ECOLOGICAL CONSEQUENCES OF INTRASPECIFIC VARIATION IN ENERGY ALLOCATION PATTERNS IN COLUMBIAN GROUND SQUIRRELS (UROCITELLUS COLUMBIANUS)
Notice bibliographique
Résumé
Energy is a temporally and spatially limited resource, often regarded as the currency or the “fire of life”. In highly seasonal environments with fluctuating food availability and climatic conditions, individuals must carefully match energy acquisition, allocation, and the timing of energy demanding activities to maximize fitness. However, considerable intraspecific variation exists in how energy is acquired and used, as well as in the timing of costly activities such as reproduction and growth. Hibernating mammals are a unique system to study how intraspecific variation in energetics and phenological traits influences life history, as their brief active season requires them to obtain enough energy for reproduction, growth, and overwinter survival within a limited period. Columbian ground squirrels (Urocitellus columbianus) have a short active season of 3-4 months, during which adults must meet the energy demands of breeding, moulting, survival, and fattening prior to hibernation. Females finance reproduction primarily through daily income (by increasing their foraging rate), but also rely on capital resources (through endogenous fat stores), likely beginning the season with varying amounts of fat stores, which could influence how they allocate their energy throughout reproduction. In contrast, juveniles have an active season of only 1.5 to 2 months, likely facing energetic trade-offs between investing in structural growth and accumulating sufficient fat reserves to survive hibernation. In this thesis, I investigated how intraspecific variation in energetic (e.g., metabolic rates, body composition) and phenological traits (e.g., timing of parturition) in Columbian ground squirrels influences key life history traits, such as female reproductive output, juvenile growth, and survival. To do so, I used a multi-disciplinary approach that combined long-term ecological data, as well as physiological measurements, and targeted food supplementation. I found that different life history traits within the same system may support different models of energy allocation. The positive and significant associations between resting metabolic rate (RMR), daily energy expenditure (DEE), and reproductive output during lactation aligned with the predictions of the performance model, whereas the lack of a significant association between RMR and post-weaning growth aligned more closely with the predictions of the independent model of energy allocation. Additionally, I found that even slight differences in parturition timing significantly influenced juvenile body mass and growth trajectories. While females did not compensate for late breeding by increasing juvenile body mass at birth, they did show compensatory adjustments during lactation, resulting in higher body masses at weaning for late-born offspring. However, late born juveniles did not exhibit compensatory growth after weaning, nor did they extend their growth period which may underlie the decline in annual fitness among late emerging females reported in previous studies. The supplemental food treatment significantly influenced energy allocation on both reproductive females and juveniles. For females, it increased capital resources before reproduction, leading them to rely more on fat stores during gestation. In juveniles, the treatment enhanced post-weaning growth rates, extended growth duration, increased asymptotic body mass, and enhanced fat accumulation. Overall, this research advances our understanding of energy use and allocation in wild mammals, providing valuable insights into how environmental factors (such as resource availability), maternal investment, and metabolic rates contribute to intraspecific variation in life history traits.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| 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 ».