Evidence map›Paper›PMID 40219182›Full record

ArticlePlants (Basel, Switzerland)2025

Is Moss Still a Reliable Biomonitor of Nitrogen and Sulfur Deposition After Decades of Emissions Reductions?

Mehriban Jafarova, Julian Aherne, Monia Renzi, Serena Anselmi, Inga Zinicovscaia, Nikita Yushin, Ilaria Bonini, Stefano Loppi

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. 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.

Mehriban JafarovaDepartment of Life Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-5394-7589
Julian AherneSchool of Environment, Trent University, Peterborough, ON K9L 0G2, Canada.
Monia RenziDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0003-2452-1698
Serena AnselmiBioscience Research Center, 58015 Orbetello, Italy.
Inga ZinicovscaiaJoint Institute for Nuclear Research, 141980 Dubna, Russia.ORCID 0000-0003-0820-887X
Nikita YushinJoint Institute for Nuclear Research, 141980 Dubna, Russia.ORCID 0000-0001-5650-4337
Ilaria BoniniDepartment of Life Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-9090-2926
Stefano LoppiDepartment of Life Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-3404-1017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosses are widely used as biomonitors of atmospheric nitrogen (N) and sulfur (S) deposition due to their broad distribution, ease of sampling, and capacity to trap and accumulate atmospheric particles. However, since 2000, S emissions have decreased by more than 80% across Europe, and N oxides by 40-50%. This study evaluated whether moss remains effective for monitoring atmospheric N and S deposition after decades of emission reductions. This assessment was conducted at 33 rural sites in Tuscany, Central Italy, a region characterized by relatively low levels of N and S deposition. The content of N and S in moss were compared with the air concentrations (gases and particles) and wet and dry deposition of N and S from the Cooperative Programme for Monitoring and Evaluation of Long-range Transmission of Air Pollutants in Europe (EMEP) model and an air pollution index derived from trace element concentrations. The average N content of moss (1.15 ± 0.42%) was an order of magnitude greater than that of S (0.11 ± 0.02%), reflecting the dominance of N deposition. Nevertheless, N and S in moss were strongly correlated (r

Indexed as

Central Italydry depositionEMEPHypnum cupressiformeTuscanywet deposition

Identifiers

PMID40219182
PMCPMC11991018

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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.