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Table 1 Variable selection of Bayesian spatial-temporal modeling

From: Decoding the impact of environmental shifts on snail density dynamics in the Yangtze River basin: a 26-year study

Model

Included variables

DIC

Model 1

S(FD)a

1695.87

Model 2

S(NL)

1765.41

Model 3

S(NDVI)

1763.95

Model 4

S(Tmin)

1765.32

Model 5

S(SSH)

1965.28

Model 6

S(FD) + S(NL)

1543.46

Model 7

S(FD) + S(NDVI)

1547.52

Model 8

S(FD) + S(Tmin)

1678.23

Model 9

S(FD) + S(SSH)

1763.25

Model 10

S(FD) + S(NL) + S(NDVI)

1476.87

Model 11

S(FD) + S(NL) + S(Tmin)

1487.54

Model 12

S(FD) + S(NL) + S(SSH)

1524.62

Model 13

S(FD) + S(NL) + S(NDVI) + S(SSH)

1472.38

Model 14

S(FD) + S(NL) + S(NDVI) + S(Tmin)

1423.82

Model 15

S(FD) + S(NL) + S(NDVI) + S(Tmin) + S(SSH)

1459.73

Model 16

S(FD) + S(NL) + S(NDVI) + S(Tmin) + Tmax

1425.61

Model 17

S(FD) + S(NL) + S(NDVI) + S(Tmin) + Pre

1417.26

Model 18

S(FD) + S(NL) + S(NDVI) + S(Tmin) + GST

1427.26

Model 19

S(FD) + S(NL) + S(NDVI) + S(Tmin) + Pre + S(SSH)

1359.39

Model 20

S(FD) + S(NL) + S(NDVI) + S(Tmin) + Pre + GST

1343.68

Model 21

S(FD) + S(NL) + S(NDVI) + S(Tmin) + Pre + Tmax

1392.47

Model 22

S(FD) + S(NL) + S(NDVI) + S(Tmin) + Pre + GST + Tmax

1349.25

Model 23

S(FD) + S(NL) + S(NDVI) + S(Tmin) + Pre + GST + S(SSH)

1355.37

Model 24

S(FD) + S(NL) + S(NDVI) + S(Tmin) + Pre + GST + Tmax + S(SSH)

1358.57

  1. FD flooding duration, NL night light index, NDVI normalized difference vegetation index, Tmin average minimum temperature in January, SSH sunshine hour, Tmax average maximum temperature in July, Pre, precipitation, GST ground surface temperature
  2. a S(variable) denotes that the variable is included in the form of the smooth spline function