Your search found 3 records
1 Smith, D. R.; Sutherland, A. 2002. Institutionalizing impact orientation.: Building a performance management approach that enhances the impact orientation of research organizations. Chatham, UK: Natural Resources Institute. x, 113p.
Organizational development ; Agricultural research ; Performance indexes ; Human resource development
(Location: IWMI-HQ Call no: 630.6 G000 SMI Record No: H034735)
2 Vermeulen, S. J.; Challinor, A. J.; Thornton, P. K.; Campbell, B. M.; Eriyagama, Nishadi; Vervoort, J; Kinyangi, J.; Jarvis, A.; Laderach, P.; Ramirez-Villegas, J.; Nicklin, K. J.; Hawkins, E.; Smith, D. R.. 2013. Addressing uncertainty in adaptation planning for agriculture. Proceedings of the National Academy of Sciences of the United States of America, 110(21): 8357-8362.
Climate change ; Adaptation ; Uncertainty ; Agriculture ; Food security ; Developing countries ; Coffee ; Models ; Case studies ; Stakeholders ; Decision making ; Greenhouse gases / Sri Lanka / East Africa / Central America
(Location: IWMI HQ Call no: e-copy only Record No: H045835)
(0.90 MB) (921.17KB)
We present a framework for prioritizing adaptation approaches at a range of timeframes. The framework is illustrated by four case studies from developing countries, each with associated characterisation of uncertainty. Two cases, on near-term adaptation planning in Sri Lanka and on stakeholder scenario exercises in East Africa, show how the relative utility of ‘capacity’ versus ‘impact’ approaches to adaptation planning differ with level of uncertainty and associated lead time. A further two cases demonstrate that it is possible to identify uncertainties that are relevant to decision-making in specific timeframes and circumstances. The case on coffee in Latin America identifies altitudinal thresholds at which incremental versus transformative adaptation pathways are robust options. The final case uses three crop-climate simulation studies to demonstrate how uncertainty can be characterised at different time horizons to discriminate where robust adaptation options are possible. We find that ‘impact’ approaches, which use predictive models, are increasingly useful over longer lead times and at higher levels of greenhouse gas emissions. We also find that extreme events are important in determining predictability across a broad range of timescales. The results demonstrate the potential for robust knowledge and actions in the face of uncertainty.
3 Sutherland, A.; Martin, A.; Smith, D. R.. 2001. Dimensions of participation: experiences, lessons and tips from agricultural research practitioners in Sub-Saharan Africa. Chatham, UK: University of Greenwich. Natural Resources Institute (NRI). 328p.
Agricultural research ; Farmer participation ; Participatory approaches ; Experimentation ; Training ; Information dissemination ; Farming systems ; Public sector ; Non governmental organizations ; Institutions ; Corporate culture ; Stakeholders ; Projects ; Case studies / Africa South of Sahara
(Location: IWMI HQ Call no: 630.7 G000 SUT Record No: H046727)
(0.54 MB)
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