Brian Cade, PhD (Former Employee)
Science and Products
Filter Total Items: 78
Paradigm shifts in theory and methods: regression quantile analysis enables new insights for ecology Paradigm shifts in theory and methods: regression quantile analysis enables new insights for ecology
No abstract available.
Authors
C.E. Bock, Brian S. Cade
Estimating effects of limiting factors with regression quantiles Estimating effects of limiting factors with regression quantiles
In a recent Concepts paper in Ecology, Thomson et al. emphasized that assumptions of conventional correlation and regression analyses fundamentally conflict with the ecological concept of limiting factors, and they called for new statistical procedures to address this problem. The analytical issue is that unmeasured factors may be the active limiting constraint and may induce a pattern...
Authors
Brian S. Cade, J. W. Terrell, Richard L. Schroeder
Movement patterns and the conservation of amphibians breeding in small, temporary wetlands Movement patterns and the conservation of amphibians breeding in small, temporary wetlands
Many amphibians breed in water but live most of their lives in terrestrial habitats. Little is known, however, about the spatial distribution of these habitats or of the distances and directions amphibians move to reach breeding sites. The amphibian community at a small, temporary pond in northcentral Florida was monitored for 5 years. Based on captures and recaptures of more than 2500...
Authors
C.K. Dodd, B.S. Cade
Comment: Cautions on forcing regression equations through the origin Comment: Cautions on forcing regression equations through the origin
No abstract available.
Authors
Brian S. Cade, James W. Terrell
Comparison of tree basal area and canopy cover in habitat models: Subalpine forest Comparison of tree basal area and canopy cover in habitat models: Subalpine forest
Canopy cover and basal area are 2 common measures of tree cover used in forest wildlife habitat models and resource selection studies. When choosing between these 2 measures, it is important to recognize that they may differentially estimate relative cover of coexisting tree species due to differences in bole diameter distributions, crown overlap, and crown widths as a function of bole...
Authors
Brian S. Cade
Estimation of lipids and lean mass of migrating sandpipers Estimation of lipids and lean mass of migrating sandpipers
Estimation of lean mass and lipid levels in birds involves the derivation of predictive equations that relate morphological measurements and, more recently, total body electrical conductivity (TOBEC) indices to known lean and lipid masses. Using cross-validation techniques, we evaluated the ability of several published and new predictive equations to estimate lean and lipid mass of...
Authors
Susan K. Skagen, Fritz L. Knopf, Brian S. Cade
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
Paradigm shifts in theory and methods: regression quantile analysis enables new insights for ecology Paradigm shifts in theory and methods: regression quantile analysis enables new insights for ecology
No abstract available.
Authors
C.E. Bock, Brian S. Cade
Estimating effects of limiting factors with regression quantiles Estimating effects of limiting factors with regression quantiles
In a recent Concepts paper in Ecology, Thomson et al. emphasized that assumptions of conventional correlation and regression analyses fundamentally conflict with the ecological concept of limiting factors, and they called for new statistical procedures to address this problem. The analytical issue is that unmeasured factors may be the active limiting constraint and may induce a pattern...
Authors
Brian S. Cade, J. W. Terrell, Richard L. Schroeder
Movement patterns and the conservation of amphibians breeding in small, temporary wetlands Movement patterns and the conservation of amphibians breeding in small, temporary wetlands
Many amphibians breed in water but live most of their lives in terrestrial habitats. Little is known, however, about the spatial distribution of these habitats or of the distances and directions amphibians move to reach breeding sites. The amphibian community at a small, temporary pond in northcentral Florida was monitored for 5 years. Based on captures and recaptures of more than 2500...
Authors
C.K. Dodd, B.S. Cade
Comment: Cautions on forcing regression equations through the origin Comment: Cautions on forcing regression equations through the origin
No abstract available.
Authors
Brian S. Cade, James W. Terrell
Comparison of tree basal area and canopy cover in habitat models: Subalpine forest Comparison of tree basal area and canopy cover in habitat models: Subalpine forest
Canopy cover and basal area are 2 common measures of tree cover used in forest wildlife habitat models and resource selection studies. When choosing between these 2 measures, it is important to recognize that they may differentially estimate relative cover of coexisting tree species due to differences in bole diameter distributions, crown overlap, and crown widths as a function of bole...
Authors
Brian S. Cade
Estimation of lipids and lean mass of migrating sandpipers Estimation of lipids and lean mass of migrating sandpipers
Estimation of lean mass and lipid levels in birds involves the derivation of predictive equations that relate morphological measurements and, more recently, total body electrical conductivity (TOBEC) indices to known lean and lipid masses. Using cross-validation techniques, we evaluated the ability of several published and new predictive equations to estimate lean and lipid mass of...
Authors
Susan K. Skagen, Fritz L. Knopf, Brian S. Cade
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.