ReviewOecologia2025
Leaf economics of deciduous and evergreen plants: how do they exhibit trait optimization under resource variations and environmental constraints.
Review in Oecologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Elasticity Range Addresses Global Patterns of Plant Drought Resistance.Plant, cell & environment · 2026Article
- Leaf Trait Differentiations Depend on Plant Size in a Modular Assembled Community of Evergreen and Deciduous Trees From a Degraded Karst Forest Ecosystem.Ecology and evolution · 2026Article
- Densely packed needles along the shoots of evergreen conifers exhibit shade-acclimated photosynthetic characteristics even under full sunlight.Annals of botany · 2026Article
- Evolutionary and environmental drivers of dry-season deciduousness in a legume genus.The New phytologist · 2026Article
- The coordination between root and leaf functional traits across 33 woody plant species shifts between mycorrhizal types.Tree physiology · 2026Article
- Evaluating fungal pathogen resistance across the leaf economics spectrum using the generalist fungus Sclerotinia sclerotiorum.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Leaf habit, whether a plant is deciduous or evergreen, is one of the most conspicuous traits in plant species, ecosystems, and biomes. In this review, we discuss theories and empirical patterns of deciduous and evergreen habits with a focus on the optimal strategies. Historically, optimal leaf habits and leaf lifespans (LL) have been explained from the viewpoints of carbon economy and nutrient use. In the leaf economics spectrum, deciduous and evergreen species are positioned at the resource-acquisitive and resource-conservative sides of the spectrum, respectively. Seasonal variations in leaf traits of deciduous species could be understood simply as optimization of carbon economy in relation to the progress of the growth season. Evergreen species, however, exhibit more complex patterns, which could be understood as acclimation to seasonal environmental changes or resource allocation to leaf replacement and reproduction. Optimal timing of leaf shedding in evergreen species varies depending on the limiting factor for leaf retention. The return on investment (RI) through the lifetime of a leaf should be greater in evergreen species when there is no environmental suppression. However, RI of evergreen species is often suppressed by seasonal environment or species interaction. Deciduous species can have comparable RIs with evergreen species when they can occupy better environment such as gaps in forests. In conclusion, which leaf habit is advantageous can be understood from trait optimization perspectives. Such knowledge should help forecast how forest ecosystems will respond to changing climate and other anthropogenic environmental impacts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.