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International Journal of Forestry Research
Volume 2016, Article ID 8076271, 13 pages
http://dx.doi.org/10.1155/2016/8076271
Research Article

Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania

1Tanzania Forestry Research Institute (TAFORI), P.O. Box 1854, Morogoro, Tanzania
2Department of Forest Biology, Sokoine University of Agriculture, P.O. Box 3010, Morogoro, Tanzania
3Department of Forest Mensuration and Management, Sokoine University of Agriculture, P.O. Box 3013, Morogoro, Tanzania
4Department of Forest Engineering, Sokoine University of Agriculture, P.O. Box 3012, Morogoro, Tanzania
5UN-REDD Programme, Food and Agriculture Organization of the United Nations (FAO), Viale delle Terme di Caracalla, 00153 Rome, Italy
6Forest Training Institute, Olmotonyi, P.O. Box 943, Arusha, Tanzania

Received 24 July 2015; Revised 7 December 2015; Accepted 17 December 2015

Academic Editor: Timothy Martin

Copyright © 2016 Wilson Ancelm Mugasha 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.

Citations to this Article [16 citations]

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  • Hassan Camil David, Rodrigo Otávio Veiga Miranda, John Welker, Luan Demarco Fiorentin, Ângelo Augusto Ebling, and Pedro Henrique Belavenutti Martins da Silva, “Strategies For Stem Measurement Sampling: A Statistical Approach Of Modelling Individual Tree Volume,” Cerne, vol. 22, no. 3, pp. 249–260, 2016. View at Publisher · View at Google Scholar
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