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Enregistrement W4409794868 · doi:10.62791/20393

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

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

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueLepidoptera: Biology and Taxonomy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOccupancyButterflyGeographyHabitatEvolutionary biologyEcologyBiology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,060
Score d'incertitude au seuil0,119

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0020,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,273
Écart entre enseignants0,251 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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