Economic impacts of climate change on forests: a PICUS-LANDIS-CGE modeling approach

Abstract

Climate change is expected to alter both forest stand- and landscape-level dynamics through a change in environmental characterises. While numerous studies have employed models to assess the ecological and/or economic impacts of such changes on forests throughout the world, there is need to further refine such analyses. In this paper, we contribute to this literature by coupling an ecological (PICUS-LANDIS II) modeling framework with an economic (CGE) model to better account for the economic impact associated with climate-induced impacts on forest stand and landscape-level structure and composition dynamics. Applying this framework to a case-study region of New Brunswick, Canada, we estimate that climate change will reduce softwood supply by 16-73% and impact hardwood supply in the range of -2% to +4% by 2150. The change in wood supply is estimated to reduce the value of the softwood and hardwood forestry and logging sector output by up to 51% and 17%, respectively, by 2150. These sector-level impacts may lead to a 0.08-0.88% reduction in annual GDP by 2150. The methodological advances established in this study can be used to better inform future forest management and economic plans that aim to lessen both the ecological and economic impact of climate change.