Brian Cade, PhD (Former Employee)
Science and Products
Filter Total Items: 78
Isolation of Snake River islands and mammalian predation of waterfowl nests Isolation of Snake River islands and mammalian predation of waterfowl nests
In 1990–1992, we studied predation of waterfowl nests by mammalian predators on 30 islands in a 64-km reach of the Snake River in southwestern Idaho, USA, to identify river flows necessary to protect and enhance migratory bird use of Deer Flat National Wildlife Refuge. We monitored 235–314 Canada goose (Branta canadensis) nests each year and 122 duck nests, primarily mallard (Anas...
Authors
B.W. Zoellick, H.M. Ulmschneider, B.S. Cade, A.W. Stanley
A gentle introduction to quantile regression for ecologists A gentle introduction to quantile regression for ecologists
Quantile regression is a way to estimate the conditional quantiles of a response variable distribution in the linear model that provides a more complete view of possible causal relationships between variables in ecological processes. Typically, all the factors that affect ecological processes are not measured and included in the statistical models used to investigate relationships...
Authors
B.S. Cade, B.R. Noon
Quantile regression models of animal habitat relationships Quantile regression models of animal habitat relationships
Typically, all factors that limit an organism are not measured and included in statistical models used to investigate relationships with their environment. If important unmeasured variables interact multiplicatively with the measured variables, the statistical models often will have heterogeneous response distributions with unequal variances. Quantile regression is an approach for...
Authors
Brian S. Cade
Influences of spatial and temporal variation on fish-habitat relationships defined by regression quantiles Influences of spatial and temporal variation on fish-habitat relationships defined by regression quantiles
We used regression quantiles to model potentially limiting relationships between the standing crop of cutthroat trout Oncorhynchus clarki and measures of stream channel morphology. Regression quantile models indicated that variation in fish density was inversely related to the width:depth ratio of streams but not to stream width or depth alone. The spatial and temporal stability of model
Authors
J. B. Dunham, B.S. Cade, J.W. Terrell
Selection of nesting habitat by sharp-tailed grouse in the Nebraska sandhills Selection of nesting habitat by sharp-tailed grouse in the Nebraska sandhills
We evaluated nesting habitat selection (disproportionate use compared to availability) by plains sharp-tailed grouse (Tympanuchus phasianellus jamesi) on rangelands grazed by cattle (Bos taurus) relative to height, density, and heterogeneity of residual herbaceous vegetation remaining from previous growing seasons. Residual cover is critical for nesting sharp-tailed grouse and can be...
Authors
Bart L. Prose, Brian S. Cade, Dale Hein
Evaluation of a habitat suitability index model Evaluation of a habitat suitability index model
We assisted with development of a model for maternity habitat of the Indiana bat (Myotis soda/is), for use in conducting assessments of projects potentially impacting this endangered species. We started with an existing model, modified that model in a workshop, and evaluated the revised model, using data previously collected by others. Our analyses showed that higher indices of habitat...
Authors
A.H. Farmer, B.S. Cade, D.F. Stauffer
Non-USGS Publications**
Terrell, J.W., B.S. Cade, J. Carpenter, and J.M. Thompson. 1996. Modeling stream fish habitat limitations from wedge-shaped patterns of variation in standing stock. Transactions of the American Fisheries Society. 125(1): 104-
Cade, B. S., and J. D. Richards. 1996. Permutation tests for least absolute deviation regression. Biometrics. 52: 886-9.
Kennedy, P.E., and B.S. Cade. 1996. Randomization tests for multiple regression. Communications in Statistics - Simulation and Computation. 25(4): 923-936.
Baker, B.W. and B.S. Cade. 1995. Predicting biomass of beaver food from willow stem diameters. Journal of Range Management. 48(4): 322-326.
Baker, B.W., B.S. Cade, W.L. Mangus, and J.L. McMillen. 1995. Spatial analysis of sandhill crane nesting habitat. Journal of Wildlife Management. 59(4): 752-7.
Stauffer, D. F., A. H. Farmer, and B. S. Cade. 1992. Use of Wildlife Habitat Models for Habitat Management planning. Proceedings: Resource Technology 90, Second International Symposium on Advanced Technology in Natural Resources Management. Bethesda, MD: American Society of Photogrammetry and Remote Sensing. p. 609-6.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Filter Total Items: 78
Isolation of Snake River islands and mammalian predation of waterfowl nests Isolation of Snake River islands and mammalian predation of waterfowl nests
In 1990–1992, we studied predation of waterfowl nests by mammalian predators on 30 islands in a 64-km reach of the Snake River in southwestern Idaho, USA, to identify river flows necessary to protect and enhance migratory bird use of Deer Flat National Wildlife Refuge. We monitored 235–314 Canada goose (Branta canadensis) nests each year and 122 duck nests, primarily mallard (Anas...
Authors
B.W. Zoellick, H.M. Ulmschneider, B.S. Cade, A.W. Stanley
A gentle introduction to quantile regression for ecologists A gentle introduction to quantile regression for ecologists
Quantile regression is a way to estimate the conditional quantiles of a response variable distribution in the linear model that provides a more complete view of possible causal relationships between variables in ecological processes. Typically, all the factors that affect ecological processes are not measured and included in the statistical models used to investigate relationships...
Authors
B.S. Cade, B.R. Noon
Quantile regression models of animal habitat relationships Quantile regression models of animal habitat relationships
Typically, all factors that limit an organism are not measured and included in statistical models used to investigate relationships with their environment. If important unmeasured variables interact multiplicatively with the measured variables, the statistical models often will have heterogeneous response distributions with unequal variances. Quantile regression is an approach for...
Authors
Brian S. Cade
Influences of spatial and temporal variation on fish-habitat relationships defined by regression quantiles Influences of spatial and temporal variation on fish-habitat relationships defined by regression quantiles
We used regression quantiles to model potentially limiting relationships between the standing crop of cutthroat trout Oncorhynchus clarki and measures of stream channel morphology. Regression quantile models indicated that variation in fish density was inversely related to the width:depth ratio of streams but not to stream width or depth alone. The spatial and temporal stability of model
Authors
J. B. Dunham, B.S. Cade, J.W. Terrell
Selection of nesting habitat by sharp-tailed grouse in the Nebraska sandhills Selection of nesting habitat by sharp-tailed grouse in the Nebraska sandhills
We evaluated nesting habitat selection (disproportionate use compared to availability) by plains sharp-tailed grouse (Tympanuchus phasianellus jamesi) on rangelands grazed by cattle (Bos taurus) relative to height, density, and heterogeneity of residual herbaceous vegetation remaining from previous growing seasons. Residual cover is critical for nesting sharp-tailed grouse and can be...
Authors
Bart L. Prose, Brian S. Cade, Dale Hein
Evaluation of a habitat suitability index model Evaluation of a habitat suitability index model
We assisted with development of a model for maternity habitat of the Indiana bat (Myotis soda/is), for use in conducting assessments of projects potentially impacting this endangered species. We started with an existing model, modified that model in a workshop, and evaluated the revised model, using data previously collected by others. Our analyses showed that higher indices of habitat...
Authors
A.H. Farmer, B.S. Cade, D.F. Stauffer
Non-USGS Publications**
Terrell, J.W., B.S. Cade, J. Carpenter, and J.M. Thompson. 1996. Modeling stream fish habitat limitations from wedge-shaped patterns of variation in standing stock. Transactions of the American Fisheries Society. 125(1): 104-
Cade, B. S., and J. D. Richards. 1996. Permutation tests for least absolute deviation regression. Biometrics. 52: 886-9.
Kennedy, P.E., and B.S. Cade. 1996. Randomization tests for multiple regression. Communications in Statistics - Simulation and Computation. 25(4): 923-936.
Baker, B.W. and B.S. Cade. 1995. Predicting biomass of beaver food from willow stem diameters. Journal of Range Management. 48(4): 322-326.
Baker, B.W., B.S. Cade, W.L. Mangus, and J.L. McMillen. 1995. Spatial analysis of sandhill crane nesting habitat. Journal of Wildlife Management. 59(4): 752-7.
Stauffer, D. F., A. H. Farmer, and B. S. Cade. 1992. Use of Wildlife Habitat Models for Habitat Management planning. Proceedings: Resource Technology 90, Second International Symposium on Advanced Technology in Natural Resources Management. Bethesda, MD: American Society of Photogrammetry and Remote Sensing. p. 609-6.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.