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COLORADO BIGHORN SHEEP MANAGEMENT PLAN 2009−2019

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Chapter 3<br />

INVENTORY & POPULATION ESTIMATION<br />

Reliable data on bighorn sheep (Ovis canadensis)<br />

herd composition, recruitment and population numbers<br />

are needed to develop and evaluate population<br />

management goals and objectives and to make<br />

informed management decisions. Estimates of these<br />

population parameters should be based on rigorously<br />

collected data with known levels of precision whenever<br />

possible. However, many of Colorado’s bighorn sheep<br />

populations occur in remote, rugged areas with limited<br />

human access making this information expensive and<br />

time consuming to collect. Because it will not be<br />

possible to acquire precise estimates of these parameters<br />

for all herds, inventory methods need to be efficient and<br />

populations (and herds within populations) should be<br />

prioritized to best use available resources.<br />

ManageMent goals & strategies<br />

Management Goal<br />

All bighorn sheep Data Analysis Units should<br />

be regularly surveyed with frequency and intensity<br />

dependent on their prioritization.<br />

Strategy: At a minimum, all bighorn sheep populations<br />

should be surveyed every two years by either helicopter<br />

or by coordinated ground surveys to obtain herd<br />

composition, minimum population numbers, status of<br />

individual herds, and population trends. Primary and<br />

secondary core (i.e., Tier 1 and Tier 2) (see Ch. 1, pp.<br />

13 for definitions). DAUs and other populations used<br />

as source stock for translocations should be surveyed<br />

or modeled annually. Surveys of Rocky Mountain<br />

bighorn herds should be conducted during winter (Dec-<br />

Mar) whenever possible, with December being the<br />

preferred month in most DAUs. When summer surveys<br />

are necessary, efforts to collect winter lamb:ewe ratios<br />

of at least a subsample of the DAU are recommended, if<br />

possible. Surveys should not be conducted immediately<br />

prior to or during a bighorn sheep hunting season to<br />

avoid potential impacts to hunter experience.<br />

25<br />

Strategy: Population estimates using mark-resight<br />

or other statistically rigorous techniques should be<br />

conducted periodically (e.g., once every 10-15 years)<br />

in Tier 1 and Tier 2 DAUs (or representative herds<br />

within those DAUs) and in other populations of<br />

special interest dependent on funding, feasibility of<br />

marking an adequate sample, and access. During<br />

these studies, marked animals also should be used<br />

to estimate survival rates and document seasonal<br />

ranges and movements. Alternatively, more frequent<br />

inventory and monitoring of select herds within<br />

DAUs may be considered as a means of tracking<br />

bighorn population performance.<br />

Strategy: Population modeling should be used to<br />

develop annual population projections and population<br />

trends in Tier 1 and 2 DAUs and in other populations<br />

or herds where mark-resight surveys have been<br />

conducted.<br />

BaCkground & literature review<br />

Inventory<br />

Bighorn sheep populations have been inventoried<br />

via ground, fixed wing and helicopter surveys. Data<br />

from these surveys have been used to estimate the<br />

size of bighorn populations using various methods<br />

including using count data without adjustments for<br />

sightability (Cook et al. 1990, Bodie et al. 1990,<br />

Karasek et al. 1992), with standard upward adjustments<br />

(15-40%) (Skjonsberg 1988, George et al. 1996, Utah<br />

Division of Wildlife unpubl. data 2007), in sightability<br />

models (Bodie et al. 1995, Bernatas and Nelson<br />

2004), with double-count methods (Magnusson et<br />

al. 1978, Graham and Bell 1989), and with markresight<br />

methods (Neal et al. 1993, George et al.<br />

1996, McClintock and White 2007). In some cases,<br />

population estimates have been used along with other<br />

parameter estimates in population models to project<br />

annual population numbers and trends.

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