Evidence map›Paper›PMID 40508391›Full record

ArticlePlants (Basel, Switzerland)2025

Plant Architectural Structure and Leaf Trait Responses to Environmental Change: A Meta-Analysis.

Runze Li, Xiping Cheng, Pengyue Dai, Mengting Zhang, Minxuan Li, Jing Chen, Wajee Ul Hassan, Yanfang Wang

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Runze LiCollege of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China.
Xiping ChengCollege of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China.
Pengyue DaiCollege of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China.
Mengting ZhangCollege of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China.
Minxuan LiCollege of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China.
Jing ChenCollege of Gardening and Horticulture, Southwest Forestry University, Kunming 650224, China.
Wajee Ul HassanCollege of Forestry, Southwest Forestry University, Kunming 650224, China.ORCID 0009-0004-3454-939X
Yanfang WangCollege of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China.

Funding

China Yunnan Fundamental Research Projects NO. 202301BD070001-244
6 · The paper itself

Abstract

The relationship between plants and their environment has always been a core issue in ecological research. This study about how plant architecture and leaf traits respond to environmental changes helps to more deeply understand the adaptive mechanisms of plants in diverse environments. Although there have been related studies, a systematic analysis on a China-wide scale is still lacking. To address this gap, we conducted a meta-analysis of 115 studies across China examining plant architectural and leaf trait responses to environmental changes. The dataset includes 849 observations across 11 ecological variables, such as the mean annual precipitation, mean annual temperature, soil type, and elevation, and evaluates their effects on seven key plant traits. The results indicated that variations in the plant height, diameter at breast height (DBH), and root-to-shoot ratio are primarily influenced by the soil type and mean annual precipitation. In contrast, the soil type and mean annual sunshine duration mainly affected the specific leaf area (SLA), leaf area, leaf thickness, and leaf dry matter content. Moreover, while the magnitude of trait responses varies across precipitation, temperature, elevation, and soil property gradients, the impacts of environmental change are particularly pronounced under more extreme conditions. This study provides robust scientific evidence for understanding the effects of environmental change on plant growth across China and offers valuable insights into ecological conservation and the sustainable use of plant resources.

Indexed as

environmental changesenvironmental factorsleaf traitsmeta-analysisplant architectural structure

Identifiers

PMID40508391
PMCPMC12157246

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.