Evidence map›Paper›PMID 40008751›Full record

ArticleEnvironmental science & technology2025

Modeling Long-Term Dynamics of Biogenic Volatile Organic Compounds (BVOCs) in Germany Based on Major Precursors.

Ayoub Moradi, Temesgen Alemayehu Abera, Elliot Samuel Shayle, Mohammed Ahmed Muhammed, Dirk Zeuss

Abstract read
In one paragraph

Article in Environmental science & technology, 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

5 authors.

Ayoub MoradiDepartment of Environmental Informatics, Faculty of Geography, Philipps University of Marburg, Marburg 35032, Germany.ORCID 0000-0001-6336-8847
Temesgen Alemayehu AberaDepartment of Environmental Informatics, Faculty of Geography, Philipps University of Marburg, Marburg 35032, Germany.
Elliot Samuel ShayleDepartment of Environmental Informatics, Faculty of Geography, Philipps University of Marburg, Marburg 35032, Germany.
Mohammed Ahmed MuhammedDepartment of Environmental Informatics, Faculty of Geography, Philipps University of Marburg, Marburg 35032, Germany.
Dirk ZeussDepartment of Environmental Informatics, Faculty of Geography, Philipps University of Marburg, Marburg 35032, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biogenic Volatile Organic Compounds (BVOCs) are organic chemicals emitted primarily by flora. They impact climate and human health, and their presence is influenced by environmental conditions. Despite the intense effects of climate change, there is lack of information about the spatiotemporal variations in BVOC emissions and underlying driving factors. This study aims to quantify the variation of BVOCs in Germany and attribute it to deriving factors. We first conducted a detailed study covering the period from 1979 to 2024, during which satellite observations were first became available. Then, using historical records and projected future climate-change scenarios, we simulated the dynamics of BVOCs over an extended timeframe (1790-2065). To track changes in BVOCs emissions, we accounted for constant emission factors and used remotely sensed proxies, summarized into five main factors: biomass, temperature, carbon dioxide, soil moisture, and wildfire. Our results show that the trend of BVOCs emissions declining reversed in 1978 ± 1, with increases now being observed. Since this year, the average BVOCs emissions in Germany increased by ∼54%. Spatially, eastern-central Germany and urban areas exhibit the highest increase. Future projections indicate a continued increase in emissions over the coming decades. Our results were validated by analyzing the Total Column Ozone and Formaldehyde.

Indexed as

Volatile Organic CompoundsAir PollutantsClimate ChangeGermanyAir PollutantsVolatile Organic Compoundsair qualitybiomassclimate changeCO2remote sensingvegetation index

Identifiers

PMID40008751
PMCPMC11912315

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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.