What drives participation in community-based forest management? Insights from a global review.

This pattern suggests that the more often a predictor is tested, the less likely it is to show highly significant rates, supporting the idea that repeated testing across diverse contexts tends to normalize results and reduce bias.

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Biophysical predictors are more likely to be significantly associated with stated participation than the revealed participation, even though the number of cases appears to be comparable.

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