A recently published study has revealed that the climate smartness of different farm strategies, or interventions not only depends on the strategy or intervention itself, but is also determined by an interaction between the characteristics of the farm household and the farm strategy.
To help track progress on countries’ mitigation pledges for Paris Agreement, the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the International Livestock Research Institute (ILRI) facilitated a science-policy dialogue on measurement, reporting and verification (MRV) of mitigation in the livestock sector on 7 November at COP22 in Marrakech, Morocco.
A new study carried out by scientists at the ILRI’s mazingira centre measured GHG emissions from livestock waste in Kenya. A recently published paper reveals that GHG emission factors recorded from the African livestock waste are at least ten times lower than calculations based on the simplest level of IPCC methods and data, Tier 1.
On 3 and 4 May 2016, policy makers from climate change departments of Kenya and Uganda met with scientists from the Mazingira Centre, and the coordination team from the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) for discussions on development of regional GHG inventories.
Increasing demands for meat and milk in developing countries and the associated production growth are driving the expansion of agriculture at the expense of environmental conservation and other land uses. While considerable attention has been directed at improving crop yields to alleviate the pressure on land, there has been far less attention on the implications …
Catherine Mungai, an ILRI–Climate Impact Research Capacity and Leadership Enhancement (CIRCLE) fellow, has won the best paper award at a symposium on Climate Change Adaptation in Africa in Ethiopia.
scientists from CIFOR, ILRI, ICRAF and partners found a way to combine GIS data and remote sensing data, with locally-sourced information on agricultural management, to stratify the landscapes into different kinds of land use types.