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Record W4409794868 · doi:10.62791/20393

Conservation genetics and habitat occupancy modeling for the frosted elfin butterfly, Callophrys irus

2024· dissertation· en· W4409794868 on OpenAlexaboutno aff
Edward Remington Trowbridge

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsOccupancyButterflyGeographyHabitatEvolutionary biologyEcologyBiology

Abstract

fetched live from OpenAlex

Butterflies and moths are declining globally from a series of conservation threats including climate change, habitat loss and fragmentation, and pesticide use. The frosted elfin butterfly, Callophrys irus, is a rare Lycaenid butterfly with isolated populations, many of which were presumed extirpated due to anthropogenic pressures. Historically, the range of C. irus extended from Ontario to Florida, and west to Texas and Wisconsin, with three subspecies described based on morphological differences. Host plant use for oviposition or as a larval food source varies across the range, with populations using either indigo (Baptisia spp.) or lupine (Lupinus spp.). Previous research had been at local scales, with no multi-state assessments of the population structure, subspecies differentiation, or core habitat components performed. The reported C. irus arsace subspecies, historically restricted to coastal regions of the South (Carolinas and Virginia), had not been observed in over two decades or evaluated genetically or systematically. Working with state and federal agencies, field surveys and non-lethal genetic sampling of frosted elfin was done for both indigo and lupine populations across 11 states on the East Coast. Field surveys in 2019 and 2021 recorded the presence of C. irus across multiple visits as well as habitat data (shrub cover, host plant count, etc.). Using this survey data, a habitat occupancy model was constructed to identify habitat factors that contributed to frosted elfin presence. The most significant predictor of frosted elfin occupancy was the total habitat patch area. The habitat area of the sites ranged from 0.0015 – 10 hectares, the median habitat area among all occupied patches was 1.31 hectares, and C. irus occupancy was predicted to increase by 7% for each additional hectare of habitat area available. Abundance of host plants was strongly correlated with habitat area, suggesting both factors should be considered in management plans. Non-lethal modern tissue samples collected in 2021 and 2022, and samples from preserved specimens in museum and private collections were obtained for genetic analysis. No extant populations within the historical range of C. irus arsace were found in the field survey effort, so this reported subspecies was represented only by preserved specimens. DNA was isolated from samples, with mitochondrial gene cytochrome c oxidase subunit I (COI) and the nuclear gene elongation factor one alpha (EF1α) amplified using polymerase chain reaction (PCR). Amplicons were Sanger sequenced and data were combined with available sequences from GenBank. Genetic differentiation was assessed by conducting haplotype analyses, constructing phylogenetic relationships, and conducting an analysis of molecular variation. There was no genetic evidence that the reported C. irus arsace subspecies was genetically distinct from C. irus irus. Haplotype and phylogenetic analyses identified subtle geographic clustering, particularly in mitochondrial DNA, with unique haplotypes in the far northern, southern, and western parts of the range. No host plant associated genetic differentiation was observed to distinguish indigo-specialized from lupine-specialized populations. These results represent the first range-wide genetic analysis of frosted elfin population structure and evaluation of key habitat covariates. The implications for management from our habitat occupancy model are straightforward and highly applicable. To improve the probability of frosted elfin occupancy, more managed pine barren habitat with more host plants is needed. The overall lack of genetic structure indicates that, if efforts remain as regionally local as possible, translocation or reintroduction of frosted elfin could result in established populations with regionally representative genetic diversity. Further, by combining this knowledge with the results of adjacent habitat occupancy model work, better habitat resources can be provided to frosted elfin butterflies before and as they establish in new locations. Thus, this research can contribute to future conservation efforts for the frosted elfin.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.273
Teacher spread0.251 · 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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