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Record W4404292027 · doi:10.1016/j.chemgeo.2024.122484

17O-excess of grass leaf phytoliths across the North American prairies records late-growing season daytime relative humidity

2024· article· en· W4404292027 on OpenAlexaff
Minger Guo, Anne Alexandre, Fred J. Longstaffe, Christophe Peugeot, Elizabeth A. Webb

Bibliographic record

VenueChemical Geology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSilicon Effects in Agriculture
Canadian institutionsWestern University
FundersUniversidad de Almería
KeywordsDaytimeRelative humidityGeologyPhysical geographyEnvironmental scienceAtmospheric sciencesGeographyMeteorology

Abstract

fetched live from OpenAlex

Because it is an important climate parameter, an accurate proxy is required for the reconstruction of past Relative Humidity (RH). Triple oxygen isotopes of grass-leaf phytoliths have a high potential for this purpose. A strong correlation between RH and 17 O-excess of grass leaf phytoliths has been previously demonstrated from calibration experiments in growth chambers and at natural Sub-Saharan African and Mediterranean sites. Here we focus on the potential of 17 O-excess of grass leaf phytoliths as a proxy of RH across the North American Great Plains. We tested the relationship between the 17 O-excess of naturally grown Calamovilfa longifolia phytoliths and RH for different periods of the grass growing season. The results show that 17 O-excess of leaf phytoliths has a strong correlation with late-growing season (July–August) daytime RH, which varies from 29 to 72 % across North America. The correlation can be expressed as: 17 O-excess leaf phytoliths = 4.14(±0.47) × RH (%) – 497(±26) (R 2 = 0.85, p -value<0.0001). To use the 17 O-excess of bulk phytoliths buried in soils and sediments as a quantitative proxy of past RH, future calibration studies on soil phytoliths are needed to evaluate the contribution of non-transpiring phytoliths. The 17 O-excess of stem water, which was determined by 17 O-excess of stem phytoliths, shows similar values to the 17 O-excess of precipitation in North America without evaporation, which therefore does not affect the 17 O-excess of leaf phytoliths in North America. These results demonstrate that the 17 O-excess of phytoliths is a promising proxy for regional growing season RH. • Grass leaf phytolith 17 O-excess is a direct proxy of Relative Humidity (RH). • North American grass leaf phytoliths record late-growing season daytime RH. • 17 O-excess leaf phytolith = 4.14 × RH (%) – 497 (R 2 = 0.85), RH ranges from 29 to 72 %. • Soil water evaporation does not imprint on the estimated 17 O-excess stem water. • The contribution of non-transpiring phytolith to soil assemblages must be evaluated.

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)0.000
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 score0.435
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.253
Teacher spread0.241 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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