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Record W1534742338 · doi:10.1080/02723646.2013.809833

Variability in reproductive effort of a keystone species: age and height of branch establishment

2013· article· en· W1534742338 on OpenAlexaff
Taly Dawn Drezner

Bibliographic record

VenuePhysical Geography · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsYork University
Fundersnot available
KeywordsKeystone speciesAridBiologyEcosystemEcologyFaunaPopulationDemography

Abstract

fetched live from OpenAlex

Carnegiea gigantea (saguaro, Cactaceae) is a protected and keystone species in the Sonoran Desert upon which nearly all of the ecosystem’s fauna rely. Little is known about its branching habits, which are particularly important as branching is directly related to seed production. This study assessed the ages and heights of plants when branching commenced under four different environmental regimes. Significant variations were observed in the onset of branching across the populations by both age (78–139 years) and height (4.4–5.5 m), likely related to the interplay between summer precipitation (and thus growth rate) and winter precipitation, which increases branching in any given individual. In all four populations, branches developed from areoles that are themselves reproductive (past or present); i.e., the lower areoles that pre-date the start of reproduction do not appear to contribute to branch production. Further, unlike the wide range of ages at the start of branching, the delay between the start of fruiting and the production of branches appears to be relatively consistent across populations, hovering around a 30-year time lag. Of greatest concern is the advanced age (around 140 years) at which branching begins at the most marginal, arid site, which is around the same time that old-age mortality may set in for the species (generally), dramatically diminishing reproductive output in an already marginal population. If this keystone species declines in this already arid to hyper-arid environment, it would have dramatic and irreversible consequences for the fauna and the ecosystem in this region.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.206
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2013
Admission routes1
Has abstractyes

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