The use of biomass production and allometric models to estimate carbon sequestration of Jatropha curcas L. plantations in western Burkina Faso

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• 作者：Philippe Bayen ; Fidèle Bognounou…
• 关键词：Allometry ; Aboveground biomass ; Carbon content ; Prediction equation ; Plantations ; Biodiesel
• 刊名：Environment, Development and Sustainability
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：18
• 期：1
• 页码：143-156
• 全文大小：665 KB
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• 作者单位：Philippe Bayen (1)
  Fidèle Bognounou (2)
  Anne Mette Lykke (3)
  Makido Ouédraogo (4)
  Adjima Thiombiano (1)
  
  1. Laboratory of Plant Biology and Ecology, University of Ouagadougou, 09 BP 848, Ouagadougou 09, Burkina Faso
  2. Department of Biological Sciences, University of Québec, Montréal, QC, Canada
  3. Department of Bioscience, Aarhus University, Aarhus, Denmark
  4. Department of Research and Development, Agritech-Faso, Ouagadougou, Burkina Faso
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environmental Management
  Economic Growth
  Ecology
  Economic Geology
  Environmental Economics
  
• 出版者：Springer Netherlands
• ISSN：1573-2975

文摘

The topic of carbon sequestration in plants has received much attention recently due to concerns about global climate change, which is being exacerbated by deforestation. In the early days of the global bioenergy boom, the private sector and non-government organizations enthusiastically promoted the planting of Jatropha curcas L. as a key candidate shrub species for the production of bioenergy in West Africa. This study investigates the aboveground biomass production and carbon sequestration potential of J. curcas, which is already widely cultivated for the production of oil seeds, biodiesel and biokerosene. The specific objective is to use a destructive method to develop allometric prediction equations of the aboveground biomass production of J. curcas plantations. 38 J. curcas shrubs were harvested and weighed in order to estimate biomass production. These data were used to develop allometric equations for the estimation of wood, leaf and total aboveground biomass production. The best-fit models found for estimating shrub component biomass and total aboveground biomass production were of the power form. All of the regression equations relating the prediction of leaf biomass, wood biomass and total aboveground biomass with J. curcas diameter at 20 cm above the ground (D) were statistically significant (p < 0.001) and also presented the highest goodness of fit (high R 2). The aboveground biomass carbon content was estimated using the ash method. Carbon content in leaves and wood was, respectively, 48 and 54 %. The current established allometric equations can be helpful to provide a rapid estimation of the aboveground biomass and C stock for J. curcas biofuel projects in semi-arid conditions. Keywords Allometry Aboveground biomass Carbon content Prediction equation Plantations Biodiesel