Journal
CANADIAN JOURNAL OF BOTANY-REVUE CANADIENNE DE BOTANIQUE
Volume 84, Issue 11, Pages 1695-1713Publisher
CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/B06-122
Keywords
diatoms; Arctic Canada; inference models; limnology; climate
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Relationships between modern surface sediment diatom assemblages and measured water chemistry variables were examined from 30 lakes and ponds on Axel Heiberg Island (Nunavut) in the Canadian High Arctic. Canonical correspondence analysis with forward selection and Monte Carlo permutation tests identified dissolved organic, carbon, disolved inorganic carbon, specific conductance, and pH as the measured environmental variables explaining significant proportions of the diatom variance. Canonical correspondence analysis axis 1 represented a gradient of specific conductance, and axis 2 was influenced primarily by pH. To increase the signal-to-noise ratio in our reconstructions, the species data were refined to include only taxa that had significant responses to either conductivity of pH, as determined by Huisman Olff Fresco models of species-environment relationships. Diatom-based inference models were subsequently developed for both lakewater specific conductance (r(boot)(2) = 0.31, root mean square error of prediction = 0.57) using weighted averaging techniques. These data contribute to our understanding of diatom biogeography throughout the Canadian Arctic and have implications for regional paleoclimatic reconstructions in these climatically and environmentally sensitive regions.
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