Table 1 Effect of climate change drivers on microbial biomass-specific growth (Gm), biomass-specific respiration (Rm) and carbon use efficiency (CUE).

From: Microbial growth and carbon use efficiency show seasonal responses in a multifactorial climate change experiment

 

May

July

October

Gm

Est.

SE

t

p

Est.

SE

t

p

Est.

SE

t

p

eCO2

0.51

0.22

2.35

0.0294

0.05

0.05

1.01

0.3229

0.01

0.04

0.15

0.8791

eT

−0.56

0.18

−3.04

0.0066

−0.23

0.05

−4.26

<0.001

0.10

0.04

2.77

0.012

eCO2:eT

0.12

0.04

2.81

0.0109

        

eCO22

−0.30

0.11

−2.61

0.0171

        

eT2

0.24

0.10

2.53

0.0202

        

Rm

t

p

t

p

t

p

eCO2

0.19

0.13

1.16

0.1566

0.27

0.11

2.51

0.0200

0.01

0.09

0.16

0.8737

eT

0.06

0.13

0.45

0.6566

−0.52

0.11

−4.87

<0.001

0.26

0.08

3.05

0.0062

eCO2:eT

            

eCO22

            

eT2

            

CUE

  

t

p

  

t

p

  

t

p

eCO2

−0.01

0.01

−0.68

0.5034

−0.03

0.08

−0.41

0.685

0.01

0.02

0.444

0.6612

eT

0.00

0.01

−0.23

0.8155

0.02

0.07

3.07

0.0068

−0.01

0.02

−0.45

0.652

eCO2:eT

    

0.00

0.02

−0.0007

0.9994

    

eCO22

    

0.01

0.04

0.29

0.7715

    

eT2

    

−0.11

0.04

−3.01

0.0077

    
  1. Elevated atmospheric CO2 (eCO2) and increased air temperature (eT) as predictors of biomass-specific growth rate (Gm, mgC h−1 g−1 MBC), biomass-specific respiration rate (Rm, mgC h−1 g−1 MBC) and microbial carbon use efficiency (CUE) at each sampling time point (May, July and October 2017). Values are derived from RSM models. eCO22 & eT2 – quadratic functions of elevated CO2 and temperature, eCO2:T interaction of elevated CO2 concentration and temperature. Est. estimated slope, SE standard error, p values < 0.05 are given in bold. (n = 26 in each month, for specific replicate number of each treatment see Methods section, Fig. 5).
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