Correlation

Equation

Regression

Significance

DMS_w-SR (NB)

DMS_w = 0.56 SR − 13.9

r² = 0.73 (9)

p < 0.05

DMS Flux-SR (NB)

DMS flux = 0.054 SR² − 2.29 SR + 24

r² = 0.72 (9)

p < 0.05

DMS Flux-SR (NB + PB)^#

DMS flux = −0.15 SR² + 1.9 SR + 24

r² = 0.48 (13)

p < 0.10

DMS_w-SST (PB)

DMS_w = 0.55 SST − 12

r² = 0.44 (76)

p < 0.001*

DMS_w-SST (NB)

DMS_w = 0.9 SST − 23.6

r² = 0.83 (8)

p < 0.01

DMS Flux-SST (NB)

DMS flux = −0.46 SST² + 26 SST − 373

r² = 0.80 (19)

p < 0.001*

DMS Flux-SST (NB)^##

DMS flux = 1.14 SST − 25.8

r² = 0.67 (13)

p < 0.01

DMS_w- (NB)

DMS_w = −1.67 + 3.9

r² = 0.99 (6)

p < 0.001*

-SST (NB)

= 0.19 SST − 4.9

r² = 0.56 (12)

p < 0.05

DMS_w-Zoox (NB)

DMS_w = 0.29 Zoox − 1.4

r² = 0.43 (12)

p > 0.05

Zoox-DMS Flux (NB)

Zoox. = 0.81 DMS Flux + 7

r² = 0.42 (12)

p > 0.02

-Zoox (NB)

= −0.14 Zoox + 2

r² = 0.50 (10)

p < 0.10

DMS_w-LNT (NB + PB)

LNT = 0.016 DMS_w² − 0.22 DMS_w + 1.29

r² = 0.57 (16)

p < 0.02

DMS Flux-DMS_w (NB + PB)

DMS flux = 2.25 DMS_w − 1.7

r² = 0.67 (16)

p < 0.001*

DMS_w-LLC (NB + PB)

DMS_w = 0.34 LLC² + 2.28. LLC − 0.06

r² = 0.70 (16)

p < 0.001*

SR-LLC (NB)

SR = −0.88 LLC² + 2.4 LLC + 26.7

r² = 0.38 (100)

p < 0.001*