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Diaw, M.C.Aseh, T.Prabhu, R.[In Search of Common Ground: adaptive Collaborative Management in Cameroon]In Search of Common Ground: adaptive Collaborative Management in Cameroon

South Africa, influenced by global trends towards good governance and sustainable natural resource management, has begun to adopt a participatory management approach to state-owned indigenous forests. This study, in a remote communal area and State Forest in the Eastern Cape, sought to understand...


Grundy, I.M.Campbell, Bruce M.White, R.M.Prabhu, R.Jensen, S.Ngamile, T.N.[Participatory forest management in conservation areas: the case of Cwebe, South Africa]Participatory forest management in conservation areas: the case of Cwebe, South Africa
Mandondo, A.Prabhu, R.Matose, F.[Coping amidst chaos: Studies on Adaptive Collaborative Management from Zimbabwe]Coping amidst chaos: Studies on Adaptive Collaborative Management from Zimbabwe

Criteria and indicators (C&I) for sustainable resource management were generated under a facilitated community-driven approach where villagers took active roles, not only in the generation of the indicators but also in their subsequent assessment. The general procedure followed a two-stage proces...


Mendoza, G.A.Prabhu, R.Nyirenda, R.Standa-Gunda, W.Mutimukuru, T.[A community-driven multi-criteria approach to developing indicators of sustainable resource management]A community-driven multi-criteria approach to developing indicators of sustainable resource management

A qualitative soft system model is proposed in this paper to address the inherent complecity of community-based resource management. The model follows the principles of participatory management where local stakeholders are fully engaged in different phases and stages of planning and decision maki...


Purnomo, H.Mendoza, G.A.Prabhu, R.[Model for collaborative planning of community-managed resources based on qualitative soft systems approach]Model for collaborative planning of community-managed resources based on qualitative soft systems approach
Colfer, C.J.P.Hartanto, H.Jum, C.N.McDougall, C.Prabhu, R.Yuliani, L.[Adaptive collaborative management]Adaptive collaborative management

Carrying out action research with forest dependent communities calls for special attention to their tenure arrangement, power relations, heterogeneity and the governance arrangements of the forests they use or manage. This is what over four years of CIFOR s research on adaptive collaborative mana...


Prabhu, R.Colfer, C.J.P.Diaw, C.McDougall, C.Fisher, R.[Action research with local forest users and managers: global lessons from CIFOR’s research on Adaptive Collaborative Management]Action research with local forest users and managers: global lessons from CIFOR’s research on Adaptive Collaborative Management
Vanclay, J.K.Prabhu, R.Sinclair, Fergus L.[Realizing community futures: a practical guide to harnessing natural resources]Realizing community futures: a practical guide to harnessing natural resources

Criteria and indicators (C&I) for sustainable forest management are important tools to improve the quality of forest management. In most cases they have been developed by experts, but the participation of stakeholders is essential if the C&I are to be locally relevant and practicable. We asked fo...


Pokorny, B.Prabhu, R.McDougall, C.Bauch, R.[Local stakeholders' participation in developing criteria and indicators for sustainable forest management]Local stakeholders' participation in developing criteria and indicators for sustainable forest management

Participatory approaches to development in general and natural resource management in particular are now a widely accepted management strategy. Multi-agent system (MAS), a computer-based tool, offers a promising approach for multi-stakeholder management systems such as the case involving communit...


Purnomo, H.Mendoza, G.A.Prabhu, R.Yasmi, Y.[Developing multi-stakeholder forest management scenarios: a multi-agent system simulation approach applied in Indonesia]Developing multi-stakeholder forest management scenarios: a multi-agent system simulation approach applied in Indonesia

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