Näytä suppeat kuvailutiedot

dc.contributor.authorWang, Yingying X.G.
dc.contributor.authorMatson, Kevin D.
dc.contributor.authorSantini, Luca
dc.contributor.authorVisconti, Piero
dc.contributor.authorHilbers, Jelle P.
dc.contributor.authorHuijbregts, Mark A.J.
dc.contributor.authorXu, Yanjie
dc.contributor.authorPrins, Herbert H.T.
dc.contributor.authorAllen, Toph
dc.contributor.authorHuang, Zheng. Y.X.
dc.contributor.authorde Boer, Willem F.
dc.date.accessioned2021-08-18T05:38:56Z
dc.date.available2021-08-18T05:38:56Z
dc.date.issued2021
dc.identifier.citationWang, 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. <i>Global Change Biology</i>, <i>27</i>(20), 4995-5007. <a href="https://doi.org/10.1111/gcb.15784" target="_blank">https://doi.org/10.1111/gcb.15784</a>
dc.identifier.otherCONVID_98986831
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/77380
dc.description.abstractAs 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofseriesGlobal Change Biology
dc.rightsCC BY-NC-ND 4.0
dc.subject.otheremerging infectious diseases
dc.subject.otherassemblage composition
dc.subject.otherclimate change
dc.subject.otherhabitat loss
dc.subject.otherinfectious disease hotspots
dc.subject.otherspecies distributions
dc.titleMammal assemblage composition predicts global patterns in emerging infectious disease risk
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202108184543
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange4995-5007
dc.relation.issn1354-1013
dc.relation.numberinseries20
dc.relation.volume27
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 the Authors
dc.rights.accesslevelopenAccessfi
dc.subject.ysoilmastonmuutokset
dc.subject.ysoeläinmaantiede
dc.subject.ysozoonoosit
dc.subject.ysoeliöyhteisöt
dc.subject.ysobiodiversiteetti
dc.subject.ysonisäkkäät
dc.subject.ysotartuntataudit
dc.subject.ysoeläimistö
dc.subject.ysoriskinarviointi
dc.subject.ysovillieläimet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p5729
jyx.subject.urihttp://www.yso.fi/onto/yso/p20102
jyx.subject.urihttp://www.yso.fi/onto/yso/p10500
jyx.subject.urihttp://www.yso.fi/onto/yso/p4636
jyx.subject.urihttp://www.yso.fi/onto/yso/p5496
jyx.subject.urihttp://www.yso.fi/onto/yso/p308
jyx.subject.urihttp://www.yso.fi/onto/yso/p1804
jyx.subject.urihttp://www.yso.fi/onto/yso/p2026
jyx.subject.urihttp://www.yso.fi/onto/yso/p6079
jyx.subject.urihttp://www.yso.fi/onto/yso/p6918
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1111/gcb.15784
jyx.fundinginformationWe are grateful to A. Dobson for his valuable suggestions on the manuscript. This research is funded by the National Natural Science Foundation of China (31870400) and Chinese Scholarship Council (No.201506190134). The research of Z.Y.X.H is also supported by the Priority Academic Programme Development (PAPD) of Jiangsu Higher Education Institutions.
dc.type.okmA1


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