Abstract
Ecological niche modelling (ENM) has been used to quantify the potential occurrence of species, by identifying the main environmental factors that determine the presence of species across geographical space. We provide a large-scale survey of the distribution of ostracod species in South America, by using the domains of 25 river basins. From 221 known ostracod species, we estimate the potential distribution of 61 species, using ENM. Ten clusters of potential distribution patterns were found. Clusters 8 and 9 grouped most of the species, which presented high similarity of niche between them. Heterocypris paningi Brehm, 1934 (group 1) obtained higher niche variability. The minimum temperatures of the coldest month and the mean elevation of the river basin were most important to predict the potential distribution of ostracods of most groups. South America has a complex pattern of elevation, which affects species distributions indirectly through changes in local factors. For instance, the Andes mountains might impose a barrier for ostracod distribution in the southern part of South America because of the low temperatures and precipitation. The ENM indicated that some regions and/or basins of South America might be susceptible to the entry of several ostracod species, presently absent, including non-native species.
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Acknowledgements
We thank the Centre of Research in Limnology, Ichthyology and Aquaculture (Núcleo de Pesquisas em Limnologia, Ictiologia e Aquicultura - Nupélia) and the Graduate Programme in Ecology of Inland Water Ecosystems (Programa de Pós-Graduação em Ecologia de Ambientes Aquáticos Continentais – PEA) of the State University of Maringá (Universidade Estadual de Maringá - UEM) for the logistic support. We would like to thank the Ministry of Science and Technology (MCT)/National Council for Scientific and Technological Development (CNPq) and Fundação Araucária for financial support. We also thank the National System of Biodiversity Research (SISBIOTA) and Long-Term Ecological Research (LTER -site 6) programmes and Academic Excellency Program (PROEX/Coordination of Improvement of Higher Education Personnel (CAPES). EOC, TM and RC would like to thank CAPES for granting their doctoral scholarships, DB thanks CNPQ/PDS for the post-doctoral fellowship and TFR thanks CNPq for the grant of research productivity. The State University of Maringá and the Royal Belgian Institute of Natural Sciences (RBINS, Brussels) have a bilateral Memorandum of Understanding regarding collaborative Scientific Research.
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Supplementary material 1 (TIFF 16846 kb)
Figure S1 Climatic and environmental suitability patterns of ostracod species from Groups 2 and 3 in South America. Sy = Suitability
Supplementary material 2 (TIFF 15814 kb)
Figure S2 Climatic and environmental suitability patterns of ostracod species from Groups 3, 4, 6 and 7 in South America. Sy = Suitability
Supplementary material 3 (TIFF 17260 kb)
Figure S3 Climatic and environmental suitability patterns of ostracod species from Groups 6 and 7 in South America. Sy = Suitability
Supplementary material 4 (TIFF 16616 kb)
Figure S4 Climatic and environmental suitability patterns of ostracod species from Group 8 in South America. Sy = Suitability
Supplementary material 5 (TIFF 14793 kb)
Figure S5 Climatic and environmental suitability patterns of ostracod species from Group 8 in South America. Sy = Suitability
Supplementary material 6 (TIFF 16880 kb)
Figure S6 Climatic and environmental suitability patterns of ostracod species from Group 9 in South America. Sy = Suitability
Supplementary material 7 (TIFF 17332 kb)
Figure S7 Climatic and environmental suitability patterns of ostracod species from Groups 9 and 10 in South America. Sy = Suitability
Supplementary material 8 (TIFF 5560 kb)
Figure S8 Climatic and environmental suitability patterns of ostracod species from Group 10 in South America. Sy = Suitability
Supplementary material 9 (TIFF 19288 kb)
Figure S9 Spatial mapping of hydrologic and climatic variables in South America. FRMDN = elevation value of the stream, STRORD = order of the stream, TMAX = Maximum temperature of warmest month, TMIN = Minimum temperature of coldest month, PMAX = Precipitation of wettest month, PMIN = Precipitation of driest month
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de Oliveira da Conceição, E., Mantovano, T., de Campos, R. et al. Mapping the observed and modelled intracontinental distribution of non-marine ostracods from South America. Hydrobiologia 847, 1663–1687 (2020). https://doi.org/10.1007/s10750-019-04136-6
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DOI: https://doi.org/10.1007/s10750-019-04136-6