Public goods and services supplied by nature require active government intervention to ensure their provision. Nevertheless, prior to the implementation of any policy, planners should compare the costs and benefits caused by their decisions, a difficult task when policies and regulations are developed at a regional or national level (i.e. fire and pest control policies included in forests national plans), and their impacts spread out across a large number of people and ecosystems. In this context, although environmental economics has provided the necessary information for decision-making guidance related to site-specific interventions, little attention has been given to the information requirements of policies affecting large geographical areas, that is, to the estimation of an aggregate value for a specific region. The purpose of this paper is to improve current applications, inferring the recreational value of forests through the implementation of a discrete-count linked model including all the forest areas in the region of Mallorca (Spain).