
NSF Org: |
BCS Division of Behavioral and Cognitive Sciences |
Recipient: |
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Initial Amendment Date: | July 13, 2016 |
Latest Amendment Date: | April 21, 2022 |
Award Number: | 1617396 |
Award Instrument: | Standard Grant |
Program Manager: |
Jeffrey Mantz
jmantz@nsf.gov (703)292-7783 BCS Division of Behavioral and Cognitive Sciences SBE Directorate for Social, Behavioral and Economic Sciences |
Start Date: | August 1, 2016 |
End Date: | July 31, 2022 (Estimated) |
Total Intended Award Amount: | $1,700,000.00 |
Total Awarded Amount to Date: | $1,700,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
201 OLD MAIN UNIVERSITY PARK PA US 16802-1503 (814)865-1372 |
Sponsor Congressional District: |
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Primary Place of Performance: |
302 Walker Building University Park PA US 16802-1503 |
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): | DYN COUPLED NATURAL-HUMAN |
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
This interdisciplinary research project will examine how human values and practices impact preferences about natural systems and influence the trade-offs made in decision making about forest resources and sustainability. The project will focus on two overarching themes: the importance of feedbacks in natural-human systems and the importance of value systems and customary practices that are not adequately captured by knowledge systems alone. It will provide new insights and information regarding how changes in forest ecosystem structure and function result in new relationships between humans and forest species and services as well as how forest-management practices influence ecosystems. The project also will advance understanding of the complex reciprocal relationships among values and practices, including traditional knowledge of indigenous people, and decision making by individuals and communities. Furthermore, the project will enhance understanding of the degree to which individuals and communities hold cultural, spiritual, ethical, and aesthetic values and engage in customary forests practices that are not adequately captured by conventional knowledge systems. Because the project's participants include the College of the Menominee Nation, the project will provide opportunities for Native American students to have education and training opportunities with respect to both basic research and to the use of innovative technologies, including virtual reality software and devices. Other education and training opportunities in the conduct of interdisciplinary science will be provided for graduate students and post-doctoral scholars. The project will promote collaborations among educators, scientists, and managers in the region and will inform ongoing environmental assessment activities focused on indigenous peoples and tribal knowledge. The project also will contribute to enhanced decision making for environmental change adaptation in tribal communities by providing clear routes by which values and relationships with forests can be embedded within state-of-the-art optimization procedures, and it will assist forest managers and community members in working together to evaluate trade-offs when making decisions.
Traditional knowledge from indigenous cultures is recognized as important in environmental assessments but has not been adequately captured in landscape-level planning. Forests managed by tribal communities are under threat from increasing insect damage, which is already the most spatially extensive forest disturbance in North America, affecting approximately 20 million hectares of forest per year with an estimated cost of $1.5 billion. Significant changes to forests could adversely impact the forest industries upon which many tribal communities depend and could alter tribal identity. The investigators will use state-of-the-art visualization and virtual reality experiences about future forest conditions to access a broader range of human values about scenarios of future forest conditions. These outcomes will be used to model preferences in forest-management activities and determine trade-offs and synergies among economic and other value-based decisions about forest management. The investigators will employ anthropological, ethical, process-based, and immersive means to explore the complex factors that influence how people and communities make decisions and evaluate trade-offs among diverse objectives when faced with considerable uncertainty. The investigators will test a set of hypotheses, include the propositions that immersive virtual reality can enhance emotive and cognitive perceptions of environmental changes and that current management activities can be refined through the incorporation of value structures into a robust decision making analysis. Values and practices will be incorporated into consensus mental models, which will inform information available via immersive virtual reality and ecosystem modeling, and the investigators will enhance a decision support algorithm to assess trade-offs in outcomes. The immersive virtual reality experiences will include interactive 2-D and 3-D landscape maps, 360-degree depictions of alternative forest structures, and interactive maps through time. The decision-analytics approach will facilitate analysis of trade-offs across a broad set of sustainability metrics and will help test the performance of alternative strategies under uncertain future conditions. The investigators will characterize and tradeoffs and synergies among competing values that reflect cultural, ecological, and economic well-being and assist in determination of what choices lead to sustainable solutions. This project is supported by the NSF Dynamics of Coupled Natural and Human Systems (CNH) Program.
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.
Forests are increasingly under threat from pests and pathogens, disturbance events, and climatic extremes. Navigating forest management decisions under these uncertain futures is a complex challenge, particularly when decisions entail numerous stakeholders across public and private boundaries. Traditionally, observations and models are used to understand past, current, and future forest conditions, but these methodologies may only partially illuminate pathways of forest change and may not fully capture the multiple objectives held by communities and other stakeholders. This issue is especially acute given that humans might need to be physically immersed in forests of the future to understand how that experience might shape decisions that are made today.
In this interdisciplinary project, we developed an integrative approach to link results of forest landscape change simulated by landscape models to an immersive, interactive virtual reality tool. Our goals were to, first, test whether immersive experiences could better inform sustainable forest management decisions by allowing users to experience potential forests of the future in a way that was more closely related to the human experience of being embedded within a forest. Second, we aimed to test whether these immersive experiences would enable greater levels of systemic thinking about forests, thus enhancing sustainability education competencies. Third, we aimed to identify what climate conditions and management choices would optimize forest stewardship across multiple objectives, such as biodiversity, carbon storage, and the persistence of culturally important but rare species. Finally, we explored whether these results and visual technologies could help to deepen engagement with the Menominee sustainability model, given that our study area included the Menominee Tribal Reservation in northern Wisconsin.
Our results showed that windthrow, emerald ash borer, and climate change will shift forest species composition across the study area. The resilience of the forest to windthrow was spatially variable, with some locations in the north recovering quickly, whereas other locations, mostly in the south, did not recover to pre-disturbance conditions by the year 2100 (Lucash et al. 2019). Although emerald ash borer is likely to kill ash species across the study area, our results showed that this is likely to have little effect on overall species biodiversity given its low dominance on the landscape; however, loss of ash species could have important cultural implications (Olson et al. 2021).
We combined these model results with forest inventory data to develop procedural rules to translate them into immersive experiences (Huang et al. 2020). Users can interact with the immersive tool to explore forest conditions that represent different outcomes of management and climate futures and can toggle to view particular species or perspectives. We also developed digital 360-degree videos or virtual field tours using game engine software that included Menominee community members or forest managers describing important locations on the landscape, stories of forest change, and management goals. We tested the utility of these products to enhance communication and learning through participatory exercises and surveys. Our results showed that interactive and immersive storytelling can help illuminate systems-thinking about these management choices and aid communication, particularly for public stakeholders who are initially opposed or indifferent toward the planned landscape changes (Steidle et al, in review).
Our project also highlighted that there will likely be tradeoffs across objectives under future management and climate conditions. These tradeoffs are minimized under the scenarios that included the lowest levels of climate change (Lucash et al, in review). Additionally, within all climate scenarios, the choice of forest management mattered, with uneven-aged forest management strategies showing the greatest opportunity to achieve multiple objectives. This result highlights that there are forest management practices that can be used to optimize objectives, even under higher levels of climate change.
Our project directly enhanced STEM education by supporting seven graduate students (three M.S. and four Ph.D.), six junior faculty members, postdocs, or technicians, and seventeen undergraduate students from the College of Menominee Nation who were funded through research experiences. Our project also enhanced technical training in the College of Menominee Nation through the development of a new course titled Interactive Media Design and Development, which is part of a Digital Media AAS degree program. Through our use of the LANDIS-II model on Linux-based, high-performance computing systems, our project has enhanced capacity for using landscape models to design and run experiments that have greater computational demand. Our results were disseminated through 22 papers, two book chapters, 54 presentations, a webpage, vlogs, blogs, and a documentary.
Last Modified: 12/13/2022
Modified by: Erica A Smithwick
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