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Record W2768701328 · doi:10.13034/jsst.v10i2.216

The influence of non-salamander heterospecifics on the demography and abundance of Red-Backed Salamanders (Plethodon cinereus) in the Credit River Watershed

2017· article· en· W2768701328 on OpenAlexvenueno aff
Stephanie Elizabeth May Varty

Bibliographic record

VenueJournal of Student Science and Technology · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
Fundersnot available
KeywordsEcologySalamanderAbundance (ecology)Interspecific competitionBiologyIntraspecific competitionJuvenileGeography

Abstract

fetched live from OpenAlex

Red-backed Salamanders (Plethodon cinereus) are widely used as a biological indicator of terrestrial ecosystem health in North America due to their large range, potentially high biomass and large influence on ecosystem regulation. Monitoring projects often overlook the potential influence of intraspecific interactions and how Red-backed Salamander (RBS) abundance and demographics can be affected by symbiotic relationships. The adult to juvenile ratio was explored in relation to presence of ants, tunneling, number of small and large burrows. It was found that between 2011-2015 there was a significant increase in small and large burrows. It was found that ants, small burrows and large burrows were significantly related to both maximum salamander counts and adult-juvenile ratios. The relationship between both abundance and demographics with ants showed a negative relationship, while small and large burrows had a positive relationship. Tunneling was found to have no statistical significance (Table 1, Table 2). These results highlight the importance of considering biotic interactions when analyzing indicator species populations. Future steps should include determining how both biotic and abiotic properties interact to influence RBS populations and determining what type of interspecific interactions are occurring under cover boards via controlled experiments.Les salamandres cendrées (Plethodon cinereus) sont largement utilisées comme des indicateurs biologiques de la santé des écosystèmes terrestres en Amérique du Nord, en raison de leur portée vaste, de leur biomasse potentiellement élevée et de leur influence importante au niveau de la régulation des écosystèmes. Les projets de surveillance négligent souvent l’influence potentielle des interactions intraspécifiques, ainsi que la façon dont les relations symbiotiques peuvent affecter l’abondance et la démographie de la salamandre cendrée (SC). L’abondance de la SC et le rapport entre le nombre d’adultes et de jeunes ont été explorés en relation avec la présence de fourmis, de leurs tunnels et du nombre de petits et grands terriers. On a déterminé qu’entre 2011 et 2015, il y a eu une augmentation importante du nombre de petits et grands terriers et que la présence de fourmis, de petits et grands terriers était fortement liée au nombre maximal de salamandres et aux rapports adultes-jeunes. Les rapports trouvés entre la présence de fourmis, l’abondance de la SC et la démographie de l’espèce ont présenté une corrélation négative, alors que la présence de petits et grands terriers a présenté une corrélation positive. L’excavation des tunnels n’avait pas d’importance statistique (Tableau 1, tableau 2). Ces résultats soulignent l’importance de considérer les interactions biotiques lors de l’analyse des populations d’espèces indicatrices. Les prochaines étapes devraient inclure l’identification de la façon dont les propriétés biotiques et abiotiques interagissent pour influencer les populations de la SC et de déterminer quels types d’interactions interspécifiques se produisent sous le couvert des expériences contrôlées.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.953
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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