To meet multiple environmental objectives, integrated programming is becoming increasingly important for the Global Environmental Facility (GEF). Integration of multiple environmental, social and economic objectives also contributes to the achievement of the Sustainable Development Goals (SDGs) in a timely and cost-effective way. However, integration is often not well defined. This report therefore focuses on identifying key aspects of integration and assessing their implementation in natural resources management projects.

Until recently, little attention has been paid to local innovation capacity as well as management practices and institutions developed by communities and other local actors based on their traditional knowledge. This paper doesn't focus on the results of scientific research into innovation systems, but rather on how local communities, in a network of supportive partnerships, draw knowledge for others, combine it with their own knowledge and then innovate in their local practices.

Mainstream agricultural research has focused primarily on technical and biological aspects and is aimed at controlling or manipulating nature through the use of external inputs, such as
agricultural chemicals or super seed. In developing countries, the results of this research have benefited some resource-rich farmers in well-endowed areas, were suitable to only a limited
extent for poorer farmers in the more favourable areas, and were - in most cases - completely inappropriate for small-scale farmers in marginal areas, e.g. in the mountains or the drylands.

The Nile Story is one of immense challenges and remarkable achievements for the economic development of the region. It begins in 1999, when the ministers in charge of water affairs in the Nile countries agreed to form the Nile Basin Initiative (NBI). Between 2003 and 2015, the Nile Basin Trust Fund (NBTF) supported and coordinated cooperative work in the region, which has been delivered mainly through the NBI.

Local innovation refers to the dynamics of Indigenous Knowledge (IK) - the knowledge that grows within a social group, incorporating learning from own experience over generations but also knowledge gained from other sources and fully internalized within local ways of thinking and doing. Local innovation is the process through which individuals or groups discover or develop new and better ways of managing resources - building on and expanding the boundaries of their IK.

-

Diversity field school (DFS) is a community-based action designed to create a platform for learning and sharing of crop diversity related knowledge and information. DFS places an emphasis on agency, participation, and empowerment, and seeks to develop both the knowledge base and leadership potential of local farmers. It adopts the models of farmers’ field school and community based management through a lens of crop genetic diversity.

The Livestock and Irrigation Value Chains for Ethiopian Smallholders (LIVES) project is funded by the Department of Foreign Affairs, Trade and Development Canada. The LIVES capacity development pillar seeks to strengthen innovation and the learning capacity of value chain actors and service providers to develop livestock and irrigation agriculture value chains. Using participatory processes to assess knowledge and skills gaps of value chain actors and service providers, it identifies capacity development interventions. Project staff then design and implement these interventions

Papa Andina began as a regional research program focusing on the Andean potato sectors of Bolivia, Ecuador and Peru, but later shifted its focus to facilitating pro-poor innovation. To accomplish this shift, a number of approaches were developed to foster innovation, by facilitating mutual learning and collective action among individuals and groups with differing, often conflicting, interests.

Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate.