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Feeding habits of the lizard Tropidurus hispidus (Spix, 1825) (Tropiduridae) in a transitional Caatinga-Rocky Field Habitat in Northeastern Brazil

2025· article· en· W4411642200 on OpenAlexfundno aff
Vanderlaine Amaral de Menezes, Vanessa Amaral, Angélica Figueira Fontes, Monique Van Sluys, Carlos Frederico Duarte Rocha

Bibliographic record

VenuePapéis Avulsos de Zoologia · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
FundersFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroMinistério da Ciência, Tecnologia e InovaçãoUniversidade do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e TecnológicoCanadian Foundation for Dietetic Research
KeywordsLizardHabitatEcologyGeographyBiology

Abstract

fetched live from OpenAlex

We investigated the diet of the endemic Tropidurid lizard Tropidurus hispidus in a Caatinga (the semiarid biome in Northeastern Brazil) area of Morro do Chapéu, BA, Brazil. Lizards (n = 20) were collected and euthanized. In the laboratory, stomach contents were removed, analyzed and classified by order, excepting for plant material. We then correlated the lizards’ morphological characteristics with the number, volume (in mm³), and the prey-size of the items. All lizards contained food items in their stomachs, encompassing a mix of arthropods, plant material, and a portion of vertebrate remains. The lizard’s diet featured a significant amount of plant material, comprising 50.1% in terms of number and 45.8% volumetrically. Among the diet items, flowers (63.6%), ants (47.0%), and beetles (33.0%) were the most frequent. The diet composition was found to be similar among males and females. There was no correlation between the morphological characteristics of T. hispidus and the number, length, or volume of the ingested prey items. Our data showed that T. hispidus in the Morro do Chapéu region is omnivorous and that plant material and hymenopteran and coleopteran insects are predominant in its diet.

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 score0.018
Threshold uncertainty score0.609

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 head0.005
GPT teacher head0.229
Teacher spread0.223 · 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
Published2025
Admission routes1
Has abstractyes

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