Ignacio Sevillano
Research Scientist
Biography
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Role: my role focuses on forecasting forest development and associated ecosystem services (carbon storage, timber production, etc.) under different management options and policy scenarios.
- Area of expertise: tree species performance in response to environmental factors and different management practices; silviculture; forest management based on data science; tree physiology & growth.
- Research interests: forest ecosystem services; climate mitigation; sustainable forest management.
Abstract
Integrated decision support systems are fundamental for addressing complex issues related to forest ecosystems and the land use sector, such as climate, biodiversity or disturbances, and their impact on industry and society. Therefore, it is important to develop and use tools that can better incorporate potential challenges to forest ecosystems, socio-economic trends and political choices, and show their consequences for multiple natural resources. SiTree is a flexible, cross-platform and open-source individual-tree simulator framework written in R. Simulations produced using SiTree are currently and actively being used to inform policy decisions and in research, from carbon uptake under different management options to the provision of different forest ecosystem services, such as timber production and biodiversity. An overview of the current state with practical examples where SiTree simulation tool is being used will be presented. Future possibilities and capabilities for the development of SiTree will be discussed, with a focus, among others, on better linking land use to social trends and policy-making, predicting large-scale disturbances in forests and estimating the provision of forest ecosystem services.
Authors
Aksel Granhus Ulrika Jansson Kjersti Holt Hanssen Jørund Rolstad Ignacio Sevillano Ken Olaf StoraunetAbstract
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Abstract
No abstract has been registered
Division of Forest and Forest Resources
EU Climate Policy Implications for Land Use in Norway: Managing Trade-offs and Achieving Policy Coherence (ClimaLand)
The ClimaLand project will investigate trade-offs between policy goals, governance levels, and sector interests, and seek to identify how to design more coherent climate and land-use policies. An important objective is to investigate how conflicting policy goals can be handled and various considerations and land-use interests balanced.
Division of Forest and Forest Resources
A Decision Support System for emerging forest management alternatives
This project aims to develop advanced tree growth models using LiDAR-derived, high-density point cloud data to improve the simulation of forest dynamics under close-to-nature silvicultural practices. By modeling tree-level growth in structurally complex and heterogeneous stands, these models will support more accurate, spatially explicit forest simulations and inform sustainable and diversified forest management decisions.