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2021-January-21-Tiny mammal teeth reveal ancient climates

2021· article· W7152936599 sur OpenAlexaboutno aff

Notice bibliographique

RevueDigital Commons - East Tennessee State University (East Tennessee State University) · 2021
Typearticle
Langue
DomaineEarth and Planetary Sciences
ThématiqueEvolution and Paleontology Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMammalPaleoecologyHerbivoreGray (unit)Vegetation (pathology)Climate change
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

JOHNSON CITY (January 21, 2021) – If you were planning a visit to Gray, Tennessee, five million years ago, you would want to dress like you were headed to Atlanta, Georgia, but pack rain gear like you would for Tampa, Florida. That’s according to an estimate of the ancient climate of the Gray Fossil Site, part of the results of a new study that uses fossil teeth to explore how climate has changed across North America over the past 37 million years. It might not seem obvious at first, but teeth are related to climate. In any given place, the shapes of herbivore teeth depend on the local vegetation, and the type of vegetation depends on the local climate. This kind of study, measuring body parts to understand environmental conditions, is called ecometrics. But before the researchers could estimate past climates, they needed a lot of information on how teeth and climate are connected today. Teeth and diet Partial small mammal jaws from the Gray Fossil Site. On the left is a fossil packrat (Neotoma) with a comparatively low tooth crown, and on the right is a fossil rabbit (Notolagus) with a much higher tooth crown. This study focused on the height of the tooth crown, which is related to an animal's diet. (Image Credit: Dr. Josh Samuels) The study was published in the journal Palaeogeography, Palaeoclimatology, and Palaeoecology by Julia Schap, an alumna of ETSU’s paleontology master’s degree program and currently a Ph.D. student at Georgia Tech, along with Drs. Josh Samuels and Andrew Joyner, both professors in the ETSU Department of Geosciences. “Data gathering was a pretty time-consuming aspect of the study,” says Schap. She and her coauthors started by randomly selecting 100 points across North America. For each point, they collected information on local climate (temperature and precipitation) and the types of teeth found in the resident small mammals (mainly rodents and rabbits). Tooth shape varies in many ways, but this study focused on the height of the tooth crown, the part of the tooth that projects into the mouth and is used for biting. Tooth crowns can be tall, short, or in between, and this is related to an animal’s diet. With all that data, they used statistical software to determine that teeth and climate have a strong relationship. So strong, in fact, that they were able to generate equations that could estimate climate, in terms of degrees of temperature or millimeters of rainfall, from measurements of local mammal teeth, such as the average crown height across species or the percentage of low-crowned vs. high-crowned species. Equipped with these equations, all they needed to estimate ancient climate was some fossilized small mammal teeth. “Previous ecometric work has focused on larger mammals,” Schap explains. “However, small mammals have relatively smaller home ranges, which allows for a more localized signal of climate.” Small species are also useful for studying environmental change over time, since “small mammals also show physical changes more quickly than larger mammals, sometimes millions of years quicker, because they have shorter lifespans and generation times.” In total, the authors calculated climate conditions for 73 fossil sites in over a dozen U.S. states, Canada, and Mexico, ranging from 37 million years old to less than one million years old. Altogether, these estimates reveal a trend of decreasing temperature and precipitation through time – the continent has grown cooler and drier – with various fluctuations along the way. These results match previous estimates determined using plant fossils and chemical analyses. This technique isn’t just useful for looking at climate trends over time, but also for understanding individual fossil sites. “For example, if the site is estimated to drop below freezing temperatures,” Schap says, “then you would better understand why so many freeze-tolerant plants are found there or why you don't have certain reptiles which cannot live in such cold temperatures.” It's a good match! The top two maps show temperature and precipitation data across North America. The bottom two maps show the same conditions estimated using only modern-day mammal teeth. It’s a good match! (Image Credit: Julia Schap) Among the fossil sites they examined was the Gray Fossil Site in East Tennessee, where excavations over the past 20 years have yielded plenty of small mammal teeth between 4.9-4.5 million years old. The team used those teeth to estimate a mean annual temperature of 16.8° C, similar to modern-day Atlanta, and an annual precipitation of 1343 mm, similar to modern-day Tampa. This warm and wet climate matches what ETSU paleontologists have predicted based on fossils of alligators and certain plants. “Quite often, interdisciplinary studies (utilizing data and methods from different fields) have the potential to improve our understanding of nature in ways that would not be possible otherwise,” says Samuels. “In this case, we used geospatial techniques to help analyze biological, paleontological, and climate data, which ended up yielding some new – and easily measured – proxies for past climate conditions.” One of the most exciting aspects of this method, the authors explain, is that it is pretty easy. Some other methods for estimating ancient climate conditions require sophisticated equipment and costly analyses. But with this method, all that is needed are a fossil site with a decent sample, 10 or more species, of small mammals’ teeth. “We hope that any fossil site with small mammal data will be able to input this information for their site and be able to easily estimate those climate variables for themselves,” says Schap. “Seeing how whole communities have physically adapted to a wide range of climates can help us better understand what to expect in future communities given modern climate change.” _______________ Study citation: Schap, J., J.X. Samuels, and T.A. Joyner. 2021. Ecometric estimation of present and past climate of North America using crown heights of rodents and lagomorphs. Palaeogeography, Palaeoclimatology, Palaeoecology, 562 (2021): 110144. https://doi.org/10.1016/j.palaeo.2020.110144 In the photo at the top of this page, Julia Schap (top left) presents an earlier version of this research at her ETSU Master’s thesis defense. She is joined by her two coauthors, Dr. Josh Samuels and Dr. Andrew Joyner (top right and bottom right) as well as Dr. Blaine Schubert (bottom left). (Image Credit: David Moscato) News release by David Moscato, science communication specialist, ETSU Gray Fossil Site and Museum.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,339
Score d'incertitude au seuil0,942

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,001
Communication savante0,0040,002
Science ouverte0,0010,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,3390,101

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 Opus0,016
Tête enseignante GPT0,184
Écart entre enseignants0,167 · 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.

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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