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Record W2948293773 · doi:10.1111/jofo.12290

Apparent survival of tropical birds in a wet, premontane forest in Costa Rica

2019· article· en· W2948293773 on OpenAlexfundno aff
Elsie H. Shogren, Megan A. Jones, Brett K. Sandercock, W. Alice Boyle

Bibliographic record

VenueJournal of Field Ornithology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaWestern UniversityKansas State UniversityNational Geographic SocietyNational Science Foundation
KeywordsContext (archaeology)EcologyGeographyTropical forestLife historyBiologyPopulationLife history theoryForestryDemography

Abstract

fetched live from OpenAlex

Despite the importance of tropical birds in the development of life history theory, we lack information about demographic rates and drivers of population dynamics for most species. We used a 7-year (2007–2013) capture-mark-recapture dataset from an exceptionally wet premontane forest at mid-elevation in Costa Rica to estimate apparent survival for seven species of tropical passerines. For four of these species, we provide the first published demographic parameters. Recapture probabilities ranged from 0.21 to 0.53, and annual estimates of apparent survival varied from 0.23 to 1.00. We also assessed the consequences of inter-annual variation in rainfall on demographic rates. Our results are consistent with inter-annual rainfall increasing estimates of apparent survival for two species and decreasing estimates for three species. For the three species where we could compare our estimates of apparent survival to estimates from drier regions, our estimates were not consistently higher or lower than those published previously. The temporal and spatial variability in demographic rates we document within and among species highlights the difficulties of generalizing life history characteristics across broad biogeographic gradients. Most importantly, this work emphasizes the context-specific role of precipitation in shaping tropical avian demographic rates and underscores the need for mechanistic studies of environmental drivers of tropical life histories. Factores que afectan la supervivencia aparente de aves tropicales en un bosque húmedo premontano A pesar de la importancia de las aves tropicales en el desarrollo de teorías de historia de vida, aún no entendemos bien los patrones o factores causales en la dinámica de poblaciones para la mayoría de las especies tropicales. Usamos datos de una comunidad de aves paseriformes del sotobosque, marcando y recapturando individuos por siete años (2007–2013) en un bosque premontano altamente pluvial en Costa Rica con el fin de estimar las tasas de supervivencia aparente. Pudimos modelar la supervivencia aparente para siete especies, proporcionando los primeros parámetros demográficos publicados para cuatro de ellas. Las probabilidades de recaptura varían entre 0.21 y 0.53 mientras que las tasas de supervivencia aparente varían entre 0.23 y 1.00. También, evaluamos la relación entre precipitación y tasas demográficas. Se relacionó con la variación interanual en la supervivencia aparente en modelos competitivos de cuatro especies, pero el efecto de la precipitación varió, siendo positivo en dos especies y negativo en tres especies. Más aun, nuestras estimaciones de supervivencia aparente fueron a la misma vez mayores y mucho más bajas que otras estimaciones de poblaciones que experimentan regímenes de precipitación diferentes. La variabilidad en las tasas demográficas entre especies y poblaciones que encontramos demuestra la dificultad de generalizar a través de gradientes biogeográficos. Aún más importante, este trabajo destaca, en un contexto específico, el papel de la precipitación en los cambios de las tasas demográficas en aves tropicales, y destaca la necesidad de conducir estudios mecánicos de los factores ambientales que impulsan las historias naturales en el trópico. Table S1. Cormack-Jolly-Seber model selection results for seven Neotropical bird species in Costa Rica. Fig. S1. Variation in sampling effort across years measured in number of hours a 12-m mist-net was open during the sampling event. Fig. S2. Variation in precipitation measured in millimeters during the biological year preceding sampling event (e.g., March 2007–February 2008). Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 categoriesInsufficient payload (model declined to judge)
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 score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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".

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Citations9
Published2019
Admission routes1
Has abstractyes

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