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. 2020 Apr 3;10:5865. doi: 10.1038/s41598-020-62639-y

Table 2.

Coefficient estimates for carbon sediment variables in the GLS spatial models.

Depth Dependent variable Corg (%) C stocks (mg Corg cm−3) δ13C (‰)
Driver ∆AIC Estimate SE ∆AIC Estimate SE ∆AIC Estimate SE
0–1 cm Seagrass cover* 38.75 0.00 0.00 30.61 0.00 0.00 63.93 0.03 0.01
<63 µm* 12.28 0.01 0.00 18.44 0.00 0.00 47.21 −0.01 0.01
Distance from mangroves* 36.74 0.00 0.00 33.64 0.00 0.00 71.45 0.00 0.00
Turbidity (low) 22.78 0.55 0.34 19.26 2.23 0.64 36.68 −20.14 0.83
Turbidity (medium) 22.78 −0.20 0.27 19.26 −0.12 0.29 36.68 −2.09 0.42
Turbidity (high) 22.78 0.42 0.39 19.26 0.16 0.40 36.68 −4.05 0.57
Meadow type (continuous) 24.38 0.51 0.47 5.34 2.52 0.17 24.64 −19.94 0.96
Meadow type (patchy) 24.38 0.42 0.55 5.34 0.20 0.24 24.64 −4.55 1.11
Meadow type (variable) 24.38 −0.19 0.56 5.34 −0.90 0.27 24.64 −1.12 1.24
1–3 cm Seagrass cover* 28.51 0.00 0.00 7.64 0.00 0.01 61.09 0.04 0.01
<63 µm* 8.06 0.01 0.00 3.21 0.01 0.00 48.06 0.00 0.01
Distance from mangroves* 30.54 0.00 0.00 8.57 0.00 0.00 60.62 0.00 0.00
Turbidity (low) 17.52 0.34 0.32 9.27 1.61 1.29 29.26 −19.11 0.76
Turbidity (medium) 17.52 0.12 0.27 9.27 0.44 0.40 29.26 −2.95 0.87
Turbidity (high) 17.52 0.67 0.38 9.27 0.50 0.51 29.26 −5.93 0.95
Meadow type (continuous) 19.21 0.46 0.43 2.87 2.47 0.20 21.41 −19.95 0.46
Meadow type (patchy) 19.21 0.50 0.50 2.87 0.21 0.27 21.41 −4.71 0.62
Meadow type (variable) 19.21 −0.19 0.52 2.87 −0.65 0.31 21.41 −1.67 0.74
3–10 cm Seagrass cover* 26.84 −0.01 0.00 13.19 −0.01 0.01 48.87 0.04 0.01
<63 µm* 8.94 0.01 0.00 9.92 0.00 0.00 55.64 0.00 0.01
Distance from mangroves* 27.19 0.00 0.00 11.85 0.00 0.00 69.80 0.00 0.00
Turbidity (low) 16.28 0.38 0.31 13.04 1.62 1.53 31.19 −18.97 1.10
Turbidity (medium) 16.28 0.19 0.27 13.04 0.63 0.48 31.19 −3.74 1.15
Turbidity (high) 16.28 0.56 0.37 13.04 0.38 0.61 31.19 −5.95 1.29
Meadow type (continuous) 16.56 0.45 0.42 6.94 2.60 0.24 36.75 −20.34 0.80
Meadow type (patchy) 16.56 0.49 0.49 6.94 0.12 0.33 36.75 −4.47 0.95
Meadow type (variable) 16.56 −0.19 0.47 6.94 −0.89 0.37 36.75 −1.69 1.08

Significant terms (p-value < 0.05) are shown in bold. ∆AIC represents the AIC difference between the non-spatial GLS and the spatial GLS accounting for spatial autocorrelation on the response variable; positive value means lower AIC on the spatial GLS model. SE, standard error. (*) shows continuous explanatory variables.