Demographic structure of three species of<i>Sarcocapnos</i>(Fumariaceae) as a basis for their conservation
Bibliographic record
Abstract
The genus Sarcocapnos DC., endemic to the western Mediterranean basin, contains seven species, all of which are rare. Monthly monitoring of the number and flowering status of individuals as well as the appearance of new seedlings in five populations of three species, Sarcocapnos baetica (Boiss. & Reuter) Nyman, Sarcocapnos enneaphylla (L.) DC., and Sarcocapnos pulcherrima Morales & Romero-García, was conducted between July 1997 and June 1998. This monitoring was repeated in May 1999 and 2000. Given the difficulty in establishing the age of individuals, those that did not produce flowers in the study period were considered juveniles, and reproductive individuals that wilted for no apparent external cause were deemed senescent. Sarcocapnos enneaphylla has a short life-span, early sexual maturity, and high seedling production. This combination appears to be highly effective, because the species is widely distributed geographically with many populations. In contrast, S. pulcherrima and S. baetica have longer life-spans, delayed sexual maturity, and lower production of seedlings. The low recruitment rate in these two species is offset by a long life expectancy among reproductive individuals, although this strategy apparently limits their capacity for geographical expansion. The equilibrium growth rate (λ) varied markedly in S. enneaphylla populations (SE-1: λ = 0.570 for 19971998 to 19981999 and λ = 1.226 for 19981999 to 19992000; SE-2: λ = 0.832 for 19971998 to 19981999 and λ = 1.135 for 19981999 to 19992000) while in S. pulcherrima populations, λ was very close to 1 (SP-1: λ = 0.991 for 19971998 to 19981999 and λ = 0.969 for 19981999 to 19992000; SP-2: λ = 1.000 for 19971998 to 19981999 and λ = 1.101 for 19981999 to 19992000). In the S. baetica population, values varied between λ = 0.971 for 19971998 to 19981999 and λ = 1.345 for 19981999 to 19992000. In the three species, an elasticity analysis of matrix projection models revealed that the elements with the greatest effect on population growth were those of reproductive plants remaining within the same reproductive class. In addition, in S. enneaphylla, seedlings had important weight for population growth. The fact that the reproductive stages are the most critical to population growth should be taken into account where protective or conservation action is required.Key words: conservation, demography, endemism, Fumariaceae, Sarcocapnos, western Mediterranean basin.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".