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Record W2901581542 · doi:10.58843/ornneo.v29i1.375

VOCALIZACIONES, SONIDOS MECÁNICOS Y DESPLIEGUES DEL ATAJACAMINOS ALA NEGRA (ELEOTHREPTUS ANOMALUS) EN ARGENTINA

2018· article· es· W2901581542 on OpenAlexaff
Néstor Fariña, Olga Villalba, Luís G. Pagano, Alejandro Bodrati, Kristina L. Cockle

Bibliographic record

VenueOrnitología Neotropical · 2018
Typearticle
Languagees
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesGeographyPhysicsArt

Abstract

fetched live from OpenAlex

Resumen ∙ El Atajacaminos Ala Negra (Eleothreptus anomalus) habita pastizales húmedos del Sur de Sudamérica y se lo considera “cercano a la amenaza” debido a su baja abundancia y pérdida de hábitat. El macho se caracteriza por alas extrañas, con forma de hacha, con las primarias curvadas hacia atrás y las secundarias sensiblemente más cortas, posiblemente una adaptación para producir sonidos mecánicos. Se especula que su sistema de apareamiento podría ser tipo lek, pero existe poca evidencia, no se han descripto sus despliegues y existe confusión sobre el origen y significado de sus sonidos. Aquí presentamos información sobre los sonidos y despliegues de E. anomalus en base a grabaciones y observaciones realizadas con una población marcada en Reserva Natural Rincón de Santa María, Corrientes, Argentina (RNRSM; 2009–2018) y observaciones adicionales en Barra Concepción, Misiones, Argentina (2003–2004). En los últimos 9 años observamos concentraciones de hasta 15 machos realizando despliegues en dos tramos de caminos elevados y poco transitados de la RNRSM, que consideramos arenas de despliegue, reforzando la idea de que se trata de un sistema lek. Encontramos cinco tipos de sonidos. 1) Hembras y machos realizan llamadas de contacto (series de "tik" o "tzk"; dos variaciones). 2) Machos realizan voces durante el comportamiento de exhibición en arenas de despliegue ("Trrrrrrrrrrr"; seis variaciones). 3) Machos posados en el suelo o en vuelo emiten trinos de baja frecuencia ("priIUpririririri"; tres variaciones). 4) Una hembra realizó una voz de llamada muy suave ("guaá-ku…”), posiblemente para contactarse con pichones. 5) Machos realizan sonidos mecánicos con las alas en las arenas de despliegue ("tuk" o "brrrt"; cuatro variaciones). Frente al avance humano sobre los pastizales del cono sur, es importante utilizar el conocimiento de estos sonidos para investigar otros aspectos de la historia natural como su biología reproductiva, distribución actual, movimientos estacionales, y efectos de fuego y otros disturbios en su hábitat y poblaciones.Abstract ∙ Vocalizations, mechanical sounds, and displays of the Sickle-winged Nightjar (Eleothreptus anomalus) in Argentina The Sickle-winged Nightjar (Eleothreptus anomalus) inhabits humid grasslands in southern South America and is considered “near threatened” because of its low abundance and habitat loss. The male is characterized by peculiar wings, shaped like an axe, with the primaries curved inward and the secondaries noticeably shorter, possibly an adaptation for producing mechanical sounds. It is speculated that its mating system is lek-like, with little evidence at present; its displays have not been described, and there is confusion about the origin and significance of its sounds. Here we contribute information about the sounds and displays of E. anomalus based on recordings and observations of a marked population at Reserva Natural Rincón de Santa María, Corrientes, Argentina (RNRSM; 2009–2018) and additional observations at Barra Concepción, Misiones, Argentina (2003–2004). In the last 9 years, we observed concentrations of up to 15 males displaying on two sections of elevated, little-used road in the RNRSM, which we consider display arenas, reinforcing the idea of a lek-mating system. We found five types of sounds. 1) Females and males make contact calls (series of "tik" o "tzk"; two variations). 2) Males vocalize during exhibition flights at display arenas ("Trrrrrrrrrrr"; six variations). 3) Males on the ground or in flight emit low-frequency trills ("priIUpririririri"; three variations). 4) A female emitted a very soft call ("guaá-ku…”), possibly to contact chicks. 5) Males make mechanical sounds with their wings at display arenas ("tuk" or "brrrt"; four variations). Considering how humans are advancing into the grasslands of the southern cone, it is important to use the knowledge of these sounds to investigate other aspects of natural history, such as reproductive biology, current distribution, seasonal movements, and effects of fire and other disturbance on habitat and populations.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.295
Teacher spread0.281 · 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 teacher head, not a consensus.

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

Citations6
Published2018
Admission routes1
Has abstractyes

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