AIC model selection results for models predicting <i>Corophium volutator</i> crawling activity during an experiment in Pecks Cove in summer 2007.

Number of crawling individuals (per 0.25×0.25 m quadrat) was log transformed to improve normality and an AR1 covariance structure was used to accommodate the repeated measures sampling design. Models included the fixed effects given below and block as a random effect. “Surface temp” is the sediment temperature (°C) on the surface of the mud and “5 cm temp” is the sediment temperature at 5 cm depth. ΔAIC is the difference in Akaike's information criterion from the top model and wi is the AIC weight, which represents the likelihood that a particular model is the best of the options available. AIC model selection results for models predicting Corophium volutator crawling activity during an experiment in Pecks Cove in summer 2007.