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Selecting models for capturing tree-size effects on growth–resource relationships

Authors :
David W. MacFarlane
Richard K. Kobe
Source :
Canadian Journal of Forest Research. 36:1695-1704
Publication Year :
2006
Publisher :
Canadian Science Publishing, 2006.

Abstract

Subject trees included in growth analyses often vary in their initial size, possibly obscuring the effects of growth factors. We compare methods for incorporating size effects into growth models. For four different tree species, red maple (Acer rubrum L.), sugar maple (Acer saccharum Marsh.), American beech (Fagus grandifolia Ehrh.), and red oak (Quercus rubra L.), we compared models of radial growth rate of saplings as a function of light, water, and nitrogen availability that (i) ignored size effects on absolute growth–resource relationships, (ii) related absolute growth rate (AGR) to size and resource availability, (iii) related relative growth rate (RGR) to resource availability, and (iv) related RGR to tree size and resource availability. Size effects explained 13%–14% of variation in growth rates, and failure to account for these effects resulted in a substantial size bias in growth prediction. Overall, AGR-based models that included size as a predictor variable provided the best predictions and clearest interpretation of growth–resource relationships across all growth model types and species examined. Modeling RGR without including size effects resulted in residual size bias. Including size as a predictor of RGR yielded nearly equivalent results to using size to predict AGR. We suggest that investigators evaluate both AGR- and RGR-based approaches and determine which is most appropriate for their study.

Details

ISSN :
12086037 and 00455067
Volume :
36
Database :
OpenAIRE
Journal :
Canadian Journal of Forest Research
Accession number :
edsair.doi...........612a384a0770eb5d0e78488810a69cc3
Full Text :
https://doi.org/10.1139/x06-054