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Scaling up the benefits of agroforestry research: lessons learned and research challenges

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Research and development institutions are becoming increasingly committed to scaling up the adoption and impact of technical institutional and policy innovations that improv e household livelihoods. Scaling up is a complex subject; Uvin and Miller ( 1999 ) developed a taxonomy and arrived at 17 different kinds of scaling up focusing on structure ( when a programme expands its siz e ) strategy ( degree of political involvemen t ) and resource bas e ( organisational strengt h ) . The International Institute of Rural Reconstruction ( IIRR 2000 ) gives a useful and succinct functional definition of scaling up: efforts to ‘bring more qualit y benefits to more people over a wider geographical area more quickl y more equitabl y an d more lastingly ’. Different users of the term consider different issues. Proponents of th e technology-transfer paradigm often imply that the main issue in scaling up is to replicat e the use of improved practice s — for example more farmers using mineral fertilise r — an d they focus on such issues as delivery of inputs and demonstration of benefits ( Qui ̃ nones and Gebre 1996 ) . Others such as Krishna et al. ( 1998 ) consider scaling up in much broade r terms that is as a process of adaptation innovation feedback and expanded huma n capabilit y. In line with the latter approach Cooper and Denning ( 2000 ) identified te n essential and generic elements of a successful scaling-up strateg y as noted in Dennin g ( 2001 ) . Our paper summarises the main lessons learned from the case studies that appea r in this issue and presents them by element .

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