Ecology and Taxonomy of Necrophilous Arthropods in Central Alberta
Notice bibliographique
Résumé
Dead animals of different species have distinct chemical compositions, habitats, body sizes, and physical structures, all of which impact the arthropod species that use them as resources. Arthropods also make use of these carcasses in distinct ways: some feed on the carrion directly, others hunt for prey in it, and others are phoretic or parasitic on the larger arthropods found there. Despite this diversity, our understanding of carrion and the biology and taxonomy of the organisms found on it is highly skewed towards the subset of species with forensic importance. My research attempts to correct this skew by focusing on the invertebrates found on small animal carrion. First, I tested whether species-level differences in vertebrate flesh lead arthropods to prefer some carcass types over others. This study consisted of a series of pitfall traps baited with small dead animals that were set throughout Central Alberta from May to September of 2023. ~6,000 insect specimens from ~70 different species were collected, and sorted into guilds based on how they make use of carrion. The species and guilds of insects collected using each type of bait were analyzed using the IndVal method to determine if they were indicators of any of the carrion types. The results indicate that most species are generalists, but that a few show preferences. Most notably, a preference for bird carrion was found in burying beetles in the genus Nicrophorus, which may help them locate carcasses small enough to bury. Next, I created a thoroughly illustrated identification key for all North American species of the staphylinid subfamily Silphinae, better known as carrion and burying beetles. These are large and conspicuous scavengers that can be found on dead animals throughout North America. Most species can be identified from a single dorsal photo, making them ideal for research using citizen science data. This photographic key aims to help researchers and the public identify these beetles, to summarize basic information on each species, and to raise awareness of taxonomic changes and species introductions that have occurred since older keys were published. I also provide suggestions for collecting and preserving carrion beetles. My last goal was to investigate cryptic taxonomy in phoretic mites of the genus Poecilochirus found on burying beetles. While many recent studies have found genetic diversity within this group that strongly suggest the existence of undescribed species, morphological analyses (especially of adults) are sorely lacking. I integrated DNA and morphology by rearing mite specimens to adulthood, using non-destructive DNA extraction techniques and then slide-mounting the specimens to examine their morphology. My results show consistent morphological differences between two previously identified genetic clusters, indicating that they are, in fact, different species.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».