Examines the relative merits of milk versus meat production by African pastoralists. Discusses the implications for livestock development policy.

Variability in woody plant species, vegetation assemblages and anthropogenic activities derails the efforts to have common approaches for estimating biomass and carbon stocks in Africa. In order to suggest management options, it is important to understand the vegetation dynamics and the major drivers governing the observed conditions. This study uses data from 29 sentinel landscapes (4640 plots) across the southern Africa. We used T-Square distance method to sample trees.

Knowledge of population dynamics is essential for managing and conserving wildlife. Traditional methods of counting wild animals such as aerial survey or ground counts not only disturb animals, but also can be labour intensive and costly. New, commercially available very high-resolution satellite images offer great potential for accurate estimates of animal abundance over large open areas. However, little research has been conducted in the area of satellite-aided wildlife census, although computer processing speeds and image analysis algorithms have vastly improved.

Bhutan is least developed, mountainous and landlocked country in the eastern Himalayan range with a population of over 600,000. However its population and ecosystems are vulnerable to climate change. Despite a high level of environmental protection and awareness, Bhutan has become a victim of the global impacts of climate change caused by emissions in other countries. There is little historical climate data available in Bhutan; current records date back only to 1994. Consequently, the future climate scenario for Bhutan is uncertain.

Poverty and vulnerability are among the major problems in Eastern and Southern Africa (ESA). To design appropriate poverty reduction initiatives for the region, it is not only important to understand the distribution of poverty but also the determinants. Various reports have documented information on the status, distribution and determinants of poverty in each of the countries.