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International Journal of Forestry Research
Volume 2014 (2014), Article ID 531256, 11 pages
Research Article

Volume and Aboveground Biomass Models for Dry Miombo Woodland in Tanzania

1Department of Food and Resource Economics, Faculty of Science, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark
2Department of Forest Biology, Faculty of Forestry and Nature Conservation, Sokoine University of Agriculture, P.O. Box 3010, Chuo Kikuu, Morogoro, Tanzania

Received 7 March 2014; Accepted 14 April 2014; Published 22 May 2014

Academic Editor: Guy R. Larocque

Copyright © 2014 Ezekiel Edward Mwakalukwa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Tools to accurately estimate tree volume and biomass are scarce for most forest types in East Africa, including Tanzania. Based on a sample of 142 trees and 57 shrubs from a 6,065 ha area of dry miombo woodland in Iringa rural district in Tanzania, regression models were developed for volume and biomass of three important species, Brachystegia spiciformis Benth. ( ), Combretum molle G. Don ( ), and Dalbergia arbutifolia Baker ( ) separately, and for broader samples of trees (28 species, ), shrubs (16 species, ), and trees and shrubs combined (44 species, ). Applied independent variables were log-transformed diameter, height, and wood basic density, and in each case a range of different models were tested. The general tendency among the final models is that the fit improved when height and wood basic density were included. Also the precision and accuracy of the predictions tended to increase from general to species-specific models. Except for a few volume and biomass models developed for shrubs, all models had values of 96–99%. Thus, the models appear robust and should be applicable to forests with similar site conditions, species, and diameter ranges.