Proceedings of the fifth mountain lion workshop: 27
Proceedings of the fifth mountain lion workshop: 27
Proceedings of the fifth mountain lion workshop: 27
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PROCEEDINGS OF THE FIFTH MOUNTAIN LION WORKSHOP 91<br />
MOUNTAIN LION-HUMAN AND MOUNTAIN LION-LIVESTOCK INCIDENTS<br />
IN MONTANA<br />
Shawn J. Riley. Department <strong>of</strong> Natural Resources, Cornell University, Ithaca, NY 14853, USA.<br />
Keith E. Aune. Montana Fish, Wildlife and Parks, Bozeman, MT 59717, USA.<br />
We present data on 245 <strong>mountain</strong> <strong>lion</strong> incidents reported in Montana between July 1989 and July 1995. Incidents<br />
were defined as an interaction between <strong>mountain</strong> <strong>lion</strong>s and humans or livestock, initiated by <strong>the</strong> <strong>mountain</strong> <strong>lion</strong>, that was<br />
perceived serious enough to warrant attention by wildlife agencies. Combined incidents increased from 23/yr to 48/yr<br />
throughout <strong>the</strong> period. There were 123 (50.2%) incidents involving livestock and 122 involving humans. The number <strong>of</strong><br />
livestock incidents increased regularly from 8 in 1989-90 to 35 in 1994-95. Sheep (67%) were most frequently preyed upon<br />
by <strong>mountain</strong> <strong>lion</strong>s followed in rank by horses, goats, cattle, poultry, llamas and rabbits. Human incidents were highest in<br />
1991-92 (n=<strong>27</strong>) and declined steadily to 14 in 1994-95. The peak time period for both livestock and human incidents was<br />
between June and November. Age and physical condition <strong>of</strong> <strong>mountain</strong> <strong>lion</strong>s killed in control actions is characterized as<br />
young (1-4 yr; 61%#2 yr) and in good condition. There is no difference in ei<strong>the</strong>r age structure or condition class <strong>of</strong> <strong>lion</strong>s<br />
involved in livestock vs. human incidents. Male <strong>mountain</strong> <strong>lion</strong>s were involved in significantly more livestock incidents than<br />
females, but sex ratios <strong>of</strong> <strong>lion</strong>s involved in human incidents were not significantly different from 50:50. Livestock incidents<br />
occurred in central Montana where sheep production is greatest and in western valleys where <strong>the</strong>re is a greater proportion <strong>of</strong><br />
hobby ranchers. Human incidents mostly occurred near western inter<strong>mountain</strong> valley communities. A record <strong>of</strong> <strong>the</strong><br />
frequency <strong>of</strong> calls to agencies by people involved in incidents inflates <strong>the</strong> reporting <strong>of</strong> actual incidents. We discuss<br />
biological, socioeconomic, and policy factors affecting rates <strong>of</strong> both livestock and human incidents.<br />
DEVELOPING AN ADAPTIVE MANAGEMENT PROGRAM FOR MOUNTAIN<br />
LIONS (Puma concolor) IN MONTANA<br />
Shawn J. Riley. New York Cooperative Fish and Wildlife Research Unit, Cornell University, Ithaca, NY 14853, USA.<br />
Richard A. Malecki. New York Cooperative Fish and Wildlife Research Unit, Cornell University, Ithaca, NY 14853, USA.<br />
We describe research initiated in Montana during 1995 to help reduce <strong>the</strong> uncertainty associated with decisions<br />
concerning <strong>mountain</strong> <strong>lion</strong> management in a rapidly changing environment. The American West is experiencing <strong>the</strong> most<br />
massive redistribution <strong>of</strong> humans since <strong>the</strong> early land-rush days. Of <strong>the</strong> 10 US states with <strong>the</strong> fastest growing human<br />
populations, seven are in <strong>the</strong> West. At <strong>the</strong> same time, <strong>mountain</strong> <strong>lion</strong> populations are reported to be reaching historically high<br />
levels in many <strong>of</strong> <strong>the</strong>se areas. Human-<strong>mountain</strong> <strong>lion</strong> interactions are also reported to be increasing and creating difficult<br />
choices for people living and working in <strong>the</strong> region, as well as for agencies responsible for <strong>mountain</strong> <strong>lion</strong> management. We<br />
use a risk assessment approach that identifies real or objective risks associated with <strong>mountain</strong> <strong>lion</strong>s and perceived or<br />
subjective risks. Both risks have associated benefits and costs to society or management that we are measuring with<br />
economic methodology. Socio-economic literature suggests a bimodal distribution <strong>of</strong> beliefs about such risks, skewed to<br />
both over and under estimation <strong>of</strong> <strong>the</strong> objective risk. The discrepancy between what <strong>the</strong> public perceives and those risks that<br />
experts believe is scientifically founded creates significant policy dilemmas. Over-estimation <strong>of</strong> <strong>the</strong> risk increases<br />
management costs. Underestimation may initially lower costs, but creates a potentially volatile whiplash <strong>of</strong> negative<br />
sentiment in <strong>the</strong> event <strong>of</strong> low probability-high consequence <strong>mountain</strong> <strong>lion</strong>-human interactions. To understand and manage<br />
<strong>the</strong> objective risk, we are comparing distribution and abundance data for <strong>mountain</strong> <strong>lion</strong>s with variables pertaining habitat,<br />
prey, land-use, humans, policy governing <strong>mountain</strong> <strong>lion</strong>s, and <strong>the</strong> historical influence <strong>of</strong> wolves. For <strong>the</strong> subjective risk, we<br />
are using mail and telephone surveys to gain insights into <strong>the</strong> knowledge, beliefs, attitudes and underlying assumptions <strong>of</strong><br />
both <strong>the</strong> public and wildlife pr<strong>of</strong>essionals about <strong>mountain</strong> <strong>lion</strong>s. We are also using an economic method <strong>of</strong> "expressed<br />
preference" to estimate <strong>the</strong> public's acceptance <strong>of</strong> risk associated with <strong>mountain</strong> <strong>lion</strong>s. Results will be formulated into<br />
conceptual models as well as an objective feedback management function based upon historical data but designed for<br />
systematic updating.<br />
MOUNTAIN LION PREDATION ON BIGHORN SHEEP