Table 1.

Multinomial logistic regression results using temperature, salinity, and productivity means and seasonal ranges (TSP) to predict biogeographic unit (BU) membership for two biogeographic schemes by coastline and by basin

	Spalding et al. (6)			Valentine (1)
Region	AIC	% correct	No. of BUs	AIC	% correct	No. of BUs
Atlantic Basin	1574.2541	86.11	15	1554.5174	86.78	15
West Atlantic	369.4630	95.40	8	418.0608	94.92	9
East Atlantic	98.0001	100.00	8	150.0794	98.18	6
Pacific Basin	4950.5760	80.20	44	2874.1524	89.00	17
Indian Ocean	802.3963	89.66	17	124.2388	98.57	4
West Pacific	943.3720	91.48	19	206.1705	98.12	7
West Pacific Islands	543.0267	89.41	14	56.0002	100.00	5
East Pacific	129.4221	98.21	8	188.7168	97.14	9

AIC, Akaike information criterion. Percentage (%) correct is the number of 1° grid cells correctly classified into the correct BU. “No. of BUs” is the number of biogeographic units in each region. Salinity contributes more to prediction accuracy than productivity on all coastlines. Including salinity is more important for the Spalding scheme, especially in the Pacific and Indian Oceans.