Franklin, Oskar; Johansson, Jacob; Dewar, Roderick; Dieckmann, Ulf; McMurtrie, Ross; Brannstrom, Ake; Dybzinski, Ray
We review approaches to predicting carbon and nitrogen allocation in forest models in terms of their underlying assumptions and their resulting strengths and limitations. Empirical and allometric methods are easily developed and computationally efficient, but lack the power of evolution-based approaches to explain and predict multifaceted effects of environmental variability and climate change. In evolution-based methods, allocation is usually determined by maximization of a fitness proxy,...[Show more]
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