
NSF Org: |
EAR Division Of Earth Sciences |
Recipient: |
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Initial Amendment Date: | August 7, 2013 |
Latest Amendment Date: | July 31, 2016 |
Award Number: | 1338298 |
Award Instrument: | Continuing Grant |
Program Manager: |
Margaret Fraiser
mfraiser@nsf.gov (703)292-0000 EAR Division Of Earth Sciences GEO Directorate for Geosciences |
Start Date: | August 15, 2013 |
End Date: | July 31, 2019 (Estimated) |
Total Intended Award Amount: | $168,394.00 |
Total Awarded Amount to Date: | $168,394.00 |
Funds Obligated to Date: |
FY 2014 = $17,419.00 FY 2015 = $63,206.00 FY 2016 = $18,684.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
107 S INDIANA AVE BLOOMINGTON IN US 47405-7000 (317)278-3473 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1001 E. 10th Street Bloomington IN US 47405-1405 |
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 01001617DB 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
Technical description. 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.
This project made contributions to one of the greatest challenges facing the public and US policy makers today, how to assess the potential impact of environmental change on species and ecosystems. The threat of these changes is difficult to judge because their temporal and spatial scale is larger than what can be observed by individual scientists and different than the historical ecological studies that were conducted in the 20th and 21st centuries.
This project developed the concept of ecometric analysis, the analysis of functional traits, as a tool to be able to measure the outcomes of major environmental transitions in Earth's past in terms of extinction, community reorganization, and adaptation. The goal of ecometrics is to allow the projections of environmental change over the coming century to be placed in that historical context to judge if they are larger, smaller, faster, slower, or otherwise comparable to changes in the past for which we know the outcomes. This project developed the ecometric concept in order to allow comparisons between ecosystems in which none of the species are shared in common, which is often the case in the geological past when communities were made up primarily or exclusively of extinct animals and plants. The project also developed state-of-the-art analytical tools, especially ones based on Bayesian statistical strategies, to be able to judge the likelihoods of possible outcomes.
We found that past environmental changes strongly affected the current composition of mammalian carnivore communities and the kinds of locomotor specializations they have. We also found that directionally changing environments (like those projected over the coming century) have different outcomes than cycling environments (like those of the last 2.5 million years). We also found that the effects of humans on vertebrate communities is very different than natural changes in response to changing environment because human-induced changes are almost random with respect to the environment whereas natural changes selectively remove those species with traits that are incompatible with newly emerging conditions.
In addition to producing scientific results, this project has made an effort to promote those results to policy makers and other relevant users. We published a paper in the interdisciplinary journal Science on how ecometrics can be used to make planning decisions and to manage ecosystems. It was widely discussed in the media and has started to be embedded in policy making discussions. We also trained undergraduate, graduate, and postdoctoral students in the new methods we developed and created easy-to-use software packages for carrying out new ecometric analyses. Many of the students who worked on the project are now advancing into careers of their own where they are passing these techniques on to new generations.
Last Modified: 09/22/2019
Modified by: P. David Polly
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