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Discipline/Subject

  • Biological sciences
  • Chemical sciences
  • Earth and related Environmental sciences
  • Engineering and technology
  • Environmental engineering
  • (-) Natural sciences
  • Social and economic geography
  • Social Sciences

GEM3 Component

  • (-) Mapping
  • (-) Modeling

GEM3 Authors

  • Colden Baxter
  • Cristina Barber Alvarez Buylla
  • Elizabeth Jossie
  • Janet Rachlow Witham
  • Jennifer Forbey
  • Juan Requena Mullor
  • Kitty Griswold
  • Matt Williamson
  • Morey Burnham
  • Peter Olsoy
  • Travis Seaborn

GEM3 Organization

Year Reported

  • Yr 3 (2020-21)
  • Yr 4 (2021-22)
  • Yr 5 (2022-23)

External Affiliates

  • Friends of the Teton River
  • Idaho Department of Fish and Game (IDFG)-Upper Snake River Regional Office
  • Oregon State University-Department of Fisheries, Wildlife, and Conservation Sciences
  • Pacific States Marine Fisheries Commission
  • The Ohio State University-School of Environment and Natural Resources
  • US Forest Service (USFS)-Pacific Northwest Research Station| Oregon State University Campus
  • US Forest Service (USFS)-Pacific Northwest Research Station| Portland Headquarters
  • Washington State University-School of the Environment | Wild Herbivore Ecology Lab

Metadata/Data Catalog

Prefer spatial search? Visit the Interactive Map.

« Return to the Data Dashboard

Displaying 1 - 7 of 7

Title GEM3 Component Research Site
Data from: Improving inferences about private land conservation by accounting for incomplete reporting Mapping, Modeling
Data from: Food quality, security, and thermal refuge influence use of microsites and patches by pygmy rabbits (Brachylagus idahoensis) across landscapes and seasons Mapping, Modeling Cedar Gulch-Leadore | Sagebrush Chemistry/UAS, Magic Reservoir-Camas | Sagebrush Chemistry/UAS
Dissertation | Upscaling Tree Demography to Heterogenous Landscapes Using Models and Remote Sensing Mapping, Modeling
Data from: Human population growth and accessibility from cities shape rangeland condition in the American West Mapping, Modeling
The upper limit of fish Mapping, Modeling
UPstream Regional LiDAR Model for Extent of Trout (UPRLIMET) model training and prediction data Mapping, Modeling
Data from: Using social-ecological models to explore stream connectivity outcomes for stakeholders and Yellowstone cutthroat trout Mapping, Modeling Social Ecological Outcomes of Connectivity Conservation

Funding for this project is provided by:

NSF   Idaho EPSCoR

Award No. OIA-1757324

   

FUNDING: This project, "RII Track-1: Linking Genome to Phenome to Predict Adaptive Responses of Organisms to Changing Landscapes," was funded under National Science Foundation grant No. OIA-1757324. The total amount of federal funds for the project is $20 million, which amounts to 83% of the total cost of the project. The total amount of non-federal funds for the project is $4 million, which amounts to 17% of the total cost of the project.
DISCLAIMER: This material is based in part upon work supported by: The National Science Foundation under grant number OIA-1757324. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
CITING EPSCoR: If your work benefited from the use of EPSCoR equipment or an EPSCoR sponsored student worked in your lab or you received money from EPSCoR that contributed to your research or career, cite EPSCoR on all publications, presentations, press releases, requests for proposals, bid invitations, or any other documents or applications that describe projects or programs that were supported by EPSCoR. Example: "This publication was made possible by the NSF Idaho EPSCoR Program and by the National Science Foundation under award number OIA-1757324."

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Questions about the project?
(e.g., how to get involved)
Contact Rick Schumaker

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