Aboveground biomass allometric equations and carbon content of the shea butter tree (Vitellaria paradoxa C.F. Gaertn., Sapotaceae) components in Sudanian savannas (West Africa)

Dimobe, Kangbéni; Goetze, Dethardt; Ouédraogo, Amadé; Mensah, Sylvanus; Akpagana, Koffi; Porembski, Stefan; Thiombiano, Adjima

doi:10.1007/s10457-018-0213-y

Cited by 23 publications

(39 citation statements)

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“…For biomass sampling, individuals of A. africana were grouped into different classes of dbh. Individual trees from the most abundant classes were sampled (Mbow et al 2013;Dimobe et al 2018a). Then 60 individual trees (30 in Fig.…”

Section: Sampling Design and Data Collectionmentioning

confidence: 99%

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

et al. 2019

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The significant role of tropical forest ecosystems in the global carbon budget has increased the need for accurate estimates of tropical forest biomass. The lack of large-scale biomass allometric equations hampers the understanding of the spatial distribution of tree biomass and carbon stocks and their influencing factors in West Africa. This study aimed to develop allometric equations to estimate aboveground biomass of African oak (Afzelia africana Sm.) in Burkina Faso and to analyze factors affecting the variability of tree biomass and carbon storage. Sixty individual trees were destructively sampled in four protected areas along two climatic zones. In each climatic zone, log-log models were tested and fitted to each aboveground biomass component and to the total aboveground biomass. Carbon content in tree aboveground components was evaluated using the ash method. All validated equations showed good fit and performance with high explained variance. Allometric equations differed between the Sudano-sahelian zone and the Sudanian zone, except for leaf biomass equations. Both biomass allocation and carbon content varied significantly between tree components but not between climatic zones. Carbon content in tree components followed the patterns of biomass allocation with branches accounting for the highest proportion. In the two climatic zones, carbon contents were 50.18-52.62% for leaves, 54.78-54.94% for stems and 54.96-55.99% for branches. Dry biomass ranged from 509.05 to 765.56 kg tree-1 at site level and from 620.21 to 624.48 kg tree-1 along climatic zones. Carbon content varied from 53.90% in the Sudano-sahelian zone to 54.39% in the Sudanian zone. This study indicated that climate does not influence aboveground biomass production and carbon sequestration of Afzelia africana along the Sudanosahelian and the Sudanian climatic zones of Burkina Faso. Future studies on climate-growth relationships should contribute to better understanding climate effects on biomass production and carbon storage.

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Section: Sampling Design and Data Collectionmentioning

confidence: 99%

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

et al. 2019

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“…The high biomass in croplands is attributed to the presence of high biomass trees while the shrub savanna and tree savanna are dominated by moderate to low biomass trees, which occur in high numbers. It could also be explained by higher tree density, large trees, and also the presence of trees with a high potential for carbon storage such Vitellaria paradoxa [16].…”

Section: Carbon In Plant Biomassmentioning

confidence: 99%

“…So far, the most accurate method of measuring tree biomass has been destructive sampling [14][15][16][17], where trees are selected, cut, packaged, and dried to constant mass. However, the use of allometric models (non-destructive method) seems to be more respectful of nature and is an essential tool for estimating the individual biomass of trees.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have been conducted on the potential of soils to sequester carbon [21][22][23][24][25][26] and plant biomass [16,17,[27][28][29][30][31][32] in semi-arid landscapes and their possible contribution to climate change mitigation. However, these studies only focused on the carbon stocks present either in the aboveground biomass or the soil, without integrating all these components at the same time.…”

Section: Introductionmentioning

confidence: 99%

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Predicting the Potential Impact of Climate Change on Carbon Stock in Semi-Arid West African Savannas

Dimobe

Kouakou

Tondoh

et al. 2018

Land

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West African savannas are experiencing rapid land cover change that threatens biodiversity and affects ecosystem productivity through the loss of habitat and biomass, and carbon emissions into the atmosphere exacerbating climate change effects. Therefore, reducing carbon emissions from deforestation and forest degradation in these areas is critical in the efforts to combat climate change. For such restorative actions to be successful, they must be grounded on a clear knowledge of the extent to which climate change affects carbon storage in soil and biomass according to different land uses. The current study was undertaken in semi-arid savannas in Dano, southwestern Burkina Faso, with the threefold objective of: (i) identifying the main land use and land cover categories (LULCc) in a watershed; (ii) assessing the carbon stocks (biomass and soil) in the selected LULCc; and (iii) predicting the effects of climate change on the spatial distribution of the carbon stock. Dendrometric data (Diameter at Breast Height (DBH) and height) of woody species and soil samples were measured and collected, respectively, in 43 plots, each measuring 50 × 20 m. Tree biomass carbon stocks were calculated using allometric equations while soil organic carbon (SOC) stocks were measured at two depths (0–20 and 20–50 cm). To assess the impact of climate change on carbon stocks, geographical location records of carbon stocks, remote sensing spectral bands, topographic data, and bioclimatic variables were used. For projections of future climatic conditions, predictions from two climate models (MPI-ESM-MR and HadGEM2-ES) of CMIP5 were used under Representative Concentration Pathway (RCP) 8.5 and modeling was performed using random forest regression. Results showed that the most dominant LULCc are cropland (37.2%) and tree savannas (35.51%). Carbon stocks in woody biomass were higher in woodland (10.2 ± 6.4 Mg·ha−1) and gallery forests (7.75 ± 4.05 Mg·ha−1), while the lowest values were recorded in shrub savannas (0.9 ± 1.2 Mg·ha−1) and tree savannas (1.6 ± 0.6 Mg·ha−1). The highest SOC stock was recorded in gallery forests (30.2 ± 15.6 Mg·ha−1) and the lowest in the cropland (14.9 ± 5.7 Mg·ha−1). Based on modeling results, it appears clearly that climate change might have an impact on carbon stock at horizon 2070 by decreasing the storage capacity of various land units which are currently suitable. The decrease was more important under HadGEM2-ES (90.0%) and less under MPI-ESM-MR (89.4%). These findings call for smart and sustainable land use management practices in the study area to unlock the potential of these landscapes to sequestering carbon.

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“…In general, traditional agroforestry practices are favourable to the development of shea tree, and therefore, sustainable management strategies of the species should be built on and/or improved the existing management practices (Boffa, ). The ecological importance of shea tree, especially its potential in carbon sequestration and soil protection has been addressed to motivate decision‐makers to support and develop the actions of practical conservation (Bayala, Teklehaimanot, & Ouédraogo, ; Dimobe et al, ). Significant numbers of studies were also conducted on genetic diversity of shea tree to strengthen conservation strategies and tree improvement of the species (Lovett & Haq, ; Sanou, Lovett, & Bouvet, ; Sanou et al, ; Ugese, Baiyeri, & Mbah, ).…”

Section: Introductionmentioning

confidence: 99%

Impact of environmental conditions on fruit production patterns of shea tree (Vitellaria paradoxa C.F.Gaertn) in West Africa

et al. 2019

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A better knowledge of the impact of environmental conditions on shea tree’s fruit production is critical to improve the species management. Fruit production of 237 shea trees was monitored over five successive years (2014–2018) to understand how climatic variables, shea tree population and land use could affect fruit production patterns of the species in Burkina Faso. Data were collected in 12 shea tree populations distributed in three climatic zones with two contrast land use systems. The results showed that fruit production was negatively correlated with mean annual temperature, temperature seasonality, rainfall seasonality and solar radiation, while it was positive with annual rainfall. Therefore, fruiting modelling is needed to predict the impact of future climate change on reproductive ability of the species. In each climatic zone, fruit production was significantly different among shea tree populations (p < 0.05). Within populations, fruit production greatly varies among years with specific patterns of variation. Land use had significant effect on fruit production of shea tree (p < 0.05). Annually, shea trees produced about 12 times more in agroforestry parklands than in protected areas. Interannual variation in fruit production at individual tree level was higher in protected areas. The cultivation of shea tree is recommended to improve its fruit productivity.

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Aboveground biomass allometric equations and carbon content of the shea butter tree (Vitellaria paradoxa C.F. Gaertn., Sapotaceae) components in Sudanian savannas (West Africa)

Cited by 23 publications

References 53 publications

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

Predicting the Potential Impact of Climate Change on Carbon Stock in Semi-Arid West African Savannas

Impact of environmental conditions on fruit production patterns of shea tree (Vitellaria paradoxa C.F.Gaertn) in West Africa

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