Refining mechanistic models to better predict larval and nymphal activity patterns of Ixodes scapularis
The black-legged tick (Ixodes scapularis), a key vector of Lyme disease, anaplasmosis, and babesiosis, exhibits regionally distinct patterns of seasonal activity driven by climate. Consequently, the relative timing of larval and nymphal activity varies across geographic locations, influencing pathogen transmission dynamics. Early-emerging nymphs may increase pathogen transmission, whereas early-emerging larvae may reduce transmission. In addition, synchrony between the two life-stages facilitates co-feeding transmission, which contributes to pathogen maintenance and coinfection risk. Temperature is thought to be an important driver of tick phenology, but existing mechanistic models that incorporate temperature fail to accurately capture the timing of larval and nymphal tick activity. To address this limitation, we developed a mechanistic model that includes two additional factors: humidity-dependent questing and low rates of overwinter development. To assess the value of these factors for explaining real-world patterns, we fitted alternative models to tick collection data from the National Ecological Observatory Network. In doing so, we found that explicitly incorporating humidity is necessary to reproduce observed tick phenology, with larval ticks being especially sensitive to relative humidity compared to other life stages. In addition, we found that accounting for humidity had a larger effect at Mid-Atlantic sites than at Northeastern sites, underscoring the importance of region-specific interactions between temperature and humidity in shaping I. scapularis phenology. By more accurately capturing tick seasonality compared to existing mechanistic models, our model illustrates the importance of accounting for factors beyond temperature for investigating how climate variability influences seasonal tick activity and pathogen transmission.