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

Courses Taught

  • Quantitative Methods in Ecology (Tyler Wagner 2017)
  • Applied Spatial Ecology Methods for managing and analyzing ecological datasets are constantly evolving. Advances in technology have resulted in large spatial datasets for aquatic and terrestrial populations that requires data compilation and analysis for making sound resource management and conservation decisions. From traditional estimators of home range and resource selection in R to spatial epidemiology of disease in WinBUGS, this course will provide hands-on learning for manipulation and analyses of ecological datasets for a variety of taxa. You will develop skills in understanding and processing complex datasets while learning traditional and innovative methods for spatial data analysis. (W. David Walter 2017)
  • Advances in Ecology (Duane Diefenbach 2016)
  • Population estimation and modeling (Duane Diefenbach 2016)
  • Applied Spatial Ecology Methods for managing and analyzing ecological datasets are constantly evolving. Advances in technology have resulted in large spatial datasets for aquatic and terrestrial populations that requires data compilation and analysis for making sound resource management and conservation decisions. From traditional estimators of home range and resource selection in R to spatial epidemiology of disease in WinBUGS, this course will provide hands-on learning for manipulation and analyses of ecological datasets for a variety of taxa. You will develop skills in understanding and processing complex datasets while learning traditional and innovative methods for spatial data analysis. (W. David Walter 2016)
  • Population estimation and modeling (Duane Diefenbach 2015)
  • Hierarchical models in ecology The objective of this course is to introduce students to hierarchical models and their application in ecology. The goal is to develop skills and understanding of fitting hierarchical models (i.e., writing model code), interpreting model output, and presenting results. The course will focus on Bayesian estimation of hierarchical models and will use the programming environment R and the program JAGS. (Tyler Wagner 2015)
  • Applied Spatial Ecology Methods for managing and analyzing ecological datasets are constantly evolving. Advances in technology have resulted in large spatial datasets for aquatic and terrestrial populations that requires data compilation and analysis for making sound resource management and conservation decisions. From traditional estimators of home range and resource selection in R to spatial epidemiology of disease in WinBUGS, this course will provide hands-on learning for manipulation and analyses of ecological datasets for a variety of taxa. You will develop skills in understanding and processing complex datasets while learning traditional and innovative methods for spatial data analysis. (W. David Walter 2015)
  • Advances in Ecology (Duane Diefenbach 2014)
  • Quantitative Methods in Ecology (Tyler Wagner 2014)
  • Applied Spatial Ecology Methods for managing and analyzing ecological datasets are constantly evolving. Advances in technology have resulted in large spatial datasets for aquatic and terrestrial populations that requires data compilation and analysis for making sound resource management and conservation decisions. From traditional estimators of home range and resource selection in R to spatial epidemiology of disease in WinBUGS, this course will provide hands-on learning for manipulation and analyses of ecological datasets for a variety of taxa. You will develop skills in understanding and processing complex datasets while learning traditional and innovative methods for spatial data analysis. (W. David Walter 2014)
  • Advances in Ecology (Duane Diefenbach 2013)
  • Applied Spatial Ecology Methods for managing and analyzing ecological datasets are constantly evolving. Advances in technology have resulted in large spatial datasets for aquatic and terrestrial populations that requires data compilation and analysis for making sound resource management and conservation decisions. From traditional estimators of home range and resource selection in R to spatial epidemiology of disease in WinBUGS, this course will provide hands-on learning for manipulation and analyses of ecological datasets for a variety of taxa. You will develop skills in understanding and processing complex datasets while learning traditional and innovative methods for spatial data analysis. (W. David Walter 2013)
  • Advances in Ecology Introduction to Current Topics of Research in Ecology (Duane Diefenbach 2012)
  • Structured Decision Making and Adaptive Management of Natural Resources Introduction to Structured Decison Making and Adaptive Management. (Duane Diefenbach, Tyler Wagner 2012)
  • Wildlife Management Undergraduate capstone course for wildlife majors that covers the application of ecological concepts to making wildlife management decisions. (Duane Diefenbach 2012)
  • Quantitative Methods in Ecology (Tyler Wagner 2012)
  • Population Estimation and Modeling (Duane Diefenbach 2011)
  • Quantitative Methods in Ecology (Tyler Wagner 2011)
  • Quantitative Methods in Ecology (Tyler Wagner 2010)
  • Quantitative Methods in Ecology (Tyler Wagner 2009)
  • Analysis of Animal Location Data (Duane Diefenbach 2008)
  • Classic Ecology (Duane Diefenbach 2008)
  • Estimation of Fish and Wildlife Population Parameters (Duane Diefenbach 2007)
  • Estimation of Fish and Wildlife Population Parameters (Duane Diefenbach 2007)
  • Analysis of Animal Location Data (Duane Diefenbach 2006)
  • Animal BIology (W. David Walter 2006)
  • Estimation of Fish and Wildlife Population Parameters (Duane Diefenbach 2005)
  • Estimation of Fish and Wildlife Population Parameters (Duane Diefenbach 2005)
  • Estimation of Fish and Wildlife Population Parameters (Duane Diefenbach 2005)
  • Applied GIS in Natural Resources (Dan Dauwalter, William Fisher, W. David Walter 2005)
  • Analysis of Animal Location Data (Duane Diefenbach 2004)
  • Estimation of Fish and Wildlife Population Parameters (Duane Diefenbach 2002)
  • Estimation of Fish and Wildlife Population Parameters (Duane Diefenbach 2001)
  • Estimation of Fish and Wildlife Population Parameters (Duane Diefenbach 2000)
 

Current Staff

Federal Staff: 3

Masters Students: 4

Phd Students: 4

Post Docs: 2

University Staff: 1

5 Year Summary

Students graduated: 18

Scientific Publications: 83

Presentations: 119

Pennsylvania Cooperative Fish and Wildlife Research Unit Cooperators

  1. Pennsylvania Fish and Boat Commission
  2. Pennsylvania Game Commission
  3. Pennsylvania State University
  4. U.S. Fish and Wildlife Service
  5. U.S. Geological Survey
  6. Wildlife Management Institute