Soil protist diversity in the Swiss western Alps is better predicted by topo-climatic than by edaphic variables
| Autor: | Hélène Niculita-Hirzel, Edward A. D. Mitchell, Aline Buri, Eric Pinto-Figueroa, Olivier Broennimann, Antoine Guisan, Quentin Blandenier, Erika Yashiro, Enrique Lara, David Singer, Christophe V. W. Seppey |
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| Rok vydání: | 2020 |
| Předmět: |
2. Zero hunger
0106 biological sciences 0303 health sciences VDP::Mathematics and natural science: 400::Geosciences: 450 Ecology Range (biology) Generalized additive model Edaphic 15. Life on land Biology 010603 evolutionary biology 01 natural sciences 03 medical and health sciences Diversity index Taxon 13. Climate action Sampling design Spatial ecology VDP::Matematikk og Naturvitenskap: 400::Geofag: 450 Taxonomic rank Ecology Evolution Behavior and Systematics Macroecology Predictive modelling 030304 developmental biology |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | Aim - 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. Location - Swiss western Alps. Taxa - 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). Methods - 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). Results - 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. Main conclusions - 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. |
| Databáze: | OpenAIRE |
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