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来源类型Article
规范类型其他
DOI10.1093/treephys/tpr138
Modeling carbon allocation in trees: A search for principles.
Franklin O; Johansson J; Dewar RC; Dieckmann U; McMurtrie RE; Brannstrom Å; Dybzinski R
发表日期2012
出处Tree Physiology 32 (6): 648-666
出版年2012
语种英语
摘要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, either in a fixed environment, which we call optimal response (OR) models, or including the feedback of an individual's strategy on its environment (game-theoretical optimization, GTO). Optimal response models can predict allocation in single trees and stands when there is significant competition only for one resource. Game-theoretical optimization can be used to account for additional dimensions of competition, e.g., when strong root competition boosts root allocation at the expense of wood production. However, we demonstrate that an OR model predicts similar allocation or a GTO model under the root-competitive conditions reported in free-air carbon dioxide enrichment (FACE) experiments. The most evolutionarily realistic approach is adaptive dynamics (AD) were the allocation strategy arises from eco-evolutionary dynamics of populations instead of a fitness proxy. We also discuss emerging entropy-based approaches that offer an alternative thermodynamic perspective on allocation, in which fitness proxies are replaced by entropy or entropy production. To help develop allocation models further, the value of wide-ranging datasets, such as FLUXNET, could be greatly enhanced by ancillary measurements of driving variables, such as water and soil nitrogen availability.
主题Evolution and Ecology (EEP) ; Ecosystems Services and Management (ESM)
关键词Acclimation Evolutionarily stable strategy Functional balance Game theory Partitioning Plasticity Soil depth Theory Tree growth
URLhttp://pure.iiasa.ac.at/id/eprint/9923/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/129522
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GB/T 7714
Franklin O,Johansson J,Dewar RC,et al. Modeling carbon allocation in trees: A search for principles.. 2012.
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