Department of Ecology and Evolutionary Biology, University of Arizona, P.O. Box 210088, Tucson, AZ 85721, USA.
Ecol Lett. 2011 Feb;14(2):91-100. doi: 10.1111/j.1461-0248.2010.01554.x. Epub 2010 Nov 15.
The leaf economics spectrum describes biome-invariant scaling functions for leaf functional traits that relate to global primary productivity and nutrient cycling. Here, we develop a comprehensive framework for the origin of this leaf economics spectrum based on venation-mediated economic strategies. We define a standardized set of traits - density, distance and loopiness - that provides a common language for the study of venation. We develop a novel quantitative model that uses these venation traits to model leaf-level physiology, and show that selection to optimize the venation network predicts the mean global trait-trait scaling relationships across 2548 species. Furthermore, using empirical venation data for 25 plant species, we test our model by predicting four key leaf functional traits related to leaf economics: net carbon assimilation rate, life span, leaf mass per area ratio and nitrogen content. Together, these results indicate that selection on venation geometry is a fundamental basis for understanding the diversity of leaf form and function, and the carbon balance of leaves. The model and associated predictions have broad implications for integrating venation network geometry with pattern and process in ecophysiology, ecology and palaeobotany.
叶片经济谱描述了与全球初级生产力和养分循环相关的叶片功能特征的生物群不变标度函数。在这里,我们基于脉序介导的经济策略,为这一叶片经济谱的起源发展出一个综合的理论框架。我们定义了一套标准化的特征——密度、距离和环度——为脉序研究提供了一个通用的语言。我们开发了一个新颖的定量模型,该模型使用这些脉序特征来模拟叶片水平的生理学,并表明选择优化脉序网络可以预测跨越 2548 个物种的全球平均特征-特征标度关系。此外,我们使用 25 种植物物种的实证脉序数据,通过预测四个与叶片经济相关的关键叶片功能特征来检验我们的模型:净碳同化率、寿命、叶面积比和氮含量。总之,这些结果表明,对脉序几何形状的选择是理解叶片形态和功能以及叶片碳平衡多样性的基础。该模型及其相关预测对将脉序网络几何形状与生理生态学、生态学和古植物学中的模式和过程进行整合具有广泛的意义。