Evidence map›Paper›PMID 40652012›Full record

ArticleScientific reports2025

Aeropalynological analysis of airborne pollen in Posof Türkiye and its relationship with meteorological factors.

Melih Karabağ, Salih Akpınar

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Melih KarabağDepartment of Biology, Faculty of Science and Letters, Kafkas University, Kars, Turkey.ORCID http://orcid.org/0000-0003-2659-0371
Salih AkpınarDepartment of Biology, Faculty of Science and Letters, Kafkas University, Kars, Turkey. slh_akpinar@hotmail.com.ORCID http://orcid.org/0000-0003-2435-7373

Funding

Kafkas University Scientific Research Projects Coordination Unit 2019-FM-55
6 · The paper itself

Abstract

This study investigated airborne pollen concentrations in the Posof District of Ardahan Province during 2020 and 2021. The significance of the study lies in the region's location on the Georgian border and its transitional position between the Eastern Anatolia and Black Sea regions, which influence its vegetation and pollen composition. Pollen sampling was conducted using Hirst-type volumetric 7-day pollen and spore trap, identifying 39 taxa-21 woody and 18 herbaceous. The dominant pollen taxa were Pinaceae (37.18%), Betula (14.55%), Poaceae (9.35%), Cupressaceae/Taxaceae (7.26%), and Urticaceae (7.04%). The highest pollen concentrations were recorded in May, indicating a seasonal peak. Taxonomic pollen diversity in Posof showed similarities to both Black Sea and Eastern Anatolian regions. Spearman's correlation analysis revealed a positive correlation between mean daily temperature and wind speed with pollen concentrations, whereas relative humidity showed a negative correlation. Due to the region's geographical and climatic conditions, the onset dates of identified pollen types were delayed by 2-4 weeks compared to similar studies. This delay is attributed to altitude and specific meteorological conditions, particularly lower spring temperatures, persistent snow cover, and delayed warming, which collectively postpone plant phenology and pollen release. The findings contribute to understanding airborne pollen dynamics in Posof and provide valuable data for regional aerobiological studies.

Indexed as

Air PollutantsAllergensEnvironmental MonitoringPollenAltitudeMeteorological ConceptsSeasonsTemperatureTurkeyAir PollutantsAllergensAirborne pollenPollen diversityPosofTürkiyeVolumetric trap

Identifiers

PMID40652012
PMCPMC12255752

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Registered trials

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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.