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Assessing the performance of management is central to natural resource management, in terms of improving the efficiency of interventions in an adaptive-learning cycle. This is not simple, given that such systems generally have multiple scales of interaction and response; high frequency of non-lin...


Campbell, Bruce M.Sayer, Jeffrey A.Frost, P.Vermeulen, Sonja J.Ruiz Perez, M.Cunningham, A.B.Prabhu, R.[Assessing the performance of natural resource systems]Assessing the performance of natural resource systems

Extensive areas of forest in the tropics have been legally classified as protected areas: however, in many cases it has been difficult to achieve their conservation. This paper argues that the priority for forest conservation should not be maximising the area totally protected but rather to focus...


Sayer, Jeffrey A.[Forest protected areas: time is running out]Forest protected areas: time is running out

This book attempts to redefine roles of government agencies, development assistance programmes and science in achieving a more sustainable future of rural landscapes in tropical developing countries. Science faces major challenges in tackling the inter-linked problems of poverty and environmental...


Sayer, Jeffrey A.Campbell, Bruce M.[The science of sustainable development: local livelihoods and the global environment]The science of sustainable development: local livelihoods and the global environment
Campbell, Bruce M.Hagmann, J.Sayer, Jeffrey A.Stroud, AnnThomas, R.Wollenberg, Eva K.[What kind of research and development is needed for natural resource management?]What kind of research and development is needed for natural resource management?

The past three decades have seen significant investments in programs to protect forests in developing countries. As a result the number and aggregate area of National Parks and equivalent protected areas have grown considerably. But a recent report released by WWF/World Bank has concluded that on...


Sayer, Jeffrey A.[Learning and adaptation for forest conservation]Learning and adaptation for forest conservation

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