(1) Biological and Environmental Sciences, University of Ulster, BT52 1SA Coleraine, Co. Derry, N. Ireland;(2) Department of Earth & Ocean Sciences, University of Liverpool, L69 3GP Liverpool, UK
Abstract:
Long runs of seasonal rotifer population data allow analysis of seasonal occurrence using mathematical tools. The application of Fourier analysis to a 15 year dataset describes seasonality in simple mathematical terms. This facilitates comparison of population expression with potential population driving variables and provides a basic modelling tool. Results show that annual patterns of occurrence and density have linkages with annual maximum and minimum environmental temperature, although the exact relationships are not clear.
