detection of variation in time and space-designs for deductive science
much seagrass research examines change in seagrass physiology, function and distribution associated with an environmental disturbance, such studies need to be capable of separating variation imposed by the disturbance under study from any natural spatial or temporal variability for studies of disturbance, general linear models, including anova and regression, provide the main framework for experimental designs, statistical tests and estimates of parameters. regression is used to examine variation related to impact gradients in time and space, whereas anova is used to compare impact to no impact conditions however, both approaches are examined together in this section since they are based upon identical calculations