Overall objective of this study is to provide tools that help us to optimize forest management in changing environment and to design sustainable climate change adaptation and mitigation strategies for boreal forests.
This FIN-RUS research collaboration will facilitate development of advanced forest models that use innovative features and sub-models developed in collaborating team.
We will study impact of management options, tree species selection and other silvicultural decisions (including species decomposition and even/uneven-aged silviculture) on productivity and climate change mitigation potential (carbon sequestration) of boreal forests.
We will improve our models for even-aged stand development in boreal conditions and develop new models for simulating uneven-aged stands. The model outputs are: A) tree species composition, B) dendrometric parameters of each forest element, C) deadwood, D) pools of carbon and nitrogen in the stand and soil, E) Net Primary Production (NPP), F) CO2 emission from soil. The approach accounts for local spatial and temporal variation in the light, moisture, temperature conditions as well as for fertility of the site. Development of a realistic scenario for uneven-aged tree locations which may be used as a starting pattern for space-time forest simulators: this describes the regeneration process and interaction between newly established and adult trees. A new spatially-explicit and multi-layered model of belowground competition will be introduced into EFIMOD. This model can simulate adaptations of tree species to competition and environmental changes, taking into account species-specific differences in vertical stratification of root systems and species-spesific nitrogen consumption. Such analysis will facilitate development of forest management practices towards more optimal tree species combinations in the changing climate.