Climate control of terrestrial carbon exchange across biomes and continents
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.
Bibliographic record
Abstract
Understanding the relationships between climate and carbon exchange by terrestrial ecosystems \nis critical to predict future levels of atmospheric carbon dioxide because of the potential \naccelerating effects of positive climate–carbon cycle feedbacks. However, directly observed \nrelationships between climate and terrestrial CO2 exchange with the atmosphere across biomes \nand continents are lacking. Here we present data describing the relationships between net \necosystem exchange of carbon (NEE) and climate factors as measured using the eddy \ncovariance method at 125 unique sites in various ecosystems over six continents with a total of \n559 site-years. We find that NEE observed at eddy covariance sites is (1) a strong function of \nmean annual temperature at mid- and high-latitudes, (2) a strong function of dryness at mid- and \nlow-latitudes, and (3) a function of both temperature and dryness around the mid-latitudinal belt \n(45◦N). The sensitivity of NEE to mean annual temperature breaks down at ∼16 ◦C (a threshold \nvalue of mean annual temperature), above which no further increase of CO2 uptake with \ntemperature was observed and dryness influence overrules temperature influence.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it