Quantifying methane emissions from rice fields in the Taihu Lake region, China by coupling a detailed soil database with biogeochemical model

L Zhang,H Wang,D Weindorf,L Zhao,X Shi,D Yu,W Ding,J Pan,C Li

doi:10.5194/bg-6-739-2009

Abstract

Abstract. As China has approximately 22% of the world's rice paddies, the regional quantification of CH4 emissions from these paddies is important in determining their contribution to the global greenhouse gas effect. This paper reports the use of a biogeochemical model (DeNitrification and DeComposition or DNDC) for quantifying CH4 emissions from rice fields in the Taihu Lake region of China. For this application, the DNDC model was linked to a 1:50 000 soil database derived from 1107 paddy soil profiles compiled during the Second National Soil Survey of China in the 1980s–1990s. The simulated results showed that the 2.3 Mha of paddy rice fields in the Taihu Lake region emitted the equivalent of 5.7 Tg C from 1982–2000, with the average CH4 flux ranging from 114 to 138 kg C ha−1 y−1. As for soil subgroups, the highest emission rate (660 kg C ha−1 y−1) was linked to gleyed paddy soils accounting for about 4.4% of the total area of paddy soils. The lowest emission rate (91 kg C ha−1 y−1) was associated with degleyed paddy soils accounting for about 18% of the total area of paddy soils. The most common soil in the area was hydromorphic paddy soils, which accounted for about 53% of the total area of paddy soils with a CH4 flux of 106 kg C ha−1 y−1. On a regional basis, the annual averaged CH4 flux in the Taihu Lake plain soil region and alluvial plain soil region were higher than that in the low mountainous and hilly soil region and the polder soil region. The model simulation was conducted with two databases using polygons or counties as the basic units. The county-based database contained soil information coarser than the polygon system built based on the 1:50 000 soil database. The modeled results with the two databases found similar spatial patterns of CH4 emissions in the Taihu Lake region. However, discrepancies exist between the results from the two methods. The total CH4 emissions generated from the polygon-based database is 2.6 times the minimum CH4 emissions generated from the county-based database, and is 0.98 times the maximum CH4 emissions generated from the county-based database. The average value of the relative deviation ranged from −20% to 98% for most counties, which indicates that a more precise soil database is necessary to better simulate CH4 emissions from rice fields in the Taihu Lake region using the DNDC model.

Highlights

With economic development, environmental problems are becoming increasingly serious
By linking the detailed soil database to DNDC model, we attempted to improve the performance of the model
The DNDC model has been tested against sev-677 eral CH4 flux datasets from wetland rice sites in the United678 States, Italy, China, Tailand, and Japan (Li et al, 2002; Ca6i79 et al, 2003)

Summary

Introduction

The enhancement of the greenhouse effects is important aspect which has caused global concern. Methane (CH4) is an important greenhouse gas and plays a large role in atmospheric processes. Since 1990, CH4 emissions are responsible for approximately 15%–20% of the greenhouse gas (GHG) emissions globally (IPCC, 1996). Atmospheric CH4 concentration is 1774 ppb, and it is increasing rapidly at a rate of 1.0% yr−1 (IPCC, 2007). Rice paddies have been identified as one of the major sources of atmospheric CH4, contributing about 12% to global CH4 emissions

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