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Assessing adaptive winter behaviors of beneficial arthropods, with a focus on the long-distance migratory ecology of Nearctic hover flies (Diptera: Syrphidae)

2021· dissertation· en· W7008252556 sur OpenAlexaboutno aff

Notice bibliographique

RevueIDEALS (University of Illinois Urbana-Champaign) · 2021
Typedissertation
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueDiptera species taxonomy and behavior
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNearctic ecozoneOverwinteringDiapauseAbundance (ecology)Generalist and specialist speciesBehavioral ecologyPollinatorArthropodTemperate climate
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Temperate climates present significant challenges for many insects. During the winter, insects are met with freezing temperatures and lack of resources that are normally accessible during warmer months. Consequently, insects have evolved behavioral and physiological strategies for surviving winter. Some seek refugia and enter a state of diapause as eggs, larvae, pupae, and/or adults, while others may migrate to more favorable locations. In this dissertation, I examine several aspects of winter survival among beneficial predacious, parasitic, and pollinating arthropods. Chapters 1 and 2 are focused on the long-distance migratory ecology of Nearctic hover flies (Diptera: Syrphinae), while Chapter 3 examines the effects of field borders on arthropod natural enemy communities. \nSyrphid hover flies of the subfamily Syrphinae are an important group of arthropods. Adults are pollinators for a variety of crop and non-crop plant species, while larvae act as biological control agents for major crop pests such as aphids. Despite these benefits, major aspects of their life histories remain unknown, especially for taxa outside of Europe. For example, while several Palearctic hover fly species are known to migrate, this behavior is almost entirely unresearched in Nearctic hover flies. \nIn Chapter 1, I examine evidence and mechanisms of migration among four hover fly species (Allograpta obliqua, Eupeodes americanus, Syrphus rectus, and Syrphus ribesii) common throughout eastern North America using a novel combination of stable hydrogen isotope (δ2H) analyses, morphological assessments, abundance estimations, and cold-tolerance assays. Non-local δ2H values obtained from hover fly specimens collected in central Illinois support the existence of long-distance fall migratory behavior among Eu. americanus and to a lesser extent S. rectus and S. ribesii. Elevated abundance of Eu. americanus during the expected autumn migratory time period further supports the existence of such behavior. Moreover, morphological analyses suggest that migratory Eu. americanus may exhibit a unique suite of morphological traits that decrease costs associated with long-distance flight. Finally, compared to the ostensibly non-migratory A. obliqua, Eu. americanus was significantly less cold-tolerant, a factor that may be related to migratory behavior. In Chapter 2, I examined how far these hover flies travel by assessing natal origins of the migratory Eu. americanus and non-migratory A. obliqua collected in northern Alabama. I built hover fly δ2H isoscapes using a calibration algorithm of water and hover fly tissues. I then used these isoscapes to assign grouped natal origins of hover flies using an IsoriX workflow. Consistent with Chapter 1, Eu. americanus was highly migratory whereas A. obliqua was mostly non-migratory. Several Eu. americanus specimens were estimated to have traveled between 1,000 and 3,000 km from the midwestern United States and Canada to Alabama.\nIn Chapter 3, I examined the capacity of semi-natural field borders to support overwintering predacious and parasitic arthropods. Semi-natural field borders are frequently used in midwestern U.S. sustainable agriculture. These habitats are meant to help diversify otherwise monocultural landscapes and provision them with ecosystem services, including biological control. Predatory and parasitic arthropods (i.e., potential natural enemies) often flourish in these habitats and may move into crops to help control pests. However, detailed information on the capacity of semi-natural field borders for providing overwintering refuge for these arthropods is poorly understood. In this study, I used soil emergence tents to characterize potential natural enemy communities (i.e., predacious beetles, wasps, spiders, and other arthropods) overwintering in cultivated organic crop fields and adjacent field borders. I found higher abundance, greater species richness, and a distinct community composition of predatory and parasitic arthropods in field borders compared to communities in arable crop fields, which were generally poorly suited as overwintering habitat. Furthermore, potential natural enemies tended to be positively associated with forb cover and negatively associated with grass cover, suggesting that grassy field borders with less forb cover are less suitable as winter refugia. These results demonstrate that semi-natural habitats such as field borders can act as a source for many natural enemies on a year-to-year basis and are important for conserving arthropod diversity in agricultural landscapes.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,019
Tête enseignante GPT0,210
Écart entre enseignants0,190 · 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
Publié2021
Routes d'admission1
Résumé présentoui

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