Using Statistical Population Reconstruction to Estimate Demographic Trends in Small Game Populations

2010 ◽  
Vol 74 (2) ◽  
pp. 310-317 ◽  
Author(s):  
Kristin Broms ◽  
John R. Skalski ◽  
Joshua J. Millspaugh ◽  
Christian A. Hagen ◽  
John H. Schulz
Keyword(s):  
Demographic Trends ◽  
Statistical Population ◽  
Small Game ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

scholarly journals Random Effects Models and Multistage Estimation Procedures for Statistical Population Reconstruction of Small Game Populations

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e65244 ◽  
Author(s):  
Christopher M. Gast ◽  
John R. Skalski ◽  
Jason L. Isabelle ◽  
Michael V. Clawson
Keyword(s):  
Random Effects ◽  
Statistical Population ◽  
Random Effects Models ◽  
Small Game ◽  
Estimation Procedures ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

scholarly journals Comparison of Statistical Population Reconstruction Using Full and Pooled Adult Age-Class Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (3) ◽  
pp. e33910 ◽  
Author(s):  
John R. Skalski ◽  
Joshua J. Millspaugh ◽  
Michael V. Clawson
Keyword(s):  
Statistical Population ◽  
Adult Age ◽  
Age Class ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

Performing statistical population reconstruction using Program PopRecon 2.0

2017 ◽  
Vol 41 (3) ◽  
pp. 581-589 ◽  
Author(s):  
Michael V. Clawson ◽  
John R. Skalski ◽  
James M. Lady ◽  
Christian A. Hagen ◽  
Joshua J. Millspaugh ◽  
...  
Keyword(s):  
Statistical Population ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

scholarly journals Estimating Mountain Lion Abundance in Arizona Using Statistical Population Reconstruction

2019 ◽  
Vol 84 (1) ◽  
pp. 85-95
Author(s):  
April L. Howard ◽  
Matthew J. Clement ◽  
Frances R. Peck ◽  
Esther S. Rubin
Keyword(s):  
Statistical Population ◽  
Mountain Lion ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

Abundance trends of American martens in Michigan based on statistical population reconstruction

2011 ◽  
Vol 75 (8) ◽  
pp. 1767-1773 ◽  
Author(s):  
John R. Skalski ◽  
Joshua J. Millspaugh ◽  
Michael V. Clawson ◽  
Jerrold L. Belant ◽  
Dwayne R. Etter ◽  
...  
Keyword(s):  
Statistical Population ◽  
Abundance Trends ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction ◽  
American Martens

A COMPARISON OF MULTINOMIAL LIKELIHOOD AND CHI-SQUARE APPROACHES TO STATISTICAL POPULATION RECONSTRUCTION

2021 ◽  
pp. 1-17
Author(s):  
SERGEY S. BERG ◽  
LAURA L. PALMER
Keyword(s):  
Auxiliary Information ◽  
Lontra Canadensis ◽  
Model Parameters ◽  
Chi Square ◽  
Suitable Alternative ◽  
Statistical Population ◽  
Accuracy And Precision ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction ◽  
Potential Benefits

Statistical population reconstruction using age-at-harvest and catch-effort data has recently emerged as a robust and versatile approach to estimating the demographic dynamics of harvested populations of wildlife. Although most reconstruction efforts employ the multinomial likelihood approach to identify which set of model parameters best describes the observed age-at-harvest and catch-effort data, using a [Formula: see text] objective function may provide a suitable alternative with a less steep learning curve. Using a harvested population of North American river otter (Lontra canadensis) in Kentucky as a case study, we investigated the performance of population reconstruction using multinomial likelihood and chi-square formulations. We simulated populations under a range of conditions and found that both the accuracy and precision of reconstruction estimates were similar under the two approaches. These results illustrate the potential benefits of using the [Formula: see text] approach, which may also allow agencies to incorporate auxiliary information from studies for which the corresponding likelihood contributions have yet to be developed.

scholarly journals Utility of radio-telemetry data for improving statistical population reconstruction

2017 ◽  
Vol 81 (3) ◽  
pp. 535-544 ◽  
Author(s):  
Sergey S. Berg ◽  
John D. Erb ◽  
John R. Fieberg ◽  
James D. Forester
Keyword(s):  
Radio Telemetry ◽  
Telemetry Data ◽  
Statistical Population ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

scholarly journals Model evaluation in statistical population reconstruction

2012 ◽  
Vol 18 (3) ◽  
pp. 225-234 ◽  
Author(s):  
John R. Skalski ◽  
Michael V. Clawson ◽  
Joshua J. Millspaugh
Keyword(s):  
Model Evaluation ◽  
Statistical Population ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

scholarly journals The utility of auxiliary data in statistical population reconstruction

2013 ◽  
Vol 19 (2) ◽  
pp. 147-155 ◽  
Author(s):  
Michael V. Clawson ◽  
John R. Skalski ◽  
Joshua J. Millspaugh
Keyword(s):  
Statistical Population ◽  
Auxiliary Data ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction

Statistical population reconstruction to evaluate grizzly bear trends in British Columbia, Canada

Ursus ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 1 ◽  
Author(s):  
Ian W. Hatter ◽  
Garth Mowat ◽  
Bruce N. McLellan
Keyword(s):  
British Columbia ◽  
Grizzly Bear ◽  
Statistical Population ◽  
Statistical Population Reconstruction ◽  
Population Reconstruction
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