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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Confronting Uncertainty In Wildlife Management: Performance Of Grizzly Bear Management, Kyle A. Artelle, Sean C. Anderson, Andrew B. Cooper, Paul C. Paquet, John D. Reynolds, Chris T. Darimont
Confronting Uncertainty In Wildlife Management: Performance Of Grizzly Bear Management, Kyle A. Artelle, Sean C. Anderson, Andrew B. Cooper, Paul C. Paquet, John D. Reynolds, Chris T. Darimont
Wildlife Population Management Collection
Scientific management of wildlife requires confronting the complexities of natural and social systems. Uncertainty poses a central problem. Whereas the importance of considering uncertainty has been widely discussed, studies of the effects of unaddressed uncertainty on real management systems have been rare. We examined the effects of outcome uncertainty and components of biological uncertainty on hunt management performance, illustrated with grizzly bears (Ursus arctos horribilis) in British Columbia, Canada. We found that both forms of uncertainty can have serious impacts on management performance. Outcome uncertainty alone – discrepancy between expected and realized mortality levels – led to excess mortality in …
Piggery Perspectives On Wildlife Management And Research, David Fraser
Piggery Perspectives On Wildlife Management And Research, David Fraser
Wildlife Population Management Collection
No abstract provided.
Estimation Of Harvest Rate Of Black Bears From Age And Sex Data, David Fraser, James F. Gardner, George B. Kolenosky, Stewart Strathearn
Estimation Of Harvest Rate Of Black Bears From Age And Sex Data, David Fraser, James F. Gardner, George B. Kolenosky, Stewart Strathearn
Wildlife Population Management Collection
No abstract provided.
Estimation Of Harvest Rate And Vulnerability From Age And Sex Data, J. E. Pahoheimo, David Fraser
Estimation Of Harvest Rate And Vulnerability From Age And Sex Data, J. E. Pahoheimo, David Fraser
Wildlife Population Management Collection
A nonlinear least-squares procedure is developed to estimate harvest rate and differential vulnerability in wildlife populations that are harvested with 1 segment of the population more able than another. The method requires age data by category from a series of harvests, plus information on accumulated harvest effort, and assumes that the nonharvest mortality rate is the same for the categories. The data need not be from consecutive harvests, as long as the effort is known for missing Monte Carlo simulations were done to verify the estimation procedure. An example shows the application of the method to moose (Alces alces) harvest …