G2TT
来源类型Article
规范类型其他
DOI10.1086/697429
Branch Thinning and the Large-Scale, Self-Similar Structure of Trees.
Hellström L; Carlsson L; Falster DS; Westoby M; Brännström Å
发表日期2018
出处The American Naturalist : E000-E000
出版年2018
语种英语
摘要Branch formation in trees has an inherent tendency toward exponential growth, but exponential growth in the number of branches cannot continue indefinitely. It has been suggested that trees balance this tendency toward expansion by also losing branches grown in previous growth cycles. Here, we present a model for branch formation and branch loss during ontogeny that builds on the phenomenological assumption of a branch carrying capacity. The model allows us to derive approximate analytical expressions for the number of tips on a branch, the distribution of growth modules within a branch, and the rate and size distribution of tree wood litter produced. Although limited availability of data makes empirical corroboration challenging, we show that our model can fit field observations of red maple (Acer rubrum) and note that the age distribution of discarded branches predicted by our model is qualitatively similar to an empirically observed distribution of dead and abscised branches of balsam poplar (Populus balsamifera). By showing how a simple phenomenological assumption—that the number of branches a tree can maintain is limited—leads directly to predictions on branching structure and the rate and size distribution of branch loss, these results potentially enable more explicit modeling of woody tissues in ecosystems worldwide, with implications for the buildup of flammable fuel, nutrient cycling, and understanding of plant growth.
主题Evolution and Ecology (EEP)
关键词branching structure self-similarity tree architecture wood litter
URLhttp://pure.iiasa.ac.at/id/eprint/15234/
来源智库International Institute for Applied Systems Analysis (Austria)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/131286
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Hellström L,Carlsson L,Falster DS,et al. Branch Thinning and the Large-Scale, Self-Similar Structure of Trees.. 2018.
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