Tree Allometry in Tropical Forest of Congo for Carbon Stocks Estimation in Above-Ground Biomass

Ekoungoulou, Romeo; Liu, Xiaodong; Loumeto, Jean Joël; Ifo, Suspense Averti; Bocko, Yannick E.; Koula, Fleury Edgard; Niu, Shukui

doi:10.4236/ojf.2014.45052

Cited by 19 publications

(17 citation statements)

References 19 publications

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“…To estimate live tree biomass, diameters of all trees are measured and converted to biomass and carbon estimates (carbon = 50% of biomass) generally using allometric biomass regression equations [2] [3] [10] [24] [25] [26]. Global trees carbon estimations in tropical forests varies between 40% and 50% of the total biomass in terrestrial vegetation, indicating considerable uncertainty [8] [10] [26] [27]. Such uncertainty is the consequence of linking individual tree measurements to largescale patterns of carbon distribution, as well as the definition as to what constitutes "forest".…”

Section: Introductionmentioning

confidence: 99%

Tree Biomass Estimation in Central African Forests Using Allometric Models

Ekoungoulou¹,

Nzala²,

Liu³

et al. 2018

OJE

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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 m 2 ). 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 ). By this study, Ipendja forest ecosystem has clearly variations on the diameter-height relationship and biomass across the plots and the sites.

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Section: Introductionmentioning

confidence: 99%

Tree Biomass Estimation in Central African Forests Using Allometric Models

Ekoungoulou¹,

Nzala²,

Liu³

et al. 2018

OJE

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“…1). Average annual rainfall ranges between 1,500 to 2,000 mm (ANAC, 2013) while mean annual temperature ranges between 20°C to 35°C (ANAC, 2013; Ekoungoulou, 2014; Ekoungoulou et al, 2014b). This gives the Lesio-louna a characteristic tropical equatorial climate with varying long dry seasons and low temperatures (ANAC, 2013; Ekoungoulou et al, 2014a).…”

Section: Study Areamentioning

confidence: 99%

Assessing the Effectiveness of Protected Areas on Floristic Diversity in Tropical Forests

Ekoungoulou¹

2018

Appl. Ecol. Env. Res.

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Abstract. Understanding major drivers of tree species distribution and tropical forest composition is imperative for biodiversity conservation. This study aimed to assessing the floristic diversity and structure of Lesio-louna forest in southern Republic of Congo and its implications for sustainable development. The measurements were made in six plots: three plots located in the Iboubikro forest and three in Blue Lake Forest (circular plots of 1,256 m 2 or 40 m of plot diameter). 85 trees of DBH ≥ 10 cm, divided into 25 species and 14 families have been recorded. Biomass data was collected using the tree-ring or floristic inventory method and data analyzed using SPSS v.18.0 statistical software. The results showed that, the Fabaceae had significant trees (17 species), with a relative diversity index of 20% followed by the Mimosaceae with 14 species and a relative diversity index of 16%. Millettia laurentii, Pentaclethra eetveldeana, Eriocoelum macrocarpum, Millettia pinnata and Sorindeia juglandifolia were listed as most important species in the area based on their relative frequency. Further study has been done to identify and determine the trees taxon for Lesio-louna tropical forest and their phytogeographical distribution. Flora of Lesio-louna protected area has a remarkable diversity and the floristic richness is very considerable in its specific composition.

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“…The forest of the Patte d'Oie of Brazzaville is one of these witnesses. The forests of Republic of Congo and those studied by Ekoungoulou, (2014) on the Teke-Plateau are facies which one meets in the phytogeographical Pool province (Ekoungoulou et al, 2014b). The ombrophilous forests type of the Teke-plateau, evolve in wet bottoms funds and well drained valleys, whereas that of the Patte d'Oie develops on a lowland with psammitic substrate.…”

Section: Introductionmentioning

confidence: 99%

“…Tropical forests constitute the most diverse plant communities on earth (Supriya-Davi and Yadava, 2006;Ekoungoulou et al, 2014b;Fayolle et al, 2015;FAO, 2016). These forests are disappearing at alarming rates owing to deforestation for extraction of timber and other forests products (Supriya-Devi and Yadava, 2006;Ouedraogo et al, 2011;Ekoungoulou, 2014).…”

Section: Introductionmentioning

confidence: 99%

Ecological and Structural Analyses of Trees in an Evergreen Lowland Congo Basin Forest

Ekoungoulou¹,

Nzala²,

Liu³

et al. 2017

IJB

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Floristic inventory and diversity assessments are necessary to understand the present diversity status and conservation of forest biodiversity. Studying the variation height-diameter woody provides insight into the general characteristics of the trees diversity pattern. This study mainly focuses on aimed to assess the effectiveness of trees diversity and structure in two study sites. The study was conducted at Ipendja evergreen lowland moist forest in northern Republic of Congo. The sampling design was systematic consisted of parallel transect 1 or 2 km part, and divided into consecutive rectangular plots, each 5000m 2 (25 x 200 m, i.e. 0.5 ha). Within eight plots censuses, all trees with a DBH ≥ 10 cm were identified and measured. A total of 1340 trees has been recorded belonged 145 species and 36 families (n = 607 and n = 733, respectively in Mokelimwaekili and Sombo sites). The results show that the leading botanical families were Sapotaceae follows by Euphorbiaceae, Meliaceae, Caesalpiniaceae, Sterculiaceae, Annonaceae and Rubiaceae. The most representative species were C. mildbraedii, S. kamerunensis and P. oliveri, i.e. 62.06%, 30.34% and 28.27% respectively, demonstrated that they were the leading dominant species of this forest ecosystem. Shannon index were 4.29 bits for Mokelimwaekili and 4.22 bits for Sombo. While Pielou's evenness index was between 0.88 and 0.90, respectively for the Mokelimwaekili and Sombo sites. The similarity coefficient for Jaccard was 62% and 58% for Sorensen. There are highlight variations in tree diversity indices across sites and plots in Ipendja forest.

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Tree Allometry in Tropical Forest of Congo for Carbon Stocks Estimation in Above-Ground Biomass

Cited by 19 publications

References 19 publications

Tree Biomass Estimation in Central African Forests Using Allometric Models

Tree Biomass Estimation in Central African Forests Using Allometric Models

Assessing the Effectiveness of Protected Areas on Floristic Diversity in Tropical Forests

Ecological and Structural Analyses of Trees in an Evergreen Lowland Congo Basin Forest

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