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Record W1979437213 · doi:10.1071/wr08165

Shedding new light on old species identifications: morphological and genetic evidence suggest a need for conservation status review of the critically endangered bat, Saccolaimus saccolaimus

2009· article· en· W1979437213 on OpenAlex
D. Milne, Felicity C. Jackling, Manpreet Singh Sidhu, Belinda Appleton

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWildlife Research · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsDepartment of Environment and Conservation
Fundersnot available
KeywordsThreatened speciesEndangered speciesCritically endangeredBiologyBiodiversityConservation statusWildlife conservationWildlifeEcologySpecies complexConservation geneticsMicrosatellite

Abstract

fetched live from OpenAlex

Information based on the accurate identification of species is a vital component for achieving successful outcomes of biodiversity conservation and management. It is difficult to manage species that are poorly known or that are misidentified with other similar species. This is particularly problematic for rare and threatened species. Species that are listed under endangered species classification schemes need to be identified accurately and categorised correctly so that conservation efforts are appropriately allocated. In Australia, the emballonurid Saccolaimus saccolaimus is currently listed as ‘Critically Endangered’. On the basis of new observations and existing museum specimens, we used a combination of genetic (mitochondrial DNA sequence) and morphological (pelage characteristics, dig III : phalanx I length ratio, inter-upper canine distance) analyses to identify six new geographic records for S. saccolaimus, comprising ~100 individuals. Our analyses also suggested that there are likely to be more records in museum collections misidentified as S. flaviventris specimens. The external morphological similarities to S. flaviventris were addressed and genetic, morphological and echolocation analyses were used in an attempt to provide diagnostic characters that can be used to readily identify the two species in the field. We recommend genetic testing of all museum specimens of Australian Saccolaimus to clarify species’ distributions and provide data for reassessing the conservation status for both S. saccolaimus and S. flaviventris. Museum curators, taxonomists and wildlife managers need to be aware of potential species misidentifications, both in the field and laboratory. Misidentifications that result in misclassification of both threatened and non-threatened species can have significant implications.

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.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.686
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.116
GPT teacher head0.351
Teacher spread0.235 · 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