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

Oikos

Volumn 119, Issue 1, 2010, Pages 129-137

  Heino, Jani ^a   Bini, Luis Mauricio ^b   Karjalainen, Satu Maaria ^a   Mykrä, Heikki ^a   Soininen, Janne ^c   Vieira, Ludgero Cardoso Galli ^b   Diniz Filho, José Alexandre Felizola ^b  

^a UNIVERSITY OF OULU   (Finland)

^b FEDERAL UNIVERSITY OF GOIÁS   (Brazil)

^c UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; BIOGEOGRAPHICAL REGION; CLEARCUTTING; COMMUNITY ECOLOGY; DATA SET; DIATOM; ENVIRONMENTAL EFFECT; HYPOTHESIS TESTING; META-ANALYSIS; REGRESSION ANALYSIS; SPATIAL VARIATION; SPECIES RICHNESS;

BACILLARIOPHYTA;

EID: 72949121032     PISSN: 00301299     EISSN: 16000706     Source Type: Journal    
DOI: 10.1111/j.1600-0706.2009.17778.x     Document Type: Article

References (54)

1. Baas-Becking, L. G. M. 1934. Geobiologie of inleiding tot de milieukunde. W. P. Van Stockum and Soon, the Hague.
2. Beisner, B. E. et al. 2006. The role of environmental and spatial processes in structuring lake communities from bacteria to fish Ecology 87 : 2985 2991.
3. Bini, L. M. et al. 2009. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression Ecography 32 : 193 204.
4. Blanchet, F. G. et al. 2008. Modelling directional spatial processes in ecological data Ecol. Modell. 215 : 325 336.
5. Borcard, D. Legendre, P. 2002. All-scale analysis of ecological data by means of principal coordinates of neighbour matrices Ecol. Modell. 153 : 51 68.
6. Borcard, D. et al. 1992. Partialling out the spatial component of ecological variation Ecology 73 : 1045 1055.
7. Breslin, P. et al. 1999. Getting to know ArcView GIS. ESRI Press, Redlands.
8. Burnham, K. P. Anderson, D. R. 2002. Model selection and multimodel inference: a practical-information theoretical approach. Springer.
9. Chase, J. M. Leibold, M. A. 2003. Ecological niches. Linking classical and contemporary approaches. Univ. of Chicago Press.
10. Cottenie, K. 2005. Integrating environmental and spatial processes in ecological community dynamics Ecol. Lett. 8 : 1175 1182.
11. Cottenie, K. et al. 2003. Zooplankton metacommunity structure: regional versus local processes in highly interconnected ponds Ecology 84 : 991 1000.
12. Cushman, S. A. McGarigal, K. 2004. Patters in the species-environment relationships depend on both scale and choice of response variables Oikos 105 : 117 124.
13. de Wit, R. Bouvier, T. 2006. Everything is everywhere, but, the environment selects"; what did Baas-Becking and Beijerinck really say? Environ. Microbiol. 8 : 755 758.
14. Diniz-Filho, J. A. F. Bini, L. M. 2005. Modelling geographical patterns in species richness using eigenvector-based spatial filters Global Ecol. Biogeogr. 14 : 177 185.
15. Diniz-Filho, J. A. F. et al. 2003. Spatial autocorrelation and red herrings in geographical ecology Global Ecol. Biogeogr. 12 : 53 64.
16. ESRI. 1999. Using the ArcView spatial analyst. Environ. Syst. Res. Inst., Redlands.
17. Finlay, B. J. Fenchel, T. 2004. Cosmopolitan metapopulations of free-living microbial eukaryotes Protist 155 : 237 244.
18. Fortin, M.-J. Dale, M. R. T. 2005. Spatial analysis: a guide for ecologists. Cambridge Univ. Press.
19. Green, J. L. et al. 2004. Spatial scaling of microbial eukaryote diversity Nature 432 : 747 750.
20. Griffith, M. B. et al. 2002. Multivariate analysis of periphyton assemblages in relation to environmental gradients in Colorado Rocky Mountain streams J. Phycol. 38 : 8395.
21. Griffith, D. A. Peres-Neto, P. R. 2006. Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses in exploiting relative location information Ecology 87 : 2603 2613.
22. Heino, J. Soininen, J. 2005. Assembly rules and community models for unicellular organisms: patterns in diatoms of boreal streams Freshwater Biol. 50 : 567 577.
23. Hill, B. H. et al. 2001. Comparison of correlations between environmental characteristics and stream diatom assemblages characterized at genus and species levels J. N. Am. Benhol. Soc. 20 : 299 310.
24. Hillebrand, H. et al. 2001. Differences in species richness patterns between unicellular and multicellular organisms Oecologia 126 : 114 124.
25. Holyoak, M. et al. 2005. Metacommunities: a framework for large-scale community ecology Holyoak, M. Metacommunities: spatial dynamics and ecological communities 1 32.
26. Hubbell, S. P. 2001. The unified neutral theory of biodiversity and biogeography. Princeton Univ. Press.
27. Huston, M. A. 1994. Biological diversity. The coexistence of species on changing landscapes. Cambridge Univ. Press.
28. Illies, J. 1966. Verbreitung der Süßwasserfauna Europas Verh. Internat. Ver. Limnol. 16 : 287 296.
29. Krammer, K. Lange-Bertalot, H. 1986-1991. Bacillariophyceae. Süßwasserflora von Mitteleuropa, 2 (1-4). Fischer, Stuttgart.
30. Lange-Bertalot, H. Metzeltin, D. 1996. Indicators of oligotrophy. 800 taxa representative of three ecologically distinct lake types: carbonate buffered, oligodystrophic, weakly buffered soft water Iconograph. Diatomol. 2 : 1 390.
31. Langenheder, S. Ragnarsson, H. 2007. The role of environmental and spatial factors for the composition of aquatic bacterial communities Ecology 88 : 2154 2161.
32. Legendre, P. Legendre, L. 1998. Numerical ecology. Elsevier.
33. Legendre, P. Gallagher, E. D. 2001. Ecologically meaningful transformations for ordination of species data Oecologia 129 : 271 280.
34. Legendre, P. et al. 2005. Analyzing beta diversity: partitioning the spatial variation of community composition data Ecol. Monogr. 75 : 435 450.
35. Leibold, M. A. et al. 2004. The metacommunity concept: a framework for multi-scale community ecology Ecol. Lett. 7 : 601 613.
36. Martiny, J. B. H. et al. 2006. Microbial biogeography: putting microorganisms on the map Nat. Rev. Microbiol. 4 : 102 112.
37. Mykrä, H. et al. 2007. Scale-related patterns in the spatial and environmental components of stream macroinvertebrate assemblage variation Global Ecol. Biogeogr. 16 : 149 159.
38. Oksanen, J. et al. 2007. Vegan: R functions for vegetation ecologists Available at: .
39. Peres-Neto, P. R. et al. 2006. Variation partitioning of species data matrices: estimation and comparison of fractions Ecology 87 : 2614 2625.
40. Potapova, M. G. Charles, D. F. 2002. Benthic diatoms in USA rivers: distributions along spatial and environmental gradients J. Biogeogr. 29 : 167 187.
41. Rangel, T. F. L. V. B. et al. 2006. Towards an integrated computational tool for spatial analysis in macroecology and biogeography Global Ecol. Biogeogr. 15 : 321 327.
42. Ricklefs, R. E. 2008. Disintegration of the ecological community Am. Nat. 172 : 741 750.
43. Shurin, J. B. et al. 2009. Spatial autocorrelation and dispersal limitation in freshwater organisms Oecologia 159 : 151 159.
44. Soininen, J. 2007. Environmental and spatial control of freshwater diatoms: a review Diatom Res. 22 : 473 490.
45. Soininen, J. Heino, J. 2005. Relationships between local population persistence, local abundance and regional occupancy of species: distribution patterns of diatoms in boreal streams J. Biogeogr. 32 : 1971 1978.
46. Soininen, J. et al. 2007. The distance decay of similarity in ecological communities Ecography 30 : 3 12.
47. Sokal, R. R. Oden, N. L. 1978a. Spatial autocorrelation in biology. 1. Methodology Biol. J. Linn. Soc. 10 : 199 228.
48. Sokal, R. R. Oden, N. L. 1978b. Spatial autocorrelation in biology. 2. Some biological implications and four applications of evolutionary and ecological interest Biol. J. Linn. Soc. 10 : 229 249.
49. Stevenson, R. J. Algal ecology. Academic Press. 1996 Smol, J. P. The diatoms: applications for the environmental and earth sciences. Cambridge Univ. Press 1999 et al. 2006. Dispersal limitations matter for microbial morphospecies Science 312 : 1015.
50. Thioulouse, J. et al. 1995. Multivariate analysis of spatial patterns: a unified approach to local and global structures Environ. Ecol. Stat. 2 : 1 14.
51. Thompson, R. Townsend, C. R. 2006. A truce with neutral theory: local deterministic factors, species traits and dispersal limitation together determine patterns of diversity in stream invertebrates J. Anim. Ecol. 75 : 476 484.
52. Van der Gucht, K. et al. 2007. The power of species sorting: Local factors drive bacterial community composition over a wide range of spatial scales Proc. Natl Acad. Sci. USA 104 : 20404 20409.
53. Verleyen, E. et al. 2009. The importance of dispersal related and local factors in shaping the taxonomic structure of diatom metacommunities Oikos 118 : 1239 1249.
54. Vyverman, W. et al. 2007. Historical processes constrain patterns in global diatom diversity Ecology 88 : 1924 1931.