livestock geo-wiki: maps for a safer and more equitable livestock sector
DESCRIPTION
Poster prepared by Timothy Robinson, Catherine Pfeifer, William Wint, Simon Hay, Thomas van Boeckel, Giulia Conchedda, Giuseppina Cinardi, Jeroen Dijkman, Pierre Gerber, Theun Vellinger, Steffen Fritz, MarIna Duerauer, Gaëlle Nicolas and Marius Gilbert for the ILRI-CTA African Dairy Value Chain Seminar, Nairobi, Kenya, 21-24 September 2014 Global demand for meat, milk and eggs is driving livestock sector growth and transformation. Whilst this provides many economic opportunities, and promises to provide affordable animal source foods to many of the world’s undernourished poor, it comes with environmental, social and public health risks if not managed carefully. If policymakers are to guide sector growth along sustainable routes, particularly in the developing world, they will require sound analyses, based on reliable data.TRANSCRIPT
Livestock Geo-‐Wiki: Maps for a safer and more equitable livestock sector Timothy Robinson, Catherine Pfeifer, William Wint, Simon Hay, Thomas van Boeckel, Giulia Conchedda, Giuseppina Cinardi, Jeroen Dijkman, Pierre Gerber, Theun Vellinger, Steffen Fritz, MarIna Duerauer, Gaëlle Nicolas and Marius Gilbert
Global demand for meat, milk and eggs is driving livestock sector growth and transforma7on. Whilst this provides many economic opportuni7es, and promises to provide affordable animal source foods to many of the world’s undernourished poor, it comes with environmental, social and public health risks if not managed carefully. If policymakers are to guide sector growth along sustainable routes, par7cularly in the developing world, they will require sound analyses, based on reliable data.
The livestock distribu7on maps made available through the Livestock Geo-‐Wiki are an essen7al founda7on for much important environmental, epidemiological and other work today. These maps have already been central to es7ma7ng greenhouse gas emissions from the livestock sector, for example, and have been used to asses the risk of H7N9 (a new bird flu strain) spreading in East Asia (based on a boosted regression tree model that includes chicken and duck densi7es [Gilbert et al. 2014]). Gilbert et al. (2014) Predic7ng the risk of avian influenza A H7N9 infec7on in live-‐poultry markets across Asia. Nature CommunicaIons DOI: 10.1038/ncomms5116.
Timothy Robinson [email protected] ● P.O. Box 30709-‐00100 Nairobi Kenya ● + 254 20 422 3020 ● www.ilri.org Acknowledgements: This work is being funded by the CGIAR research programmes on the Humidtropics, Climate Change, Agriculture and Food Security (CCAFS) and Livestock and Fish
This document is licensed for use under a Crea7ve Commons Agribu7on – Non commercial-‐Share Alike 3.0 Unported License November 2014
Introduc7on
Materials and methods
Results
Research into use
H7N9 infec7on risk
Global, 1 km resolu7on maps of livestock densi7es are available for all of the major livestock species, and are already being downloaded and used The global pig map, shown to the lel, was recently reported by Vox to be among the 38 maps that explain the world economy. hgp://www.vox.com/2014/8/26/6063749/ 38-‐maps-‐that-‐explain-‐the-‐global-‐economy
In a recent effort to bring together and disseminate spa7al data rela7ng to the global livestock sector the Livestock Geo-‐Wiki (hgp://www.livestock.geo-‐wiki.org) is being developed by a group of interna7onal organiza7ons and universi7es. The mainstay of the wiki is a set of recently produced global livestock maps (Robinson et al. 2014). With livestock produc7on at the centre, other modules under development relate to global public goods: welfare, environment and pubic health. Robinson et al. (2014) Mapping the global distribu7on of livestock. PLoS ONE 9(5): e96084. doi:10.1371/journal.pone.0096084.
Modules
photo credit: ILRI/Chris Jost