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The need to develop instruments to capture the realistic stumpage volume and influence loggers to improve on their logging efficiency has been a topic of interest in recent times. This study assessed the logging efficiency in Ghana and developed allometric models to predict stumpage
volume. A total of 135 trees from nine timber species were sampled from three logging sites during commercial logging operations. The average logging recovery for all sampled trees was about 75 . The small-end diameter of the merchantable residues averaged between 31 cm and 60 cm while their
length values varied from 3.0 m to 8.5 m. In general, species-specific models exhibited better predictive power than mixed-species models. Models that predicted total merchantable volume from the volume of the extracted logs had the best fits, with Furnival index values ranging from 0.590
to 1.727. Results of the models' validation indicated that mixed species models could predict merchantable volume better for relatively small trees than for big trees with merchantable volume greater than 20 m3.
College of Technology of Education, University of Education, Winneba, Ghana. 2:
Institute of Wood Utilisation and Work Science, University of Freiburg, Germany.
Publication date: March 1, 2009
More about this publication?
The International Forestry Review is a peer-reviewed scholarly journal that publishes original research and review papers on all aspects of forest policy and science, with an emphasis on issues of transnational significance. It is published four times per year, in March, June, September and December. Theme editions are a regular feature and attract a wide audience.