Brian Cade, PhD
Brian Cade is a Research Statistician at the Fort Collins Science Center.
Science and Products
Filter Total Items: 76
Fundamental limits to the accuracy of deuterium isotopes for identifying the spatial origin of migratory animals
Deuterium isotope analyses have revolutionized the study of migratory connectivity because global gradients of deuterium in precipitation (??DP) are expressed on a continental scale. Several authors have constructed continental scale base maps of ??DP to provide a spatial reference for studying the movement patterns of migratory species and, although they are very useful, these maps present a stat
Authors
A. Farmer, B.S. Cade, J. Torres-Dowdall
Estimating fish body condition with quantile regression
We used quantile regression to compare the body condition of walleye Sander vitreus and white bass Morone chrysops before (1980-1988) and after (1989-2004) the establishment of alewives Alosa pseudoharengus in Lake McConaughy, Nebraska. Higher quantiles (percentiles = 100% x quantiles [0, 1]) of weight (W) at the same total length (TL) were indicative of better body condition in an allometric grow
Authors
B.S. Cade, J.W. Terrell, M.T. Porath
A quantile count model of water depth constraints on Cape Sable seaside sparrows
1. A quantile regression model for counts of breeding Cape Sable seaside sparrows Ammodramus maritimus mirabilis (L.) as a function of water depth and previous year abundance was developed based on extensive surveys, 1992-2005, in the Florida Everglades. The quantile count model extends linear quantile regression methods to discrete response variables, providing a flexible alternative to discrete
Authors
B.S. Cade, Q. Dong
Macrophyte decomposition in a surface-flow ammonia-dominated constructed wetland: Rates associated with environmental and biotic variables
Decomposition of senesced culm material of two bulrush species was studied in a surface-flow ammonia-dominated treatment wetland in southern California. Decomposition of the submerged culm material during summer months was relatively rapid (k = 0.037 day-1), but slowed under extended submergence (up to 245 days) and during fall and spring sampling periods (k = 0.009-0.014 day-1). Stepwise regressi
Authors
J.S. Thullen, S. M. Nelson, B.S. Cade, J.J. Sartoris
A permutation test for quantile regression
A drop in dispersion, F-ratio like, permutation test (D) for linear quantile regression estimates (0≤τ≤1) had relative power ≥1 compared to quantile rank score tests (T) for hypotheses on parameters other than the intercept. Power was compared for combinations of sample sizes (n=20−300) and quantiles (τ=0.50−0.99) where both tests maintained valid Type I error rates in simulations with p=2 and 6 p
Authors
Brian S. Cade, Jon D. Richards
Evaluating redband trout habitat in sagebrush desert basins in southwestern Idaho
We estimated abundance quantiles of redband trout Oncorhynchus mykiss gairdneri relative to five site-specific habitat variables (stream shading, bank cover, bank stability, fine sediment in the stream substrate, and cover for adults) and one landscape variable (distance from stream headwaters) on 30 streams in southwestern Idaho during 1993–1998. In addition, the five site-specific habitat variab
Authors
B.W. Zoellick, B.S. Cade
Rank score and permutation testing alternatives for regression quantile estimates
Performance of quantile rank score tests used for hypothesis testing and constructing confidence intervals for linear quantile regression estimates (0 ≤ τ ≤ 1) were evaluated by simulation for models with p = 2 and 6 predictors, moderate collinearity among predictors, homogeneous and hetero-geneous errors, small to moderate samples (n = 20–300), and central to upper quantiles (0.50–0.99). Test sta
Authors
B.S. Cade, J.D. Richards, P.W. Mielke
"HIP" new software: The Hydroecological Integrity Assessment Process
Managing rivers and streams to maintain healthy aquatic ecosystems is a challenge for resource managers across the country. Demand for competing uses of water resources grows with escalating development, increasing recreational use, and the vagaries of climate and weather. For many species of concern, instream flow and associated water quality are critical for survival. Balancing ecosystem needs w
Authors
Jim Henriksen, Juliette T. Wilson
The effect of multiple stressors on salt marsh end-of-season biomass
It is becoming more apparent that commonly used statistical methods (e.g., analysis of variance and regression) are not the best methods for estimating limiting relationships or stressor effects. A major challenge of estimating the effects associated with a measured subset of limiting factors is to account for the effects of unmeasured factors in an ecologically realistic matter. We used quantile
Authors
J.M. Visser, C.E. Sasser, B.S. Cade
Determinants of woody cover in African savannas
Savannas are globally important ecosystems of great significance to human economies. In these biomes, which are characterized by the co-dominance of trees and grasses, woody cover is a chief determinant of ecosystem properties 1-3. The availability of resources (water, nutrients) and disturbance regimes (fire, herbivory) are thought to be important in regulating woody cover1,2,4,5, but perceptions
Authors
M. Sankaran, N.P. Hanan, Robert J. Scholes, J. Ratnam, D.J. Augustine, B.S. Cade, J. Gignoux, S.I. Higgins, Roux X. Le, F. Ludwig, J. Ardo, F. Banyikwa, A. Bronn, G. Bucini, K.K. Caylor, M.B. Coughenour, A. Diouf, W. Ekaya, C.J. Feral, E.C. February, P.G.H. Frost, P. Hiernaux, H. Hrabar, K.L. Metzger, H.H.T. Prins, S. Ringrose, W. Sea, J. Tews, J. Worden, N. Zambatis
Vegetation changes over 12 years in ungrazed and grazed Conservation Reserve Program Grasslands in the central and southern plains
The Conservation Reserve Program (CRP) established under the 1985 Food Security Act has the fundamental objectives of jointly providing economic support to segments of the agricultural community and conservation of natural resources (Osborn, 1997; Heard and others, 2000). Although soil loss on highly erodable lands was the principal natural resource conservation issue addressed in the 1985 CRP, im
Authors
Brian S. Cade, Mark W. Vandever, Arthur W. Allen, James W. Terrell
Evaluation of models and data for assessing whooping crane habitat in the central Platte River, Nebraska
The primary objectives of this evaluation were to improve the performance of the Whooping Crane Habitat Suitability model (C4R) used by the U.S. Fish and Wildlife Service (Service) for defining the relationship between river discharge and habitat availability, and to assist the Service in implementing improved model(s) with existing hydraulic files. The C4R habitat model is applied at the scale of
Authors
Adrian H. Farmer, Brian S. Cade, James W. Terrell, Jim H. Henriksen, Jeffery T. Runge
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: 76
Fundamental limits to the accuracy of deuterium isotopes for identifying the spatial origin of migratory animals
Deuterium isotope analyses have revolutionized the study of migratory connectivity because global gradients of deuterium in precipitation (??DP) are expressed on a continental scale. Several authors have constructed continental scale base maps of ??DP to provide a spatial reference for studying the movement patterns of migratory species and, although they are very useful, these maps present a stat
Authors
A. Farmer, B.S. Cade, J. Torres-Dowdall
Estimating fish body condition with quantile regression
We used quantile regression to compare the body condition of walleye Sander vitreus and white bass Morone chrysops before (1980-1988) and after (1989-2004) the establishment of alewives Alosa pseudoharengus in Lake McConaughy, Nebraska. Higher quantiles (percentiles = 100% x quantiles [0, 1]) of weight (W) at the same total length (TL) were indicative of better body condition in an allometric grow
Authors
B.S. Cade, J.W. Terrell, M.T. Porath
A quantile count model of water depth constraints on Cape Sable seaside sparrows
1. A quantile regression model for counts of breeding Cape Sable seaside sparrows Ammodramus maritimus mirabilis (L.) as a function of water depth and previous year abundance was developed based on extensive surveys, 1992-2005, in the Florida Everglades. The quantile count model extends linear quantile regression methods to discrete response variables, providing a flexible alternative to discrete
Authors
B.S. Cade, Q. Dong
Macrophyte decomposition in a surface-flow ammonia-dominated constructed wetland: Rates associated with environmental and biotic variables
Decomposition of senesced culm material of two bulrush species was studied in a surface-flow ammonia-dominated treatment wetland in southern California. Decomposition of the submerged culm material during summer months was relatively rapid (k = 0.037 day-1), but slowed under extended submergence (up to 245 days) and during fall and spring sampling periods (k = 0.009-0.014 day-1). Stepwise regressi
Authors
J.S. Thullen, S. M. Nelson, B.S. Cade, J.J. Sartoris
A permutation test for quantile regression
A drop in dispersion, F-ratio like, permutation test (D) for linear quantile regression estimates (0≤τ≤1) had relative power ≥1 compared to quantile rank score tests (T) for hypotheses on parameters other than the intercept. Power was compared for combinations of sample sizes (n=20−300) and quantiles (τ=0.50−0.99) where both tests maintained valid Type I error rates in simulations with p=2 and 6 p
Authors
Brian S. Cade, Jon D. Richards
Evaluating redband trout habitat in sagebrush desert basins in southwestern Idaho
We estimated abundance quantiles of redband trout Oncorhynchus mykiss gairdneri relative to five site-specific habitat variables (stream shading, bank cover, bank stability, fine sediment in the stream substrate, and cover for adults) and one landscape variable (distance from stream headwaters) on 30 streams in southwestern Idaho during 1993–1998. In addition, the five site-specific habitat variab
Authors
B.W. Zoellick, B.S. Cade
Rank score and permutation testing alternatives for regression quantile estimates
Performance of quantile rank score tests used for hypothesis testing and constructing confidence intervals for linear quantile regression estimates (0 ≤ τ ≤ 1) were evaluated by simulation for models with p = 2 and 6 predictors, moderate collinearity among predictors, homogeneous and hetero-geneous errors, small to moderate samples (n = 20–300), and central to upper quantiles (0.50–0.99). Test sta
Authors
B.S. Cade, J.D. Richards, P.W. Mielke
"HIP" new software: The Hydroecological Integrity Assessment Process
Managing rivers and streams to maintain healthy aquatic ecosystems is a challenge for resource managers across the country. Demand for competing uses of water resources grows with escalating development, increasing recreational use, and the vagaries of climate and weather. For many species of concern, instream flow and associated water quality are critical for survival. Balancing ecosystem needs w
Authors
Jim Henriksen, Juliette T. Wilson
The effect of multiple stressors on salt marsh end-of-season biomass
It is becoming more apparent that commonly used statistical methods (e.g., analysis of variance and regression) are not the best methods for estimating limiting relationships or stressor effects. A major challenge of estimating the effects associated with a measured subset of limiting factors is to account for the effects of unmeasured factors in an ecologically realistic matter. We used quantile
Authors
J.M. Visser, C.E. Sasser, B.S. Cade
Determinants of woody cover in African savannas
Savannas are globally important ecosystems of great significance to human economies. In these biomes, which are characterized by the co-dominance of trees and grasses, woody cover is a chief determinant of ecosystem properties 1-3. The availability of resources (water, nutrients) and disturbance regimes (fire, herbivory) are thought to be important in regulating woody cover1,2,4,5, but perceptions
Authors
M. Sankaran, N.P. Hanan, Robert J. Scholes, J. Ratnam, D.J. Augustine, B.S. Cade, J. Gignoux, S.I. Higgins, Roux X. Le, F. Ludwig, J. Ardo, F. Banyikwa, A. Bronn, G. Bucini, K.K. Caylor, M.B. Coughenour, A. Diouf, W. Ekaya, C.J. Feral, E.C. February, P.G.H. Frost, P. Hiernaux, H. Hrabar, K.L. Metzger, H.H.T. Prins, S. Ringrose, W. Sea, J. Tews, J. Worden, N. Zambatis
Vegetation changes over 12 years in ungrazed and grazed Conservation Reserve Program Grasslands in the central and southern plains
The Conservation Reserve Program (CRP) established under the 1985 Food Security Act has the fundamental objectives of jointly providing economic support to segments of the agricultural community and conservation of natural resources (Osborn, 1997; Heard and others, 2000). Although soil loss on highly erodable lands was the principal natural resource conservation issue addressed in the 1985 CRP, im
Authors
Brian S. Cade, Mark W. Vandever, Arthur W. Allen, James W. Terrell
Evaluation of models and data for assessing whooping crane habitat in the central Platte River, Nebraska
The primary objectives of this evaluation were to improve the performance of the Whooping Crane Habitat Suitability model (C4R) used by the U.S. Fish and Wildlife Service (Service) for defining the relationship between river discharge and habitat availability, and to assist the Service in implementing improved model(s) with existing hydraulic files. The C4R habitat model is applied at the scale of
Authors
Adrian H. Farmer, Brian S. Cade, James W. Terrell, Jim H. Henriksen, Jeffery T. Runge
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.