Quantitative and Statistical Research Collaboration
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.
Influences of immunocontraception on time budgets, social behavior, and body condition in feral horses
Application of the Hydroecological Integrity Assessment Process for Missouri Streams
Quantifying Equid Behavior - A Research Ethogram for Free-Roaming Feral Horses
User manual for Blossom statistical package for R
The Conservation Reserve Program: Planting for the future. Proceedings of a National Conference, Fort Collins, Colorado, June 6-9, 2004
Isolation of Snake River islands and mammalian predation of waterfowl nests
Evaluation of a habitat suitability index model
User manual for Blossom Statistical Software
Effects of emergency haying on vegetative characteristics within selected Conservation Reserve Program fields in the Northern Great Plains
Establishment, growth, and early survival of woody riparian species at a Colorado gravel pit
Movement patterns and the conservation of amphibians breeding in small, temporary wetlands
Estimation of lipids and lean mass of migrating sandpipers
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.