The Population Dynamics of Columnar and Other Cacti: A Review
Bibliographic record
Abstract
Abstract In this article, we review the population cycles of cacti, with an emphasis on the large, often keystone columnar cacti of the North American deserts. These and many other cacti often experience dramatic increases and declines in their numbers. Seeds that germinate in years that provide favourable conditions for regeneration and subsequently survive establish a cohort. We first review the limitations to estimating the age of any given individual; without this information, we cannot reconstruct the age of a population and reconstruct its age structure and demography. We then discuss the techniques for so doing, the data that are available, and the work that has been carried out on a few limited and isolated populations, primarily of Carnegiea gigantea . We then link century‐scale population fluctuations with micro, local, regional and global climate factors, which include nurse‐plant relationships, periodic freezing and El Niño events, and proceed to elaborate on the factors that influence cactus demographics, such as dispersal, pollination, human impacts and climate change.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".