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Geographical patterns of micro-organismal community structure: are diatoms ubiquitously distributed across boreal streams?

2009; Wiley; Volume: 119; Issue: 1 Linguagem: Inglês

10.1111/j.1600-0706.2009.17778.x

1600-0706

Jani Heino, Luís Maurício Bini, Satu Maaria Karjalainen, Heikki Mykrä, Janne Soininen, Ludgero Cardoso Galli Vieira, José Alexandre Felizola Diniz‐Filho,

Diatoms and Algae Research

OikosVolume 119, Issue 1 p. 129-137 Geographical patterns of micro-organismal community structure: are diatoms ubiquitously distributed across boreal streams? Jani Heino, Jani HeinoSearch for more papers by this authorLuis Mauricio Bini, Luis Mauricio BiniSearch for more papers by this authorSatu Maaria Karjalainen, Satu Maaria KarjalainenSearch for more papers by this authorHeikki Mykrä, Heikki MykräSearch for more papers by this authorJanne Soininen, Janne SoininenSearch for more papers by this authorLudgero Cardoso Galli Vieira, Ludgero Cardoso Galli VieiraSearch for more papers by this authorJosé Alexandre Felizola Diniz-Filho, José Alexandre Felizola Diniz-FilhoSearch for more papers by this author Jani Heino, Jani HeinoSearch for more papers by this authorLuis Mauricio Bini, Luis Mauricio BiniSearch for more papers by this authorSatu Maaria Karjalainen, Satu Maaria KarjalainenSearch for more papers by this authorHeikki Mykrä, Heikki MykräSearch for more papers by this authorJanne Soininen, Janne SoininenSearch for more papers by this authorLudgero Cardoso Galli Vieira, Ludgero Cardoso Galli VieiraSearch for more papers by this authorJosé Alexandre Felizola Diniz-Filho, José Alexandre Felizola Diniz-FilhoSearch for more papers by this author First published: 23 December 2009 https://doi.org/10.1111/j.1600-0706.2009.17778.xCitations: 126 J. Heino ([email protected]), S. M. Karjalainen and H. Mykrä Finnish Environment Institute, PO Box 413, FI–90014 University of Oulu, Finland. – L. M. Bini, L. C. G. Vieira and J. A. F. Diniz-Filho, Depto de Ecologia, ICB, Univ. Federal de Goiás, CP 131, Goiânia, GO 74001-970, Brazil. – J. Soininen, Dept of Biological and Environmental Sciences, PO Box 65, FI–00014 University of Helsinki, Finland. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract A topic under intensive study in community ecology and biogeography is the degree to which microscopic, as well as macroscopic organisms, show spatially-structured variation in community characteristics. In general, unicellular microscopic organisms are regarded as ubiquitously distributed and, therefore, without a clear biogeographic signal. This view was summarized 75 years ago by Baas-Becking, who stated “everything is everywhere, but, the environment selects”. Within the context of metacommunity theory, this hypothesis is congruent with the species sorting model. By using a broad-scale dataset on stream diatom communities and environmental predictor variables across most of Finland, our main aim was to test this hypothesis. Patterns of spatial autocorrelation were evaluated by Moran's I based correlograms, whereas partial regression analysis and partial redundancy analysis were used to quantify the relative importance of environmental and spatial factors on total species richness and on community composition, respectively. Significant patterns of spatial autocorrelation were found for all environmental variables, which also varied widely. Our main results were clear-cut. In general, pure spatial effects clearly overcame those of environmental effects, with the former explaining much more variation in species richness and community composition. Most likely, missing environmental variables cannot explain the higher predictive power of spatial variables, because we measured key factors that have previously been found to be the most important variables (e.g. pH, conductivity, colour, phosphorus, nitrogen) shaping the structure of diatom communities. Therefore, our results provided only limited support for the Baas-Becking hypothesis and the species sorting perspective of metacommunity theory. Citing Literature Volume119, Issue1January 2010Pages 129-137 RelatedInformation