pace with breeding site resources. While extreme warming scenarios yielded the highest infection prevalence, reduced vector survival in the hottest months caused late-season declines in transmission, altering seasonal patterns of infection. By considering host, vector, and parasite responses to temperature together, our modeling framework could be employed to help decipher otherwise non-intuitive wildlife infection outcomes under current and future climate conditions.
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