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.
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 …
A data revolution is quietly unfolding in sub-Saharan Africa and empowering sustainable development and resilience for a new generation of policymakers.
Variability in crop and pasture, whether caused by weather, natural disaster, pests and diseases, or political conflict, is arguably the greatest threat to resilience and food security in the Horn of Africa. At the same time, the building blocks of national statistical systems are weak and data challenges are a crushing reality in Africa.
To address this problem, a growing number of analysts are tackling so-called informational wastelands through open-access global and household datasets, pseudo-panels, spatial data analytics and communities of practice.
Written by Fiona Flintan, Rangelands Governance Scientist, ILRI On Monday 20 July 2015, in a meeting organised by the International Livestock Research Institute (ILRI) together with other partners in the livestock sector in Tanzania, President Dr Jakaya Mrisho Kikwete launched the Tanzania’s Livestock Modernization Initiative (TLMI). The Initiative had been prepared during an intensive week-long …
Governments and non-governmental organizations seeking to improve the well-being of herders in the arid and semi-arid rangelands of East Africa and the Greater Horn of Africa often receive contradictory recommendations on how to address land degradation through changing grazing management.
We need to step back from the discussion about the multiple meanings of resilience, how it can be focused and measured, and put resilience building projects into a framework for making sense out of systems. If we do not know, or cannot agree on what kind of system is being managed by resilience building projects, it will be impossible to decide on an appropriate project design. Activities, objectives and indicators will be a muddle of intervention parts that belong to different systems.
Understanding the development process and how it unfurls against those headwinds is crucial to understanding the nature of development outcomes. The relative steadiness of the development process can be highly informative of progress towards long term development goals. We can examine whether smooth, steady growth on a particular trajectory is preferable to a more volatile progress.