Poster prepared by Michael W. Graham, Lutz Merbold, Nathan D. Jensen and Philemon Chelanga for the GASL Africa 1 Regional online Meeting, 2-3 September 2020
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A long, dry season of COVID-19 in sub-Saharan Africa? The environmental impacts of the pandemic in the livestock sector in northern Kenya
1. This document is licensed for use under the Creative Commons Attribution
4.0 International Licence. August 2020
Livestock are primary source of GHG emissions from
agriculture in Africa, but impacts of COVID-19 pandemic on
emissions have not been studied
We conduct a panel survey and use crowd-sourced data on
effects of COVID-19 on GHG emissions for pastoralist
systems in Northern Kenya
Three-part framework for assessing effects of COVID-19 on
livestock GHG emissions:
Changes in herd size
Changes in feed availability
Changes in animal movement
A long, dry season of COVID-19 in
sub-Saharan Africa? The environmental
impacts of the pandemic in the livestock
sector in Northern Kenya
Insert images or graphs in different locations in
the margins
Michael W. Graham (m.graham@cgiar.org)
Lutz Merbold (l.merbold@cgiar.org)
Nathan D. Jensen (n.jensen@cgiar.org)
Philemon Chelanga (p.chelanga@cgiar.org)
International Livestock Research Institute (ILRI)
Nairobi, Kenya
Locations for panel surveys of key stakeholders in Samburu County, Kenya
Context
• Government restrictions on human and animal
movement within Kenya and across international
borders, as well as associated socio-economic
impacts, may impact GHG emissions from livestock
• Pastoralist systems depend on movement for access
to resources across seasons
• COVID-19 may differ from other external shocks
(e.g., drought) because it primarily affects mobility
Our three-part framework
CLIMATE & NATURAL
RESOURCE USE
CH4 N2O
Smaller herd
Lower emissions
1. Herd size
Larger herd
Higher emissions
Methods and Objectives
• Use panel and crowd-sourced (KAZNET) data to
assess COVID-19 effects on livestock GHG
emissions from pastoralist systems in Samburu
County, Northern Kenya, following three-part
framework
• Develop guidelines for estimating changes in GHG
emissions due to future shocks (e.g., zoonotic
disease outbreaks, climatic events)
2. Feed availability
Less feed available
Lower emissions
More feed available
Higher emissions
3. Animal movement
Less movement
Lower emissions
More movement
Higher emissions
N2O
CH4
N2O
CH4
N2O
CH4
CH4 N2O N2O
CH4
N2O
CH4
CH4 N2O N2O
CH4
N2O
CH4