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Record W2891130047 · doi:10.1038/s41467-018-06050-2

Tropical peatland carbon storage linked to global latitudinal trends in peat recalcitrance

2018· article· en· W2891130047 on OpenAlexafffund
Suzanne B. Hodgkins, Curtis J. Richardson, René Dommain, Hongjun Wang, Paul H. Glaser, B. A. Verbeke, B. Rose Winkler, Ale×ander R. Cobb, Virginia I. Rich, Malak Missilmani, Neal E. Flanagan, Mengchi Ho, Alison M. Hoyt, Charles F. Harvey, S. Rose Vining, Moira Hough, Tim R. Moore, Pierre J. H. Richard, Florentino B. De la Cruz, Joumana Toufaily, Rasha Hamdan, William Cooper, Jeffrey P. Chanton

Bibliographic record

VenueNature Communications · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsUniversité de MontréalMcGill University
FundersBiological and Environmental ResearchU.S. Forest ServiceNational Research FoundationNational Aeronautics and Space AdministrationLangley Research CenterUniversity of PennsylvaniaNational Research Foundation SingaporeFlorida State UniversityOffice of ScienceU.S. Department of EnergyU.S. Fish and Wildlife ServiceNatural Sciences and Engineering Research Council of CanadaU.S. Department of AgricultureNational Science Foundation
KeywordsPeatBorealTransectEnvironmental scienceLatitudeTropicsCarbon fibersPhysical geographyEnvironmental chemistryEcologyAtmospheric sciencesGeologyChemistryGeographyBiology

Abstract

fetched live from OpenAlex

Peatlands represent large terrestrial carbon banks. Given that most peat accumulates in boreal regions, where low temperatures and water saturation preserve organic matter, the existence of peat in (sub)tropical regions remains enigmatic. Here we examined peat and plant chemistry across a latitudinal transect from the Arctic to the tropics. Near-surface low-latitude peat has lower carbohydrate and greater aromatic content than near-surface high-latitude peat, creating a reduced oxidation state and resulting recalcitrance. This recalcitrance allows peat to persist in the (sub)tropics despite warm temperatures. Because we observed similar declines in carbohydrate content with depth in high-latitude peat, our data explain recent field-scale deep peat warming experiments in which catotelm (deeper) peat remained stable despite temperature increases up to 9 °C. We suggest that high-latitude deep peat reservoirs may be stabilized in the face of climate change by their ultimately lower carbohydrate and higher aromatic composition, similar to tropical peats.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.956

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 studies0.0000.000
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 head0.018
GPT teacher head0.306
Teacher spread0.288 · 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

Citations228
Published2018
Admission routes2
Has abstractyes

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