title: Ecological niche models reveal the importance of climate variability for the biogeography of protosteloid amoebae.
abstract: Habitat availability and environmental preferences of species are among the most important factors in determining the success of dispersal processes and therefore in shaping the distribution of protists. We explored the differences in fundamental niches and potential distributions of an ecological guild of slime moulds-protosteloid amoebae-in the Iberian Peninsula. A large set of samples collected in a north-east to south-west transect of approximately 1000 km along the peninsula was used to test the hypothesis that, together with the existence of suitable microhabitats, climate conditions may determine the probability of survival of species. Although protosteloid amoebae share similar morphologies and life history strategies, canonical correspondence analyses showed that they have varied ecological optima, and that climate conditions have an important effect in niche differentiation. Maxent environmental niche models provided consistent predictions of the probability of presence of the species based on climate data, and they were used to generate maps of potential distribution in an 'everything is everywhere' scenario. The most important climatic factors were, in both analyses, variables that measure changes in conditions throughout the year, confirming that the alternation of fruiting bodies, cysts and amoeboid stages in the life cycles of protosteloid amoebae constitutes an advantage for surviving in a changing environment. Microhabitat affinity seems to be influenced by climatic conditions, which suggests that the micro-environment may vary at a local scale and change together with the external climate at a larger scale.
authors.affiliation: Mycology Department, Real Jardín Botánico, CSIC, Plaza de Murillo 2, Madrid, Spain. aguilar@rjb.csic.es
authors.forename: María
authors.initials: M
authors.lastname: Aguilar
authors.forename: Carlos
authors.initials: C
authors.lastname: Lado
mesh_terms: D002980:Climate; D003198:Computer Simulation; D017753:Ecosystem; D005060:Europe; D008954:Models, Biological; D009235:Myxomycetes / Q000502:physiology*; D058974:Phylogeography; D011336:Probability