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24 results found
Monitoring ruffed grouse (Bonasa umbellus) in the Black Hills National Forest is a priority for forest managers due to the bird's status as the management indicator species for quaking aspen (Populus tremuloides) and its value to hunters and other recreational groups. We conducted drumming surveys…
Author(s): Christopher P. Hansen, Mark A. Rumble, Joshua J. Millspaugh
Keywords: detection probability, indicator species, monitoring, occupancy, quaking aspen, ruffed grouse
Source: Gen. Tech. Rep. RMRS-GTR-246. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 36 p.
Year: 2010
Occupancy analysis and its ability to account for differential detection probabilities is important for studies in which detecting echolocation calls is used as a measure of bat occurrence and activity. We examined the feasibility of remotely acquiring bat encounter histories to estimate detection…
Author(s): Marcos P. Gorresen, Adam C. Miles, Christopher M. Todd, Frank J. Bonaccorso, Theodore J. Weller
Keywords: acoustic detection, Anabat, bat, detection probability, echolocation, occupancy, sampling design
Source: Journal of Mammalog. 89(1):11–17
Year: 2008
Accurate and precise estimates of numbers of animals are vitally needed both to assess population status and to evaluate management decisions. Various methods exist for counting birds, but most of those used with territorial landbirds yield only indices, not true estimates of population size. The…
Author(s): D. Archibald McCallum
Keywords: abundance of cues, availability, bird survey, census, conspicuousness, detectability, detection probability, distance sampling, double sampling, double-observer sampling, index ratio, point count, removal sampling
Source: In: Ralph, C. John; Rich, Terrell D., editors 2005. Bird Conservation Implementation and Integration in the Americas: Proceedings of the Third International Partners in Flight Conference. 2002 March 20-24; Asilomar, California, Volume 2 Gen. Tech. Rep. PSW-GTR-191. Albany, CA: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Research Station: p. 754-761
Year: 2005
We used 4-hr tape recordings to assess singing activity of a Least Bell's Vireo (Vireo belli pusillus) on 7 d distributed throughout the breeding season of 2001. We logged 9873 songs, for a mean singing rate of 5.84 min-1, but despite this level of activity, the bird was silent during 33 percent of…
Author(s): Thomas A. Scott, Pey-Yi Lee, Gregory C. Greene, D. Archibald McCallum
Keywords: detection probability, singing rate, bird survey, bioacoustics, Vireo belli, Least Bell's Vireo, endangered species
Source: In: Ralph, C. John; Rich, Terrell D., editors 2005. Bird Conservation Implementation and Integration in the Americas: Proceedings of the Third International Partners in Flight Conference. 2002 March 20-24; Asilomar, California, Volume 2 Gen. Tech. Rep. PSW-GTR-191. Albany, CA: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Research Station: p. 845-853
Year: 2005
The use of bird counts as indices has come under increasing scrutiny because assumptions concerning detection probabilities may not be met, but there also seems to be some resistance to use of model-based approaches to estimating abundance. We used data from the United States Forest Service,…
Author(s): Frank R. Thompson, Frank A. La Sorte
Keywords: abundance, detection probability, distance models, point counts, Poisson models, removal models, songbirds, Southeastern United States
Source: Journal of Wildlife Management. 72(8): 1674-1682.
Year: 2008
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…
Author(s): Christopher P. Hansen, Joshua J. Millspaugh, Mark A. Rumble
Keywords: Black Hills National Forest, Bonasa umbellus, detection probability, drumming surveys, occupancy modeling, ruffed grouse
Source: Journal of Wildlife Management. 75(1): 71-77.
Year: 2011
Montane forests contribute significantly to regional biodiversity. Long-term monitoring data, often located along hiking trails, suggests that several indicator species of this ecosystem have declined in recent decades. Declining montane bird populations have been attributed to anthropogenic…
Author(s): William V. Deluca, David I. King
Keywords: abundance, blackpoll warbler, Dail-Madsen model, detection probability, montane forests, recruitment, White Mountains
Source: The Journal of Wildlife Management. 78(3): 494-502.
Year: 2014
Many monitoring programmes are successful at monitoring common species, whereas rare species, which are often of highest conservation concern, may be detected infrequently. Study designs that increase the probability of detecting rare species at least once over the study period, while collecting…
Author(s): Jamie S. Sanderlin, William M. Block, Joseph L. Ganey
Keywords: avian community, Bayesian hierarchical model, cost-efficient, detection probability, occupancy, rare species, simulation study, species richness
Source: Journal of Applied Ecology. 51: 560-870.
Year: 2014
The range expansion by barred owls (Strix varia) into western North America has raised considerable concern regarding their potential effects on declining northern spotted owl (Strix occidentalis caurina) populations, yet most information on the occurrence of barred owls in the…
Author(s): J. David Wiens, Robert G. Anthony, Eric D. Forsman
Keywords: barred owl, detection probability, northern spotted owl, occupancy modeling, Oregon, Strix occidentalis caurina, Strix varia
Source: The Journal of Wildlife Management. 75(3): 531-538
Year: 2011
Geospatial species sample data (e.g., records with location information from natural history museums or annual surveys) are rarely collected optimally, yet are increasingly used for decisions concerning our biological heritage. Using computer simulations, we examined factors that could affect the…
Author(s): Gordon C. Reese, Kenneth R. Wilson, Jennifer A. Hoeting, Curtis H. Flather
Keywords: autologistic regression model, detection probability, environmental data error, habitat relationship modeling, prediction accuracy assessment, roadside survey, sample data, sample size, sampling bias, spatial contiguity, species range
Source: Ecological Applications. 15(2): 554-564.
Year: 2005
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