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Record W7152936599

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

2021· article· W7152936599 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - East Tennessee State University (East Tennessee State University) · 2021
Typearticle
Language
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMammalPaleoecologyHerbivoreGray (unit)Vegetation (pathology)Climate change
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.006
Science and technology studies0.0040.003
Scholarly communication0.0010.005
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.184
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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