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

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)
  • Structured Decision Making in Natural Resource Management (Jim Peterson, Adam Duarte 2016)
  • Structured Decision Making in Natural Resource Management (Lab) (Jim Peterson, Adam Duarte 2016)
  • 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 2016)
  • Conservation Biology of Wildlife (Daniel Roby 2016)
  • Analysis of Animal Populations This course is designed to teach students quantitative methods for estimating vital rates and demographic parameters of animal populations (i.e., survival, abundance, occupancy). Emphasis is on vertebrate animals and statistical methods of hypothesis testing, parameter estimation, and inference testing. This course is offered odd-numbered years. (Katie Dugger 2015)
  • 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, Michael Colvin 2015)
  • Structured Decision Making in Natural Resource Management (Jim Peterson, Jefferson Deweber 2015)
  • Structured Decision Making in Natural Resource Management (Lab) (Jim Peterson, Michael Colvin 2015)
  • 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 2015)
  • 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, Michael Colvin 2014)
  • Structured Decision Making in Natural Resource Management (Jim Peterson, Michael Colvin 2014)
  • Structured Decision Making in Natural Resource Management (Lab) (Jim Peterson, Michael Colvin 2014)
  • Conservation Biology of Wildlife (Daniel Roby 2014)
  • Analysis of Animal Populations This course is designed to teach students quantitative methods for estimating vital rates and demographic parameters of animal populations (i.e., survival, abundance, occupancy). Emphasis is on vertebrate animals and statistical methods of hypothesis testing, parameter estimation, and inference testing. This course is offered odd-numbered years. (Katie Dugger 2013)
  • Estimating patterns and processes of animal occupancy. Teaches students how to estimate occupancy rates and the processes resulting in paterns of occupancy (extinction and colonization) using Program MARK. (Katie Dugger 2013)
  • 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, Michael Colvin 2013)
  • Physiological Ecology of Wildlife This course investigated the physiological ecology of wildlife. (Daniel Roby 2013)
  • Estimating patterns and processes of animal occupancy. Teaches students how to estimate occupancy rates and the processes resulting in paterns of occupancy (extinction and colonization) using Program MARK. (Katie Dugger 2012)
  • Structured Decision Making in Natural Resource Management (Jim Peterson, Michael Colvin 2012)
  • Quantitative Decision Analysis For Fish and Wildlife Management (Jim Peterson 2012)
  • Structured Decision Making in Natural Resource Management (Jim Peterson 2012)
  • Environmental Physiology of Fishes (Carl Schreck 2012)
  • Endangered species, society, and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2011)
  • Wildlife Behavior This course is designed to provide a general background on the adaptive significance of wildlife behavior, while increasing the understanding of how behavior affects basic inter-relationships between wildlife and their environments. The important of understanding animal behavior in teh context of sound wildlife management will also be explored. (Katie Dugger 2011)
  • Endangered species, society, and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2011)
  • Wildlife Behavior This course is designed to provide a general background on the adaptive significance of wildlife behavior, while increasing the understanding of how behavior affects basic inter-relationships between wildlife and their environments. The important of understanding animal behavior in teh context of sound wildlife management will also be explored. (Katie Dugger 2011)
  • Conservation Biology of Wildlife (Daniel Roby 2011)
  • Environmental Physiology of Fishes (Carl Schreck 2011)
  • Endangered species, society, and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2010)
  • Quantitative Approaches to Conservation Biology (Jim Peterson 2010)
  • Environmental Physiology of Fishes (Carl Schreck 2010)
  • Endangered species, society, and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2009)
  • Endangered species, society, and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2009)
  • Quantitative Approaches to Conservation Biology (Jim Peterson 2009)
  • Integrating Management, Monitoring and Research: Adaptive Resource Management for Animal Conservation (David Galat, Jim Peterson, Michael Conroy 2009)
  • Conservation Biology of Wildlife (Daniel Roby 2009)
  • International Directed Study (Daniel Roby 2009)
  • 2009 International Course on Avian Movements and Migration Technology (Daniel Roby 2009)
  • Environmental Physiology of Fishes (Carl Schreck 2009)
  • Environmental Physiology of Fishes (Carl Schreck 2009)
  • Endangered species, society, and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2008)
  • Endangered species, society, and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2008)
  • Wetlands and Riparian Ecology (Katie Dugger 2008)
  • Biology and Ecology of Freshwater Mussels (Jim Peterson 2008)
  • Physiological Ecology of Wildlife (Daniel Roby 2008)
  • Fish and Wildlife Seminar (Carl Schreck 2008)
  • Environmental Physiology of Fishes (Carl Schreck 2008)
  • Endangered species, society, and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2007)
  • Quantitative Approaches to Conservation Biology (Jim Peterson 2007)
  • Estimation of Parameters of Fish and Wildlife Populations (Jim Peterson, Michael Conroy, Jon Runge 2007)
  • Conservation Biology of Wildlife (Daniel Roby 2007)
  • Endangered species, society and sustainability This course provides a general background in basic endangered species biology and ecology and also explores the social and economic implications of the legislation enacted to conserve endangered species (i.e., The Endangered Species Act). (Katie Dugger 2006)
  • Quantitative Approaches to Conservation Biology (Jim Peterson 2006)
  • Energetics and Nutrition of Wildlife (Daniel Roby 2006)
  • Open source computing for fisheries and wildlife studies (Jim Peterson, Michael Conroy, Christopher Fonnesbeck 2005)
  • Quantitative Approaches to Conservation Biology (Jim Peterson 2005)
  • Conservation Biology of Wildlife (Daniel Roby 2005)
  • Physiological Ecology of Vertebrates (Daniel Roby 2005)
  • Quantitative Approaches to Conservation Biology (Jim Peterson 2004)
  • Salmonids of the Pacific Northwest and Their Habitats (Jim Peterson 2004)
  • Multivariate techniques for community/ecosystem-level studies (Jim Peterson 2003)
  • Conservation Biology of Wildlife (Daniel Roby 2004)
  • Quantitative Approaches to Conservation Biology (Jim Peterson 2002)
  • SAS for Biologists (Jim Peterson 2002)
  • Nutrition and Energetics of Wildlife (Daniel Roby 2002)
  • Biology of Marine Birds (Daniel Roby 2002)
  • Advanced Topics in Avian Ecology (Daniel Roby 2002)
  • SAS for Biologists (Jim Peterson 2001)
  • Quantitative Approaches to Conservation Biology (Jim Peterson 2001)
  • Decision analysis under uncertainty (Jim Peterson, Michael Conroy 2001)
  • Conservation Biology of Wildlife (Daniel Roby 2001)
  • Graduate Seminars (Carl Schreck 2001)
  • Environmental Physiology of Fishes (Carl Schreck 2001)
  • Nutrition and Physiological Ecology of Wildlife (Daniel Roby 2000)
 

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