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Table 2 Regression parameters (a, b, c, d) from nonlinear regression models of SR on the basis of mean monthly values

From: Soil moisture controls the spatio-temporal pattern of soil respiration under different land use systems in a semi-arid ecosystem of Delhi, India

Regression Model

MFC

PFC

AF

VF

SR = a × STb × SMc

2.015 × ST−0.001 × SM0.757;

R2 = 0.83; AIC = 4.91

0.51 × ST−1.131 × SM0.776;

R2 = 0.94; AIC = − 5.77

1.026 × ST0.19 × SM0.906;

R2 = 0.73; AIC = 7.25

0.039 × ST1.005 × SM1.224;

R2 = 0.87; AIC = 4.35

SR = a × expbST × cSM

2.047 × exp0ST × SM0.759;

R2 = 0.83; AIC = 4.91

0.604 × exp0.046ST × SM0.787;

R2 = 0.94; AIC = − 6.02

1.631 × exp0.007ST × SM0.898;

R2 = 0.73; AIC = 14.61

0.039 × exp0.037ST × SM1.208;

R2 = 0.86; AIC = 5.33

SR = a × expbST × cSM × dSMA

1.364 × exp−0.003ST × SM0.722 × SMA0.24;

R2 = 0.84; AIC = 3.5

0.12 × exp0.04ST × SM0.732 × SMA0.855;

R2 = 0.95; AIC = − 8.96

1.134 × exp−0.017ST SM0.016 × SMA−0.728;

R2 = 0.85; AIC = 6

0.461 × exp−0.036ST × SM0.852 × SMA0.326;

R2 = 0.91; AIC = − 0.98

SR = a × STb × SMc × SMAd

1.552 × ST−0.063 × SM0.721 × SMA0.24;

R2 = 0.84; AIC = 3.5

0.014 × ST0.973× SM0.723 × SMA0.853;

R2 = 0.95; AIC = − 8.8

2.807 × ST−0.409 × SM0.45 × SMA1.171;

R2 = 0.85; AIC = 6.25

0.049 × ST0.972 × SM0.909 × SMA.295;

R2 = 0.91; AIC = − 2.9

SR = a + bST + cSM + dSMA

0.601 − 0.018ST + 1.195SM + 0.096SMA

R2 = 0.85; AIC = 2.86

− 2.024 + 0.037ST + 1.252SM + 0.217SMA

R2 = 0.93; AIC = − 6.58

0.786 − 0.006ST + 1.134SM + 0.787SMA;

R2 = 0.82; AIC = 8.64

− 7.955 + 0.207ST + 1.72SM + 0.464SMA;

R2 = 0.92; AIC = − 1.72

  1. SR soil respiration (μmol m−2 sec−1); ST soil temperature (°C) at 10 cm depth; SM soil moisture (%); and SMA microbial activity (μg g-1 min-1); PFC Prosopis juliflora forest cover; MFC mixed forest cover; AF agriculture field; and VF vegetable field, R2 determination coefficient, AIC Akaike’s information criterion
  2. The parameters a, b, c, and d are the model coefficients.