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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
DOI: 10.2307/2425948
Stable URL: http://www.jstor.org/stable/2425948
Page Count: 10
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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.
Quality of Historical Data on Midwestern Old-Growth Forests
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Abstract

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.

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