Science and Education Publishing Applied Ecology and Environmental Sciences 2328-3920 3 2 2015 04 22 Evaluating the Carbon Stock in Above-and Below-Ground Biomass in a Moist Central African Forest 51 59 EN Romeo Ekoungoulou Shukui Niu Jean Jo?l Loumeto Suspense Averti Ifo Yannick Enock Bocko Fleury Edgard Koula Mikieleko Eusebe Devalon Mpane Guiekisse Hamidou Senou Xiaodong Liu Laboratory of Ecological Planning and Management, College of Forestry, Beijing Forestry University, Beijing 100083, China AEES2015324 10.12691/aees-3-2-4 2015 02 22 2015 04 08 2015 04 22 The study aimed to estimate the carbon stocks of above-and below-ground biomass in Lesio-louna forest (Republic of Congo). The methodology of allometric equations was used to measure the carbon stocks of Lesio-louna moist forest. The research was done with 22 circular plots, each 1,256 m2. In the 22 plots, we made measurements on a total of 347 trees with 197 trees for the class of 10-30 cm diameter, 131 trees for the class of 30-60 cm diameter and 19 trees in the diameter class > 60 cm. The results shows that in the whole forest, the average carbon stock across the 22 plots studied was 168.601 t C ha-1 for aboveground biomass (AGB), or 81% and 39.55t C ha-1 for belowground biomass (BGB), or 19%. The total carbon stocks in all the biomass was 3,395 t C for aboveground biomass (AGB) and 909.689 t C for belowground biomass (BGB).This study indicates that the forests in the studied sites are an important carbon sink, and they can also play a key role in global climate change mitigation. Lesio-louna tropical forest has the capacity to trap vast amounts of carbon which would otherwise escape into the atmosphere as CO2, one of the worst greenhouse gases (GHGs) offenders.