Evaluation of regression models for above-ground biomass determination in Amazon rainforest

Content Provider	Scilit
Author	Overman, Johannes Petrus Maria Witte, Hendrik Johannes Louis Saldarriaga, Juan Guillermo
Copyright Year	1994
Description	In a mature lowland ‘terra firme’ forest near Araracuara in Colombia, a study was conducted to determine the above-ground biomass by means of regression analysis. Dry weight, DBH (i.e. stem diameter at 1.3 m above ground level, or just above buttresses if these surpassed 1.3 m in height), total height and specific wood density were measured on 54 harvested trees, chosen in a ‘selected random’ manner. Nine different regression models were evaluated for statistical correctness, accuracy of the estimates and for practical use. The logarithmically transformed models with $DBH^{2}$, and $DBH^{2}$ × height as independent variables appeared to be the only models meeting the above criteria, the latter being the most accurate.The exclusion of big trees (DBH >45 cm) from the regression did not result in significant changes of the regression coefficients.
Related Links	https://pure.uva.nl/ws/files/712508/303_3795y.pdf https://www.cambridge.org/core/services/aop-cambridge-core/content/view/0A9AFF883B30E65C6856406F20DE8990/S0266467400007859a.pdf/div-class-title-evaluation-of-regression-models-for-above-ground-biomass-determination-in-amazon-rainforest-div.pdf
Ending Page	218
Page Count	12
Starting Page	207
ISSN	02664674
e-ISSN	14697831
DOI	10.1017/s0266467400007859
Journal	Journal of Tropical Ecology
Issue Number	2
Volume Number	10
Language	English
Publisher	Cambridge University Press (CUP)
Publisher Date	1994-05-01
Access Restriction	Open
Subject Keyword	Journal of Tropical Ecology Lowland Rainforest Regression Models
Content Type	Text
Resource Type	Article
Subject	Ecology, Evolution, Behavior and Systematics