A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Mammal assemblage composition predicts global patterns in emerging infectious disease risk (2021)


Wang, Y. X., Matson, K. D., Santini, L., Visconti, P., Hilbers, J. P., Huijbregts, M. A., Xu, Y., Prins, H. H., Allen, T., Huang, Z. Y., & de Boer, W. F. (2021). Mammal assemblage composition predicts global patterns in emerging infectious disease risk. Global Change Biology, 27(20), 4995-5007. https://doi.org/10.1111/gcb.15784


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Wang, Yingying X.G.; Matson, Kevin D.; Santini, Luca; Visconti, Piero; Hilbers, Jelle P.; Huijbregts, Mark A.J.; Xu, Yanjie; Prins, Herbert H.T.; Allen, Toph; Huang, Zheng. Y.X.; et al.

Lehti tai sarja: Global Change Biology

ISSN: 1354-1013

eISSN: 1365-2486

Julkaisuvuosi: 2021

Volyymi: 27

Lehden numero: 20

Artikkelin sivunumerot: 4995-5007

Kustantaja: Wiley

Julkaisumaa: Britannia

Julkaisun kieli: englanti

DOI: https://doi.org/10.1111/gcb.15784

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/77380


Tiivistelmä

As a source of emerging infectious diseases, wildlife assemblages (and related spatial patterns) must be quantitatively assessed to help identify high-risk locations. Previous assessments have largely focussed on the distributions of individual species; however, transmission dynamics are expected to depend on assemblage composition. Moreover, disease-diversity relationships have mainly been studied in the context of species loss, but assemblage composition and disease risk (e.g., infection prevalence in wildlife assemblages) can change without extinction. Based on the predicted distributions and abundances of 4,466 mammal species, we estimated global patterns of disease risk through the calculation of the community-level basic reproductive ratio R0, an index of invasion potential, persistence, and maximum prevalence of a pathogen in a wildlife assemblage. For density-dependent diseases, we found that, in addition to tropical areas which are commonly viewed as infectious disease hotspots, northern temperate latitudes included high-risk areas. We also forecasted the effects of climate change and habitat loss from 2015 to 2035. Over this period, many local assemblages showed no net loss of species richness, but the assemblage composition (i.e., the mix of species and their abundances) changed considerably. Simultaneously, most areas experienced a decreased risk of density-dependent diseases but an increased risk of frequency-dependent diseases. We further explored the factors driving these changes in disease risk. Our results suggest that biodiversity and changes therein jointly influence disease risk. Understanding these changes and their drivers and ultimately identifying emerging infectious disease hotspots can help health officials prioritise resource distribution.


YSO-asiasanat: tartuntataudit; zoonoosit; villieläimet; nisäkkäät; eläimistö; eliöyhteisöt; biodiversiteetti; ilmastonmuutokset; riskinarviointi; eläinmaantiede

Vapaat asiasanat: emerging infectious diseases; assemblage composition; climate change; habitat loss; infectious disease hotspots; species distributions


Liittyvät organisaatiot


OKM-raportointi: Kyllä

Alustava JUFO-taso: 3


Viimeisin päivitys 2021-18-11 klo 08:02