The small-scale spatiotemporal pattern of a seed bank in the Negev Desert, Israel
Bibliographic record
Abstract
Seed banks are generally considered clumped, but few studies document the small-scale horizontal spatial pattern of seeds. We measured the horizontal spatial pattern of a seed bank for an annual plant community (ca 20 species) in the Negev desert, Israel, using geostatistics to test whether the seed bank changes over time or along a natural stress gradient. We also tested for differences between large and small seeds. Seed was collected at three different times and at two locations (high and low stress) on a semi-stabilized sand dune using contiguous 3-cm cores. Using semivariograms to measure the degree of aggregation, we detected a clump size of 85 cm2 that was consistent across time, stress level, and seed size. This consistency could be extremely important if small-scale clumping of seed banks generates specific associations between species of seeds and the emergent plants. Further work with seed bank-based communities would strongly benefit from measures of spatial pattern and species associations of seeds.
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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 | 0.001 |
| 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".