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Below-ground biomass production and allometric relationships of eucalyptus coppice plantation in the central highlands of Madagascar

Journal

BIOMASS & BIOENERGY
Volume 45, Issue -, Pages 1-10

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.biombioe.2011.01.020

Keywords

Allometry; Root biomass; Short rotation forestry; Coppice; Eucalyptus robusta Smith; Chronosequence

Funding

  1. Departement du Soutien et Formation des Communautes du Sud-Institution de Recherche pour le Developpement (DSF-IRD)
  2. French Government

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Short rotations of Eucalyptus plantations under coppice regime are extensively managed for wood production in Madagascar. Nevertheless, little is known about their biomass production and partitioning and their potential in terms of carbon sequestration. If above-ground biomass (AGB) can be estimated based on established allometric relations, below-ground (BGB) estimates are much less common. The aim of this work was to develop allometric equations to estimate biomass of these plantations, mainly for the root components. Data from 9 Eucalyptus robusta stands (47-87 years of plantation age, 3-5 years of coppice-shoot age) were collected and analyzed. Biomass of 3 sampled trees per stand was determined destructively. Dry weight of AGB components (leaves, branches and stems) were estimated as a function of basal area of all shoots per stump and dry weight for BGB components (mainly stump, coarse root (CR) and medium root (MR)) were estimated as a function of stump circumference. Biomass was then computed using allometric equations from stand inventory data. Stand biomass ranged from 102 to 130 Mg ha(-1) with more than 77% contained in the BGB components. The highest dry weight was allocated in the stump and in the CR (51% and 42% respectively) for BGB parts and in the stem (69%) for AGB part. Allometric relationships developed herein could be applied to other Eucalyptus plantations which present similar stand density and growing conditions; anyhow, more is needed to be investigated in understanding biomass production and partitioning over time for this kind of forest ecosystem. (c) 2011 Elsevier Ltd. All rights reserved.

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