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Whole farm quantification of GHG emissions within smallholder farms in developing countries

Last modified April 16, 2014 08:38

Environmental Research Letters Volume 9 Number 3. Whole farm quantification of GHG emissions within smallholder farms in developing countries. Focus on Improving Quantification of Agricultural Greenhouse Gases.

Environmental Research Letters Volume 9 Number 3

Whole farm quantification of GHG emissions within smallholder farms in developing countries

OPEN ACCESS Focus on Improving Quantification of Agricultural Greenhouse Gases

Matthias SeebauerResults for citeulike are currently unavailable for this article.

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Part of Focus on Improving Quantification of Agricultural Greenhouse Gases

The IPCC has compiled the best available scientific methods into published guidelines for estimating greenhouse gas emissions and emission removals from the land-use sector. In order to evaluate existing GHG quantification tools to comprehensively quantify GHG emissions and removals in smallholder conditions, farm scale quantification was tested with farm data from Western Kenya. After conducting a cluster analysis to identify different farm typologies GHG quantification was exercised using the VCS SALM methodology complemented with IPCC livestock emission factors and the cool farm tool. The emission profiles of four farm clusters representing the baseline conditions in the year 2009 are compared with 2011 where farmers adopted sustainable land management practices (SALM). The results demonstrate the variation in both the magnitude of the estimated GHG emissions per ha between different smallholder farm typologies and the emissions estimated by applying two different accounting tools. The farm scale quantification further shows that the adoption of SALM has a significant impact on emission reduction and removals and the mitigation benefits range between 4 and 6.5 tCO2 ha−1 yr−1 with significantly different mitigation benefits depending on typologies of the crop–livestock systems, their different agricultural practices, as well as adoption rates of improved practices. However, the inherent uncertainty related to the emission factors applied by accounting tools has substantial implications for reported agricultural emissions. With regard to uncertainty related to activity data, the assessment confirms the high variability within different farm types as well as between different parameters surveyed to comprehensively quantify GHG emissions within smallholder farms.

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