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Spanish forest dynamics: Constraining models with data

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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 examining how tree allometry, mortality, growth and recruitment vary in Spain. In particular I discuss recent results using novel Approximate Bayesian Computation (ABC) methods to infer hidden processes from aggregated/summarised data

This talk is part of the Plant Sciences Research Seminars series.

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