
NSF Org: |
EAR Division Of Earth Sciences |
Recipient: |
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Initial Amendment Date: | August 7, 2013 |
Latest Amendment Date: | August 12, 2016 |
Award Number: | 1338028 |
Award Instrument: | Continuing Grant |
Program Manager: |
Dena Smith-Nufio
dmsmith@nsf.gov (703)292-7431 EAR Division Of Earth Sciences GEO Directorate for Geosciences |
Start Date: | August 15, 2013 |
End Date: | July 31, 2018 (Estimated) |
Total Intended Award Amount: | $228,924.00 |
Total Awarded Amount to Date: | $228,924.00 |
Funds Obligated to Date: |
FY 2014 = $82,083.00 FY 2015 = $115,977.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
2200 VINE ST # 830861 LINCOLN NE US 68503-2427 (402)472-3171 |
Sponsor Congressional District: |
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Primary Place of Performance: |
Rm. 228 Bessey Hall Lincoln NE US 68588-0430 |
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: |
01001415DB NSF RESEARCH & RELATED ACTIVIT 01001516DB NSF RESEARCH & RELATED ACTIVIT |
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
This project links functional anatomical traits in mammals and reptiles to temperature, precipitation, and vegetation cover using a Bayesian framework that allows us to explicitly test these vertebrate environmental proxies against independent pedogenic and paleobotanical evidence in order to reconstruct paleoclimates of the North American interior during the Miocene. We build estimates of paleoenvironment from entire faunas rather than individual species in order to combine the predictive strengths of ectotherms (reptiles) and endotherms (mammals). Our objectives are: (1) assemble a database of functional traits from Miocene vertebrate fossils at the local assemblage and biocenosis scale in the central Great Plains based on the extensive fossil collections of the Nebraska State Museum and biomolecular proxy data from select fossil localities; (2) develop Bayesian probabilistic climate spaces from sampled traits in modern faunas; (3) use the trait-climate spaces to estimate Miocene paleoenvironment and test for consilience between vertebrate estimates and independent proxies; (4) use the trait-based proxy results to test competing hypotheses of mid-continental floral composition and to determine the extent of coupling between global climate change and local environments during episodes of warming and cooling. This study is the most taxonomically and anatomically comprehensive analysis of faunal traits ever performed on a continuous terrestrial vertebrate fossil record, and our method can be extended to other proxies (stable isotopes, biomolecules, paleoflora) as a general method for paleoenvironmental estimation. We will generate paleoclimate profiles through the Miocene that can be used to test General Circulation Models and to forecast regional impacts of future anthropogenic global climate change.
Non-technical description: This project uses the relationship between the physiology and ecology of living mammals and reptiles to their modern environments to reconstruct the past climates and environments of the interior of North America during the Miocene Epoch (5.3 to 23.0 million years ago) using the fossil record. We will use the functional properties of different living and fossil species that are represented by their skeletal anatomy, such as method of locomotion, dietary specializations, and physiological regulation of body temperature, to reconstruct temperature, precipitation, and floral composition during known histories of global climate change. This approach provides paleontologists with a sophisticated way of understanding the geographic complexity of environmental change using fossils and it provides a record of what changes actually occurred in the Miocene. We will develop a new statistical framework for conducting such research that allows us to determine the relative probabilities of different past climates. For example, environmental temperature and precipitation are correlated to body size and tail length in modern snakes and correspond to the relative proportions of ankle bones in modern carnivorous mammals. By measuring these traits in fossil assemblages, we can statistically estimate past climates based on the relative probabilities of different temperature and precipitation values from both snake and mammals. Our method allows us to better assess the complex relationship between organisms and changing climate at both local and global scales, and will provide precise past climate values that can be used to test General Circulation Models and refine the ability to forecast future climate change.
In addition to increasing our understanding about these important issues, the funds spent on this project will provide training in geology, anatomy, computer programing, and mathematics to university undergraduate and graduate students. Additionally, it will contribute to scientific conferences and museum exhibits for the general public.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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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.
Understanding the interactions of organisms with their environment is crucial for both reconstructing past evolutionary and ecological histories and for forecasting future biotic responses to human-induced climate change. The ability to apply information from the deep-time past to inform the public and policy has been previously limited, however, by differences in spatial and temporal scales as well as differences in species that constitute ecosystems. Ecometrics, the analysis of the relationship between environment and functional traits such as body size and feeding and locomotor anatomies, provides a way to make meaningful comparisons between the past and present to ultimately forecast the future. This project placed ecometric techniques in a Bayesian statistical framework in order to estimate the likelihoods of particular trait-environmental relationships in modern mammalian ecosystems and used these results to model past ecometric relationships based on the functional trait compositions of extinct communities that are preserved in the morphologies of fossil bone. Analyses indicate that environmental changes have a strong influence on community composition of living mammal ecosystems and that that human-induced change produces different responses in trait distributions than past environmental changes such as glacial cycling. Importantly, much of this difference is because human-driven changes are often associated with landscape modifications that are not directly linked to larger environmental factors, whereas natural changes selectively reorganize communities based on traits that are most compatible with newly emerging conditions. This project trained multiple undergraduate and graduate students at two universities and produced publications on methods development, environmental reconstruction, and the descriptions of new fossil records. Important broader impacts of the project included a conference uniting paleontologists with conservation biologists to discuss how best to integrate fossil and modern biodiversity data. From this we produced a highly influential publication in the journal Science that provides recommendations for how to use fossil data in conservation decision-making as part of the emerging discipline of conservation paleobiology. An important corollary to the results of this project is the development of Conservation Palaeobiology in Africa (CPiA), an International Union of Biological Sciences-funded programme that provides network development and education opportunities for African researchers on how to employ fossil data to preserve modern megafauna.
Last Modified: 05/22/2021
Modified by: Jason Head
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