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树木竞争光和氮时,叶片、木材和细根的进化稳定策略碳分配:可分析处理的、基于个体的模型和对数据的定量比较。

Evolutionarily stable strategy carbon allocation to foliage, wood, and fine roots in trees competing for light and nitrogen: an analytically tractable, individual-based model and quantitative comparisons to data.

机构信息

Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey 08544, USA.

出版信息

Am Nat. 2011 Feb;177(2):153-66. doi: 10.1086/657992.

Abstract

We present a model that scales from the physiological and structural traits of individual trees competing for light and nitrogen across a gradient of soil nitrogen to their community-level consequences. The model predicts the most competitive (i.e., the evolutionarily stable strategy [ESS]) allocations to foliage, wood, and fine roots for canopy and understory stages of trees growing in old-growth forests. The ESS allocations, revealed as analytical functions of commonly measured physiological parameters, depend not on simple root-shoot relations but rather on diminishing returns of carbon investment that ensure any alternate strategy will underperform an ESS in monoculture because of the competitive environment that the ESS creates. As such, ESS allocations do not maximize nitrogen-limited growth rates in monoculture, highlighting the underappreciated idea that the most competitive strategy is not necessarily the "best," but rather that which creates conditions in which all others are "worse." Data from 152 stands support the model's surprising prediction that the dominant structural trade-off is between fine roots and wood, not foliage, suggesting the "root-shoot" trade-off is more precisely a "root-stem" trade-off for long-lived trees. Assuming other resources are abundant, the model predicts that forests are limited by both nitrogen and light, or nearly so.

摘要

我们提出了一个模型,该模型可以根据个体树木在土壤氮梯度上竞争光和氮的生理和结构特征进行扩展,从而预测它们在群落水平上的后果。该模型预测了在成熟林的林冠和林下阶段,树木最具竞争力(即进化稳定策略[ESS])的叶片、木材和细根分配。ESS 分配作为常见生理参数的分析函数揭示出来,而不是简单地依赖于根-枝关系,而是依赖于碳投资的递减回报,这确保了由于 ESS 创造的竞争环境,任何替代策略在纯培养中表现都不如 ESS。因此,ESS 分配不会使单培养中的氮限制生长率最大化,这突出了一个未被充分认识的观点,即最具竞争力的策略不一定是“最佳”的,而是创造了使所有其他策略都“更差”的条件。来自 152 个林分的数据支持了该模型的惊人预测,即主导的结构权衡是细根和木材之间,而不是叶片之间,这表明“根-枝”权衡更准确地说是对长寿树木的“根-干”权衡。假设其他资源丰富,该模型预测森林受到氮和光的限制,或者几乎如此。

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