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Record W2888734558 · doi:10.1111/acv.12444

Native fly parasites are the principal cause of nestling mortality in endangered Tasmanian pardalotes

2018· article· en· W2888734558 on OpenAlexfundno aff
Amanda B. Edworthy, Naomi E. Langmore, Robert Heinsohn

Bibliographic record

VenueAnimal Conservation · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaEcological Society of AustraliaHolsworth Wildlife Research EndowmentBirdLife AustraliaAustralian National UniversitySigma XiaAustralian Academy of Science
KeywordsBiologySympatric speciationEndangered speciesHost (biology)EcologyZoologyPopulationHabitatDemography

Abstract

fetched live from OpenAlex

Abstract Established host–parasite interactions at an evolutionary equilibrium are not predicted to result in host population decline. However, parasites may become a major threat to host species weakened by other factors such as habitat degradation or loss of genetic diversity in small populations. We investigate an unusually virulent Tasmanian ectoparasite, Passeromyia longicornis , in its long‐term hosts, the endangered forty‐spotted pardalote ( Pardalotus quadragintus ) and striated pardalote ( Pardalotus striatus ) in southeastern Tasmania, Australia. We conducted a parasite elimination experiment to determine the net effect of parasites on forty‐spotted pardalote nestling mortality, and monitored nestling parasite load and mortality in forty‐spotted and striated pardalote nestlings during two breeding seasons (Aug–Jan, 2013–2015). Passeromyia longicornis larvae killed 81% of all forty‐spotted pardalotes nestlings. Across 2 years, forty‐spotted pardalotes fledged fewer nestlings (18%) than sympatric striated pardalotes (26%), and this difference was generated by a combination of higher parasite load and virulence in forty‐spotted pardalote nests. These results show that native ectoparasites can cause substantial and potentially unsustainable mortality in their hosts.

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 score0.015
Threshold uncertainty score0.355

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 studies0.0000.001
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 head0.055
GPT teacher head0.321
Teacher spread0.266 · 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

Citations22
Published2018
Admission routes1
Has abstractyes

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