A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Risk factors for Lyme disease : a scale-dependent effect of host species diversity and a consistent negative effect of host phylogenetic diversity (2023)

Wang, Y. X., Matson, K. D., Prins, H. H. T., Xu, Y., Huang, Z. Y. X., & de Boer, W. F. (2023). Risk factors for Lyme disease : a scale-dependent effect of host species diversity and a consistent negative effect of host phylogenetic diversity. Ticks and tick-borne diseases, 14(1), Article 102073. https://doi.org/10.1016/j.ttbdis.2022.102073

JYU-tekijät tai -toimittajat

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Wang, Yingying X.,G.; Matson, Kevin D.; Prins, Herbert H. T.; Xu, Yanjie; Huang, Zheng Y. X.; de Boer, Willem F.

Lehti tai sarja: Ticks and tick-borne diseases

ISSN: 1877-959X

eISSN: 1877-9603

Julkaisuvuosi: 2023

Ilmestymispäivä: 30.10.2022

Volyymi: 14

Lehden numero: 1

Artikkelinumero: 102073

Kustantaja: Elsevier

Julkaisumaa: Alankomaat

Julkaisun kieli: englanti

DOI: https://doi.org/10.1016/j.ttbdis.2022.102073

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/83881

Tiivistelmä

Biodiversity can influence disease risk. One example of a diversity-disease relationship is the dilution effect, which suggests higher host species diversity (often indexed by species richness) reduces disease risk. While numerous studies support the dilution effect, its generality remains controversial. Most studies of diversity-disease relationships have overlooked the potential importance of phylogenetic diversity. Furthermore, most studies have tested diversity-disease relationships at one spatial scale, even though such relationships are likely scale dependent. Using Lyme disease as a model system, we investigated the effects of host species richness and phylogenetic relatedness on the number of reported Lyme disease cases in humans in the U.S.A. at two spatial scales (the county level and the state level) using piecewise structural equation modelling. We also accounted for relevant climatic and habitat-related factors and tested their correlations with the number of Lyme disease cases. We found that species assemblages with more related species (i.e., host species in the order Rodentia) were associated with more Lyme disease cases in humans. Host species richness correlated negatively with the number of Lyme disease cases at the state level (i.e., a dilution effect), a pattern that might be explained by the higher number of reservoir-incompetent species at high levels of species richness at this larger spatial scale. In contrast, a positive correlation was found between species richness and the number of Lyme disease cases at the county level, where a higher proportion of rodent species was associated with higher levels of species richness, potentially amplifying the disease risk. Our results highlight that analyse at a single spatial scale can miss some impacts of biodiversity on human health. Thus, multi-scale analyses with consideration of host phylogenetic diversity are critical for improving our understanding of diversity-disease relationships.

YSO-asiasanat: zoonoosit; borrelioosi; borrelioosi; isäntälajit; fylogenetiikka; habitaatti; pirstoutuminen; ilmastonmuutokset; biodiversiteetti; luonnon monimuotoisuus

Vapaat asiasanat: Lyme disease; dilution effect; host species richness; host phylogenetic diversity; habitat fragmentation; climatic variables

Liittyvät organisaatiot

OKM-raportointi: Kyllä

Raportointivuosi: 2023

Alustava JUFO-taso: 1