School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
Tree Physiol. 2011 Sep;31(9):1007-23. doi: 10.1093/treephys/tpr037. Epub 2011 Jun 6.
Measured values of four key leaf traits (leaf area per unit mass, nitrogen concentration, photosynthetic capacity, leaf lifespan) co-vary consistently within and among diverse biomes, suggesting convergent evolution across species. The same leaf traits co-vary consistently with the environmental conditions (light intensity, carbon-dioxide concentration, nitrogen supply) prevailing during leaf development. No existing theory satisfactorily explains all of these trends. Here, using a simple model of the carbon-nitrogen economy of trees, we show that global leaf-trait relationships and leaf responses to environmental conditions can be explained by the optimization hypothesis (MAXX) that plants maximize the total amount of carbon exported from their canopies over the lifespan of leaves. Incorporating MAXX into larger-scale vegetation models may improve their consistency with global leaf-trait relationships, and enhance their ability to predict how global terrestrial productivity and carbon sequestration respond to environmental change.
在不同的生物群落中,四个关键叶片特征(单位质量的叶片面积、氮浓度、光合能力、叶片寿命)的测量值始终一致地协同变化,表明物种之间存在趋同进化。相同的叶片特征与叶片发育过程中存在的环境条件(光强、二氧化碳浓度、氮供应)始终一致地协同变化。没有现有的理论能令人满意地解释所有这些趋势。在这里,我们使用树木的碳氮经济的简单模型,表明可以通过植物最大化其冠层中从叶片寿命期间输出的碳总量的优化假说(MAXX)来解释全球叶片特征关系和叶片对环境条件的响应。将 MAXX 纳入更大规模的植被模型中可能会提高它们与全球叶片特征关系的一致性,并增强它们预测全球陆地生产力和碳固存对环境变化的响应能力。