CLARK, M. E.*; REED, W. L.; BOONSTRA, T. ; North Dakota State University; North Dakota State University; North Dakota State University: Comparing nonlinear patterns in development using information theory: growth in American coots and metabolism in Canada geese.

Many biological processes exhibit highly nonlinear patterns that are difficult to compare using conventional statistical methods. Sigmoidal patterns are especially common in development because rates of change at early ages may be high but slow as the processes reach asymptotic levels characteristic of adults. Information theory provides a means of comparison that simultaneously considers initial conditions, intermediate rates of change and asymptotic values that cannot be performed with traditional statistical approaches. We demonstrate the utility of this approach by analyzing the effects of sex, food availability and brood size on offspring growth in American coots (Fulica americana) and effects of laying position and androgen levels on embryonic metabolism in Canada geese (Branta canadensis).