This paper analyses gender differences in awareness and adoption of climate-smart agricultural (CSA) practices. It examines what factors are associated with the likelihood of adoption of a wide range of CSA practices for 376 women and 375 men in two different areas of Kenya. This information is aimed at improving the targeting and design of interventions that are trying to achieve greater and more equitable agricultural development in East Africa and elsewhere.

Perú tiene una población de treinta millones de personas de las que el 22% vive en zonas rurales. Mujeres y hombres juegan roles esenciales en el ámbito rural del país pues ambos son productores, administradores de recursos, garantes de la seguridad alimentaria, tomadores de decisión y cuidadores de la biodiversidad. Sin embargo, las mujeres rurales no tienen el mismo acceso a recursos productivos y a espacios de toma de decisiones que los hombres, lo que implica una brecha de género en la producción.

Climate-induced livelihood transitons in the agricultural systems of Africa are increasingly likely. There has been only limited study on what such transitons might look like, but it is clear that the implicatons could be profound in relaton to social, environmental, economic and politcal efects at local and natonal levels.

Including inland water bodies, Ghana covers 238,539 square kilometers and is located on the south central coast of West Africa. The country shares bor¬ders in the east with Togo, in the north with Burkina Faso, and in the west with Côte d’Ivoire. The topography of Ghana is mainly undulating, with most slopes less than 5 percent and many not exceeding 1 percent. The topography of the high rainforest is, however, mainly strongly rolling. The uplifted edges of the Voltarian basin give rise to narrow plateaus between 300 and 600 meters in elevation (Boateng 1998).

Carbon footprint is a key indicator of the contribution of food production to climate change and its importance is increasing worldwide. Although it has been used as a sustainability index for assessing production systems, it does not take into account many other biophysical environmental dimensions more relevant at the local scale, such as soil erosion, nutrient imbalance, and pesticide contamination.

In April of 2010, Drs. Mario Herrero and Philip Thornton of the International Livestock Research Institute contracted with Drs. Boone and Conant to create a global rangeland model of moderate complexity. Boone was funded for a 50 day effort, and Conant for ca. 40 days. An opportunity to prepare a manuscript for a special issue of the Proceedings of the National Academy of Science arose, and Conant took the lead in that effort. Boone created the rangeland model, called G-Range, with input from Conant, drawing upon existing models and new information (see Acknowledgements).