0000000000329767
AUTHOR
Ljusk Ola Eriksson
Incorporating stand level risk management options into forest decision support systems
Aim of study: To examine methods of incorporating risk and uncertainty to stand level forest decisions. Area of study: A case study examines a small forest holding from Jonkoping, Sweden. Material and methods: We incorporate empirically estimated uncertainty into the simulation through a Monte Carlo approach when simulating the forest stands for the next 100 years. For the iterations of the Monte Carlo approach, errors were incorporated into the input data which was simulated according to the Heureka decision support system. Both the Value at Risk and the Conditional Value at Risk of the net present value are evaluated for each simulated stand. Main results: Visual representation of the er…
Accounting for global drivers in landscape-level assessments of biodiversity and ecosystem services
Wood production is a pivotal provisioning ecosystem service of major economic importance, yet its intensive utilization is a key reason for species declines in the EU and globally. A transition from a fossil- to a bio-based economy requires increased mobilization of raw materials from forests. It is therefore essential to find ways to fulfil the increasing wood demand while conserving biodiversity. Wood and various other ecosystem services, as well as biodiversity are produced locally in forest landscapes. However, the demand for wood products is increasingly determined by a global market, i.e. outside the landscape in question. It is at the local level where the trade-off between increased…