Climate and the Parasite Paradox: Tick–Host Networks Depend on Gradients of Environmental Overlap

This study investigates how climate gradients shape tick-host associations, testing the hypothesis that variations in climate leverage some associations, which can be ecosystem-specific. To test this hypothesis, we modelled tick-host associations across the Western Palearctic using climatic variables and a large dataset of georeferenced tick (seven species, <i>n</i> = 23,462) and vertebrate host records (<i>n</i> = 6.5 million across 162 species aggregated into 50 genera). Niche overlap with hosts is highly variable but consistently significant (<i>p</i> < 0.05) in every tested ecosystem of the target territory. Montane grasslands exhibit the lowest values of tick-host niche overlap, meaning that they support the smallest but still resilient set of available hosts. Host phylogenetic diversity (PD) depends on the ecosystem rather than tick species; PD is lowest in montane grasslands (supporting previous results) and in the case of <i>D. reticulatus</i> in savannas and scrubland. Nestedness of tick-host networks, known to be related to the resilience of parasite-host networks, is highest in climatically extreme ecosystems, reflecting adaptability of tick-host networks, as measured by niche overlap on modelled distribution. Multidimensional scaling confirms that host community composition and niche overlap vary significantly across ecosystems, supporting the hypothesis of host rewiring under diverse climatic conditions. These findings may have important implications for the concept of community composition and the circulation of tick-borne pathogens.

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Publication Details

Journal
Pathogens
Published
2025-10-10
DOI
https://doi.org/10.3390/pathogens14101025
Citations
1
Primary Topic
Insect and Pesticide Research
Type
article
Field-Weighted Citation Impact
1.67

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article

Climate and the Parasite Paradox: Tick–Host Networks Depend on Gradients of Environmental Overlap

Agustín Estrada‐Peña
1 citations
Pathogens
Insect and Pesticide Research
1.67
article

Climate and the Parasite Paradox: Tick–Host Networks Depend on Gradients of Environmental Overlap

Agustín Estrada‐Peña
article en
1 citations

Abstract

This study investigates how climate gradients shape tick-host associations, testing the hypothesis that variations in climate leverage some associations, which can be ecosystem-specific. To test this hypothesis, we modelled tick-host associations across the Western Palearctic using climatic variables and a large dataset of georeferenced tick (seven species, <i>n</i> = 23,462) and vertebrate host records (<i>n</i> = 6.5 million across 162 species aggregated into 50 genera). Niche overlap with hosts is highly variable but consistently significant (<i>p</i> < 0.05) in every tested ecosystem of the target territory. Montane grasslands exhibit the lowest values of tick-host niche overlap, meaning that they support the smallest but still resilient set of available hosts. Host phylogenetic diversity (PD) depends on the ecosystem rather than tick species; PD is lowest in montane grasslands (supporting previous results) and in the case of <i>D. reticulatus</i> in savannas and scrubland. Nestedness of tick-host networks, known to be related to the resilience of parasite-host networks, is highest in climatically extreme ecosystems, reflecting adaptability of tick-host networks, as measured by niche overlap on modelled distribution. Multidimensional scaling confirms that host community composition and niche overlap vary significantly across ecosystems, supporting the hypothesis of host rewiring under diverse climatic conditions. These findings may have important implications for the concept of community composition and the circulation of tick-borne pathogens.

PathogensVol. 14(10)
Universidad de Zaragoza (ES), Ministry of Health (TT)
Centers for Disease Control and Prevention
Openalex Percentile: Top 14%
Insect and Pesticide Research
1.67
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Climate and the Parasite Paradox: Tick–Host Networks Depend on Gradients of Environmental Overlap — Agustín Estrada‐Peña · Pathogens (2025) | TGRS Research Map | TGRS