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Record W4396508821 · doi:10.22215/etd/2024-15902

Why Sound? Diversity and Evolution of Sonic Defences in Caterpillars

2024· dissertation· en· W4396508821 on OpenAlexaff
Melanie L. Low

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsCarleton University
Fundersnot available
KeywordsSound productionSound (geography)Convergent evolutionBiologyHuman echolocationDiversity (politics)Evolutionary biologyPhylogenetic treeCommunicationAcousticsPsychology

Abstract

fetched live from OpenAlex

Defensive sound production is widespread and highly diverse among insects, yet the specific functions and factors affecting its evolution are poorly understood. In this thesis, I have two overarching objectives. 1) I conduct a literature review on insect defence sounds and show that sounds have been reported in 12 insect orders with an enormous variety of sound-producing mechanisms, acoustic features, and proposed functions. Based on my review, I pose hypotheses and predictions to explain the diversity and evolution of sonic defences. 2) I study caterpillars of the Superfamily Bombycoidea (silk and hawk moths) to test some of these hypotheses using experimental and phylogenetic comparative methods. I do this in three stages. First, I document defensive responses of 44 species (33 previously untested), bringing the total number of tested Bombycoidea species in our database to 97. I show that 34/97 produce defence sounds. Second, I characterize different sound-producing mechanisms (clicking, chirping, whistling, and vocalizing), contributing new acoustic data for 13 previously unreported sound producers. Third, I use this information to develop and test hypotheses on how defence sounds evolved and function in Bombycoidea by mapping sound production onto a phylogeny that I constructed. Interestingly, the different sound-producing mechanisms occur in multiple distantly related groups, suggesting convergent evolution; yet, closely related species can differ in their sound-producing abilities or mechanisms. These results suggest there are important selective pressures for evolving defence sounds, and that these pressures could vary to produce different types of sounds. Using phylogenetic comparative methods, I explore possible factors to explain “why sound”. Two results stand out: body size (based on head capsules) and trade-offs with defensive secretions. I also found support for the hypothesis that short sounds (i.e., clicking and chirping) are aposematic in function because they correlate to the presence of chemical defences. Overall, this research offers valuable contributions to the study of insect defence sounds: I provide the first comprehensive review of this topic, establish a model system by characterizing sonic defences (and other responses) in Bombycoidea caterpillars, and provide support for key hypotheses on the evolutionary origins, selective pressures, and functions of these sounds.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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