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Discipline/Subject

  • (-) Biological sciences
  • Earth and related Environmental sciences
  • Environmental engineering
  • Natural sciences
  • Social Sciences

GEM3 Component

  • Mapping
  • Mechanisms
  • (-) Modeling

GEM3 Authors

  • Andrew Child
  • Andrii Zaiats
  • Anthony Melton
  • Bryce Richardson
  • Cara Applestein
  • Colden Baxter
  • Elizabeth Jossie
  • Kitty Griswold
  • Morey Burnham
  • Paige Ellestad
  • Peggy Martinez
  • Stephen Novak
  • Sven Buerki
  • Travis Seaborn
  • Walker Morales

GEM3 Organization

Year Reported

  • (-) Yr 5 (2022-23)

External Affiliates

  • Friends of the Teton River
  • Idaho Department of Fish and Game (IDFG)-Panhandle Regional Office
  • 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
  • US Forest Service (USFS)-Pacific Northwest Research Station| Oregon State University Campus
  • US Forest Service (USFS)-Pacific Northwest Research Station| Portland Headquarters
  • US Forest Service (USFS)-Rocky Mountain Research Station | Moscow Forestry Sciences Laboratory
  • US Geological Survey (USGS) | Forest and Rangeland Ecosystem Service Center-Snake River Field Station

Metadata/Data Catalog

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« Return to the Data Dashboard

Displaying 1 - 8 of 8

Title GEM3 Component Research Site
Code for Zaiats et al. 2023 Landscape Ecology Mapping, Modeling
andriizayac/ibm_sagebrush_simulations: Code for Zaiats et al. 2022 Ecology and Evolution Mechanisms, Modeling Majors Flat | Sagebrush Common Garden
Data and Code from: Post-fire seed dispersal of a wind-dispersed shrub declined with distance to seed source, yet had high levels of unexplained variation (capplestein/Sagebrush-Seed-Dispersal: v.1) Mechanisms, Modeling
Code from: Using Decision Analysis to Determine the Feasibility of a Conservation Translocation 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 processing scripts for: A Genotype×Environment experiment reveals contrasting response strategies to drought between populations of a keystone species (Artemisia tridentata; Asteraceae) Mechanisms, Modeling La Sal B | Seed Collection (Plant UTT-2), Highway 95 Hilltop | Seed Collection (Plant IDT-3)
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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