Evidence map›Paper›PMID 40484871›Full record

ArticleStress biology2025

Depth effects of trail development on herbaceous plant diversity and stress responses through flavonoid accumulation.

Hu Su, Hu Jiang, Carly Anderson Stewart, Dina Clark, Sukuan Liu, Erin A Manzitto-Tripp

Abstract read
In one paragraph

Article in Stress biology, 2025. 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

6 authors.

Hu SuDepartment of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA. husu.boulder@outlook.com.ORCID http://orcid.org/0000-0002-9672-944X
Hu JiangDepartment of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA.
Carly Anderson StewartDepartment of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA.
Dina ClarkMuseum of Natural History, University of Colorado, UCB 350, Boulder, CO, 80309, USA.
Sukuan LiuDepartment of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA.
Erin A Manzitto-TrippDepartment of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA.

Funding

Parks & Natural Resources Division of Longmont City CA_21_001148
6 · The paper itself

Abstract

Trail development is more prevalent as tourism develops globally. The depth effect of trail development on plant diversity and native species' stress response via tuning flavonoids in natural ecosystems remain relatively poorly understood. We investigated the depth effects by comparing plant species diversity and flavonoid contents (of six common native species) in sampling plots plots (Rabbit Mountain Open Space, Boulder County, CO, USA) with varying distances away from trail. We found plant diversity to be lowest in plots immediately proximal to trails and highest in intermediate plots. We also found the concentrations of total flavonoids to vary significantly between plots closer and away from trails. Specifically, we found the concentrations of isoorientin and myricetin higher in plots closer to trails. On the contrary, the concentrations of vitexin and kaempferol were higher in plots away from trails. Quercetin was higher in the intermediate plots. Overall, trail development negatively impacted herbaceous plant diversity, which was evident as depth effects. The plant species responded to environmental stresses imposed by trail development through fine-tuned flavonoid accumulation.

Indexed as

DiversityFlavonoidResponseStressTrail development

Identifiers

PMID40484871
PMCPMC12146240

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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.