Evidence map›Paper›PMID 40391033›Full record

ReviewFrontiers in plant science2025

Cliff-dwelling plants: rare and precious species in harsh habitats.

Zhengnan Zhao, Hongyan Sun, Si Liu, Xiao Chen, Shiwei Zhao, Jiangang Zhu

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Zhengnan Zhao *Beijing Key Laboratory of Greening Plants Breeding, Beijing Academy of Forestry and Landscape Architecture, Beijing, China.
Hongyan Sun *Beijing Key Laboratory of Greening Plants Breeding, Beijing Academy of Forestry and Landscape Architecture, Beijing, China.
Si LiuBeijing Key Laboratory of Greening Plants Breeding, Beijing Academy of Forestry and Landscape Architecture, Beijing, China.
Xiao ChenBeijing Key Laboratory of Greening Plants Breeding, Beijing Academy of Forestry and Landscape Architecture, Beijing, China.
Shiwei ZhaoBeijing Key Laboratory of Greening Plants Breeding, Beijing Academy of Forestry and Landscape Architecture, Beijing, China.
Jiangang ZhuBeijing Key Laboratory of Greening Plants Breeding, Beijing Academy of Forestry and Landscape Architecture, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cliffs represent unique ecosystems that harbor diverse rare cliff-dwelling plants (CDPs), which play critical roles in enhancing biodiversity and maintaining ecological stability. Despite substantial advances in CDP research enabled by modern biological technologies, particularly in diversity assessment, taxonomic classification, and conservation strategies, the field lacks comprehensive syntheses of recent progress, impeding efficient identification of emerging research directions. This review systematically examines five key research domains: (1) The ecological and potential application value of CDPs; (2) cliff habitat ecology, focusing on abiotic factors such as microclimate, edaphic properties, and water conditions, as well as biotic components; (3) adaptive strategies of CDPs, encompassing morphological specializations, physiological resilience mechanisms, early growth stage, reproductive characteristics, molecular-level evolutionary adaptations, and genetic diversity patterns; (4) technological advancements in cliff research methodologies; and (5) CDP conservation strategies by conducting a comparative analysis between

Indexed as

cliff-dwelling plantscliff habitatsobservation methodsplant conservationsurvival mechanism

Identifiers

PMID40391033
PMCPMC12086150

What OpenQuestion holds

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LicenceCC BY
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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.