Occupancy modeling of ruffed grouse in the Black Hills National Forest

Christopher P. Hansen, Joshua J. Millspaugh, Mark A. Rumble

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Ruffed grouse (Bonasa umbellus) are a popular game bird and the management indicator species for quaking aspen (Populus tremuloides) in the Black Hills National Forest (BHNF), which requires development of a robust monitoring protocol to evaluate trends in ruffed grouse populations. We used roadside drumming surveys in spring 2007 and 2008 to estimate ruffed grouse occupancy and detection probabilities in the BHNF while simultaneously assessing the influence of sampling and site covariates on these processes. Ruffed grouse occupancy estimates were constant between spring 2007 and 2008 ( = 0.12, SE = 0.03) and were positively influenced by the amount of aspen surrounding the site. Detection probability estimates were constant between spring 2007 and 2008 (p = 0.27, SE = 0.06) and were influenced by survey date in a quadratic form and negatively influenced by wind speed and time of the survey. Collectively, our results demonstrated that ruffed grouse occupancy and detection probabilities in the BHNF were low. Occupancy could be increased by increasing the extent of aspen. To improve monitoring efficiency and maximize probability of detecting ruffed grouse, ruffed grouse monitoring should be conducted during the peak of drumming (mid-May), during favorable weather conditions such as low wind speeds and little precipitation, and during early morning, near sunrise.

Original languageEnglish
Pages (from-to)71-77
Number of pages7
JournalJournal of Wildlife Management
Volume75
Issue number1
DOIs
StatePublished - Jan 2011

Keywords

  • Black Hills National Forest
  • Bonasa umbellus
  • detection probability
  • drumming surveys
  • occupancy modeling
  • ruffed grouse

Fingerprint

Dive into the research topics of 'Occupancy modeling of ruffed grouse in the Black Hills National Forest'. Together they form a unique fingerprint.

Cite this