Establishing a Database on Greenhouse Gas Emission Factors Meeting

							Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

Database on Methane Emissions from Rice Fields
(IRRI-UNDP Methane Project)
Leandro Buendia

Contents
where and how data are collected (replicability) s emission patterns (QA/QC) s controlling factors associated with EF (data to store) s conclusion & recommendation
s

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Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

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Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

Irrigated Rice

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Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

Rainfed Rice

Deepwater Rice

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Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

Different Management Practices
water management s organic and inorganic amendments s cultivar s crop establishment
s

Diel Pattern of Methane Emission
Diel Pattern CH4 Emission

0

2

4

6

8

10

12

14

16

18

20

22

Time, hour

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Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

Seasonal pattern of CH4 Emission as affected by C input
1600 1400 1200 70 1000 800 600 400 20 200 0 0 10 20 30 40 50 60 70 80 90 100 Days After Planting 10 0 60 50 40 30 With pig manure Without pig manure 100 90 80

Seasonal pattern of CH4 Emission as affected by water management
900 800 700
Methane Emission, mg/m2/d

600 500 400 300 200 100 0 4 14 24 34 44 54 64 74 84 94 104 114 124
Days After Planting

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Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

Seasonal pattern of CH4 Emission as affected by cultivars
180 160 Modern japonica (Zhongzhuo 93) Japonica hybrid (Jingyou) Tall japonica (Zhonghua) Modern indica (IR72)

Methane Emission, mg/m2/d

140 120 100 80 60 40 20 0 0 11 21 31 41 51 61 72 82

92

102

112

122

132

142

Days After Planting

Effect of soil type

3

7

14

21

100

7

Beijing

86

93

Fengrun1

79

Fengrun2

72

Fengrun3

65

Tanghai1

Tanghai2 Hangzhong

28 35 42 49 Day 58 sA fter Incu bati on

Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

Seasonal CH4 emission (kg/ha); pure NPK + local irrigation

DS = 26 (10) ES= 92 (4) SS= 167 (5) LS = 142 (5)

DW = 113 (15)

DS = 145 (14) WS= 272 (13)

IRRIGATED: DS = 163 (5) WS = 132 (10) RAINFED: DS = 50 (6) WS = 81 (11)

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Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

Table 4-9 (IPCC Guidelines) Representative Methane Emissions from Rice Paddy Fields in Various Locations of the World
Country Location Range of CH4 flux (mg/m2/hr) 14.6-48.9 1.9-48.9 6.9-50.6 2.7-7.2 18.0-27.1 2.8-15.4 0.8-18.5 3.3-7.9 12.6-85.0 Season total (g/m2) Experimental Treatment Reference

China

Beijing Beijing Hangzhou, Zhejiang Cuttack, Orissa Taman Bogo, Lampung Ryugasaki Los Banos Ayutthaya Crowley, Louisiana

27-91 5.3-100.9 14-82 7-19 31-47 11-28 2-42 13-20 22-149

OM, WM MF, OM, ST, WM MF, OM, SE CU MF, OM MF, OM MF, OM CU, OM,WM MF, OM, SE

Chen et al., 1993 Shao, 1993 Wassmann et al., 1993a Mitra, 1992 Nugroho et al., 1994a Yagi and Minami, 1990a Neue et al., 1994 Siriratpiraya, 1990 Lindau and Bollich, 1993

India Indonesia Japan Philippines Thailand USA

Conclusion and Recommendations Reference country location
- name - latitude - longitude - soil type - ecosystem - name of journal - authors - date published - title of article

EF

Brief description of methods
- equipment - sampling strategy

institute season

Experimental treatment
- water management - amendments - cultivar

Unit of measurement

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Establishinｇ a Database on Greenhouse Gas Emission Factors Meeting Report : Annex2

References
s

Intergovernmental Panel on Climate Change (1997) Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories, J.T. Houghton et al. IPCC/OECD/IEA, Paris, France.

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