Show simple item record

dc.contributor.authorSeppey, Christophe Victor W.
dc.contributor.authorBroennimann, Olivier
dc.contributor.authorBuri, Aline
dc.contributor.authorYashiro, Erika
dc.contributor.authorPinto-Figueroa, Eric
dc.contributor.authorSinger, David
dc.contributor.authorBlandenier, Quentin
dc.contributor.authorMitchell, Edward A.D.
dc.contributor.authorNiculita-Hirzel, Helene
dc.contributor.authorGuisan, Antoine
dc.contributor.authorLara, Enrique
dc.date.accessioned2020-01-24T12:20:35Z
dc.date.available2020-01-24T12:20:35Z
dc.date.issued2019-11-01
dc.description.abstract<i>Aim</i> - Trends in spatial patterns of diversity in macroscopic organisms can be well predicted from correlative models, using topo‐climatic variables for plants and animals allowing inference over large scales. By contrast, diversity in soil microorganisms is generally considered as mostly driven by edaphic variables and, therefore, difficult to extrapolate on a large spatial scale based on predictive models. Here, we compared the power of topo‐climatic versus edaphic variables for predicting the diversity of various soil protist groups at the regional scale.<p> <p><i>Location</i> - Swiss western Alps.<p> <p><i>Taxa</i> - Full protist community and nine clades belonging respectively to three functional groups: parasites (Apicomplexa, Peronosporomycetes and Phytomyxea), phagotrophs (Sarcomonadea, Tubulinea and Spirotrichea) and phototrophs (Chlorophyta, Trebouxiophyceae and Diatomeae).<p> <p><i>Methods</i> - We extracted soil DNA from 178 sites along a wide range of elevations with a random‐stratified sampling design. We defined protist Operational Taxonomic Units assemblages by metabarcoding of the V4 region of the rRNA small subunit gene. We assessed and modelled the diversity (Shannon index) patterns of all above‐mentioned taxonomic groups based on topo‐climatic (topography, slope southness, slope steepness and average summer temperature) and edaphic (soil temperature, relative humidity, pH, electroconductivity, phosphorus percentage, carbon/nitrogen, loss on ignition and shale percentage) variables in Generalized Additive Models (GAM).<p> <p><i>Results</i> - The respective significance of topo‐climatic and edaphic variables varied among taxonomic and—to a certain extent—functional groups: while many variables explained significantly the diversity of the three phototrophs this was less the case for the three parasites. Topo‐climatic variables had a better predictive power than edaphic variables, yet predictive power varied among taxonomic groups.<p> <p><i>Main conclusions</i> - Topo‐climatic variables (particularly slope steepness and summer temperature if we consider their significance in the GAMs) were, on average, better predictors of protist diversity at the landscape scale than edaphic variables. However, the predictive power of these variables on diversity differed considerably among taxonomic groups; such relationships may be due to direct and/or indirect (e.g. biotic) influences (like with parasitic taxa, where low predictive power is most likely explained by the absence of information on the hosts’ distribution). Future prospects include using such spatial models to predict hotspots of diversity and disease outbreaks.en_US
dc.identifier.citationSeppey CVW, Broennimann O, Buri, Yashiro, Pinto-Figueroa, Singer D, Blandenier, Mitchell EA, Niculita-Hirzel, Guisan A, Lara E. Soil protist diversity in the Swiss western Alps is better predicted by topo-climatic than by edaphic variables. Journal of Biogeography. 2019en_US
dc.identifier.cristinIDFRIDAID 1771279
dc.identifier.doi10.1111/jbi.13755
dc.identifier.issn0305-0270
dc.identifier.issn1365-2699
dc.identifier.urihttps://hdl.handle.net/10037/17219
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.journalJournal of Biogeography
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7-PEOPLE-2010-IIF/273965/EU/Examination of the relationship between microbial and plant diversity across large spatial and elevational gradients to predict community migration patterns as a function of climate change/MP-ALPS/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/MILJØFORSK/270252/Norway/BiodivERsA-Climate change impacts on Arctic soil and lake microbiomes//en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/LATIN-AM/256132/Norway/ERAnet-LAC, METHAnogenic Biodiversity and activity in Arctic and Subantarctic Ecosystems affected by climate change./METHABASE - DCC-92/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2019 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400::Geosciences: 450en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450en_US
dc.titleSoil protist diversity in the Swiss western Alps is better predicted by topo-climatic than by edaphic variablesen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


File(s) in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record