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Record W4407162404 · doi:10.1139/er-2024-0038

Development trend, evolution of themes, gaps, and challenges of the research investigating ozone effects on vegetation

2025· article· en· W4407162404 on OpenAlexvenueno aff
Ning Yang, Lorenzo Cotrozzi, Chunlan Liu, Qing Qiao, Xiaoke Wang, Feixiang Zheng, Yasutomo Hoshika, Cristina Nali, Elena Paoletti, Claudia Pisuttu, Samuele Risoli, Elisa Pellegrini

Bibliographic record

VenueEnvironmental Reviews · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant responses to elevated CO2
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsVegetation (pathology)Environmental scienceOzoneEcologyPhysical geographyGeographyEarth scienceEnvironmental resource managementBiologyMeteorologyGeology

Abstract

fetched live from OpenAlex

Tropospheric ozone (O 3 ) is a potent oxidant that can harm plants, making it a key focus of research in ecology and agriculture. However, comprehensive reviews about the developmental history of O 3 research on plants are lacking. This review utilized Citespace software to unveil the evolution of the main research themes over time, which correlated with three distinct developmental periods. During the first period, researchers primarily focused on the impact of O 3 on photosynthesis and plant defense responses. As time progressed, more in-depth investigations were undertaken, including determining the critical levels at which O 3 damage to plants occurred, analyzing the source–sink carbon balance and carbon allocation, assessing food security based on risk evaluation, identifying quantitative trait loci associated with O 3 tolerance, conducting transgenic research, and exploring the combined effect of multiple stressors on vegetation within the context of climate change. Despite these insights, several gaps and challenges remain, that merit future considerations. Greater research efforts should focus on (1) insufficient studies on the combined effects of O 3 , CO 2 , and drought in the context of global warming; (2) intermittent elevated O 3 events and plant recovery mechanisms under low O 3 concentration; (3) reproductive and renewal capacity of species, and t O 3 effects on community stability or composition; (4) updating O 3 flux measurements to reflect effective O 3 flux when O 3 index is applied, and challenges in determining species-specific phytotoxicity threshold; and (5) O 3 -tolerance gene screening and breeding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.094

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.269
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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