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Adaptive collaborative management of community forests in Asia ...

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Chapter 4: Improv<strong>in</strong>g Forest Quality and Livelihoods <strong>in</strong> Indonesia • 121<br />

‘objectivist’ learn<strong>in</strong>g strategy, aimed at the transfer <strong>of</strong> knowledge developed<br />

elsewhere, and hence were not conducive to local learn<strong>in</strong>g (e.g., van der<br />

Veen 2000). Even promises <strong>of</strong> future material ga<strong>in</strong>s 11 did not encourage<br />

actors to learn new ways <strong>of</strong> valu<strong>in</strong>g and act<strong>in</strong>g.<br />

The core feature <strong>of</strong> an ACM <strong>in</strong>tervention is its deliberate learn<strong>in</strong>g. In<br />

our experience, the extent to which ACM was able to facilitate learn<strong>in</strong>g<br />

depended on two conditions:<br />

• local actors’ motivation to learn to cope with and adapt to social<br />

and natural dynamics; and<br />

• the degree <strong>of</strong> complexity <strong>of</strong> the phenomena that actors must learn<br />

about.<br />

Several aspects <strong>of</strong> ACM motivated learn<strong>in</strong>g among local stakeholders: the<br />

substance <strong>of</strong> the learn<strong>in</strong>g, the structure <strong>of</strong> learn<strong>in</strong>g, and the promotion <strong>of</strong> a<br />

particular mode <strong>of</strong> learn<strong>in</strong>g. S<strong>in</strong>ce <strong>in</strong> ACM the learn<strong>in</strong>g substance was the<br />

local needs identified by the stakeholders themselves, it encouraged learn<strong>in</strong>g<br />

and behavioural changes. Further, ACM motivated actors’ learn<strong>in</strong>g by the<br />

way the learn<strong>in</strong>g was structured, phased and iterated: complex phenomena<br />

were broken down <strong>in</strong>to simpler pieces, allow<strong>in</strong>g actors to work through<br />

the paradoxes and contradictory values while gradually giv<strong>in</strong>g mean<strong>in</strong>g<br />

to them. Lastly, actors were motivated to learn by the mode <strong>of</strong> learn<strong>in</strong>g:<br />

through communication. In complex and dynamic sett<strong>in</strong>gs, learn<strong>in</strong>g<br />

consists <strong>of</strong> communication amongst <strong>in</strong>dividuals with different perspectives<br />

who construct a collective understand<strong>in</strong>g about phenomena (van der Veen<br />

2000). In ACM, facilitated group processes were essential <strong>in</strong> stimulat<strong>in</strong>g<br />

communication for jo<strong>in</strong>t learn<strong>in</strong>g and construction <strong>of</strong> collective <strong>in</strong>sights.<br />

The relationship between complexity and learn<strong>in</strong>g, however, is not very<br />

clear (van der Veen 2000). Although some learn<strong>in</strong>g theorists suggest<br />

that learn<strong>in</strong>g can only happen if complex phenomena are reduced to<br />

simpler parts by structur<strong>in</strong>g the content <strong>of</strong> learn<strong>in</strong>g 12 , others believe<br />

that the more complex a situation, the better the chance that people<br />

can generate <strong>in</strong>sights 13 . It is therefore <strong>of</strong>ten suggested that facilitators <strong>of</strong><br />

learn<strong>in</strong>g should design learn<strong>in</strong>g such that the content is complex enough<br />

to create ‘rich pictures’ to learners. In our case, the <strong>in</strong>itial response <strong>of</strong><br />

stakeholders <strong>in</strong>dicated that they perceived their situation as too complex<br />

to beg<strong>in</strong> learn<strong>in</strong>g on their own. Apparently, the complex environment did<br />

not function as a learn<strong>in</strong>g trigger. Social and ecological dynamics were<br />

overwhelm<strong>in</strong>g, and people found it extremely difficult to f<strong>in</strong>d alternatives<br />

to current practices. Learned helplessness occurred because people were

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