Moving beyond simple linear allometric relationships between tree height and diameter
Michael S. Watt and
Miko U.F. Kirschbaum
Ecological Modelling, 2011, vol. 222, issue 23, 3910-3916
Abstract:
Allometric relationships are used across a broad range of ecological disciplines as they provide a convenient means of scaling height (H) as a function of diameter (D). In these functions, it is commonly assumed that log transformed diameters and heights are linearly related, with a constant slope across environmental gradients. It is also widely thought that the elastic similarity model, in which H∝D2/3, holds true for all tree species, as this is a functional relationship that describes mechanical stability under self weight. Despite the wide use of these functions, little research has undertaken a rigorous intra-species evaluation of the applicability of these functions or the underlying theory. Here, we evaluate the applicability of these models to measurements from Pinus radiata plots covering broad intra and inter-stand environmental variation, and refine these models to make them more generally applicable. We used observations from 84 plots situated throughout New Zealand that had been measured repeatedly throughout stand development.
Keywords: Allometry; Diameter; Elastic similarity model; Environmental impacts; Height; Stocking (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380011004960
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:222:y:2011:i:23:p:3910-3916
DOI: 10.1016/j.ecolmodel.2011.10.011
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().