Over the past several decades, DRP Korea has suffered from extensive land degradation leading to the loss of livelihoods causing increased food insecurity. To restore degraded sloping land, the Ministry of Land and Environmental Protection of DPR of Korea (MoLEP), the Swiss Agency for Development and Cooperation (SDC) and the World Agroforestry Centre (ICRAF), have been promoting the multi-purpose use of trees to transform landscapes and livelihoods using a participatory approach.

Rangeland scientists and quantitative ecologists have developed numerous methods and monitoring techniques that can be used for vegetation sampling (Barbour et al. 1987). The methods used to position samples (transects, quadrats, lines, and points) vary and can be classed as selective, capricious, systematic, or random. One of the prerequisites for valid statistical inference is that samples are taken randomly. A random sampling procedure implies that all elements or units of the population being studied have an equal chance of being represented in the sample.

The contemporary concern about anthropogenic release of greenhouse gas (GHG) into the

environment and the contribution of livestock to this phenomenon have sparked animal

scientists’ interest in predicting methane (CH4) emissions by ruminants. Focusing on milk

production, we address six basic nutrition models or feeding standards (mostly empirical

systems) and five complex nutrition models (mostly mechanistic systems), describe their key

characteristics, and highlight their similarities and differences. Four models were selected to

G-Range is a global model that simulates generalized changes in rangelands through time,

created with support from the International Livestock Research Institute. Spatial data and a set

of parameters that control plant growth and other ecological attributes in landscape units

combine with computer code to represent ecological process such as soil nutrient and water

dynamics, vegetation growth, fire, and wild and domestic animal offtake. The model is spatial,

with areas of the world divided into square cells.

Climate change is a major development challenge to Ethiopia. Climate change is expected to

adversely affect all economic sectors, eco-regions, and social groups. Agriculture is one of the

most vulnerable sectors as it is highly dependent on rainfall. This report synthesises four case

studies focusing on the impacts, vulnerabilities and local adaptation practices in Ethiopia‘s

agricultural sector, including policy and institutional responses. The case studies were carried

This paper synthesizes knowledge within CGIAR and its partners on agricultural practices and technologies to enhance food security, resilience and productivity in a sustainable manner. A number of agricultural practices and technologies which contribute to these objectives were identified and assessed to generate four key lessons.