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GCP 2011 General Research Meeting
21-25 September,2011
Hyderabad, India
Characterization of drought-prone
rainfed rice ecosystems of
the Mekong Region
Inthavong, T., Linwattana, G., Touch, V.,
Pantuwan, G, Jongdee, B., Mitchell,
J.H., and Fukai, S.
(NAFRI, BRRD, CARDI, UQ)
Objectives
1. Development of Soil Water Balance Model
and use it for quantifying field water
availability during the growing season
2. Identify the spatial pattern of drought prone
areas in the Mekong Region.
3. Estimation of yield reduction by water stress
4. Conclusions
Rainfed lowland rice production area
Large areas of rainfed lowland areas with drought-prone and drought- &
submergence-prone environments in the Mekong region
 65% of total rice land in Cambodia, 44% in Laos, 56% in Thailand
% Irrigated Rainfed lowland Upland Deepwater
Total F D DS S MD
Cambodia 16 75 7 22 43 0 3 1 8
Indonesia 54 35 20 4 0 3 8 11 0
Laos 14 65 22 22 22 0 0 21 0
Malaysia 66 21 15 0 0 5 1 12 1
Myanmar 30 59 24 6 0 15 14 4 7
Philippines 67 30 15 5 1 3 6 3 0
Thailand 20 74 6 38 18 9 3 2 4
Vietnam 53 39 15 8 0 12 4 5 3
F: favorable, D: drought-prone, DS: drought- and submergence-prone, S: submergence-prone, MD: medium-deep
Source: Mackill et al. (1996), IRRI (2005)
 Rainfall distribution
(i) uncertainty in the onset of the rainy season that can affect
timely sowing and transplanting.
(ii) late season drought affects on reproductive stage of
plant growth and development.
• Coarse soils
CL (4.5%)
LL (11.5%)
SL (38.1%)
LS (41.3%)
SA (4.5%)
Proportion of % soil texture types distributed throughout
the Savannakhet province
Soil characteristics
Top paddy
Middle paddy
Bottom paddy
Groundwater
table/head
Downward
movement
Lateral
movement
Groundwater flow
Runoff
(catchment)
Toposequence
» A sequence of
paddy fields on
slopping land
Development and use of a soil water balance
model (SWB) for quantifying:
 weekly rice field water storage
spatial variation in field water availability
 water stress development during rice growing
period
Rainfall
Transpiration
Evaporation
Runoff
Seepage
Under-bund
Percolation
Lateral movementDownward movement
Quantifying water balance components
Surface layer
D
Subsoil layer
DP
bund
Surface soil water content (Wsurface)
within 0 - 20cm
Subsoil water content (Wsubsoil) between 20 -
100cm where Dsubsoil equals to deep
percolation (DP)
The total amount of water storage in two
layers (surface + subsoil)
+
=
Development of a 2-layer soil water balance model
Lateral water
movement
Quantifying
downward water
movement (D)
Groundwater
tube
Perched water
tube
Percolator
Percolation on different soils (clay content)
Large variation in percolation across locations could be
explained by clay content of the soil.
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
0 10 20 30 40 50
Downwardwaterflow(mm/day)
Clay content (%)
D= 18.7/clay -0.16 (r=0.67) D measured from
NEThailand
D predicted for
these three regions
D measured from
southern Laos
D measured from
CARDI (Cambodia)
When there is standing water in the field.
When field water storage decrease from soil Saturate to FC
When there is no standing water, there is no downwater loss.
Generate climate input
Spatial interpolation function in GIS
(Variography and kriging)
Rainfall data (1985-2008)
325 met and hydrological stations:
33 met. and 10 hydro. Stations (Laos)
169 met. (North and North-East Thailand)
94 stations (Cambodia)
- Rainfall
- Crop Evapotranspiration (ETc)
Thailand
Laos
Cambodia
Crop Evapotranspiration (ETc)
ocsc ETKKET 
   
 2
2
34.01
273
900
408.0
U
eeU
T
GR
ET
dan
o







 
 airdryWFCW
airdryWsurface
s
SS
SW
K
__
_



+ Crop coefficient (Kc)
(Initial stage Kc=1.05,development stage Kc=1.2,
late season stage Kc=0.6-0.9) (Allen et al.,1998)
+Water stress coefficient (Ks)
+ Reference Evapotranspiration (ETo)
Potential evapotranspiration (Penman-Monteith equation)
Week 15 Week 25
Week 35 Week 40
Soil profile samples
Schematic diagram for quantifying free water level and water stress
development based on lowland water balance model
Soil data
Clay
%
Downward
(D)
Climate data
Rainfall ETc
FIELD WATER BALANCE MODEL: W(t)= W(t-1)+RF(t)-ETc(t)–D(t)-L(t)-R(t)
Determination of LGP, SGP, EGP
Daily free water level
Estimation probability of drought occurrence
Sat, FC,
WP, Air
(Saxton & Rawls)
•Point based (daily)
•Gridded surface
(weekly)
Soil water balance model for quantifying LGP
Duration for the length of growing period (LGP)
Start of growing period (SGP) End of growing period (EGP
The prediction of water availability can be
made with weather forecasting
Weather Forecast Division
Department of
Meteorology and
Hydrology
0
50
100
150
200
250
300
350
400
450
500
550
1 2 3 4 5 6 7 8 9 10 11 12
Months
mm
2000
2001
2002
2003
2004
Mean
Results of weekly water availability prediction
made at two different times in 2010.
Forecast standing water level for
week 28 (9-15 July 2010)
Forecast standing water level for
week 41 (8-14 Oct 2010)
0
10
20
30
40
50
60
70
80
90
100
-40 -35 -30 -25 -20 -15 -10 -5 0
Ralative water level (cm)
Grainyieldreduction
(%)
Early
Medium
Late
Y = -1.68X; r2 = 0.80
Linear (Y = -1.68X; r2
= 0.80)
Y=-1.68X; r2 =0.80 (cm)1.68WL-(%)reductionYield Rel
-100.00
-50.00
0.00
50.00
100.00
150.00
200.00
250.00
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51
Weeks
mm
Rainfall Depth of standing water Field water storage
Soil water at FC Soil water at WP
StartLGP wk19 End LGP wk41
Flowering
Khanthaboury (wet
season rice, 1988)
Estimation of Yield limited by water stress
• Water stress around
flowering (3 week
before and after)
Ouk et al.,(2006)
Start LGP End LGP LGP Flowering date Wlrel(mm) %yield reduction
19 43 25 17-Sep -74.1 12
Using SWB in conjunction with GIS can provide:
 a geographical dimension of soil hydrological patterns for
various rice growing environments.
 identify the spatial pattern of drought stress that is likely to
occur from long term climate data.
 identify strategies for plant breeding and geographical targeting
of improved varieties with particular drought tolerance or
drought avoidance characteristics.
To provide guidelines for practical advice to the rice farmers
and researchers for the determination of appropriate crop
management strategies (e.g. time of planting, selection of
varieties) and policy makers for investment decisions.
Conclusion
THANK YOU!

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GRM 2011: Using GIS data to characterise rice ecosystems in the Mekong region

  • 1. GCP 2011 General Research Meeting 21-25 September,2011 Hyderabad, India Characterization of drought-prone rainfed rice ecosystems of the Mekong Region Inthavong, T., Linwattana, G., Touch, V., Pantuwan, G, Jongdee, B., Mitchell, J.H., and Fukai, S. (NAFRI, BRRD, CARDI, UQ)
  • 2. Objectives 1. Development of Soil Water Balance Model and use it for quantifying field water availability during the growing season 2. Identify the spatial pattern of drought prone areas in the Mekong Region. 3. Estimation of yield reduction by water stress 4. Conclusions
  • 3. Rainfed lowland rice production area Large areas of rainfed lowland areas with drought-prone and drought- & submergence-prone environments in the Mekong region  65% of total rice land in Cambodia, 44% in Laos, 56% in Thailand % Irrigated Rainfed lowland Upland Deepwater Total F D DS S MD Cambodia 16 75 7 22 43 0 3 1 8 Indonesia 54 35 20 4 0 3 8 11 0 Laos 14 65 22 22 22 0 0 21 0 Malaysia 66 21 15 0 0 5 1 12 1 Myanmar 30 59 24 6 0 15 14 4 7 Philippines 67 30 15 5 1 3 6 3 0 Thailand 20 74 6 38 18 9 3 2 4 Vietnam 53 39 15 8 0 12 4 5 3 F: favorable, D: drought-prone, DS: drought- and submergence-prone, S: submergence-prone, MD: medium-deep Source: Mackill et al. (1996), IRRI (2005)
  • 4.  Rainfall distribution (i) uncertainty in the onset of the rainy season that can affect timely sowing and transplanting. (ii) late season drought affects on reproductive stage of plant growth and development.
  • 5. • Coarse soils CL (4.5%) LL (11.5%) SL (38.1%) LS (41.3%) SA (4.5%) Proportion of % soil texture types distributed throughout the Savannakhet province Soil characteristics
  • 6. Top paddy Middle paddy Bottom paddy Groundwater table/head Downward movement Lateral movement Groundwater flow Runoff (catchment) Toposequence » A sequence of paddy fields on slopping land
  • 7. Development and use of a soil water balance model (SWB) for quantifying:  weekly rice field water storage spatial variation in field water availability  water stress development during rice growing period
  • 9. Surface layer D Subsoil layer DP bund Surface soil water content (Wsurface) within 0 - 20cm Subsoil water content (Wsubsoil) between 20 - 100cm where Dsubsoil equals to deep percolation (DP) The total amount of water storage in two layers (surface + subsoil) + = Development of a 2-layer soil water balance model Lateral water movement
  • 11. Percolation on different soils (clay content) Large variation in percolation across locations could be explained by clay content of the soil. 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 0 10 20 30 40 50 Downwardwaterflow(mm/day) Clay content (%) D= 18.7/clay -0.16 (r=0.67) D measured from NEThailand D predicted for these three regions D measured from southern Laos D measured from CARDI (Cambodia) When there is standing water in the field. When field water storage decrease from soil Saturate to FC When there is no standing water, there is no downwater loss.
  • 12. Generate climate input Spatial interpolation function in GIS (Variography and kriging) Rainfall data (1985-2008) 325 met and hydrological stations: 33 met. and 10 hydro. Stations (Laos) 169 met. (North and North-East Thailand) 94 stations (Cambodia) - Rainfall - Crop Evapotranspiration (ETc) Thailand Laos Cambodia
  • 13. Crop Evapotranspiration (ETc) ocsc ETKKET       2 2 34.01 273 900 408.0 U eeU T GR ET dan o           airdryWFCW airdryWsurface s SS SW K __ _    + Crop coefficient (Kc) (Initial stage Kc=1.05,development stage Kc=1.2, late season stage Kc=0.6-0.9) (Allen et al.,1998) +Water stress coefficient (Ks) + Reference Evapotranspiration (ETo)
  • 14. Potential evapotranspiration (Penman-Monteith equation) Week 15 Week 25 Week 35 Week 40
  • 16. Schematic diagram for quantifying free water level and water stress development based on lowland water balance model Soil data Clay % Downward (D) Climate data Rainfall ETc FIELD WATER BALANCE MODEL: W(t)= W(t-1)+RF(t)-ETc(t)–D(t)-L(t)-R(t) Determination of LGP, SGP, EGP Daily free water level Estimation probability of drought occurrence Sat, FC, WP, Air (Saxton & Rawls) •Point based (daily) •Gridded surface (weekly)
  • 17. Soil water balance model for quantifying LGP
  • 18. Duration for the length of growing period (LGP)
  • 19. Start of growing period (SGP) End of growing period (EGP
  • 20. The prediction of water availability can be made with weather forecasting Weather Forecast Division Department of Meteorology and Hydrology 0 50 100 150 200 250 300 350 400 450 500 550 1 2 3 4 5 6 7 8 9 10 11 12 Months mm 2000 2001 2002 2003 2004 Mean
  • 21. Results of weekly water availability prediction made at two different times in 2010. Forecast standing water level for week 28 (9-15 July 2010) Forecast standing water level for week 41 (8-14 Oct 2010)
  • 22. 0 10 20 30 40 50 60 70 80 90 100 -40 -35 -30 -25 -20 -15 -10 -5 0 Ralative water level (cm) Grainyieldreduction (%) Early Medium Late Y = -1.68X; r2 = 0.80 Linear (Y = -1.68X; r2 = 0.80) Y=-1.68X; r2 =0.80 (cm)1.68WL-(%)reductionYield Rel -100.00 -50.00 0.00 50.00 100.00 150.00 200.00 250.00 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 Weeks mm Rainfall Depth of standing water Field water storage Soil water at FC Soil water at WP StartLGP wk19 End LGP wk41 Flowering Khanthaboury (wet season rice, 1988) Estimation of Yield limited by water stress • Water stress around flowering (3 week before and after) Ouk et al.,(2006) Start LGP End LGP LGP Flowering date Wlrel(mm) %yield reduction 19 43 25 17-Sep -74.1 12
  • 23. Using SWB in conjunction with GIS can provide:  a geographical dimension of soil hydrological patterns for various rice growing environments.  identify the spatial pattern of drought stress that is likely to occur from long term climate data.  identify strategies for plant breeding and geographical targeting of improved varieties with particular drought tolerance or drought avoidance characteristics. To provide guidelines for practical advice to the rice farmers and researchers for the determination of appropriate crop management strategies (e.g. time of planting, selection of varieties) and policy makers for investment decisions. Conclusion