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Record W7117454218 · doi:10.1186/s40462-025-00610-0

Fast food: GPS tracking reveals behavior-specific habitat selection and cattle farm subsidies of three sympatric neotropical vulture species

2025· article· en· W7117454218 on OpenAlexfundno aff
Christopher Beirne, Enzo Basso, Eduardo Fabrizio Tubelli, Sarah Wicks, Eleanor Flatt, Diego Rolim Chulla, Rosio Vega Quispe, Caleb Jonatan Quispe Quispe, Flor M. Pérez Mullisaca, Sara Campos Landázuri, Priscila Peralta-Aguilar, Andrew Whitworth

Bibliographic record

VenueMovement Ecology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersBeijing Innovation Center for Future ChipInternational Conservation Fund of CanadaGordon and Betty Moore Foundation
KeywordsAnimal ecologyHabitatForagingSympatric speciationSelection (genetic algorithm)Disturbance (geology)Wildlife conservationLivestock

Abstract

fetched live from OpenAlex

Understanding species responses to anthropogenic disturbance is fundamental to ecology and conservation. However, behaviour and inter-individual variation in habitat selection can complicate our understanding of population-level responses to human disturbance, and the initiatives we design to address them. We use a dataset of 601,000 locations from 42 GPS tracked individuals of three sympatric species - king (n = 32), turkey (n = 5) and black vultures (n = 5) - in Costa Rica to explore behaviour-specific habitat selection in a mixed forest-agriculture landscape. We separate the movement data into three key behaviours (flight, feeding and roosting), and then compare their habitat selection preferences using a species-specific generalised mixed modelling framework. We find that the disturbance sensitive king vultures typically prefer mature forest to anthropogenically modified habitats when flying or roosting, however, the difference in relative strength of selection disappears in relation to feeding. These patterns likely reflect king vultures selecting to feed in agricultural landscapes where dead livestock such as cattle are abundant. We find strong evidence for individual heterogeneity in the degree to which they select for livestock pasture as feeding sites, suggesting repeatable individual-variation in foraging tactics. We also found a strong reduction in habitat selection for all behaviours as the distance to contiguous high-quality habitat increases, showing the reliance on tracts of contiguous mature forest for this species. In comparison, the disturbance tolerant species showed idiosyncratic responses to modified habitats, whereby black vultures selected mature forests for flight, but disturbed forest and grassland margins for feeding and roosting, and turkey vultures selected disturbed forest over mature forest and grassland margins for all movement behaviours. These findings represent the first GPS derived habitat selection study of king vultures, the apex obligate scavengers in lowland neotropical habitats and the first multispecies, guild-level, habitat selection analysis of vultures in the lowland neotropics. As expected, we find that king vultures have a stronger affinity to mature forests than their disturbance tolerant counterparts, however cattle farming is likely strongly subsidising some individuals' diets. Despite this, the marked reduction in king vulture habitat use with increasing distances from contiguous mature forests suggests the existence of a disturbance threshold, whereby the carrying capacity of king vulture populations may be reduced in highly anthropogenically modified landscapes.

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 score0.020
Threshold uncertainty score1.000

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)0.0010.000

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 head0.227
Teacher spread0.212 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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