Spanish forest dynamics: Constraining models with data
- Emily Lines | University of Cambridge
Forest ecosystems store more carbon than the atmosphere and contain 2/3 of the world’s biodiversity but their response to changing climate is uncertain. Landscape-level predictions of forest-climate dependency can be made by scaling from key tree-level processes. New large-scale national inventories combined with improvements in computational methods mean that models that incorporate the climate dependency of demographic processes can be parameterised at regional scales. I present a set of results from my PhD work examining how individual tree processes vary in Spain.
Speaker Details
I am currently a 4th year PhD student in David Coomes’ group in the University of Cambridge, funded by Microsoft Research. I studied Maths at undergraduate and my interests are in simulation modelling and mathematical and computational methods in ecology and environmental sciences.
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Jeff Running
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