World Agroforestry Centre | Page 6 | Land Portal

The World Agroforestry Centre (ICRAF) is a CGIAR Consortium Research Centre. ICRAF’s headquarters are in Nairobi, Kenya, with six regional offices located in Cameroon, China, India, Indonesia, Kenya and Peru. 


The Centre’s vision is a rural transformation throughout the tropics as smallholder households increase their use of trees in agricultural landscapes to improve their food security, nutrition security, income, health, shelter, social cohesion, energy resources and environmental sustainability.


ICRAF's mission is to generate science-based knowledge about the diverse benefits - both direct and indirect - of agroforestry, or trees in farming systems and landscapes, and to disseminate this knowledge to develop policy options and promote  policies and practices that improve livelihoods and benefit the environment.


The World Agroforestry Centre is guided by the broad development challenges pursued by the  CGIAR. These include poverty alleviation that entails enhanced food security and health, improved productivity with lower environmental and social costs, and resilience in the face of climate change and other external shocks.


ICRAF's work also addresses many of the issues being tackled by the Sustainable Development Goals (SDGs) that aim to eradicate hunger, reduce poverty, provide affordable and clean energy, protect life on land and combat climate change.

World Agroforestry Centre Resources

Displaying 26 - 30 of 134
Library Resource
Journal Articles & Books
June, 2017

Accountability and adaptive management of recent global agreements such as the Sustainable Development Goals and Paris Climate Agreement, will in part rely on the ability to track progress toward the social and environmental targets they set. Current metrics and monitoring systems, however, are not yet up to the task. We argue that there is an imperative to consider principles of coherence (what to measure), standardization (how to measure) and decision-relevance (why to measure) when designing monitoring schemes if they are to be practical and useful.

Library Resource
Journal Articles & Books
April, 2017
Burkina Faso, Africa, Western Africa

The fire severity of the 2013–2014 fire season within Sudanian ecosystems in Burkina Faso was evaluated from Landsat 8 images using derivatives of the Normalized Burn Ratio algorithm (NBR). The relationship between the image-derived severity and the field observed severity i.e. Composite Burn Index (CBI) was best described by a nonlinear model of the form y = a + b*EXP(CBI *c) (R2 = 0.66). Classification of the image-derived burned area into burn severity classes achieved a classification Kappa accuracy statistic of 0.56.

Library Resource
Journal Articles & Books
March, 2017
Ethiopia, Kenya, Tanzania, Uganda, Africa, Eastern Africa

Adapting to climate risks is central to the goal of increasing food security and enhancing resilience of farming systems in East Africa. We examined farmers’ attitudes and assessed determinants of adaptation using data from a random sample of 500 households in Borana, Ethiopia, Nyando, Kenya, Hoima Uganda, and Lushoto, Tanzania. Adaptation was measured using a livelihood-based index that assigned weights to different individual strategies based on their marginal contributions to a household’s livelihood.

Library Resource
Journal Articles & Books
February, 2017

Oil palm, currently the world’s main vegetable oil crop, is characterised by a large productivity and a long life span (?25 years). Peak oil yields of 12 t ha?1 yr?1 have been achieved in small plantations, and maximum theoretical yields as calculated with simulation models are 18.5 t oil ha?1 yr?1, yet average productivity worldwide has stagnated around 3 t oil ha?1 yr?1. Considering the threat of expansion into valuable rainforests, it is important that the factors underlying these existing yield gaps are understood and, where feasible, addressed.

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