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Discipline/Subject

  • Biological sciences
  • Chemical sciences
  • Earth and related Environmental sciences
  • Engineering and technology
  • Environmental engineering
  • Natural sciences

GEM3 Component

  • Mapping
  • Mechanisms
  • Modeling

GEM3 Authors

  • Brecken Robb
  • Donna Delparte
  • (-) Janet Rachlow Witham
  • Jennifer Forbey
  • Peter Olsoy
  • Stephanie Galla
  • Trevor Caughlin

GEM3 Organization

Year Reported

  • (-) Yr 4 (2021-22)

External Affiliates

  • The Ohio State University-School of Environment and Natural Resources
  • University of Florida-Institute of Food and Agricultural Sciences | Unmanned Aircraft Systems Research Program
  • University of Montana | Spatial Analysis Lab
  • 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 - 4 of 4

Title GEM3 Component Research Site
Data from: Mapping foodscapes and sagebrush morphotypes with unmanned aerial systems for multiple herbivores Mapping, Mechanisms Magic Reservoir-Camas | Sagebrush Chemistry/UAS, Cedar Gulch-Leadore | Sagebrush Chemistry/UAS
Data from: Near-infrared spectroscopy aids ecological restoration by classifying variation of taxonomy and phenology of a native shrub Mapping, Mechanisms, Modeling Raft River | Sagebrush Chemistry, Craters | Sagebrush Chemistry, Cedar Gulch-Leadore | Sagebrush Chemistry/UAS, Magic Reservoir-Camas | Sagebrush Chemistry/UAS
Unoccupied aerial systems imagery from Camas, Cedar Gulch and Rocky Canyon Idaho Mapping Magic Reservoir-Camas | Sagebrush Chemistry/UAS, Cedar Gulch-Leadore | Sagebrush Chemistry/UAS, Rocky Canyon | UAS
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

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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