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Journal ArticleDOI

Use of Logarithmic Regression in the Estimation of Plant Biomass

G. L. Baskerville
- 01 Mar 1972 - 
- Vol. 2, Iss: 1, pp 149-149
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TLDR
In this paper, the basic assumptions of regression analysis are recalled with special reference to the use of a logarithmic transformation, and the limitations imposed on inference-making by failure to comply with these assumptions are discussed.
Abstract
The basic assumptions of regression analysis are recalled with special reference to the use of a logarithmic transformation. The limitations imposed on inference-making by failure to comply with th...

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Citations
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Journal ArticleDOI

National scale biomass estimators for United States tree species

TL;DR: In this article, a set of consistent, national-scale aboveground biomass regression equations for U.S. species were developed for predicting biomass of tree components, defined in dry weight terms, for trees in the United States.
Journal ArticleDOI

Error propagation and scaling for tropical forest biomass estimates.

TL;DR: It is found that the most important source of error is currently related to the choice of the allometric model, and more work should be devoted to improving the predictive power of allometric models for biomass.
Journal ArticleDOI

Biomass equations for sixty-five North American tree species

TL;DR: A comprehensive review of the biomass equations for 65 North American tree species is presented, a unique source of equations that can be used to estimate tree biomass and/or to study the variation of biomass components for a tree species.
References
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Book ChapterDOI

Biomass and Productivity Models of Forest Canopies

TL;DR: Knowledge of the amount, distribution and functioning of foliage within canopies is important in understanding the productivity of plant communities because photosynthesis forms the basis for energy capture and dry matter growth.
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