Cooperative Research Units
Education, Research And Technical Assistance For Managing Our Natural Resources
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Oregon Education Activities

Ecology class at South Dakota State University

Courses Taught

  • Analysis of Animal Populations (Katie Dugger 2017)
  • Quantitative Decision Analysis for Fish and Wildlife Management Natural resource managers often are faced with difficult decisions on how to satisfy the socio-economic needs of the public while conserving or restoring ecological systems. To aid in the decision-making process, the decision sciences have developed approaches that allow decision makers to: examine the expected effects of different strategies before implementation; incorporate multiple objectives and values of stakeholders; determine the relative influence of various sources of uncertainty; and estimate the value of collecting additional data. Adaptive management, a special case of decision analysis, is used to reduce uncertainties through monitoring, increasing the value of management. Despite the potential advantages, quantitative decision analysis and adaptive management are not used widely in natural resource management, with the exception of a few notable conservation efforts. To this point, a primary impediment to the broad-scale application of quantitative decision analysis has been a lack of training opportunities for natural resource students and professionals in the concepts and methodology. This course is intended to fill that gap by providing quantitatively- oriented students in natural resources and related fields with the skills needed to interpret and conduct complex quantitative decision analysis for managing animal populations. (Jim Peterson 2017)
  • An introduction to data management and R for Fisheries and Wildlife applications Includes lectures and interactive computer exercises. We attempt to employ an interactive classroom environment to explore the tools researchers and managers use to create, manipulate, and analyze datasets with R software. The beginning of the course consists of an introduction to the R environment with emphasis on the importance of creating a database that is functional, error free, and easily analyzed. We then focus on using R software to manipulate datasets and conduct analyses. (Jim Peterson, Jefferson Deweber 2016)
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Training Offered

 

Current Staff

Federal Staff: 4

Masters Students: 12

Phd Students: 11

Post Docs: 3

University Staff: 16

5 Year Summary

Students graduated: 20

Scientific Publications: 71

Presentations: 268

Oregon Cooperative Fish and Wildlife Research Unit Cooperators

  1. Oregon Department of Fish and Wildlife
  2. Oregon State University
  3. U.S. Fish and Wildlife Service
  4. U.S. Geological Survey
  5. Wildlife Management Institute