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Adaptive collaborative management of community forests in Asia ...

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Chapter 2: <strong>Adaptive</strong> Collaborative Management: A Conceptual Model • 41<br />

Before we explore each <strong>of</strong> these three conditions, observe that <strong>in</strong> the<br />

centre <strong>of</strong> the model is the emergence <strong>of</strong> new or revised norms, rules and<br />

<strong>in</strong>stitutions (<strong>in</strong> the sense <strong>of</strong> Giddens 1984) as manifestations <strong>of</strong> changes to<br />

social assets. Norms, rules and <strong>in</strong>stitutions are critical components <strong>of</strong> the<br />

framework, conta<strong>in</strong><strong>in</strong>g the bulk <strong>of</strong> the wisdom and to a lesser extent the<br />

knowledge that is generated at each phase. They form the axle on which<br />

the framework rotates, for as Sen (1999: 142) notes, ‘Individuals live and<br />

operate <strong>in</strong> a world <strong>of</strong> <strong>in</strong>stitutions. Our opportunities and prospects depend<br />

crucially on what <strong>in</strong>stitutions exist and how they operate’. Agree<strong>in</strong>g with<br />

Giddens (1984), we see these <strong>in</strong>stitutions as shap<strong>in</strong>g and be<strong>in</strong>g shaped by<br />

the groups concerned <strong>in</strong> each <strong>of</strong> the phases.<br />

Complexity. Does all decision mak<strong>in</strong>g require an adaptive <strong>collaborative</strong><br />

<strong>management</strong> approach? If a problem can be characterised accurately as<br />

noncomplex—for example, if l<strong>in</strong>kages with<strong>in</strong> the system are l<strong>in</strong>ear and<br />

respond without delay to external <strong>in</strong>fluences—then a command-andcontrol<br />

or mechanistic style <strong>of</strong> <strong>management</strong> is likely sufficient to yield<br />

expected <strong>management</strong> results. However, as Scott (1998) has po<strong>in</strong>ted out,<br />

there is a great temptation for people (and we <strong>in</strong>clude resource managers<br />

and policy makers here) to treat complex systems as noncomplex and impose<br />

simple models and l<strong>in</strong>ear solutions—much like the proverbial man with a<br />

hammer, to whom everyth<strong>in</strong>g starts to look like a nail. If the man with a<br />

hammer is at the apex <strong>of</strong> an organisation that fits the mach<strong>in</strong>e metaphor,<br />

as described above, the consequences may be dire. The complex nature <strong>of</strong><br />

a system must be recognised and addressed with an appropriately dynamic<br />

model if positive outcomes are to be achieved <strong>in</strong> the long term.<br />

Forest systems—and the human-forest <strong>in</strong>terface—are unquestionably<br />

complex. Forest ecosystems are highly diverse ecologically, and <strong>in</strong>teractions<br />

between species, as well as the ontology <strong>of</strong> many <strong>in</strong>dividual species, is<br />

poorly understood. Forest contexts are also complex socially—<strong>in</strong> ethnicity,<br />

gender, age, economic difference, worldview and <strong>in</strong>terests <strong>in</strong> <strong>forests</strong> and<br />

forest products. Forest systems <strong>in</strong> most develop<strong>in</strong>g countries operate<br />

under overlapp<strong>in</strong>g and sometimes conflict<strong>in</strong>g traditional systems, residual<br />

colonial <strong>in</strong>fluences and modernis<strong>in</strong>g postcolonial structures. In some cases,<br />

there are also powerful outside <strong>in</strong>ternational <strong>in</strong>terests, ma<strong>in</strong>ly but not<br />

exclusively economic or conservationist. And the <strong>in</strong>teractions between<br />

the social and natural systems are numerous and diverse, with demands<br />

for a multitude <strong>of</strong> forest products and services. Thus complexity—and<br />

dynamism—is the normal condition for <strong>forests</strong>. The need for an adaptive<br />

and <strong>collaborative</strong> <strong>management</strong> approach is therefore apparent. Complexity,

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