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Prabhu, R. ,  Matose, F. ,  [Adversity and the adaptive possibility of local communities: Setting the scene] ,  Adversity and the adaptive possibility of local communities: Setting the scene

Mutimukuru, T. ,  Prabhu, R. ,  Matose, F. ,  Nyirenda, R. ,  Kozanayi, W. ,  [Facilitating adaptive collaborative management in forested landscapes: the Mafungautsi case study] ,  Facilitating adaptive collaborative management in forested landscapes: the Mafungautsi case study

McDougall, C. ,  Prabhu, R. ,  Kusumanto, Y. ,  [Participatory action research on adaptive collaborative management of community forests: a multi-country model] ,  Participatory action research on adaptive collaborative management of community forests: a multi-country model

Colfer, C.J.P. ,  Hartanto, H. ,  Jum, C.N. ,  McDougall, C. ,  Prabhu, R. ,  Yuliani, L. ,  [Adaptive collaborative management] ,  Adaptive collaborative management

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

Purnomo, H. ,  Yasmi, Y. ,  Prabhu, R. ,  Yuliani, L. ,  Priyadi, H. ,  Vanclay, J.K. ,  [Multi-agent simulation of alternative scenarios of collaborative forest management] ,  Multi-agent simulation of alternative scenarios of collaborative forest management

Hartanto, H. ,  Lorenzo, M.C.B. ,  Valmores, C. ,  Arda-Minas, L. ,  Burton, L. ,  Prabhu, R. ,  [Learning together: responding to change and complexity to improve community forests in the Philippines] ,  Learning together: responding to change and complexity to improve community forests in the Philippines

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