Intra- and interspecific phenotypic variation in mammals and its effect on biodiversity under climate warming
Notice bibliographique
Résumé
Global average temperature is rapidly increasing and is currently the warmest it has been in the Northern Hemisphere over the past centuries, driving species to local extirpation or extinction, to shift their distributional range or to adapt locally to the warming climate. A given species' sensitivity to changes in its environment may be related with patterns and amount of variation in its phenotype. As such, a decrease in body size has been proposed as the third universal ecological response to global warming, following distributional shifts and changes in phenology. Across their geographic ranges, mammals are thought to vary in body size following Bergmann's rule, which predicts that populations within a species found at higher latitudes, or colder climates, are larger in size compared to populations occurring farther south in warmer temperatures. While Bergmann's rule is well supported by empirical data among mammals, there is more and more evidence for exceptions to the rule, with species either decreasing in size with latitude or displaying no apparent relation between latitude and size. The patterns of variation in various morphological traits (skull length, skull width, tooth row length, and body mass) of 17 small and midsize mammalian hosts of Lyme disease were analyzed to determine if body size variation occurred in a predictable manner through space and time at an interspecific and intraspecific level. Results suggest little evidence of a generalizable pattern supporting Bergmann's rule within and among species at both a broad spatial and temporal scale. The effect of latitude or time on each of the morphological traits studied were highly variable leading to three types of responses: increases in size, decreases in size, or no changes in size across space and time. Overall, size trends were detected more often in space than through time, as size variation in space was studied over a significantly larger temperature gradient than the recent change in temperature that occurred over the past 120 years. Additionally, large-bodied species were not more likely to conform to Bergmann's rule than small-bodied species, in contrast to what was previously reported in the literature; in fact, this study showed that small mammals were found to vary more in size with latitude or time than midsize mammals. Contrary to predictions, size trends related to cranial measurements were detected as more likely to conform to Bergmann's rule than body mass, indicating the importance of simultaneously comparing metrics in studies on body size variation across species' ranges. However, body mass was found to have increased amounts of trait variability compared to cranial measurements; along a latitudinal gradient, the direction and magnitude of the variability depended on the size category of the species. Climate change is expected to cause the mammalian hosts of Lyme disease to expand their geographic ranges northward, facilitating the establishment of the bacteria and tick populations in southern Canada. For the mammalian hosts of Lyme disease, studies on phenotypic variation can help determine which host species have an increased sensitivity to climate and should be integrated into future species distribution models to increase the model's predictive power. More accurate projections of a host species' future distributional shifts into southern Canada will help determine the human populations most at-risk for Lyme disease in the future.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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 ».