Ruffed and Blue Grouse Habitat Use in Southeastern Idaho

Stauffer, Dean F.; Peterson, Steven R.

doi:10.2307/3801552

Cited by 17 publications

(15 citation statements)

References 18 publications

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“…Many Design 1 studies (e.g., Neu et al 1974, Stauffer and Peterson 1985, Medcraft and Clark 1986, Stinnett and Klebenow 1986) assume a relationship between density and relative preference. This assumption is violated if detectability of animals varies among habitats resulting in biased estimates of use and potentially erroneous selectivity inferences.…”

Section: Tions Effects Of Inheritance And/or Traditional Use Of Resomentioning

confidence: 99%

Study Designs and Tests for Comparing Resource Use and Availability

Thomas¹,

Taylor²

1990

The Journal of Wildlife Management

320

229

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Section: Tions Effects Of Inheritance And/or Traditional Use Of Resomentioning

confidence: 99%

Study Designs and Tests for Comparing Resource Use and Availability

Thomas¹,

Taylor²

1990

The Journal of Wildlife Management

320

229

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“…Blue grouse (Dendragapus obscurus) in the Rocky Mountain region of the United States typically overwinter in open stands of Douglas-fir (Pseudotsuga menziesii) at elevations above 1830 m (Marshall 1946;Cade 1985;Stauffer and Peterson 1985). Normal climatic conditions during winter include nearly continuous winds and temperatures below freezing.…”

Section: Introductionmentioning

confidence: 99%

“…L'estimation du taux de metabolisme, de la consommation et du taux d'assimilation a un regime de Sapins de Douglas a permis de predire un budget energetique positif au cours de I'hiver chez le Tetras sombre. [Traduit par la redaction] Introduction Blue grouse (Dendragapus obscurus) in the Rocky Mountain region of the United States typically overwinter in open stands of Douglas-fir (Pseudotsuga menziesii) at elevations above 1830 m (Marshall 1946;Cade 1985;Stauffer and Peterson 1985). Normal climatic conditions during winter include nearly continuous winds and temperatures below freezing.…”

mentioning

confidence: 99%

Winter energy requirements of blue grouse

Pekins¹,

Gessaman²,

Lindzey³

1992

Can. J. Zool.

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We measured the effects of temperature (T,) on the metabolic rate of 6 blue grouse (Dendragapus obscurus) during winter with indirect respiration calorimetry. The standard metabolic rate was 0.8 12 L O2 . (kg0.734)-1 h-' and was 24% higher than that predicted allometrically. The lower critical temperature (T,) of fasted grouse was -5°C; metabolism increased linearly below -5°C. The heat increment associated with a Douglas-fir (Pseudotsugu menziesii) diet lowered the 7;, by 5 "C. From -5 to -20°C, the metabolism of fasted and fed grouse increased by 30 and 12 % , respectively. A positive winter energy balance was predicted for blue grouse from estimates of the field metabolic rate and the consumption and assimilation rates of a Douglas-fir diet. PEKINS, P. J., GESSAMAN, J. A., et LINDZEY, F. G. 1992. Winter energy requirements of blue grouse. Can. J. Zool. 70 : 22 -24. Nous avons mesure les effets de la temperature (T,) sur le taux de metabolisme de six Tetras sombres (Dendragapus obscurus) au cours de I'hiver par calorimetric respiratoire indirecte. Le taux de metabolisme de base a Cte evalue a 0,812 LO2 . (kg-0.7")-' . h-I, valeur de 24% plus elevee que la valeur estimee d'aprks l'allometrie. Le seuil critique inferieur (T,) de tetras soumis a un jeQne etait de -5°C; le metabolisme augmentait de fagon lineaire aux temperatures inferieures a -5°C. L'augmentation de chaleur associee a un regime alimentaire de Sapin de Douglas (Pseudotsugu menziesii) abaissait le seuil 7;, de 5°C. Entre -5 et -20°C, le metabolisme augmentait de 30% chez les tetras soumis au jeQne et de 12% chez des tetras nourris. L'estimation du taux de metabolisme, de la consommation et du taux d'assimilation a un regime de Sapins de Douglas a permis de predire un budget energetique positif au cours de I'hiver chez le Tetras sombre. [Traduit par la redaction] Introduction Blue grouse (Dendragapus obscurus) in the Rocky Mountain region of the United States typically overwinter in open stands of Douglas-fir (Pseudotsuga menziesii) at elevations above 1830 m (Marshall 1946;Cade 1985;Stauffer and Peterson 1985). Normal climatic conditions during winter include nearly continuous winds and temperatures below freezing. Despite these conditions, winter mortality of blue grouse is probably minimal (Lewis and Zwickel 1982;Cade 1985), and the data of Redfield (1973) and Harju (1974) imply that blue grouse maintain or gain weight during winter, although no data are available for individual grouse. Blue grouse have apparently developed physiological and behavioral adaptations to effectively cope with the energetic demands of their winter environment.The winter occupation of high altitude, snowbound habitat by blue grouse requires autumnal migration to higher elevations, a behavior much in contrast to that of most northern homeotherms. Consequently, the maintenance of a favorable winter energy balance represents a unique ecological situation and adaptive strategy. Energetic studies are integral to the understanding of the winter ecology and adaptations of blue...

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“…Subsets of these data with eight variables (percent of area in deciduous cover or open, tree canopy cover, canopy height, and number of small stems, all trees, deciduous trees, and coniferous trees) and five variables (tree canopy cover, canopy height, and number of small stems, deciduous trees, and coniferous trees) were also analyzed. The third data set was composed of 454 observations with 12 variables from sampling points along transects in southeastern Idaho (Stauffer and Peterson 1985). Variables were tree, shrub, and sapling density, mean tree dbh, mean shrub height and crown diameter, and the coefficient of variation (cv) of these six variables.…”

Section: Methodsmentioning

confidence: 99%

A Comparison of Principal Components from Real and Random Data

Stauffer¹,

Garton²,

Steinhorst³

1985

Ecology

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Abstract. We compared principal components derived from sets of real data with dimensions of 120 x 7, 120 x 4, 150 x 11, 150 x 8, 150 x 5, 454 x 12, 454 x 8, and 454 x 5, to those from sets of randomly generated data of corresponding size. Principal components from subsets of 25, 50, 75, and 100 observations from the 120-and 150-observation data sets and those from subsets of 25, 50, 75, 100, 150, 200, 300, and 400 observations from the 454-observation data sets were compared. Percent variance associated with components from real data was relatively constant over all sample sizes; percent variance decreased with larger samples of random data. A bootstrap method was used to develop standard error estimates on percent variance and percent of remaining variance associated with components from real data. Percent of remaining variance associated with the first four components from real data was significantly higher than analogous components from random data.

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Ruffed and Blue Grouse Habitat Use in Southeastern Idaho

Cited by 17 publications

References 18 publications

Study Designs and Tests for Comparing Resource Use and Availability

Study Designs and Tests for Comparing Resource Use and Availability

Winter energy requirements of blue grouse

A Comparison of Principal Components from Real and Random Data

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