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Metacommunity ecology meets biogeography: effects of geographical region, spatial dynamics and environmental filtering on community structure in aquatic organisms

Oecologia, 2017-01, Vol.183 (1), p.121-137 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2016 ;COPYRIGHT 2017 Springer ;Oecologia is a copyright of Springer, 2017. ;ISSN: 0029-8549 ;EISSN: 1432-1939 ;DOI: 10.1007/s00442-016-3750-y ;PMID: 27714463

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  • Title:
    Metacommunity ecology meets biogeography: effects of geographical region, spatial dynamics and environmental filtering on community structure in aquatic organisms
  • Author: Heino, Jani ; Soininen, Janne ; Alahuhta, Janne ; Lappalainen, Jyrki ; Virtanen, Risto
  • Subjects: Analysis ; Animals ; Aquatic Organisms ; Bacillariophyceae ; Biodiversity ; Biomedical and Life Sciences ; COMMUNITY ECOLOGY – ORIGINAL RESEARCH ; Ecology ; Ecosystem ; Environment ; Hydrology/Water Resources ; Life Sciences ; Plant Sciences ; Zooplankton
  • Is Part Of: Oecologia, 2017-01, Vol.183 (1), p.121-137
  • Description: Metacommunity patterns and underlying processes in aquatic organisms have typically been studied within a drainage basin. We examined variation in the composition of six freshwater organismal groups across various drainage basins in Finland. We first modelled spatial structures within each drainage basin using Moran eigenvector maps. Second, we partitioned variation in community structure among three groups of predictors using constrained ordination: (1) local environmental variables, (2) spatial variables, and (3) dummy variable drainage basin identity. Third, we examined turnover and nestedness components of multiple-site beta diversity, and tested the best fit patterns of our datasets using the “elements of metacommunity structure” analysis. Our results showed that basin identity and local environmental variables were significant predictors of community structure, whereas within-basin spatial effects were typically negligible. In half of the organismal groups (diatoms, bryophytes, zooplankton), basin identity was a slightly better predictor of community structure than local environmental variables, whereas the opposite was true for the remaining three organismal groups (insects, macrophytes, fish). Both pure basin and local environmental fractions were, however, significant after accounting for the effects of the other predictor variable sets. All organismal groups exhibited high levels of beta diversity, which was mostly attributable to the turnover component. Our results showed consistent Clementsian-type metacommunity structures, suggesting that subgroups of species responded similarly to environmental factors or drainage basin limits. We conclude that aquatic communities across large scales are mostly determined by environmental and basin effects, which leads to high beta diversity and prevalence of Clementsian community types.
  • Publisher: Berlin/Heidelberg: Springer Science + Business Media
  • Language: English
  • Identifier: ISSN: 0029-8549
    EISSN: 1432-1939
    DOI: 10.1007/s00442-016-3750-y
    PMID: 27714463
  • Source: MEDLINE
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