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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Allometry and partitioning of above- and below-ground biomass in farmed eucalyptus species dominant in Western Kenyan agricultural landscapes
Biomass and Bioenergy, Volume 55, Year 2013
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Description
Farmers in developing countries are one of the world's largest and most efficient producers of sequestered carbon. However, measuring, monitoring and verifying how much carbon trees in smallholder farms are removing from the atmosphere has remained a great challenge in developing nations. Devising a reliable way for measuring carbon associated with trees in agricultural landscapes is essential for helping smallholder farmers benefit from emerging carbon markets. This study aimed to develop biomass equations specific to dominant eucalyptus species found in agricultural landscapes in Western Kenya. Allometric relationships were developed by regressing diameter at breast height (DBH) alone or DBH in combination with height, wood density or crown area against the biomass of 48 trees destructively sampled from a 100km2 site. DBH alone was a significant predictor variable and estimated aboveground biomass (AGB) with over 95% accuracy. The stems, branches and leaves formed up to 74, 22 and 4% of AGB, respectively, while belowground biomass (BGB) of the harvested trees accounted for 21% of the total tree biomass, yielding an overall root-to-shoot ratio (RS) of 0.27, which varied across tree size. Total tree biomass held in live Eucalyptus trees was estimated to be 24.4±0.01Mgha-1, equivalent to 11.7±0.01Mg of carbon per hectare. The equations presented provide useful tools for estimating tree carbon stocks of Eucalyptus in agricultural landscapes for bio-energy and carbon accounting. These equations can be applied to Eucalyptus in most agricultural systems with similar agro-ecological settings where tree growth parameters would fall within ranges comparable to the sampled population. © 2013 Elsevier Ltd.
Authors & Co-Authors
Kuyah, Shem
Kenya, Nairobi
Jomo Kenyatta University of Agriculture and Technology
Kenya, Nairobi
World Agroforestry Centre
Dietz, Johannes
Kenya, Nairobi
World Agroforestry Centre
Muthuri, Catherine
Kenya, Nairobi
Jomo Kenyatta University of Agriculture and Technology
Kenya, Nairobi
World Agroforestry Centre
Van Noordwijk, Meine V.
Kenya, Nairobi
World Agroforestry Centre
Neufeldt, Henry
Kenya, Nairobi
World Agroforestry Centre
Statistics
Citations: 68
Authors: 5
Affiliations: 2
Identifiers
Doi:
10.1016/j.biombioe.2013.02.011
ISSN:
09619534
Research Areas
Environmental
Study Design
Cross Sectional Study
Study Locations
Kenya