Skip to main content
. Author manuscript; available in PMC: 2021 Dec 4.
Published in final edited form as: J Geophys Res Biogeosci. 2020 Dec 4;125(12):e2019JG005474. doi: 10.1029/2019JG005474

Table 4.

List of Covariates Leading to an Average of at Least a 5% Reduction in Mean Square Error When Excluded From the Model

Response variable Covariates Variable Relative influence
CH4-D National and local covariates TOC 15.7
ag on slope > 10% 14.6
dissolved CH4 14.6
reservoir area 12.8
TP 12.4
proportion <3 m deep 5.9
soil organic matter 5.1
CH4-D National covariates reservoir area 23.0
ag on slope > 10% 14.3
soil organic matter 10.1
percent ag 9.4
dynamic ratio 8.4
relative drainage area 6.6
depth ratio 5.9
proportion <3 m deep 5.6
CH4-E National and local covariates relative drainage area 25.2
proportion hypolimnetic 17.4
percent ag 13.1
dissolved CO2 9.3
max depth 9.1
proportion hypoxic 6.2
CH4-E National covariates relative drainage area 21.4
percent ag 15.3
dynamic ratio 10.3
soil erodibility factor 9.4
ag on slope > 10% 7.7
proportion <3 m deep 7.4
depth ratio 7.1
max depth 6.6
mean air temperature 6.3
CH4-T National and local covariates soil organic matter 29.7
depth ratio 11.8
relative drainage area 10.1
percent ag 8.0
dissolved CO2 7.3
ag on slope > 10% 6.9
proportion hypolimnetic 5.7
CH4-T National covariates relative drainage area 21.6
depth ratio 20.0
max depth 16.6
percent ag 11.6
proportion < 3 m deep 7.0
runoff 5.1
CO2-T National and local covariates dissolved CO2 47.4
ag on slope > 10% 14.5
proportion hypoxic 6.9
percent ag 6.1
TP 5.8
CO2-T National covariates depth ratio 23.8
proportion < 3 m deep 19.2
runoff 15.8
relative drainage area 9.2
ag on slope > 10% 7.8
reservoir area 6.9
soil erodibility factor 5.0

Note. These represent the most important variables in each boosted regression trees are listed in order of decreasing importance for each model.