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Record W2946178717

Estructura poblacional y distribución de Magnolia cubensis subsp. acunae (Magnoliaceae) / Population structure and distribution of Magnolia cubensis subsp. acunae (Magnoliaceae)

2018· article· es· W2946178717 on OpenAlexaff
Alejandro Palmarola, Luis Ignacio González‐Granado, Ernesto Testé, Majela Hernández Rodríguez, Norlys Albelo, Luis Roberto González-Torres

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsWildlife Conservation Society Canada
Fundersnot available
KeywordsMagnoliaceaePopulationBiologyPopulation structureBotanyMedicine
DOInot available

Abstract

fetched live from OpenAlex

RESUMEN\n\n\nLos estudios demográficos constituyen una valiosa y efectiva herramienta para conocer el estado de las poblaciones. En Magnolia cubensis subsp. acunae estos estudios permitirían la comprensión de procesos que describen la biología poblacional de esta subespecie, así como los factores que determinan su distribución, aspectos de gran importancia para la implementación de estrategias de conservación. Por ello, los objetivos del presente trabajo son: caracterizar la estructura poblacional de M. cubensis subsp. acunae y determinar su distribución geográfica. El trabajo fue realizado en el macizo montañoso Guamuhaya, Cuba central. Se realizó un censo poblacional y en cada individuo se midió la altura, el diámetro del tronco y se registraron sus coordenadas geográficas. La población contó con 486 individuos. La distribución de frecuencias de individuos por clases de altura y diámetro reflejó un patrón gaussiano. Se evidenció una baja representación de individuos en fase de regeneración natural. La subespecie ocupa un área de 25 600 m2 (0,0256 km²), de ellos 21 600 m² (0,0216 km²) corresponden a la subpoblación de Alturas de Trinidad y 4 000 m2 (0,004 km²) a la subpoblación de Alturas de Sancti Spíritus. La extensión de presencia fue de 102,90 km², la distancia entre subpoblaciones de 33,37 km y el área de ocupación de 0,0256 km².\n\nPalabras clave: áreas protegidas, arreglo espacial, censo poblacional, Cuba central, especies amenazadas, estructura etaria, Guamuhaya\n\nABSTRACT\n\nDemographic studies are a valuable and effective tool to know the status of populations. In Magnolia cubensis subsp. acunae these studies allow the understanding of the processes that describe the population biology of this subspecies, as well as the factors that determine their distribution, aspects of great importance for the implementation of conservation strategies. Therefore, the objectives of this work are: to characterize the population structure of M. cubensis subsp. acunae and determine their geographical distribution. The work was carried out in the Guamuhaya\nmountain massif, central Cuba. A population census was conducted and for each individuals height and trunk diameter were measurement and geographical coordinates were recorded. The population had 486 individuals. The distribution of frequencies of individuals by height and diameter classes reflected a Gaussian pattern. There was a low representation of individuals in the natural regeneration phase. The subspecies occupies an area of 25,600 m² (0.0256 km²), of which 21,600 m2 (0.0216 km²) corresponds to the subpopulation of Alturas de Trinidad and 4,000 m² (0.004 km²) to the subpopulation of Alturas de Sancti Spíritus. The extent of occurrence was 102.90 km², the distance between subpopulations of 33.37 km and the area of occupancy of 0.0256 km².\n\nKeywords: protected areas, spatial arrangement, population census, central Cuba, threatened species, age structure, Guamuhaya\n\nRecibido: septiembre 2018 Aceptado: noviembre 2018\n\nPublicado online 30 de diciembre de 2018. ISSN 2410-5546 RNPS 2372 (DIGITAL) - ISSN 0253-5696 RNPS 0060 (IMPRESA)

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)0.000
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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.082
GPT teacher head0.443
Teacher spread0.361 · 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".

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Citations0
Published2018
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