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Record W6891652521 · doi:10.48336/prs1-8g73

Modelling the terrestrial nitrogen and phosphorus biogeochemical cycles in an intermediate complexity Earth system climate model

2024· article· en· W6891652521 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.

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBiogeochemical cycleTerrestrial ecosystemNutrientCarbon cyclePhosphorusEarth system scienceNitrogen cycleCarbon fibersNitrogen

Abstract

fetched live from OpenAlex

The application of land nutrient limitation has been shown to improve the accuracy of carbon cycle estimates in Earth system models simulations. As the main limiting nutrients in terrestrial systems nitrogen and phosphorus cycles are crucial for the terrestrial carbon cycle representation. In this thesis a terrestrial nitrogen and phosphorus cycles modules were developed for Earth system models, utilizing the University of Victoria Earth System Climate Model. Both nitrogen and phosphorus cycles were then applied to assess the impact of nutrient limitation on remaining carbon budget estimations. Moreover, the nitrogen cycle representation was used to simulate terrestrial N₂O emissions. After coupling with an existing ocean N₂O emission module, the N₂O dynamics were used to project N₂O concentrations to the end of the 21st century. This represents the first fully coupled terrestrial-ocean N₂O dynamic module in existence. The terrestrial nutrient limitation reduced the capacity of terrestrial vegetation to uptake carbon, decreasing the land primary productivity. This decrease improved the representation of terrestrial productivity in comparison with observations. The remaining carbon budgets were reduced by 19 and 21% for the 1.5°C warming target with the application of nutrient limitation in different Shared Socioeconomic Pathways, re-enforcing the importance of nutrient limitation in the uncertainties of the carbon cycle. As remaining carbon budgets are an important decision-making metric, nutrient limitation is suggested to be taken into account when analyzing or estimating these budgets. The projection of N₂O concentration was between 401 to 418 ppb in the year 2100. These simulations show that N₂O concentrations are insensitive to mitigation efforts currently represented in the Shared Socioeconomic Pathways scenarios, showing similar values in low and high-emission scenarios. Overall, terrestrial nitrogen and phosphorus are an integral part of terrestrial systems and have improved the capacity of the University of Victoria Earth System Climate Model to represent the terrestrial carbon cycle.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.002
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 head0.055
GPT teacher head0.270
Teacher spread0.215 · 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