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Quality of Historical Data on Midwestern Old-Growth Forests
Bruce McCune and Eric S. Menges
The American Midland Naturalist
Vol. 116, No. 1 (Jul., 1986), pp. 163-172
Published by: The University of Notre Dame
Stable URL: http://www.jstor.org/stable/2425948
Page Count: 10
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Quality of historical data on species composition in midwestern old-growth forests was assessed for its potential for monitoring long-term vegetation dynamics. Vectors of compositional dynamics superimposed on ordinations revealed that perceived compositional change owing to sampling error may be similar in size to actual long-term changes. Other data quality problems may arise from big-tree bias, inexact overlap of stand boundaries, varying treatment of stand edges, and inadequate descriptions of methods and results. To promote an improved long-term monitoring data base, a checklist is given of some commonly overlooked points of design and publication of compositional studies of forests.
The American Midland Naturalist © 1986 The University of Notre Dame