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Record W3170598090 · doi:10.1071/pc21012

Evaluating the effects of the invasive cane toad (Rhinella marina) on island biodiversity, focusing on the Philippines

2021· article· en· W3170598090 on OpenAlexaff
Jeffrey A. Harvey, Priyanka Ambavane, Mark Williamson, Arvin C. Diesmos

Bibliographic record

VenuePacific Conservation Biology · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsTrent University
Fundersnot available
KeywordsEcologyMainlandInvasive speciesPredationIntroduced speciesFaunaCaneRange (aeronautics)BiologyEndemismHerbivoreGeography

Abstract

fetched live from OpenAlex

The negative ecological impacts of invasive species are well documented, although their effects are often more pronounced on islands than on the mainland. This is because many island species exhibit high degrees of endemism, have small geographic distributions, are rare, and exhibit low genetic diversity, which reduces their ability to respond to new emerging threats. One of the world’s most notorious invasive species is the cane toad (Rhinella marina), which is a voracious predator that is native to the neo-tropics but was intentionally introduced in the early 20th century to many warm regions and islands to control crop pests. Cane toads produce two kinds of toxins in neck glands that are often lethal to non-adapted predators in the invasive range. Although well-studied in Australia, their ecological impacts on many islands have received much less attention. Australia is the sixth largest country on Earth, so the effects of cane toads on small island nations may differ considerably from there. Here, we discuss the potential ecological impacts of cane toads in the Philippines and on other island nations. Cane toads were introduced onto the largest Philippine island, Luzon, in 1930 and have since spread over all but a few of the 7641 islands that make up the country. We speculate that, unlike most biological invasions with predators or herbivores where the ecological effects are strictly ‘top-down’, cane toads, by virtue of their biology and ecology, may have even more serious effects on island fauna because they exhibit both ‘top-down’ and ‘bottom-up’ effects.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.100
GPT teacher head0.256
Teacher spread0.157 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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