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. 2016 Jul 6;62(6):581–601. doi: 10.1093/cz/zow067

Table 1.

Descriptive statistics for eight select seascape variables for the northeast Atlantic region

Moran’s I by distance (km)a
Layer Abbrev Min Max Mean Standard deviation Units 25 50 100 200 500 Data source
Mean sea surface temperature SST 2.197 19.859 10.600 2.916 °C 0.66 0.60 0.50 0.39 0.26 NOAA
Standard deviation of sea surface temperature sdSST 1.201 8.211 3.587 1.595 °C 0.74 0.69 0.63 0.58 0.47 NOAA
Mean thermal stress frequency TSF 0.00 22.00 1.10 0.84 freqencyb 0.45 0.39 0.30 0.23 0.15 CoRTAD
Mean sea surface salinity SSS 2.108 36.524 29.928 10.607 unitlessc 0.72 0.64 0.57 0.51 0.37 World Ocean Atlas 2013 v2
Mean net primary productivity NPP 478 12,788 2,063 1697 C m−2 day−1 0.73 0.62 0.52 0.44 0.35 Ocean Productivity web
Standard deviation of net primary productivity sdNPP 276 15,945 3,521 3,080 C m−2 day−2 0.76 0.67 0.59 0.52 0.39 Ocean Productivity web
Bathymetry BATH −5,029 839 −266 654 Metres 0.86 0.71 0.45 0.30 0.17 ETOPO1
Habitat exposure during Pleistocene low sea level stands PLEIS 0.000 1.000 0.398 0.297 unitlessc 1.00 0.99 0.98 0.87 0.35 Derived from ETOPO1

aMoran’s I is a measure of spatial autocorrelation and can range from −1 (complete negative spatial autocorrelation) to +1 (complete positive spatial autocorrelation). Values were estimated from 10,000 random points and values above 0.70 (high spatial autocorrelation) are in bold.

bMean frequency of thermal stress anomalies ≥ 1 °C over the previous 52 weeks.

cSSS: g/kg seawater; PLEIS: proportion.