Evidence map›Paper›PMID 42553693›Full record

ArticlePNAS nexus2026

Mitigating artificial light at night: effectiveness of policies and implications for plant phenology.

Brandt Geist, Lin Meng, Travis Longcore, Zhuosen Wang, Franz Hölker, Huidong Li, Hao Yin, Mahir Tajwar

Abstract read
In one paragraph

Article in PNAS nexus, 2026. 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

8 authors.

Brandt GeistDepartment of Earth and Environmental Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Lin MengDepartment of Earth and Environmental Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID https://orcid.org/0000-0002-1603-4200
Travis LongcoreInstitute of the Environment and Sustainability, University of California, Los Angeles, Los Angeles, CA 90095, USA.ORCID https://orcid.org/0000-0002-1039-2613
Zhuosen WangEarth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, USA.
Franz HölkerLeibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany.
Huidong LiDepartment of Earth and Environmental Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID https://orcid.org/0000-0001-7969-4727
Hao YinDepartment of Earth and Environmental Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Mahir TajwarDepartment of Earth and Environmental Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID https://orcid.org/0000-0002-3639-1491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light pollution, an increasingly recognized environmental hazard, disrupts urban ecosystems, including plant phenology, such as leaf-out and senescence. In recent years, municipalities have enacted legislation to reduce artificial light at night (ALAN) at city levels. However, the effectiveness of these mitigation strategies on reducing ALAN and their impacts on urban ecosystems remain underexplored. Here, we present a proof of concept analysis to explore the potential of ALAN-mitigation policies on changes in intensity and spectrum composition of ALAN and consequent changes in plant phenology using Sustainable Development Science Satellite 1 data for 2022-2024 in paired US cities-one with mitigation policies and one without. Results suggest that ALAN declined in cities with ALAN-mitigation policies (New York City and Washington DC), with the largest decline in blue band. In contrast, ALAN increased in cities without policies (Newark and Philadelphia). The reduction in shifts of spring and autumn phenology observed in cities with mitigation was consistent with declines in ALAN exposure. These findings highlight the potential of multispectral nighttime light data in quantitatively assessing the efficacy of ALAN-mitigation policies in reducing light pollution and its ecological impacts.

Indexed as

artificial light at night (ALAN)plant phenologypublic policyurban ecology

Identifiers

PMID42553693
PMCPMC13435329

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.