
NSF Org: |
BCS Division of Behavioral and Cognitive Sciences |
Recipient: |
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Initial Amendment Date: | January 13, 2014 |
Latest Amendment Date: | January 13, 2014 |
Award Number: | 1416201 |
Award Instrument: | Standard Grant |
Program Manager: |
Rebecca Ferrell
rferrell@nsf.gov (703)292-7850 BCS Division of Behavioral and Cognitive Sciences SBE Directorate for Social, Behavioral and Economic Sciences |
Start Date: | November 8, 2013 |
End Date: | August 31, 2015 (Estimated) |
Total Intended Award Amount: | $110,880.00 |
Total Awarded Amount to Date: | $110,880.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
1000 SPRING GARDEN ST GREENSBORO NC US 27412-5068 (336)334-5878 |
Sponsor Congressional District: |
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Primary Place of Performance: |
NC US 27412-5013 |
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): |
Geography and Spatial Sciences, Biological Anthropology |
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): | 47.075 |
ABSTRACT
Paleontologists search for fossils today in very nearly the same ways that our predecessors have since the beginnings of the discipline in the nineteenth century. They study geological and topographic maps in order to locate places where fossils of a certain age may be found, and then they walk long distances with their eyes scouring the ground for hints of eroding fossils. As a result, many important paleontological sites are literally stumbled upon, and chance and luck continue to play a large role in the success or failure of many paleontological expeditions.
This interdisciplinary research utilizes state-of-the-art imaging methods and analytical techniques from remote sensing and the spatial sciences to develop and test new predictive models for determining where paleontologists should concentrate their efforts in the field in order to maximize their effectiveness at finding productive fossil-bearing localities. The investigators will use Landsat imagery as well as high-resolution, commercially available satellite imagery to determine the spectral characteristics of known productive localities in the Eocene deposits of Wyoming's Great Divide Basin. A number of analytical approaches will be tested for their ability to identify the spectral signatures of productive localities, including artificial neural network analysis and geographic object-based image analysis. The research team will spend two summer field seasons searching those areas on the ground that are predicted to have a high potential to be fossil-bearing, in order to statistically evaluate the success of the predictive models.
The international research team includes specialists from vertebrate paleontology, paleoanthropology, geology and geography, and their aim is to stimulate the application of new approaches from the geographic and spatial sciences to the sciences of paleoanthropology and paleontology. Broader impacts include the training of undergraduate and graduate students in this cross-disciplinary approach to field-based anthropological science, and development of web-based tools for education and outreach.
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.
Our NSF-funded project, Developing and Testing New Geospatial Approaches in Paleoanthropology, is an attempt to apply new tools and techniques from the geographic sciences to the search for and recovery of fossil remains that can inform us about the history of life on our planet.
Intellectual Merits
Finding fossils is physically demanding work, often involving field crews of upwards of a dozen individuals driving across dirt tracks in rugged terrain and hiking for miles with eyes cast downward, looking for evidence of fossils being eroded at the earth’s surface. While good preparation and understanding of the local deposits is essential to find new fossil deposits, the history of paleontology suggests that success or failure is often the result of luck or serendipity.
Through collaboration between a paleoanthropologist and a geographer, we have developed several different predictive models for the location of fossil deposits that can increase the efficiency and decrease the cost of fossil-collecting expeditions anywhere in the world. We used satellite imagery of our research area in Wyoming (a 10,000 km2 sedimentary basin known as the Great Divide Basin) and a variety of different analytical approaches (notably including an artificial neural network) to identify the “spectral signature” of known productive localities (i.e., those places where fossils had been found in the past). With this knowledge in hand, we were able to then “virtually search” the entire Great Divide Basin for other areas (often places that we had never visited) that shared the spectral signature of productive localities. We then visited these areas in order to “ground-truth” the predictive models. Our work has led to the identification of a number of new fossil-bearing localities, often in places we would have never prioritized in our search for fossils.
While models of this sort still need to be further developed, improved, and tested in the field, we are confident that our work clearly demonstrates the potential of predictive modeling to inform and improve the ways that we search for fossils, and that this will inevitably lead to a greater understanding of the history of life.
Broader Impacts
We trained both undergraduate and graduate students in our new, interdisciplinary approach to doing field work in paleoanthropology, and have clearly demonstrated the utility of collaborative work between anthropologists and geographers. In addition to several male undergraduate and graduate students in Anthropology, we trained several females undergraduate students in the field (2 of whom are now in graduate school in biological anthropology), and one (an African American student) who has graduated and is applying for medical school. We have presented our work at many conferences in several disciplines, including Anthropology, Vertebrate Paleontology, and Geography, as well as at K-12 schools and at other Universities. We have created an active social media presence for our fieldwork by creating a dedicated Facebook page and Twitter account, and have a number of professional publications in various stages of preparation that will further disseminate our work to professional paleoanthropologists, geographers and remote sensing specialists, and vertebrate paleontologists. Finally, our research has been widely disseminated to the public via traditional print media (e.g., newspapers and magazines), online publications and websites, and television (a 30 minute public television special produced and broadcast by North Carolina Public TV).
Last Modified: 10/02/2015
Modified by: Robert L Anemone