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Record W2075096919 · doi:10.4296/cwrj3404453

The Impact of Climate Change on Canadian Peatlands

2009· article· en· W2075096919 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsPeatClimate changePhysical geographyEnvironmental scienceGeographyClimatologyGeologyArchaeologyOceanography

Abstract

fetched live from OpenAlex

Abstract Peatlands cover 12% (1.136 million km2) of the land area of Canada, with perennially frozen peatlands covering 37% of this area and peatlands of the Boreal and Subarctic regions covering 97%. In total, these peatlands contain approximately 147 Gt of soil organic carbon, which is about 56% of the organic carbon stored in all Canadian soils. Climate change predictions suggest that the average annual air temperature in northern Canada will increase 3–5°C by the end of this century. A peatland sensitivity model was used to determine the effect of climate warming on these peatlands. This model predicts that approximately 60% of the area and 56% of the organic carbon mass in all Canadian peatlands will be severely to extremely severely affected by climate change. Although peatlands were affected by climate change in the past, the changes occurred at a slower rate than is predicted for the current change of climate. This accelerated rate of climate change will result in serious degradation of perennially frozen peatlands in the Subarctic and Boreal regions and severe drying of peatlands in the southern portions of the Boreal Region. As a result of these changes, large amounts of carbon in the forms of carbon dioxide (CO2) and methane (CH4) will be released into the atmosphere from these peatlands. This will further accelerate climate warming. Les tourbières couvrent 12 % (1,136 million km2) du territoire canadien, les tourbières à pergélisol couvrant 37 % de cette surface et les tourbières des régions boréales et subarctiques couvrant 97 %. En tout, ces tourbières contiennent environ 147 milliards de tonnes de carbone organique du sol, ce qui représente environ 56 % du carbone organique emmagasiné dans tous les sols canadiens. Les prédictions en matière de changement climatique tendent à indiquer que la température de l'air annuelle moyenne dans le Nord du Canada augmentera de 3 à 5° C d'ici la fin du siècle. Un modèle de vulnérabilité des tourbières a été utilisé pour déterminer l'effet du réchauffement climatique sur ces tourbières. Ce modèle prédit que le changement climatique aura des répercussions allant de graves à extrêmement graves sur environ 60 % de la surface et 56 % de la masse du carbone organique dans toutes les tourbières du Canada. Bien que les tourbières aient été touchées par le changement climatique par le passé, les changements se sont produits à un rythme plus lent que celui qui est prédit pour le changement climatique actuel. Ce rythme accéléré de changement climatique entraînera une grave dégradation des tourbières à pergélisol dans les régions subarctiques et boréales ainsi qu'un assèchement grave des tourbières dans les parties Sud de la région boréale. Ces changements auront pour conséquence que de grandes quantités de carbone seront libérées dans l'atmosphère par ces tourbières sous forme de dioxyde de carbone (CO2) et de méthane (CH4), ce qui aura pour effet d'accélérer encore davantage le réchauffement climatique.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.999

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.221
Teacher spread0.207 · 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