Quantitative and Statistical Research Collaboration
Project Manager:Brian Cade
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.
|2015||Daily nest survival rates of Gunnison Sage-Grouse (centrocercus minimus): assessing local- and landscape- scale drivers||Journal Article|
|2013||Breeding biology of an afrotropical forest understory bird community in northeast Tanzania||Journal Article|
|2011||Habitat fragmentation reduces nest survival in an Afrotropical bird community in a biodiversity hotspot||Journal Article|
|2010||Estimating length of avian incubation and nesting stages in afrotropical forest birds from interval-censored nest records||Journal Article|
|2008||Blossom Statistical Package||Software|