Spanning four villages- Amei, Lolera, Lembapuli and Lesoit- and covering an expansive 81,237 hectares, the ALLOLE shared grazing land cluster stands as the largest in Kiteto District, Tanzania. This cluster serves as one of four sites in Tanzania for the CGIAR Research Initiative on Livestock and Climate participatory rangeland management (PRM) innovation, aiming to enhance the capacities of communities in managing, governing, securing and restoring their lands.

This working paper focuses on analyzing the dynamics of the peanut value chain in Senegal and identifying entry points to enhance its resilience. Using an innovative Group Model Building approach, the study explores the complexities of the chain, which is central to Senegalese agriculture, covering 40% of the total cultivated area.

Livestock route and related resources mapping, understanding their status and better protection of the routes in the pastoral areas are the first steps towards developing the areas. With this regard, International Livestock Research Institute (ILRI), in collaboration with other partners, conducted participatory livestock routes and related resources mapping activities in selected pastoral woredas of the Oromia region and Somali region with European Union (EU) funded project, the so called Health of Ethiopian Animals for Rural Development (HEARD).

A range of studies have highlighted the negative impacts of Covid-19 disruptions on incomes, food and nutrition security among rural agricultural communities in developing countries. However, knowledge of how such disruptions affect different categories of small-scale farmers in Sub-Sahara Africa is lacking.

This detailed activity report outlines the comprehensive approach taken to construct drying racks. This technology can promote women’s fish processors’ participation in the fisheries value chain and their economic resilience to the economic impacts of climate change in the sector. The technology was selected based on a study on women’s fisherfolk’s resilience

Maize prices fluctuate significantly throughout the year in Malawi, creating winners and losers depending on who is selling and who is buying the staple at different times. We link maize market price data to nationally and temporally representative household survey data on maize sales and purchases to quantify welfare gains and losses throughout the year. A stable maize price would lead to only a modest increase in Malawi’s total social surplus when summed across a whole year, but a dramatic reduction in hunger during the lean season.

The cattle sector plays a pivotal role in the economies of numerous Latin American and Caribbean countries. However, it also exerts a significant impact on environmental degradation, including substantial contributions to greenhouse gas emissions (accounting for 23.5 % of global livestock emissions) and deforestation (70 % attributed to livestock in South America).

A wealth of publicly available satellite data and open-source models allowed researchers to measure carbon stocks in a watershed in India, despite a paucity of on-the-ground data. They found that despite rapid urbanization over the last 20 years, carbon stocks remained relatively stable – possibly due to successful reforestation activities. The research points to how nature-positive solutions can be designed and measured at scale. The research also lays the foundation for global studies to promote a deeper understanding of ecosystem services and sustainable land management.

Land degradation is a severe environmental problem in the northern and northwestern Ethiopian highlands. As a response to increasing land degradation, rehabilitation of degraded grazing lands through exclosures (exclusion of farmers and domestic animals) has been undertaken. This study aimed to evaluate the effectiveness of 11 and 8-year exclosures in improving degraded landscapes in the Karita-Wuha and Dengora watersheds. It was assumed that the conditions on communal grazing lands at the time of the investigation corresponded to those at the establishment of exclosures.

Agriculture consumes the largest share of freshwater globally; therefore, distinguishing between rainfed and irrigated croplands is essential for agricultural water management and food security. In this study, a framework incorporating the Budyko model was used to differentiate between rainfed and irrigated cropland areas in Africa for eight remote sensing landcover products and a high-confidence cropland map (HCCM). The HCCM was generated for calibration and validation of the crop partitioning framework as an alternative to individual cropland masks which exhibit high disagreement.