Comparing Biodiversity Predictions by People and Computer Models for Woodland Management
Combining local, contextualised knowledge with generalised, scientific knowledge is seen as best practice in decision making for biodiversity management. However, there is the potential for conflict if these two knowledges do not concur. We compared people’s predictions for biodiversity change under different woodland management scenarios with those from a simple ecological model. We found general agreement, but stakeholders were more optimistic about the benefits of some scenarios compared to the models.