Evidence map›Paper›PMID 40869853›Full record

ArticleInternational journal of environmental research and public health2025

Linking Visual-Auditory Cues to Restoration: The Mediating Role of Perceived Biodiversity.

Jaeyoung Ha, Hyung Jin Kim, M M Lekhon Alam

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Jaeyoung HaLandscape Architecture Program, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0002-8096-0567
Hyung Jin KimDepartment of Landscape Architecture and Regional & Community Planning, Kansas State University, Manhattan, KS 66506, USA.
M M Lekhon AlamDepartment of Technology Systems, East Carolina University, Greenville, NC 27858, USA.ORCID 0009-0003-1338-1017

Funding

Kansas State University N/A
6 · The paper itself

Abstract

Due to rapid urbanization over the past five decades, there has been growing interest in the role of biodiversity in supporting human well-being. While previous research highlights the role of landscape biodiversity in psychological restoration, the pathway linking visual and auditory cues to perceived biodiversity-and subsequently to restorative outcomes-remains poorly understood. This study explores how visual and auditory stimuli influence human perception, including perceived biodiversity, preference, and restorative effects, within environments that maintain a consistent level of ecological biodiversity. This study constructed 16 hypothetical environments by combining three visual factors (species evenness, vegetation height, and plant color) with one auditory factor (presence or absence of natural sound), holding actual biodiversity constant. By comparing results from ANOVA and mixed-effect modeling, our analysis revealed important contrasts between the direct and indirect effects of visual and auditory features on perceived biodiversity and restoration. Plant height and natural sound consistently demonstrated direct positive effects on restorative outcomes. In contrast, plant color and species evenness influenced restoration indirectly, mediated through perceived biodiversity. The mixed-effect model indicated a partial mediation pathway between landscape features and restorative effects-an effect not observed in the ANOVA analysis. Surprisingly, species evenness was not directly associated with restorative outcomes, but was indirectly linked via perceived biodiversity. Similarly, while color enhanced biodiversity perception, it did not directly improve mental restoration and, under some conditions, may even contribute to overstimulation. These findings suggest that the restorative benefits of nature arise not only from the ecological composition of landscapes but also from how biodiversity is perceived. Designers and planners should consider not only biodiversity itself, but also how it is presented and perceived through multisensory experiences.

Indexed as

Auditory PerceptionBiodiversityConservation of Natural ResourcesCuesVisual PerceptionAdultFemaleHumansMaleMiddle AgedYoung Adultauditory–visual stimulipreferencerestorative environmentsurban green spaceurban landscapes

Identifiers

PMID40869853
PMCPMC12386299

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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.