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Assessment of logging efficiency and development of allometric models for predicting stumpage volume of some commercial tree species in Ghana

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dc.contributor.author Amoah, M.
dc.contributor.author Becker, G.
dc.date.accessioned 2019-11-28T13:36:06Z
dc.date.available 2019-11-28T13:36:06Z
dc.date.issued 2009
dc.identifier.other 10.1505/ifor.11.1.1
dc.identifier.uri http://ir.uew.edu.gh/xmlui/handle/123456789/401
dc.description Published in International Forestry Review en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.subject Allometric models en_US
dc.subject Logging efficiency en_US
dc.subject Stumpage en_US
dc.subject Sustainable forest management en_US
dc.title Assessment of logging efficiency and development of allometric models for predicting stumpage volume of some commercial tree species in Ghana en_US
dc.type Article en_US


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