Assessment of Organic Carbon Status in Indian Soils - Soil Carbon: Science, Management and Policy for Multiple Benefits - page 339

4200

4000

3800

3600

3400

3200

3000

2800

CO 2 789 ppm

2600

CO 2 543 ppm

2400

2200

CO 2 369 ppm

2000

0 1 2 3 4 5 6

Temperature (°C)

Fig. 28.5 InfoCrop model output showing water-limited yield of cotton in Akola, India. (From Bhatttacharyya
et al ., 2012.)

Table 28.6. Annual CH 4 emission estimates from rice fields in India. (From Bhatia et al ., 2012, with
permission from Wiley.)

Estimate
(Tg CH 4 year -1 ) Reference Methodology used

Ahuja (1991) 37.5 Extrapolated from studies in the USA and Europe to the

rice growing regions in India

Cao et al . (1996) 14.4 MEM

Matthews et al . (2000) 2.1 MERES simulation model

Yan et al . (2003) 5.9 Region-specific emission factors

Bhatia et al . (2004) 2.9 IPCC methodology and measured CH 4 emission

coefficients

Pathak et al . (2005) 1. 5 DNDC model

Gupta et al . (2009) 4.1 State specific CH 4 emission coefficients and IPCC

approach

Bhatia et al . (2012) 2.1 Validated InfoCrop model

MEM, methane emission model; MERES, methane emission from rice ecosystem; IPCC, Intergovernmental Panel on
Climate Change; DNDC, denitrification decomposition.

4.09 ± 1.19 Tg year - 1 at the national level,
and the trend from 1979 to 2006 was in the
range of 3.62 ± 1.0 to 4.09 ± 1.19 Tg year - 1
(Gupta et al ., 2009). Bhatia et al . (2012)
reported the simulated methane emission

(using the InfoCrop model) from 42.21 Mha
of rice cultivation as 2.07 Tg year - 1 , which
was very much similar to the estimate ob-
tained by Matthews et al . (2000) using Methane
Emission from Rice Ecosystem (MERES).