Quantitative and Statistical Research Collaboration Completed
Mathematical and statistical models are powerful research tools that play several important roles in conceptualizing and understanding the structure and dynamics of complicated ecological systems, including developing mechanistic hypotheses pertaining to ecological systems, designing studies that elucidate ecosystem structure and function, and extracting information from data.
The complex nature of ecological systems and the data arising from studies of these systems often require the development of specialized and sophisticated models so that progress can be made in understanding these systems. The objective under this task is to develop mathematical or statistical models that abstract and accommodate the unique characteristics of ecological systems and data, while allowing for maximum extraction of information about those systems. This is accomplished through collaboration with field biologists having unique or unusual data analysis questions or circumstances, and with mathematicians and statisticians able to creatively apply powerful mathematical or statistical methods to difficult, real-world problems.
Below are other science projects associated with this project.
Below are publications associated with this project.
Differential migration of Blue Grouse in Colorado
Winter use of douglas-fir forests by Blue Grouse in Colorado
Habitat Suitability Index Models: Brown thrasher
Habitat Suitability Index Models: American woodcock (wintering)
Habitat Suitability Index Models: Ruffed grouse
- Overview
Mathematical and statistical models are powerful research tools that play several important roles in conceptualizing and understanding the structure and dynamics of complicated ecological systems, including developing mechanistic hypotheses pertaining to ecological systems, designing studies that elucidate ecosystem structure and function, and extracting information from data.
The complex nature of ecological systems and the data arising from studies of these systems often require the development of specialized and sophisticated models so that progress can be made in understanding these systems. The objective under this task is to develop mathematical or statistical models that abstract and accommodate the unique characteristics of ecological systems and data, while allowing for maximum extraction of information about those systems. This is accomplished through collaboration with field biologists having unique or unusual data analysis questions or circumstances, and with mathematicians and statisticians able to creatively apply powerful mathematical or statistical methods to difficult, real-world problems.
- Science
Below are other science projects associated with this project.
- Publications
Below are publications associated with this project.
Filter Total Items: 29Differential migration of Blue Grouse in Colorado
We examined migration of adult Blue Grouse (Dendragapus obscurus) in north-central Colorado by radio tracking 13 males and 19 females. Elevational changes associated with movements to winter areas were greater for males (median = 488 m, range = 183-671 m) than females (median = 122 m, range = -61-760 m). Males (median = 10.5 km, range = 1.0-29.4 km) also moved farther than females (median = 1.0 kmAuthorsBrian S. Cade, Richard W. HoffmanWinter use of douglas-fir forests by Blue Grouse in Colorado
We studied winter use of Douglas-fir (Pseudotsuga menziesii) forests by blue grouse (Dendragapus obscurus) from 1981 to 1983 at 2 study areas in northcentral Colorado. Comparisons of used and available stands indicated grouse were concentrated spatially, but there were no consistent differences related to basal area of tree species, conifer stem densities, and topography that were common to both aAuthorsBrian S. Cade, Richard W. HoffmanHabitat Suitability Index Models: Brown thrasher
A review and synthesis of existing information were used to develop a Habitat Suitability Index (HSI) model for the brown thrasher (Toxostoma rufum). The model consolidates habitat use information into a framework appropriate for field application, and is scaled to produce an index between 0.0 (unsuitable habitat) to 1.0 (optimum habitat). HSI models are designed to be used with Habitat EvaluationAuthorsBrian S. CadeHabitat Suitability Index Models: American woodcock (wintering)
A review and synthesis of existing information were used to develop a Habitat Suitability Index (HSI) model for the American woodcock. The model consolidates habitat use information into a framework appropriate for field application, and is sclaed to produce an index between 0.0 (unsuitable habitat) to 1.0 (optimally suitable habitat). HSI models are designed to be used with Habitat Evaluation ProAuthorsBrian S. CadeHabitat Suitability Index Models: Ruffed grouse
A review and synthesis of existing information were used to develop a Habitat Suitability Index (HSI) model for the ruffed grouse (Bonasa umbellus). The model consolidates habitat use information into a framework appropriate for field application, and is scaled to produce an index between 0.0 (unsuitable habitat) to 1.0 (optimum habitat). HSI models are designed to be used with Habitat EvaluationAuthorsBrian S. Cade, Patrick J. Sousa