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.

Aboveground Biomass Estimation with the Canopy Intercept Method: A Plant Growth Form Caveat

Douglas A. Frank and Samuel J. McNaughton
Oikos
Vol. 57, No. 1 (Feb., 1990), pp. 57-60
Published by: Wiley on behalf of Nordic Society Oikos
DOI: 10.2307/3565736
Stable URL: http://www.jstor.org/stable/3565736
Page Count: 4
  • 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.
Aboveground Biomass Estimation with the Canopy Intercept Method: A Plant Growth Form Caveat
Preview not available

Abstract

The canopy intercept method estimates aboveground biomass with hits by a pin passed through vegetation. Here we demonstrate a strong plant growth form effect on the technique. Slopes of linear regressions of clipped biomass on mean hits per pin for five plant growth forms were positively correlated with plant structure size (e.g., leaf size). Two potential reasons for this trend are: 1) an interaction of leaf size and pin diameter that monotonically reduces the relationship of foliage surface area to pin contact as leaf size declines, and 2) a probable positive relationship between leaf size and leaf thickness. Both would result in an increase in the biomass: contact ratio (and slope) as leaf size increases. The range of r2 s for the five groups was 0.831 to 0.956. Results indicate that canopy intercept provides good precision to estimate standing crop, and separate calibrations for plants of different growth forms may be useful to reduce systematic error in biomass estimation.

Page Thumbnails

  • Thumbnail: Page 
57
    57
  • Thumbnail: Page 
58
    58
  • Thumbnail: Page 
59
    59
  • Thumbnail: Page 
60
    60