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Ploton, P., Barbier, N., Takoudjou Momo, T.S, Rejou-Mechain, M., Bosela, B.F., Chuyong, G., Dauby, G., Droissart, V., Fayolle, A., Goodman, C.S., Henry, M., Thomas, D., Zebaze, D., Couteron, P., Berger, U. and Pelissier, R. (2016) Closing a Gap in Tropical Forest Biomass Estimation: Taking Crown Mass Variation into Account in Pantropical Allometries. Biogeosciences, 13, 1571-1585.
https://doi.org/10.5194/bg-13-1571-2016

has been cited by the following article:

• TITLE: Tree Biomass Estimation in Central African Forests Using Allometric Models

  AUTHORS: Romeo Ekoungoulou, Donatien Nzala, Xiaodong Liu, Shukui Niu

  KEYWORDS: Aboveground Biomass, Allometry, Belowground Biomass, Ipendja, Mokelimwaekili, Sombo

  JOURNAL NAME: Open Journal of Ecology, Vol.8 No.3, March 30, 2018

  ABSTRACT: Quantifying the tropical forests’ carbon stocks is presently an important component in the implementation of the emerging carbon credit market mechanisms. This calls for appropriate allometric equations predicting biomass which currently are scarce. In this study, we aimed to estimate above- and below-ground biomass and carbon stocks of trees, and to identify the variation in diameter-height allometry of Ipendja mixed terra firme lowland tropical forest’s trees. The study area is located at Ipendja forest management unit (UFA), close to Dongou district (Likouala Department), in Northern Republic of Congo. This study combined forest inventory data of 1340 trees recorded from eight studied plots distributed in two sites, respectively Mokelimwaekili (i.e., Old-growth forest) and Sombo (i.e., Selective logging forest). Trees measurements were done with rectangular plots, each 25 × 200 m (i.e., 0.5 ha, 5000 m2). In eight studied plots (4 plots per site), only trees with DBH ≥ 10 cm were measured and identified. 1340 trees founded were belonged 145 species and 36 botanical families (n = 733 and n = 607, for Sombo and Mokelimwaekili respectively). The analyses were conducted using allometric method for aboveground biomass (AGB) and belowground biomass (BGB) estimations. The results showed that in Ipendja forest ecosystem the mean biomass is built up for AGB (346 Mg·ha-1) as well as for BGB (81.3 Mg·ha-1), with a significant difference between forest types (F = 23.46, df = 7.771, P = 0.001). It was obvious that biomasses in Mokelimwaekili (AGB: 559.7 Mg·ha-1, BGB: 131 Mg·ha-1) were higher than those of Sombo (AGB: 291.8 Mg·ha-1, BGB: 68.5 Mg·ha-1). By this study, Ipendja forest ecosystem has clearly variations on the diameter-height relationship and biomass across the plots and the sites.