The valuation of forest ecosystem services as a tool for management planning - A choice experiment

Forest owners and managers deal with an increasing demand for forest ecosystem services (ES). In addition, a recent change can be observed from a governmental top-down approach to bottom-up initiatives, including efforts of the local population to have a say in forest management decisions. Matching supply and demand is seen as a basic condition for the sustainable utilization of forest ES. Against this background, we address the following research questions: (i) How can the preferences on the supply and demand side of forest ES be consistently determined? (ii) In how far do these preferences vary due to regional and societal differences? (iii) How can the supply and demand of forest ES be matched by forest management alternatives? We conducted a survey in Switzerland with foresters and the wider population to compare attitudes and preferences of the supply and demand side of forest ES. The core of the study is a choice experiment (CE) to elicit the population's willingness to pay (WTP) for specific forest management alternatives, and the respective willingness to accept (WTA) on the foresters' side. To address spatial and societal heterogeneity, we compare different geographic forest zones and settlement areas.

Presenting MASSIMO: A Management Scenario Simulation Model to Project Growth, Harvests and Carbon Dynamics of Swiss Forests

Forest development models have been used to predict future harvesting potentials and forest management reference levels under the Kyoto guidelines. This contribution aims at presenting the individual-tree simulator MASSIMO and demonstrating its scope of applications with simulations of two possible forest management reference levels (base or business as usual) in an example application. MASSIMO is a suitable tool to predict timber harvesting potentials and forest management reference levels to assess future carbon budgets of Swiss forests. While the current version of MASSIMO accurately accounts for legacy effects and management scenarios, effects of climate and nitrogen deposition on growth, mortality, and regeneration are not yet included. In addition to including climate sensitivity, the software may be further improved by including effects of species mixture on tree growth and assessing ecosystem service provision based on indicators.