Partitioning resources through the seasons: a test of the competitive ability – cold tolerance trade-off hypothesis in seasonally breeding beetles
Notice bibliographique
Résumé
Understanding the factors that maintain and constrain biodiversity and species coexistence is a major goal in ecology. Closely related species that use similar resources often differ in their seasonal patterns of activity, consistent with resource partitioning that is thought to facilitate coexistence. The factors that limit the distributions of these species across seasons, however, are unknown for the majority of species. In my second chapter, we conducted a large-scale survey of a diverse carrion beetle community in southeastern Ontario, Canada from April to October, and found evidence consistent with resource partitioning in Nicrophorus habitat generalists, but limited evidence for seasonal differences in abundance among habitat specialists. In my third chapter, we test one hypothesis that may explain seasonal differences in activity between two burying beetle species (Nicrophorus sayi, N. orbicollis) that co-occur, require carrion for food and reproduction, and differ in their seasonal patterns of activity. Specifically, we tested predictions of the competitive ability – cold tolerance trade-off hypothesis whereby adaptations to cold temperatures compromise competitive ability under warmer conditions, leading to the partitioning of resources along seasonal gradients. Consistent with our hypothesis, we found evidence that the late-season N. orbicollis is less able to function at the cold temperatures that characterize early spring, when the early-season N. sayi is most active. Contrary to our hypothesis, however, we found that the late-season N. orbicollis was not competitively dominant to the early-season N. sayi under warm conditions, but instead the larger beetle always won, regardless of species. Our survey data suggest that N. orbicollis is usually the larger species when competing for the same carrion later in the season, mostly because of its high abundance during this time. The larger size of N. orbicollis thus presents an intense competitive pressure that should limit N. sayi breeding later in the season. Overall, my thesis research provides evidence for seasonal partitioning of resources and the factors that constrain the seasonal distributions of two species. My work further suggests that seasonal partitioning of resources may contribute to maintaining local diversity within a diverse community of carrion beetles.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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 | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».