常绿
每年落叶的
选择(遗传算法)
特质
一般化
自然选择
计量经济学
生态学
生物
数学
环境科学
计算机科学
人工智能
数学分析
程序设计语言
作者
Han Wang,Iain Colin Prentice,Ian J. Wright,David I. Warton,Shengchao Qiao,Xiangtao Xu,Jian Zhou,Kihachiro Kikuzawa,Nils Chr. Stenseth
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2023-01-20
卷期号:9 (3)
被引量:18
标识
DOI:10.1126/sciadv.add5667
摘要
The life span of leaves increases with their mass per unit area (LMA). It is unclear why. Here, we show that this empirical generalization (the foundation of the worldwide leaf economics spectrum) is a consequence of natural selection, maximizing average net carbon gain over the leaf life cycle. Analyzing two large leaf trait datasets, we show that evergreen and deciduous species with diverse construction costs (assumed proportional to LMA) are selected by light, temperature, and growing-season length in different, but predictable, ways. We quantitatively explain the observed divergent latitudinal trends in evergreen and deciduous LMA and show how local distributions of LMA arise by selection under different environmental conditions acting on the species pool. These results illustrate how optimality principles can underpin a new theory for plant geography and terrestrial carbon dynamics.
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