
NSF Org: |
EAR Division Of Earth Sciences |
Recipient: |
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Initial Amendment Date: | March 2, 2018 |
Latest Amendment Date: | February 7, 2024 |
Award Number: | 1760634 |
Award Instrument: | Standard Grant |
Program Manager: |
Yurena Yanes
yyanes@nsf.gov (703)292-0000 EAR Division Of Earth Sciences GEO Directorate for Geosciences |
Start Date: | April 15, 2018 |
End Date: | September 30, 2024 (Estimated) |
Total Intended Award Amount: | $54,059.00 |
Total Awarded Amount to Date: | $54,059.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
500 COLLEGE AVE SWARTHMORE PA US 19081-1390 (610)328-8000 |
Sponsor Congressional District: |
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Primary Place of Performance: |
500 College Ave Swarthmore PA US 19081-1390 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | Sedimentary Geo & Paleobiology |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.050 |
ABSTRACT
The Earth may be entering a modern extinction, on par with mass extinctions known from the geologic past. It appears that many long-lived groups are becoming threatened, even ones that have survived for millions of years. This is in contrast to the findings of previous studies of the fossil record, which have shown that older groups were generally less likely to go extinct. The only exception to this pattern is during periods of mass extinction. This project will compare modern and ancient extinctions to better understand extinction risk and threats to current biodiversity. The project also will provide research experience for undergraduate students and contribute to an outreach program for underserved middle school students.
Previous studies have compared the magnitude or rate of modern biodiversity loss with those of ancient mass extinctions. To improve our understanding of modern extinctions, this project will compare extinction selectivity with respect to genus age in modern and fossil classes. Extinction risk will be assessed at the generic level using the IUCN Red List for modern classes, and using the Paleobiology Database for fossil classes. Ages of both modern and fossil genera will be determined from the Paleobiology Database. The relationship between extinction risk and genus age will be quantified and provide a basis for comparing modern extinctions with those in the fossil record.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The Earth has entered a period of accelerated extinctions. Many long-lived groups are now becoming threatened, including ones such as sharks that have survived for millions of years. A critical question is how our current loss of species compares to the "Big Five" mass extinctions from the geologic past, when up to 90% of all species on earth went extinct, and recovery took millions of years.
In this project, our goal was to look for a leading indicator that would predict how current species loss compares to historical mass extinctions. We looked at the selectivity of extinctions -- not just how many species, but which species are going extinct or becoming threatened with extinction. Specifically, we focused on the age selectivity of extinctions: whether older groups (ones that had existed earlier in geologic time) or younger groups are more likely to go extinct.
Previous research on the fossil record has shown that older groups were generally less likely to go extinct at any given time over the last 500 million years. This is not surprising, as older groups might have had more time to evolve beneficial adaptations, or to spread across a larger area of the earth. However, this pattern did not hold during mass extinctions, when older groups had no advantage over younger groups. Apparently, whatever beneficial traits older groups had were not enough to save them during catastrophic events such as massive volcanic activity or an asteroid impact.
In this project, we quantified extinction risk of modern groups using the IUCN Red List, a database that classifies species as near threatened, vulnerable, endangered, etc. Using the statistical technique of logistic regression, we found that extinction risk of modern groups did not depend on the age of the group. In other words, the modern extinction crisis resembles the Big Five mass extinctions in terms of age selectivity. This conclusion underscores the seriousness of our current threats to earth's species.
We published three refereed conference abstracts funded by the grant, and we are currently preparing a manuscript for submission to a peer-reviewed journal. We also presented talks on our work at the Geological Society of America, the Mathematics of Mass Extinctions Research Network, the University of Pennsylvania, Temple University, and Syracuse University.
The project provided research experience for seven undergraduate students and recent graduates, who learned about using statistical methods to quantify modern extinctions and using historical data from paleontological databases. They also gained experience in communicating science by presenting posters on their work at the Geological Society of America Annual Meeting, a Royal Society (UK) conference on conservation paleobiology, and Swarthmore Sigma Xi poster sessions.
We also created a lesson plan on ocean acidification and modern extinctions, which was used in a summer enrichment program for middle school students from a nearby underserved school district. This lesson plan was submitted to the Teach the Earth teaching repository
Last Modified: 03/20/2025
Modified by: Steve C Wang
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