Abstract

Reducing greenhouse gas (GHG) emissions from agriculture has become a critical target in national climate change policies. More than 80% of the countries in Sub-Saharan Africa (SSA) refer to the reduction of agricultural emissions, including livestock, in their nationally determined contribution (NDC) to mitigate climate change. The livestock sector in Kenya contributes largely to the gross domestic product and to GHG emissions from the land use sector. The government has recently pledged in its NDC to curb total GHG emissions by 30% by 2030. Quantifying and linking the mitigation potential of farm practices to national targets is required to support realistically the implementation of NDCs. Improvements in feed and manure management represent promising mitigation options for dairy production. This study aimed (i) to assess mitigation and food production benefits of feed and manure management scenarios, including land use changes covering Kenya’s entire dairy production region and (ii) to analyse the contribution of these practices to national targets on milk production and mitigation, and their biophysical feasibility given the availability of arable land. The results indicate that improving forage quality by increasing the use of Napier grass and supplementing dairy concentrates supports Kenya’s NDC target, reduces emission intensities by 26%–31%, partially achieves the national milk productivity target for 2030 by 38%–41%, and shows high feasibility given the availability of arable land. Covering manure heaps may reduce emissions from manure management by 68%. In contrast, including maize silage in cattle diets would not reduce emission intensities due to the risk of ten-fold higher emissions from the conversion of land required to grow additional maize. The shortage of arable land may render the implementation of these improved feed practices largely infeasible. This assessment provides the first quantitative estimates of the potential of feed intensification and manure management to mitigate GHG emissions and to increase milk yields at sectoral-level and at a high spatial resolution for an SSA country. The scientific evidence is tailored to support actual policy and decision-making processes at the national level, such as ‘Nationally Appropriate Mitigation Actions’. Linking feed intensification and manure management strategies with spatially-explicit estimates of mitigation and food production to national targets may help the sector to access climate financing while contributing to food security.

Highlights

  • Greenhouse gas (GHG) emissions from ‘Agriculture, Forestry and Other Land Uses’ (AFOLU) are estimated to contribute 24% of total anthropogenic greenhouse gas (GHG) emissions (Smith et al 2014)

  • Effects of feed intensification and manure management on total GHG emissions and emission intensities Across all scenarios, the simulations showed an average increase in total GHG emissions of 39.5% ± 23.0% per tropical livestock unit (TLU) compared to the baseline

  • The lowest increase was shown for the forage quality and concentrate supplementation (FoCo) scenario at medium level of intensification and the highest increase was indicated for the FoFeCo scenario at high level of intensification

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Summary

Introduction

Greenhouse gas (GHG) emissions from ‘Agriculture, Forestry and Other Land Uses’ (AFOLU) are estimated to contribute 24% of total anthropogenic GHG emissions (Smith et al 2014). The global livestock production as a sub-sector of AFOLU emits between 10%–14.5% of total GHG emissions, of which 4% are due to dairy production (Gerber et al 2010, 2013, Westhoek et al 2011). The development of schemes that mitigate AFOLU emissions such as ‘Nationally Appropriate Mitigation Actions’ (NAMAs) have recently gained attention from governments that ratified the Paris climate agreement under the ‘United Nations Framework Convention on Climate Change’ (Grassi et al 2017, UNFCCC 2011). Countries express their mitigation targets in the ‘Nationally Determined Contributions’ (NDCs). Focussing on livestock production in Kenya is highly relevant since it is responsible for about 30% of its total GHG emissions and contributes about 45% to the agricultural gross domestic product (Government of Kenya 2015a, McDermott et al 2010)

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