Paul B Conn

Summary

Affiliation: Colorado State University
Country: USA

Publications

  1. ncbi request reprint A general model for the analysis of mark-resight, mark-recapture, and band-recovery data under tag loss
    Paul B Conn
    Department of Statistics, North Carolina State University, Campus Box 8203, Raleigh, North Carolina 27695, USA
    Biometrics 60:900-9. 2004
  2. ncbi request reprint Estimating the abundance of mouse populations of known size: promises and pitfalls of new methods
    Paul B Conn
    Department of Fishery and Wildlife Biology, Colorado State University, Wagar Hall, Fort Collins, Colorado 80523, USA
    Ecol Appl 16:829-37. 2006
  3. ncbi request reprint Adjusting age and stage distributions for misclassification errors
    Paul B Conn
    Colorado Cooperative Fish and Wildlife Research Unit, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado 80523, USA
    Ecology 88:1977-83. 2007
  4. doi request reprint Bayesian analysis of wildlife age-at-harvest data
    Paul B Conn
    Department of Fish, Wildlife, and Conservation Biology, Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, Fort Collins, Colorado 80523, USA
    Biometrics 64:1170-7. 2008
  5. pmc Integrated population modeling of black bears in Minnesota: implications for monitoring and management
    John R Fieberg
    Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St Paul, Minnesota, United States of America
    PLoS ONE 5:e12114. 2010
  6. ncbi request reprint Combining multistate capture-recapture data with tag recoveries to estimate demographic parameters
    William L Kendall
    USGS Patuxent Wildlife Research Center, Laurel, Maryland 20708, USA
    Ecology 87:169-77. 2006

Detail Information

Publications6

  1. ncbi request reprint A general model for the analysis of mark-resight, mark-recapture, and band-recovery data under tag loss
    Paul B Conn
    Department of Statistics, North Carolina State University, Campus Box 8203, Raleigh, North Carolina 27695, USA
    Biometrics 60:900-9. 2004
    ..We illustrate the application of our model using a study of lesser snow geese (Chen caerulescens caerulescens)...
  2. ncbi request reprint Estimating the abundance of mouse populations of known size: promises and pitfalls of new methods
    Paul B Conn
    Department of Fishery and Wildlife Biology, Colorado State University, Wagar Hall, Fort Collins, Colorado 80523, USA
    Ecol Appl 16:829-37. 2006
    ..Finally, we show that simultaneous analysis of data from low abundance populations can yield viable abundance estimates...
  3. ncbi request reprint Adjusting age and stage distributions for misclassification errors
    Paul B Conn
    Colorado Cooperative Fish and Wildlife Research Unit, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado 80523, USA
    Ecology 88:1977-83. 2007
    ..We analyze age-structured harvest records from black bears in Pennsylvania to illustrate how incorporating misclassification errors leads to changes in point estimates and provides a measure of precision...
  4. doi request reprint Bayesian analysis of wildlife age-at-harvest data
    Paul B Conn
    Department of Fish, Wildlife, and Conservation Biology, Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, Fort Collins, Colorado 80523, USA
    Biometrics 64:1170-7. 2008
    ..Because age-at-harvest data are often readily obtained, we argue that this type of analysis provides a valuable strategy for wildlife population monitoring...
  5. pmc Integrated population modeling of black bears in Minnesota: implications for monitoring and management
    John R Fieberg
    Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St Paul, Minnesota, United States of America
    PLoS ONE 5:e12114. 2010
    ..g., age and sex) are often readily available. Increasingly, integrated population models are used for natural resource management because they synthesize various relevant data into a single analysis...
  6. ncbi request reprint Combining multistate capture-recapture data with tag recoveries to estimate demographic parameters
    William L Kendall
    USGS Patuxent Wildlife Research Center, Laurel, Maryland 20708, USA
    Ecology 87:169-77. 2006
    ..Our analysis produced marginal improvement in precision, due to relatively few recoveries, but we demonstrate how precision could be further improved with increases in the probability that a retrieved tag is reported...