Why Quadratic Mean Diameter
By R. Curtis, D. Marshall. 2000
129 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a9dfade89c905ce229113b9cf422ddbc050512f6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- D. Hann
- John A. Kershaw
- Aaron Weiskittel
- Jerome K. Vanclay
- J. Keane
- M. Z. Peery
- Ralph J. Gutierrez
- Gavin M. Jones
Citations in the corpus
- Declining old‐forest species as a legacy of large trees lost (2018, background): “Quadratic mean diameter (QMD) is a commonly used metric in forestry that more strongly reflects the influence of large trees on stand tree size classifications than arithmetic mean (Curtis & Marshall, 2000).”
- Forest Growth and Yield Modeling (2011, background): “There are several practical and historical reasons why QMD has been preferred over the simple arithmetic mean (Curtis and Marshall, 2000).”
- A comparison of alternative methods for estimating the self-thinning boundary line (2005, unknown): “…is a direct measurement of average tree size in forest inventory, (2) there is an exact relationship between D, N, and stand total basal area, and (3) we avoid introducing biases into the analysis caused by computing tree volume from a specific volume equation or table (Curtis and Marshall 2000).”