Models for estimation of tree volume in the miombo woodlands of Tanzania

Research Papers

Models for estimation of tree volume in the miombo woodlands of Tanzania

DOI: 10.2989/20702620.2014.957594
Author(s): Ernest W Mauya Department of Ecology and Natural Resource Management, Norway , Wilson A Mugasha Department of Ecology and Natural Resource Management, Norway , Eliakimu Zahabu Department of Forest Mensuration and Management, Tanzania , Ole M Bollandsås Department of Ecology and Natural Resource Management, Norway , Tron Eid Department of Ecology and Natural Resource Management, Norway

Abstract

Volume of trees is an important parameter in forest management, but only volume models with limited geographical and tree size coverage have previously been developed for Tanzanian miombo woodlands. This study developed models for estimating total, merchantable stem and branches volume applicable for the entire miombo woodlands of Tanzania. We used data from 158 destructively sampled trees, including 55 tree species collected from wide geographical and biophysical ranges. We developed general and site-specific models with diameter at breast height only as the independent variable, together with models with both diameter at breast height and tree height. Leave-one-out cross-validation was used to evaluate the models. The total tree volume models that included diameter at breast height and tree height had appropriate predictive capabilities with relative root mean square errors (RMSEr) ranging from 30.5% to 47.6%. The RMSEr for total tree volume models with diameter at breast height only ranged from 39.9% to 48.0%. The site-specific models had slightly lower RMSEr values relative to the general models. The relative mean prediction error of the general total tree volume model with diameter at breast height and tree height was lower (0.6%) than those of the previously developed models (−30.7% to 31.2%). Based on the evaluations, we recommend the general total tree models to be applied over a wide range of geographical and biophysical conditions in Tanzania.

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