Intraspecific trait variability mediates the effect of nitrogen addition and warming on aboveground productivity
Bibliographic record
Abstract
Recent studies have shown that intraspecific trait variability is an important source of total trait variation. However, the contribution of intraspecific variability to ecosystem functions in the face of global change remains unknown. We quantified the relative contribution of intra‐ and inter‐specific functional changes on productivity in 48 plots subjected to eight years of nitrogen addition and warming in a Tibetan alpine meadow. The change of the mean (community weighted mean) and the variation (Rao's quadratic entropy) in trait values in response to nitrogen addition and warming were separated into the changes driven by interspecific and intraspecific trait variations using a variance partitioning method. We found that productivity showed a hump‐shaped response to nitrogen addition, with the highest productivity at intermediate levels of nitrogen addition. This hump‐shaped response was mediated by the changes in plant functional structure. A community having higher interspecific variation in plant height and individuals producing bigger leaf area can increase productivity via niche complementary and dominance effects, respectively. Warming reduced productivity directly and marginally decreased individuals' leaf area which suppressed productivity indirectly. Our research suggests a non‐negligible role of plant intraspecific trait variability in maintaining ecosystem functions, especially in the face of global change.
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How this classification was reachedexpand
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".