Effects of climate warming on growth and morphological characteristics of Centaurea maculosa from different regions.
Bibliographic record
Abstract
Infrared simulation warming is used to investigate the effect on Centaurea maculosa's growth and morphological characteristics under the conditions of warming 2℃(overground 10 cm).The C.maculosa seeds came from different regions in North America and Europe.The results indicated that the temperature increase may impact the plant height,leaf number,and leaf area,shoot biomass,root biomass,root-top ratio of C.maculosa from different regions.It can promote or restrain these processes in a certain extent.Comparing to other situations,the temperature increase made Arkansas,Ukraine and Canada C.maculosa's plant height increase significantly.Warming also made Maryland C.maculosa's plant height decrease significantly.The total leaf number increased 1～5,but the leaf number of Ukraine,Maryland did not increase.The leaf morphological properties became smaller.At the same time,the total leaf area of Canada C.maculosa increased obviously,while Vermont group decreased significantly.Montana C.maculosa's shoot biomass increased by warming,whereas Romania group was significantly reduced.For root biomass,Ukraine,Romania,Vermont C.maculosa reduced obviously.The warming made Ukraine,Montana,Maryland and Vermont C.maculosa's root-top ratio decreased obviously in this condition.Their response orders(from promote to restrain) are:Arkanses group,Canada group,Montana group,Ukraine group,Vermont group,Maryland group,Romania group.It indicated that C.maculosa from different regions have different adaptabilities under warming condition,the differences reflect in the C.maculosa's growth and morphologies.As invasive species,the invasiveness are also different under the environment of global warming.
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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 | 0.000 | 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) | 0.000 | 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".