Variation in <scp>CSR</scp> plant strategies along soil and climate gradients: A comparison between rocky outcrops and nearby rangelands
Bibliographic record
Abstract
Abstract Question Rocky outcrops in mountains represent unique ecosystems characterized by a series of stress‐inducing features on living organisms. Despite numerous studies focusing on plant diversity and species community composition in these ecosystems, less attention has been given to understanding plant strategies in response to their challenging environment. This is essential, especially considering the existence of numerous endemic species facing climate change and human disturbances. Location The study was conducted in six sites located in rocky outcrops and their nearby rangelands across a rainfall gradient (160–910 mm) and under different soil fertility levels in northern Iran. Methods We used competitor, stress tolerator and ruderal (CSR) strategies as functional groups to examine the responses of plant communities to environmental variation. The composition of plant species and functional traits were evaluated in ninety 1‐m 2 plots. The influence of 10 soil and 5 bioclimatic factors on CSR plant strategies was examined along the rainfall gradient. Results Our results showed changes in CSR strategies from stress‐tolerant species (S) in rocky outcrops toward intermediate strategies (S/CSR) in rangelands. Soil organic carbon, electrical conductivity and sand were consistently correlated with shifts from S towards C and R strategies in rangelands. Silt and sodium (Na) affected the presence of S strategies in outcrops. The stressful conditions induced by a fine soil texture and Na in outcrops were particularly effective in establishing the dominance of the S strategy. Conclusions We identified patterns of shifts in CSR plant strategies that align with changes in environmental gradients. Although stress‐tolerant species (S) were the dominant strategy in most cases, this shifted towards intermediate strategies (SR and CSR) under more benign environmental conditions. In outcrops, these changes were primarily aligned with soil parameters, whereas in rangelands, both soil and climate variables were correlative. However, these correlations varied between soil and climate factors, as well as between outcrop and rangeland landscapes.
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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 | 0.001 |
| 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".