How long will a leaf live? It’s an economic decision made by every tree.
Monkey puzzle tree leaves can live for over two decades. And Picea growing in the Gongga Mountains in China can thrive for thousands of years, growing slowly in severe environments with leaves that last twenty years on average.
On the other hand, maple leaves last a season, while blueberry leaves may last just three months.
So, what determines the lifespan of a tree leaf?
The answer to that superficially simple question is reported today in a paper in by an international team of researchers from China, the UK, Japan, Norway, USA, and Australia.
“It’s all about the economic choices faced by plants,” says first author, Dr Han Wang from Tsinghua University in Beijing.
“We already knew that conifers and other evergreen trees make longer-living leaves the closer they are to the poles,” she says. “Deciduous trees do the opposite. Their longest lasting leaves are found at the tropics.”
“And we knew that long-lived leaves tend to be tougher and thicker, and more expensive to build.”
“Now, we have identified the major environmental factors at play, and summarised them in two equations,” she says. “These leaf economic traits are fundamental to the carbon cycle and nutrient economy.”
The team tested their equations using data from thousands of species from hundreds of ecosystems, drawn from the China Plant Trait Database and the Global Plant Trait Network.
“Each species is essentially taking a punt on the best way to maximise carbon absorption,” says co-author Professor Ian Wright from Macquarie University and Western Sydney University.
“Evergreen conifers growing in poor soil in areas with a long cold winter can only thrive if they make long term investments in their leaves. Whereas deciduous trees, like the maple, race to create new leaves and capture carbon in the summer sun before leaf-drop in autumn,” he says. “The economically rational decision for a maple tree is to invest in fast growing, cheap but flimsy leaves.”
Plants have been subject to profound changes in climate during their evolution. Glaciation and other large, and sometimes rapid, changes in recent geological times have resulted in major changes in vegetation. The human impact on climate and direct impact on vegetation are adding to the forces shaping plant communities, in ways that remain only partly understood.
The researchers propose that this research will not only explain what grows where today, but it will also move ecology into a predictive science that will:
- enable better, more accurate global and regional climate models
- allow land managers to better model forests and other vegetation, and predict how climate change will affect ecosystems
- allow better estimation on crop yield and the impact of climate change on agriculture.
The global team also includes researchers from Imperial College London, UNSW Sydney, Cornell University, Ishikawa Prefectural University, and the University of Oslo. Full list below.
The paper builds on twenty years of research led by Professor Mark Westoby and Professor Ian Wright at Macquarie University.
Their 2004 paper in Nature, ‘The World-wide leaf economics spectrum’ has been cited over 7,500 times and has been followed by papers on leaf photosynthetic capacity, leaf respiration costs, leaf nitrogen concentration, leaf size, and now, leaf lifespan.
Abstract and author list
Leaf economics fundamentals explained by optimality principles
Wang et al., Sci. Adv. 9, eadd5667 (2023) 18 January 2023,
Han Wang 1*, I. Colin Prentice 1,2,3, Ian J. Wright 3,4, David I. Warton 5, Shengchao Qiao 1, Xiangtao Xu 6, Jian Zhou 1, Kihachiro Kikuzawa 7, Nils Chr. Stenseth 1,8
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. Analysing 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.
1 Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China.
2 Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK.
3 School of Natural Sciences, Macquarie University, North Ryde, NSW 2109, Australia.
4 Hawkesbury Institute for the Environment, Western Sydney University, Penrith 2751, Australia.
5 School of Mathematics and Statistics and Evolution and Ecology Research Center, UNSW Sydney, Sidney, NSW 2052, Australia.
6 Ecology and Evolutionary Biology, Cornell University, E139 Corson Hall, Ithaca, NY 14850, USA.
7 Laboratory of Plant Ecology, Ishikawa Prefectural University, Nonoichi, Ishikawa 921-8836, Japan.
8 Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066 Blindern, Oslo NO-0316, Norway.
*Corresponding author.
