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Record W6947996391 · doi:10.48549/5633

Darwin wasp fossil diversity and their fate during the K-Pg mass extinction

2024· dissertation· en· W6947996391 on OpenAlexaboutno aff

Bibliographic record

VenueBORIS Theses (Bern Open Research Information System) (Bern University Library, Hochschulstrasse 6, 3012 Bern, Switzerland) · 2024
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBanana Cultivation and Research
Canadian institutionsnot available
Fundersnot available
KeywordsExtant taxonTaxonFossil RecordExtinction eventDarwin (ADL)Extinction (optical mineralogy)Paleogene

Abstract

fetched live from OpenAlex

The objective of this thesis was to investigate the fossil species diversity of Darwin wasps, ranging from the Paleogene to the Cretaceous, with a particular emphasis on their morphology and taxonomic placement. On a broader scale, I aimed to create a morphological and molecular dataset including extant and fossil ichneumonids, to assess if they were impacted by the last catastrophic mass extinction event of the K-Pg and to create the first dated phylogeny of the family including all extant and fossil subfamilies. Here I provide a short general overview of my thesis, which includes six chapters, followed by a one-page summary for each chapter. Through extensive collaboration with curators from various palaeontological collections, I obtained and analyzed significant fossil material from seven fossil localities (Dominican amber, Calcaires de Campagne-Calavon Formation, Baltic amber, Fur Formation, Oise amber, Canadian amber, Taimyr amber). In this thesis, I described 7 new genera and 15 new fossil species (Chapters 1–5), of which many were described as the first finds of their respective subfamilies in amber. Notably, I described four fossil species of Phygadeuontinae, a subfamily that is among the most abundant today and the most frequently recorded in Baltic amber. However, prior to my work, no Phygadeuontinae fossil had been described from amber. I evaluated the morphology of the new fossil species to greatly enhance our understanding of the Darwin wasps' ancient diversity. By doing this I extensively expanded our morphological dataset and taxon sampling. In chapter 1, I described two specimens, and revised another one from Oise amber, which are especially valuable because they are well preserved and are from a fossil locality with an age of 53 million years, belonging to a time interval from which very few fossil insect species are described. In chapters 2 and 4, I evaluated the shape of the wing venation of sediment fossils using geometric morphometrics to determine subfamily-specific and tribe-specific characteristics. These characteristics were later implemented as new characters and character states in the morphological matrix. With the fore and hind wing shape data, I provide a dataset that can be used to increase the certainty of taxonomic placement in fossil specimens, as demonstrated in both chapters. In chapter 3, I used micro-CT scans of amber specimen, to increase the accessibility of morphological details, improving fossil placement in an undated combined morphological and molecular analysis. Those specimens are among the best-coded taxa in the final dataset, which I assume positively impacts the final analysis. In chapter 5, I evaluate taphonomic influences in Baltic amber specimens and discuss the evidence found in the amber, including the fossils' morphology, their state of preservation, and their body position, to hypothesize about the species' ecology and probable cause of death. In this chapter we used micro-CT scans again to improve the interpretation of morphology, aiding our understanding of taphonomic influences. The expansion of our morphological matrix resulted in 264 morphological characters. Including the newly described species, I morphologically coded 22 Cenozoic fossils, 17 Mesozoic fossils, and 117 extant taxa, covering all extant and fossil subfamilies, and combined this data with a previous matrix that has been compiled by Spasojevic et al. (2021). Using this data, combined with conserved genomic regions called Ultra-Conserved Elements (UCE), I conducted a total-evidence dating analysis under the FBD model in chapter 6. In this final chapter, we explored the challenges in estimating the impact of the Cretaceous-Paleogene (K-Pg) mass extinction event on Darwin wasps. Although we did not detect an impact on Darwin wasps and found that some estimated ages were too young, we explore the challenges of the model assumptions in detail and discuss potential improvements to the model setup to overcome these issues. Given that this is the first study using the FBD prior under TED in such a hyperdiverse and very sparsely sampled insect group, it is understandable that achieving precise results is a work in progress.

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.258
Teacher spread0.211 · 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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