Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

The Relationship between Diatoms and Water Temperature in Thirty Subarctic Fennoscandian Lakes

Jan Weckström, Atte Korhola and Tom Blom
Arctic and Alpine Research
Vol. 29, No. 1 (Feb., 1997), pp. 75-92
DOI: 10.2307/1551838
Stable URL: http://www.jstor.org/stable/1551838
Page Count: 18
  • Read Online (Free)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
The Relationship between Diatoms and Water Temperature in Thirty Subarctic Fennoscandian Lakes
Preview not available

Abstract

The relationship between surface sediment diatom (Division: Bacillariophyta) assemblages and measured water chemical and environmental variables in 30 lakes from northern Fennoscandia were examined using multivariate statistical techniques. The lakes are distributed across the treeline, spanning boreal coniferous forest to treeless tundra zones along a steep climatic gradient. Such lakes at an ecotonal boundary offer excellent opportunities to study the interactions of physicochemical environment and biotic assemblages. Canonical correspondence analysis (CCA), with forward selection and associated Monte Carlo permutation tests, suggested that pH, surface-water temperature, conductivity, altitude, and sodium made significant (P < 0.05) contributions to explaining the variation in the diatom assemblages. A constrained CCA with temperature as the only explanatory variable revealed that the surface-water temperature was a strong variable, and accounted for a statistically significant proportion of the variance in the diatom data. The data-set will be expanded and used to create a quantitative predictive model (transfer function) for temperature which can be applied to sediment-core diatoms to reconstruct lake-water paleotemperatures.

Page Thumbnails

  • Thumbnail: Page 
75
    75
  • Thumbnail: Page 
76
    76
  • Thumbnail: Page 
77
    77
  • Thumbnail: Page 
78
    78
  • Thumbnail: Page 
79
    79
  • Thumbnail: Page 
80
    80
  • Thumbnail: Page 
81
    81
  • Thumbnail: Page 
82
    82
  • Thumbnail: Page 
83
    83
  • Thumbnail: Page 
84
    84
  • Thumbnail: Page 
85
    85
  • Thumbnail: Page 
86
    86
  • Thumbnail: Page 
87
    87
  • Thumbnail: Page 
88
    88
  • Thumbnail: Page 
89
    89
  • Thumbnail: Page 
90
    90
  • Thumbnail: Page 
91
    91
  • Thumbnail: Page 
92
    92