Aguilar Cabezas, Francisco X
- Department of Forest Economics, Swedish University of Agricultural Sciences
Research article2024Peer reviewedOpen access
Lopez, Lukas N.; Sjolie, Hanne K.; Nabhani, Abbas; Aguilar, Francisco X.
Measures to enhance boreal forests' biodiversity and climate change mitigation potential are high on the policy agenda. Site productivity influences management, ecological attributes, and economic outcomes. However, national-level analyses of management implementation in response to policies considering site productivity are lacking. We analyzed impacts of a carbon policy (Carb), a biodiversity policy (Bio) and a combined biodiversity and carbon policy (BioCarb) in Norway using a simulation-optimization framework, assessing impacts on forest management, timber harvest, ecological attributes, and carbon fluxes until year 2140. Management alternatives were simulated in the single-tree simulator TreeSim before being fed into a market model NorFor to compare policy outcomes to a business-as-usual (BAU) scenario. All policies led to decreased harvests. Old forests expanded from the current 3% to cover 21% or more of the productive forest area in all scenarios. Impacts of policies depended on site productivity. On low-productive land, management under Bio mirrored BAU, while the Carb and BioCarb policies yielded more set-asides. On high-productive land, management intensity under the Carb policy was similar to BAU but the Bio and BioCarb policies resulted in more set-asides and more old forest. Thus, on low-productive land, the carbon policy showed to have the strongest impact on forest management, while on high-productive land, the biodiversity policy had the strongest impact. With geographical site-productivity gradients, the two policies exhibited different regional effects. The study shows that ex-ante analyses with appropriate tools can provide relevant information of multiple consequences beyond the stated aims which should be considered in policy design.
bio-economic modeling; NorFor; optimization; regional impacts; simulation; site productivity; TreeSim
Silva Fennica
2024, volume: 58, number: 4, article number: 23067
Publisher: FINNISH SOC FOREST SCIENCE-NATURAL RESOURCES INST FINLAND
Forest Science
https://res.slu.se/id/publ/139307