Feedbacks of the plant physiology in a coupled climate model under a "hypothical" cooler climate during the Holocene
Bibliographic record
Abstract
We use the NCAR’s Community Climate System Model (CCSM3) forced by greenhouse gas concentrations that are lower than nominal pre-industrial (˜ 1750 AD) levels and instead based on natural levels that were reached in similar stages of previous interglaciations. The aim is to test the plant physiology feedback from the vegetation model with the coupled atmosphere-slab ocean configuration at a moderate resolution (T42). According to previous modeling work allowing interactive vegetation but no physiology feedback, the response of this model to lowered greenhouse gases is a global cooling of about 3 K and an expansion of arctic snow area, resulting from an arctic desert expansion and a decrease mainly of boreal trees and also tundra. We focus on the comparison of two experiments with both the vegetation feedbacks (interactive vegetation) but one with no plant physiology feedback (NOANTHRO_VEG) and the other with plant physiology feedback (NOANTHRO_VEG_PHYSIO). The physiology feedback produces an even cooler northern hemisphere high latitude climate, about -0.5 K on average. But the land winter temperature difference can reach 2 K near the northern pole. Furthermore, the physiology feedback amplifies the decrease of boreal tree cover in high latitudes and the tundra area in many places except on the southern limit (South-west and south-east Russia and south-east Canada), where the tundra is increasing. In some tropical forest regions, the physiology effect interacts with the recycling and affects the evaporation, the evapo-transpitation locally. Viewed from the perspective of explaining the unusual late-Holocene increases of CO2 that occurred prior to the Industrial Revolution, these simulated changes in the vegetation support the hypothesis that early agriculture played a role in initiating anomalous warming that thwarted incipient glaciation beginning several thousand years ago. In this work, we will show the impact of the vegetation feedback and the physiology effect on the climate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".