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Record W2562354946 · doi:10.58843/ornneo.v26i3.57

VARIATION IN FORAGING STRATEGY WITH FOREST AGE FOR THE BLACK-CROWNED ANTSHRIKE (THAMNOPHILUS ATRINUCHA)

2016· article· en· W2562354946 on OpenAlexafffund
Devin R. de Zwaan, Bernard D. Roitberg

Bibliographic record

VenueOrnitología Neotropical · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaSmithsonian Tropical Research InstituteSmithsonian Institution
KeywordsForagingInsectivoreEcologyBiologyPredationUnderstorySecondary forestCanopy

Abstract

fetched live from OpenAlex

Rapid deforestation leads to loss and degradation of avian habitat. Reforestation and natural regeneration create secondary forests that may play an important role in maintaining avian biodiversity. In the tropics, many understory insectivores are absent from secondary forests; however the mechanisms responsible for this pattern are unknown. Differences in foraging behavior can be used to identify changes to the insect community, which may contribute to this pattern. We investigated foraging behavior in a common understory insectivore, the Black-crowned Antshrike (Thamnophilus atrinucha), across three forest-age groups to test the hypothesis that insect (prey) communities differ with forest age. We observed no difference in attack or foraging success rates by Black-crowned Antshrikes, suggesting equal foraging effort during focal observations. However, individuals consumed less high-quality (large) prey in secondary forest. Additionally, foraging range shifted downwards from 8.5 ± 1.3 m to 4.5 ± 0.6 m and was compressed horizontally in secondary forests, reducing inter-vegetation movement during foraging bouts. We suggest that this provides indirect support for a change in the insect community across forest ages. Black-crowned Antshrikes appear flexible in their foraging strategies; an ability that may not be shared by other species. However, reduced biomass consumption coupled with constant attack/success rates suggest individuals are performing poorly in young forest. Further research should investigate the generality of this pattern and the capacity for flexible foraging strategies in other avian species.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.267

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)0.0000.000

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 head0.013
GPT teacher head0.224
Teacher spread0.210 · 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.

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".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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