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Allometric models for estimating tree volume and aboveground biomass in lowland forests of Tanzania / Wilson Ancelm Mugasha in International journal of forestry research, vol 2016 ([01/08/2016])  

Public [article]  inInternational journal of forestry research > vol 2016 [01/08/2016] . - 13 p. Titre : Allometric models for estimating tree volume and aboveground biomass in lowland forests of Tanzania Type de document : Article/Communication Auteurs : Wilson Ancelm Mugasha, Auteur ; Ezekiel Edward Mwakalukwa, Auteur ; Emannuel Luoga, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : 13 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes IGN] allométrie [Termes IGN] biomasse aérienne [Termes IGN] densité du bois [Termes IGN] modèle numérique [Termes IGN] Tanzanie [Termes IGN] volume en bois Résumé : (auteur) Models to assist management of lowland forests in Tanzania are in most cases lacking. Using a sample of 60 trees which were destructively harvested from both dry and wet lowland forests of Dindili in Morogoro Region (30 trees) and Rondo in Lindi Region (30 trees), respectively, this study developed site specific and general models for estimating total tree volume and aboveground biomass. Specifically the study developed (i) height-diameter (ht-dbh) models for trees found in the two sites, (ii) total, merchantable, and branches volume models, and (iii) total and sectional aboveground biomass models of trees found in the two study sites. The findings show that site specific ht-dbh model appears to be suitable in estimating tree height since the tree allometry was found to differ significantly between studied forests. The developed general volume models yielded unbiased mean prediction error and hence can adequately be applied to estimate tree volume in dry and wet lowland forests in Tanzania. General aboveground biomass model appears to yield biased estimates; hence, it is not suitable when accurate results are required. In this case, site specific biomass allometric models are recommended. Biomass allometric models which include basic wood density are highly recommended for improved estimates accuracy when such information is available. Numéro de notice : A2016--110 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1155/2016/8076271 En ligne : http://dx.doi.org/10.1155/2016/8076271 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84741 [article]