ArticleApplications in plant sciences
The sensitivity of reconstructed carbon dioxide concentrations to stomatal preparation methods using a leaf gas exchange model.
Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Characterizing the causes and consequences of calcium oxalate crystal presence in Vitis riparia.American journal of botany · 2026Article
- The sensitivity of reconstructed carbon dioxide concentrations to stomatal preparation methods using a leaf gas exchange model.Applications in plant sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premise: Mechanistic models using stomatal traits and leaf carbon isotope ratios to reconstruct atmospheric carbon dioxide (CO Methods: Three people measured the stomatal density and index, guard cell length, guard cell pair width, and pore length of leaves from the same Results: There are significant differences between trait measurements from each method. Modeled Discussion: We show that there is not a significant difference between
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Registered trials
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.