Brian Cade, PhD (Former Employee)
Science and Products
Filter Total Items: 78
Diversity and abundance of wild bees in an agriculturally dominated landscape of eastern Colorado Diversity and abundance of wild bees in an agriculturally dominated landscape of eastern Colorado
Agricultural intensification has resulted in loss of natural and semi-natural habitats impacting several important ecosystem services. One group of organisms that has suffered greatly are the bees and hence pollination, the supporting ecosystem service they complete. The United States Department of Agriculture (USDA) Conservation Reserve Program (CRP) has implemented conservation...
Authors
H. S. Arathi, Mark W. Vandever, Brian S. Cade
Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts
Many different factors influence animal activity. Often, the value of an environmental variable may influence significantly the upper or lower tails of the activity distribution. For describing relationships with heterogeneous boundaries, quantile regressions predict a quantile of the conditional distribution of the dependent variable. A quantile count model extends linear quantile...
Authors
Benjamin J. Muller, Brian S. Cade, Lin Schwarzkoph
Quantile regression applications in ecology and the environmental sciences Quantile regression applications in ecology and the environmental sciences
No abstract available.
Authors
Brian S. Cade
Logistic quantile regression provides improved estimates for bounded avian counts: A case study of California Spotted Owl fledgling production Logistic quantile regression provides improved estimates for bounded avian counts: A case study of California Spotted Owl fledgling production
Counts of avian fledglings, nestlings, or clutch size that are bounded below by zero and above by some small integer form a discrete random variable distribution that is not approximated well by conventional parametric count distributions such as the Poisson or negative binomial. We developed a logistic quantile regression model to provide estimates of the empirical conditional...
Authors
Brian S. Cade, Barry R. Noon, Rick D. Scherer, John J. Keane
Efficacy of SpayVac® as a contraceptive in feral horses Efficacy of SpayVac® as a contraceptive in feral horses
ABSTRACT We tested the efficacy of 2 formulations of the immunocontraceptive SpayVac1, which packages the immunogen porcine zona pellucida (PZP) and an adjuvant in multilamellar liposomes, as a contraceptive in captive feral horses (Equus caballus) for 3 consecutive breeding seasons (Pauls Valley, OK, USA; 2012–2014) following a single inoculation. Annual fertility rates in control adult...
Authors
James E. Roelle, Stephen S. Germaine, Albert J. Kane, Brian S. Cade
Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States
Atmospheric nitrogen (N) deposition has been shown to decrease plant species richness along regional deposition gradients in Europe and in experimental manipulations. However, the general response of species richness to N deposition across different vegetation types, soil conditions, and climates remains largely unknown even though responses may be contingent on these environmental...
Authors
Samuel M. Simkin, Edith B. Allen, William D. Bowman, Christopher L. Clark, Jayne Belnap, Matthew L. Brooks, Brian S. Cade, Scott L. Collins, Linda H. Geiser, Frank S. Gilliam, Sarah E. Jovan, Linda H. Pardo, Bethany K. Schulz, Carly J. Stevens, Katharine N. Suding, Heather L. Throop, Donald M. Waller
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
Diversity and abundance of wild bees in an agriculturally dominated landscape of eastern Colorado Diversity and abundance of wild bees in an agriculturally dominated landscape of eastern Colorado
Agricultural intensification has resulted in loss of natural and semi-natural habitats impacting several important ecosystem services. One group of organisms that has suffered greatly are the bees and hence pollination, the supporting ecosystem service they complete. The United States Department of Agriculture (USDA) Conservation Reserve Program (CRP) has implemented conservation...
Authors
H. S. Arathi, Mark W. Vandever, Brian S. Cade
Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts
Many different factors influence animal activity. Often, the value of an environmental variable may influence significantly the upper or lower tails of the activity distribution. For describing relationships with heterogeneous boundaries, quantile regressions predict a quantile of the conditional distribution of the dependent variable. A quantile count model extends linear quantile...
Authors
Benjamin J. Muller, Brian S. Cade, Lin Schwarzkoph
Quantile regression applications in ecology and the environmental sciences Quantile regression applications in ecology and the environmental sciences
No abstract available.
Authors
Brian S. Cade
Logistic quantile regression provides improved estimates for bounded avian counts: A case study of California Spotted Owl fledgling production Logistic quantile regression provides improved estimates for bounded avian counts: A case study of California Spotted Owl fledgling production
Counts of avian fledglings, nestlings, or clutch size that are bounded below by zero and above by some small integer form a discrete random variable distribution that is not approximated well by conventional parametric count distributions such as the Poisson or negative binomial. We developed a logistic quantile regression model to provide estimates of the empirical conditional...
Authors
Brian S. Cade, Barry R. Noon, Rick D. Scherer, John J. Keane
Efficacy of SpayVac® as a contraceptive in feral horses Efficacy of SpayVac® as a contraceptive in feral horses
ABSTRACT We tested the efficacy of 2 formulations of the immunocontraceptive SpayVac1, which packages the immunogen porcine zona pellucida (PZP) and an adjuvant in multilamellar liposomes, as a contraceptive in captive feral horses (Equus caballus) for 3 consecutive breeding seasons (Pauls Valley, OK, USA; 2012–2014) following a single inoculation. Annual fertility rates in control adult...
Authors
James E. Roelle, Stephen S. Germaine, Albert J. Kane, Brian S. Cade
Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States
Atmospheric nitrogen (N) deposition has been shown to decrease plant species richness along regional deposition gradients in Europe and in experimental manipulations. However, the general response of species richness to N deposition across different vegetation types, soil conditions, and climates remains largely unknown even though responses may be contingent on these environmental...
Authors
Samuel M. Simkin, Edith B. Allen, William D. Bowman, Christopher L. Clark, Jayne Belnap, Matthew L. Brooks, Brian S. Cade, Scott L. Collins, Linda H. Geiser, Frank S. Gilliam, Sarah E. Jovan, Linda H. Pardo, Bethany K. Schulz, Carly J. Stevens, Katharine N. Suding, Heather L. Throop, Donald M. Waller
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.