Response of ecosystem carbon balance to asymmetric daytime vs nighttime warming in <i>Artemisia ordosica</i> shrublands
Bibliographic record
Abstract
北京林业大学水土保持国家林业和草原局重点实验 室, 北京 100083; 3 二十一世纪空间技术应用股份有限公司, 北京 100096 摘 要 探究黑沙蒿(Artemisia ordosica)灌丛净生态系统生产力(NEP)和碳利用效率(CUE)对昼夜非对称增温的响应, 揭示碳 平衡各组分对日间或夜间增温的相对敏感性, 对于预测此类生态系统在气候变化条件下的碳源/汇属性及固碳能力是十分必 要的。该研究基于涡度协方差观测数据进行模型参数化和验证, 采用BIOME-BGC模型模拟不同增温情景, 检验非对称增温 如何影响NEP、 CUE及其组分, 包括: 总初级生产力(GPP)、 生态系统呼吸(Re)、 自养呼吸(AR)、 异养呼吸(HR)、 维持呼吸(MR)、 生长呼吸(GR)、净初级生产力(NPP)等。非对称增温方式包括: (1)延续历史升温趋势(1954-2020年)的昼夜非对称增温(日间增 温1.2 ℃, 夜间增温1.8℃); (2)日间或夜间单独增温(2、4、6 ℃)。主要结果: (1)与观测值拟合关系较好的指标包括GPP的逐日 值和逐年值、Re的逐日值以及NEP的逐年值(决定系数: 0.72-0.88;效率系数: 0.72-0.79),拟合关系相对较弱的指标包括Re的 逐年值和NEP的逐日值(决定系数: 0.57、0.26;效率系数: 0.46、0
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".