Evidence map›Paper›PMID 41484820›Full record

ArticleBMC plant biology2026

Differential resource acquisition strategies of herbaceous and woody plants in temperate forests.

Jiali Luo, Jinlong Li, Ying Sun, Abraham Allan Degen, Xiaoting Wang, Junlan Xiong, Muhammad Aqeel, Shubin Xie, Dong Tang, Fan Li and 7 more

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

17 authors.

Jiali LuoState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Jinlong LiState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Ying SunState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Abraham Allan DegenDesert Animal Adaptations and Husbandry, Wyler Department of Dryland Agriculture, Institutes for Desert Research, Ben-Gurion University of Negev, Beer Sheva, Israel.
Xiaoting WangState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Junlan XiongState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Muhammad AqeelState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Shubin XieState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Dong TangState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Fan LiState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Weigang HuState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Longwei DongState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Jie PengState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Qingqing HouState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Yan DengState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Jinzhi RanState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Jianming DengState Key Laboratory of Herbage Improvement and Grassland Agro- Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China. dengjm@lzu.edu.cn.

Funding

Gansu Provincial Youth Science and Technology Fund 25JRRA710Key Research and Development Programs in Gansu Province 23ZDKA0010, 23ZDNA009, 24ZD13NA016National Key Research and Development Program of China 2023YFF0805602National Natural Science Foundation of China 32225032, 32271597Natural Science Foundation of Gansu Province 21JR1RA138, 22JR5RA525, 23JRRA1157Research Grant Support from Lanzhou City 127000-563224111the National Natural Science Foundation of China 32501402
6 · The paper itself

Abstract

backgroundFunctional traits are pivotal indicators of plant ecological strategies, regulating resource acquisition and allocation through traits trade-offs. However, few studies have explored how trait coordination underlying resource-use strategies vary across plant life-forms from different trait dimensionalities. In this study, we examined 14 leaf functional traits in 81 plant species (27 herbaceous and 54 woody species) from the southwestern Qinling Mountains, including 6 structural traits (leaf area, leaf thickness, leaf mass per area, leaf dry matter content, leaf tissue density, and leaf volume), 4 chemical traits (leaf carbon, nitrogen, and phosphorus concentrations and nitrogen-to-phosphorus ratio), and 4 photosynthetic traits (maximum net photosynthetic rate, stomatal conductance, internal-to-ambient carbon dioxide ratio, and photosynthetic nitrogen use efficiency).

resultsOur findings revealed divergent distribution ranges between herbaceous and woody plants along the leaf economics spectrum, with herbaceous plants at the resource acquisition end (e.g., high nutrient concentration and photosynthesis rate) and woody plants at the resource conservation end (e.g., high tissue density). Furthermore, herbaceous plants exhibited higher connectivity in their trait networks, with leaf area as the hub trait, emphasizing efficient resource utilization through optimized light interception. In contrast, woody plants showed greater modularity, with leaf dry mass content as the hub trait, reflecting enhanced flexibility to environmental pressures by prioritizing maintenance and defense.

conclusionsThese findings advance our understanding of how trait coordination mediates plant adaptative strategies across multiple dimensions and underscore the functional importance of plant hub traits in modulating resource use strategy across plant life-forms.

Indexed as

ForestsPlant Physiological PhenomenaPlantsTreesCarbonNitrogenPhosphorusPhotosynthesisPlant LeavesCarbonNitrogenPhosphorusFunctional traitsLeaf economics spectrumLife-formResource-use strategyTrait networks

Identifiers

PMID41484820
PMCPMC12866289

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.