Insuring African livestock: Development of the world's first insurance for African pastoralist herders.

Participatory digital mapping using satellite imagery and digital earth and other open source Geographic Information Systems (GIS) is a practical tool bridging the knowledge and communication gap between pastoral communities and county government planners. It is offering an effective option for participatory planning and decision-making in support of climate change adaptation in the drylands of Kenya.

In Pakistan, rangelands are the major source of feed for about 167.5 million heads of livestock. At present rangelands are being grazed by all kinds of livestock. About 40 percent of feed requirements for horses, donkeys and camels, 60 percent of the goats and sheep are met from rangelands whereas only 5-10 percent of the population of cattle and buffaloes graze in the rangelands despite they are heavily overgrazed, and has reduced the carrying capacity by 30 to 50 percent of their potential.

Describes a long-standing grazing dispute in northern Namibia that provides critical lessons on the challenges that people living in communal areas face to secure their land rights. Several large livestock owners illegally enclosed community rangelands to secure grazing for their own commercial cattle herds. The communities used legislation to defend their land rights: they mobilised relevant government and traditional authorities to intervene, resulting in a court order for the removal of most of the illegal cattle owners.

Smallholder farmers in Uganda face a wide range of agricultural production risks, with climate change and variability presenting new risks and vulnerabilities. Climate related risks such as prolonged dry seasons have become more frequent and intense with negative impacts on agricultural livelihoods and food security.

The study was conducted in central zone, Tigray, Northern Ethiopia, aimed with assessment of breeding practices and evaluation of estrus synchronization of dairy cattle. The study of the survey covered 180 households found in per-urban and rural areas of Ahferom, Adwa and Laelay michew district which included 113 in rural areas and 67 in per-urban areas of the districts. The Information was collected from secondary data, group discussion, AI technician, household level survey questionnaire, farm visit and personal observations.