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Record W3154191987 · doi:10.1101/2021.04.14.439368

Diet composition of reintroduced Red-and-Green Macaws ( <i>Ara chloropterus</i> ) reflects gradual adaption to life in the wild

2021· preprint· en· W3154191987 on OpenAlexaff
Noelia L. Volpe, Bettina Thalinger, Elisabet Vilacoba, Thomas Braukmann, Adrián S. Di Giacomo, Igor Berkunsky, Darío A. Lijtmaer, Dirk Steinke, Cecilia Kopuchian

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2021
Typepreprint
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyMacawSpecies richnessBiodiversityEcologyPopulationComposition (language)ZoologyDemography

Abstract

fetched live from OpenAlex

ABSTRACT Over the last two centuries, the Red-and-green Macaw ( Ara chloropterus ) has become locally extinct in Argentina. In an attempt to restore its key ecosystem functions as both disperser and regulator of large-seeded plants, a reintroduction project was initiated at the Iberá National Park in northeastern Argentina. The ability of released individuals to find food is crucial, in particular when working with captive-bred animals, as long-term establishment of a self-sustaining population depends on their short-term ability to exploit wild food sources. Monitoring of feeding habits is usually conducted through behavioral observation, but in recent years DNA metabarcoding has emerged as an alternative for obtaining highly resolved data on diet composition. In this study we use a combination of both techniques to characterize the breadth and composition of the reintroduced macaws’ diet. In addition, we evaluate the efficiency of both direct field observations and metabarcoding of feces as techniques to assess diet composition. Individuals fed on a variety of plant species ( n = 49) belonging to a broad phylogenetic spectrum (28 families). Dietary richness estimated by direct observation and metabarcoding was similar, though smaller than the combination of the two datasets as both techniques detected at least 15 species not recorded by the other method. While the total number of detected species was higher for observational data, the rate of species-detection per sampling day was higher for metabarcoding. These results suggest that a combination of both methods is required in order to obtain the most accurate account of the total diversity of the diet of a species. The ability of the reintroduced macaws to successfully exploit local food resources throughout the year indicates a good level of adjustment to the release site, an important step towards the creation of a stable, self-sustaining population of Red-and-green Macaws in Northern Argentina. RESUMEN En el transcurso de los últimos dos siglos, el Guacamayo Rojo ( Ara chloropterus ) se ha extinguido en la Argentina. Buscando recuperar su rol ecológico tanto de dispersor como de depredador de semillas de gran tamaño, se comenzó un proyecto de reintroducción de la especie en el Parque Nacional Iberá, en la región noreste del país. La capacidad para encontrar alimento por parte de los individuos liberados es crucial, particularmente cuando se trabaja con animales provenientes de condiciones de cautiverio, ya que el establecimiento de una población autosuficiente a largo plazo dependerá de la habilidad de éstos para explotar fuentes de alimento silvestre a corto plazo. El monitoreo de hábitos alimenticios se realiza usualmente a través de observaciones comportamentales. Sin embargo, en los últimos años la técnica del meta-código de barras de ADN ha surgido como una alternativa para la obtención de datos de composición dietaria con alto nivel de resolución. En este estudio, utilizamos una combinación de ambas técnicas para caracterizar la amplitud y composición de la dieta de los guacamayos reintroducidos. A su vez, evaluamos la eficiencia de la observación directa y el código de barras genético de heces como técnicas para evaluar la composición de la dieta. Los individuos se alimentaron de una amplia variedad de especies ( n = 49), abarcando un amplio espectro filogenético (28 familias). La riqueza dietaria estimada por observación directa y por meta-código de barras genético fue similar, aunque menor a la resultante de la combinación de todos los datos ya que ambas técnicas detectaron al menos 15 especies no registradas por el otro método. Mientras que el número total de especies detectadas fue mayor para los métodos observacionales, la tasa de detección de especies por día de muestreo fue mayor para el análisis genético. Estos resultados sugieren que una combinación de ambos métodos es necesaria para obtener la descripción más precisa posible de la diversidad dietaria total de una especie. La capacidad de los guacamayos reintroducidos para explotar recursos alimenticios locales a lo largo del año estaría indicando un buen nivel de adaptación al sitio de liberación, un paso muy importante hacia el establecimiento de una población de Guacamayo Rojo estable y autosuficiente en el norte de Argentina. Palabras clave Ara chloropterus , Conservación, Dieta, Frugivoría, Meta-código de barras, Guacamayo Rojo, Reintroducción, Ecología trófica LAY SUMMARY The Red-and-green Macaw reintroduction project aims to restore this species to Argentina, where it is locally extinct. To assess if reintroduced macaws are successfully adapting to life in the wild, we studied their foraging habits at the Iberá National Park. Their food consumption was observed visually, and their feces were analyzed with molecular methods for traces of the consumed plants. Macaws fed from a large diversity of food items, exhibiting a flexible diet which varied with fruit availability in different months. A combination of both methods was required to obtain the most accurate account of the total diversity of the diet of a species. The reintroduced macaws were able to successfully locate and exploit food resources throughout the year, indicating a good level of adjustment to the release site.

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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.017
GPT teacher head0.209
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".

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Citations0
Published2021
Admission routes1
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