2017
DOI: 10.1111/jbi.12956
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Migration and parasitism: habitat use, not migration distance, influences helminth species richness in Charadriiform birds

Abstract: 18Aim Habitat use and migration strategies of animals are often associated with spatial 19 variation in parasite pressure, but how they relate to one another is not well understood. 20Here we use a large dataset on helminth species richness of Charadriiform birds to test 21 whether higher habitat diversity and seasonal migration increase parasite richness in 22 avian hosts. 23Location Global. Main conclusions We suggest that birds exploiting diverse habitats and diets are 37 exposed to a more diverse parasit… Show more

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Cited by 36 publications
(44 citation statements)
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“…We focused on basic ecological factors and characterized the studied species according to: (i) migration and latitudinal distribution (hereafter called latitudinal dispersion: temperate resident, temperate partial or short‐distance migrant, temperate long‐distance migrant and tropical resident species) and (ii) diet (predominantly plant, animal or mixed diet). These traits represent intersection between those characteristics to which data are presently available for all the analysed species (including the tropical species) and the traits that were shown in earlier studies to exhibit associations with parasite abundance or prevalence (Gutiérrez et al., ; Hannon et al., ; Leung & Koprivnikar, ; Santoro et al., ; Waldenström et al., ). The categories of each characteristic were mapped onto the dendrogram of electrostatic potentials using a colour code to compare TLR4 phenotypic clustering with the ecological variable distribution.…”
Section: Methodsmentioning
confidence: 94%
“…We focused on basic ecological factors and characterized the studied species according to: (i) migration and latitudinal distribution (hereafter called latitudinal dispersion: temperate resident, temperate partial or short‐distance migrant, temperate long‐distance migrant and tropical resident species) and (ii) diet (predominantly plant, animal or mixed diet). These traits represent intersection between those characteristics to which data are presently available for all the analysed species (including the tropical species) and the traits that were shown in earlier studies to exhibit associations with parasite abundance or prevalence (Gutiérrez et al., ; Hannon et al., ; Leung & Koprivnikar, ; Santoro et al., ; Waldenström et al., ). The categories of each characteristic were mapped onto the dendrogram of electrostatic potentials using a colour code to compare TLR4 phenotypic clustering with the ecological variable distribution.…”
Section: Methodsmentioning
confidence: 94%
“…Here, we focused on the parasite fauna of host species across their entire range, so we included range polygons regardless of their seasonality (“resident”, “breeding season”, “non‐breeding season” and “passage”; Figure ). We also estimated species’ migration distances as the distance (km) between their breeding and non‐breeding range centroids (Gutiérrez, Rakhimberdiev, Piersma, & Thieltges, ). We acknowledge that differences among populations of a given species occur with respect to the presence or absence of migratory activity and in the amount or type of activity (e.g., total distance covered).…”
Section: Methodsmentioning
confidence: 99%
“…To do so, we fitted Bayesian mixed models in the package MCMCglmm in R. To account for the uncertainty in phylogenetic relationships, we first randomly sampled 100 trees from the downloaded 9,999 phylogenetic trees. As MCMCglmm handles only one phylogenetic tree per model, we further incorporated the subset in 100 MCMCglmm models within the package mulTree (Guillerme & Healy, ; Gutiérrez, Rakhimberdiev, Piersma, & Thieltges, ). Technical information on the model parameters used and the replicable code are provided in Appendix S6 (see also Karagicheva et al, ).…”
Section: Methodsmentioning
confidence: 99%