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Adaptive collaborative management of community forests in Asia ...

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This book is about conscious attempts by local communities <strong>in</strong> three <strong>Asia</strong>n countries<br />

to improve the <strong>management</strong> <strong>of</strong> their <strong>forests</strong>. It explores how <strong>collaborative</strong> learn<strong>in</strong>g,<br />

negotiation and plann<strong>in</strong>g, <strong>in</strong>volv<strong>in</strong>g different actors, <strong>in</strong> forest communities <strong>in</strong> Indonesia,<br />

Nepal and the Philipp<strong>in</strong>es, can contribute to better <strong>management</strong> <strong>in</strong> some quite surpris<strong>in</strong>g<br />

ways. It provides ‘plausible causal connections’ between the action research <strong>of</strong> the<br />

<strong>Adaptive</strong> Collaborative Management Research Project implemented by the Center for<br />

International Forestry Research (CIFOR) and the outcomes for the groups <strong>of</strong> people<br />

(and their <strong>forests</strong>) <strong>in</strong>volved <strong>in</strong> the research. There are broader lessons to be derived<br />

for development practitioners and researchers from these experiences with <strong>Adaptive</strong><br />

Collaborative Management as the global <strong>community</strong> grapples with manag<strong>in</strong>g complex<br />

human-ecological systems.<br />

The phrase “ACM” is frequently referred to <strong>in</strong> the literature and at workshops and<br />

conferences, but with little amplification. This book is the best descriptive account <strong>of</strong> ACM<br />

I have seen, and Chapter 2 could become a primer on what the concept really means<br />

beyond just an acronym for a current fad and one that is rarely fully understood.<br />

Don Gilmour<br />

International consultant on <strong>community</strong> forestry,<br />

formerly with IUCN’s Forest Conservation Programme<br />

In a world characterized by unpredictable shocks and stresses, forest users and managers<br />

need alternatives and backup options. Social learn<strong>in</strong>g helps generate these options,<br />

build<strong>in</strong>g resilience <strong>in</strong> l<strong>in</strong>ked systems <strong>of</strong> <strong>forests</strong> and people. This volume contributes to a<br />

deeper understand<strong>in</strong>g <strong>of</strong> the issues around deliberate social learn<strong>in</strong>g and collaboration,<br />

with chapters on four <strong>Asia</strong>n cases.<br />

Fikret Berkes<br />

University <strong>of</strong> Manitoba

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