Modeling the population dynamics of bighorn sheep
Read Online

Modeling the population dynamics of bighorn sheep a synthesis of literature by Craig W. McCarty

  • 373 Want to read
  • ·
  • 60 Currently reading

Published by Colorado Division of Wildlife in Denver, Colo .
Written in English



  • Colorado.


  • Bighorn sheep -- Colorado.,
  • Mammal populations -- Colorado.,
  • Biological models -- Colorado.

Book details:

Edition Notes

Statementby Craig W. McCarty and Michael W. Miller.
SeriesSpecial report / Colorado Division of Wildlife,, no. 73, Special report (Colorado. Division of Wildlife) ;, no. 73.
ContributionsMiller, Michael W., Colorado. Terrestrial Wildlife Section.
LC ClassificationsQL737.U53 M245 1998
The Physical Object
Paginationiv, 35 p. :
Number of Pages35
ID Numbers
Open LibraryOL122118M
LC Control Number99489015

Download Modeling the population dynamics of bighorn sheep


6. Population Models and Evaluation of Models. T he Bureau of Land Management (BLM) Wild Horses and Burros Management Handbook states that the WinEquus model, 1 developed by Stephen Jenkins at the University of Nevada, Reno, “will be used during gather or herd management area planning to analyze and compare the effects of proposed wild horse management” and “to identify whether any of. We conducted a retrospective exploratory analysis of desert bighorn sheep population dynamics on San Andres National Wildlife Refuge (SANWR), New Mexico, , by modeling sheep population. Population Dynamics and Behavior of Bighorn Sheep with Infectious Keratoconjunctivitis Article (PDF Available) in Journal of Wildlife Management 71(2) - April with 40 Reads. This item: Ecology and Management of Large Mammals in North America by Stephen Demarais Paperback $ Only 1 left in stock (more on the way). Ships from and sold by (4).

Disease (primarily pneumonia) has been linked to the episodic decline of bighorn sheep populations throughout their range, including in Idaho. Yet, a complete understanding of the factors that influence susceptibility of bighorn sheep to disease, or of the factors that influence the spread of disease within and among populations, remains elusive. I try to integrate multiple different scientific fields, but my specific background is in field ecology, behavior and mathematical modeling. There are two central themes in my research: (1) the integration of empirical data and mathematical modeling, and (2) the effects of host behavior on disease dynamics. The Mountain Ungulate Research Initiative: a CollaboratIve Effort to Advance Understanding of Bighorn Sheep and Mountain Goat Ecology by Robert A. Garrott,* Fish and Wildlife Management Program, Ecology Department, Montana State University, Lewis Hall, Bozeman, Montana , [email protected] Modeling Population Dynamics. Pages in S. Demarais and P. R. Krausman, eds. Ecology and Management of Large Mammals in North America. Prentice-Hall, Upper Saddle River, New Jersey, USA. White, G. C. Population viability analysis: data requirements and essential analyses. Pages in L. Boitani and T. K. Fuller, editors.

Bighorn sheep population supportable by (A) Total km2 of private land within (A) Total km2 of domestic sheep grazing or trailing allotments within (A) Bighorn sheep population supportable by (A) without private land and allotments Hells Canyon 1, 2, 77 1, Lower Salmon River 1, 57 Selway 0 0   Ecology and Management of Large Mammals in North America / Edition 1 Human Values Toward Large Mammals. Population Parameters and Their Estimation. Modeling Population Dynamics. Nutritional Ecology. Black Bear. Brown (Grizzly) and Polar Bear. Collared Peccary. Bison. Mountain Goat. Dall's and Stone's Sheep. Bighorn Sheep. Muskox 3/5(1). : Ecology and Management of Large Mammals in North America () by Demarais, Stephen; Krausman, Paul R. and a great selection of similar New, Used and Collectible Books available now at great Range: $ - $ This book aims to reconcile theoretical models of population dynamics with what is currently known about the population dynamics of large mammalian herbivores. It arose from a working group established at the National Center for Ecological Analysis and Synthesis at the University of California, Santa Barbara, to address the need for models that better accommodate environmental variability.