Evidence map›Paper›PMID 42834096›Full record

ArticleNature communications2026

Global spectrum of leaf nitrogen allocation driven by evolution and environment.

Erqian Cui, Songbo Tang, Jianyang Xia

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Erqian CuiResearch Center for Global Change and Ecological Forecasting, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.ORCID 0000-0002-2639-5069
Songbo TangResearch Center for Global Change and Ecological Forecasting, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.
Jianyang XiaResearch Center for Global Change and Ecological Forecasting, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China. jyxia@des.ecnu.edu.cn.ORCID 0000-0001-5923-6665

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32325033, 42301066
6 · The paper itself

Abstract

Terrestrial carbon uptake under climate change is significantly constrained by nitrogen (N) availability. While plants can alleviate this limitation through flexible leaf N allocation, the global patterns of such partitioning remain poorly understood. Here, by analyzing a global dataset of 520 seed plant species spanning 98 families, we find that plants averagely allocate 38.7% of leaf N to photosynthetic components (including Rubisco, bioenergetics, and light‑capture machinery) and 13.1% to cell walls. The leaf N allocation pattern exhibits a distinct evolutionary shift: early-diverging plants preferentially invest N in cell walls, while recently evolved species allocate more N to photosynthesis. This pattern is fundamentally constrained by evolutionary history and further shaped by recent environmental factors, ultimately leading to a trade-off in leaf N partitioning between photosynthetic components and cell walls. Such a trade-off refines the leaf economics spectrum, demonstrating that conservative-strategy species favor structural investment (cell walls), whereas acquisitive-strategy species prioritize metabolic gain (photosynthesis). These findings suggest that incorporating lineage-specific N allocation strategies can improve projections of global vegetation responses to nutrient limitation and climate change.

Indexed as

Biological EvolutionNitrogenPlant LeavesPlantsCarbonCell WallClimate ChangeEnvironmentPhotosynthesisPhylogenyRibulose-Bisphosphate CarboxylaseCarbonNitrogenRibulose-Bisphosphate Carboxylase

Identifiers

PMID42834096
PMCPMC13638996

What OpenQuestion holds

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Registered trials

None linked

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.