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Reference List (1982 - Present)

1994

1994 Entries


94-01      Jeffries, D.S., I.K. Morrison, and J.R.M Kelso. The Turkey Lakes Watershed Study. Proc. Parks Can. Ecol. Monitor. Workshop, University of Waterloo, Waterloo, Ont., 65-73, January 1994.

Summary: An update of 88-06.

94-02     Mallory, M.L., P.J. Blancher, P.J. Weatherhead, and D.K. McNicol*. Presence or absence of fish as a cue to macroinvertebrate abundance in boreal wetlands. Hydrobiologia 279/280: 345-351, 1994. (*Author of correspondence).

Summary: The fish status of a wetland appears to be a good indicator of invertebrate abundance. Changes in acidity resulting from anthropogenic input may however change the reliability of this indicator and affect wetland selection for breeding by waterfowl.

94-03     Fournier, R.E., I.K. Morrison*, and A.A. Hopkin. Short range variability of soil chemistry in three acid soils in Ontario, Canada. Commun. Soil Sci. Plant Anal. 25: 3069-3082, 1994. (*Contact D.S. Jeffries for correspondence).

Summary: Twenty-five soil pits were sampled at 3 study areas, including the TLW, to check the variability of sampling and analytical methodologies used in Canada's Acid Rain National Early Warning System (ARNEWS). More samples are needed to obtain high-confidence results in mineral horizons, compared to forest floor soils. Micro-element parameters were most variable, and organic macro-elements and pH the least variable parameters.

94-04     Yin, X., N.W. Foster*, I.K. Morrison, and P.A. Arp. Tree-ring-based growth analysis for a sugar maple stand: relations to local climate and transient soil properties. Can. J. For. Res. 24: 1567-1574, 1994. (*Contact D.S. Jeffries for correspondence).

Summary: Using the sugar maple forest in the TLW, variation in tree-ring-based growth analysis was explained using models to simulate soil moisture and temperatures, and to calculate ion concentrations in soil solution over the previous 40 years. Local weather records were also incorporated. Introducing transient soil properties into the growth analysis may greatly reduce the error variance.