expansion of rubber (hevea brasiliensis) and its
TRANSCRIPT
Expansion of Rubber (Hevea brasiliensis) and its
Implications for Water and Carbon Dynamics in
Montane Mainalnd Southeast Asia
Jefferson Fox
Thomas Giambelluca
Ryan Mudd
Alan Ziegler
Maoyi Huang
Wen Liu
Michael Nullet
Qi Chen
March 2011
East-West Center
University of Hawai‘i at Mānoa
University of Hawai‘i at Mānoa
National University of Singapore
Battelle Pacific NW National Laboratory
University of Hawai‘i at Mānoa
University of Hawai‘i at Mānoa
University of Hawai‘i at Mānoa
Jeff Fox, EWC, 2010
NR price forecasts to 2011
(It’s the global market . . . ‘stupid’)3/22/2011
$5.15
Prachaya. 2009.
Traditional and non-traditional rubber-growing regions
Jeff Fox, EWC, 2010
Rubber distribution in 2009 in MMSEA derived from MODIS 250m NDVI time series
Jeff Fox, EWC, 2010
Jeff Fox, EWC, 2010
Jeff Fox, EWC, 2010
Rubber Estimates (2008)(non-traditional rubber areas)
Country Area (ha)
Northeast Thailand 348,063 (Thai Rubber 2007)
Xishuangbanna, China (1950s) 334,000 (Reuters 2008)
Laos (1994) 140,665 (NAFRI 2008)
Cambodia 107,901 (ANRPC 2009)
Northeast Myanmar(Kachin and Shan States)
68,723 (Hly Myint 2008)
Vietnam 58,100 (AgroInfo 2008)
Total 1,057,452
Jeff Fox, EWC, 2010
CLUE Land Cover / Land Use Simulations
• Overall MMSEA Results Increase Decrease
Model Land Cover % 2000 % 2050 % Change
Crops + Grass 12.38 14.81 2.43
Irrigated Crops 9.5 10.11 0.61
Shrubs 2.91 4.6 1.69
Deciduous Forest
(rubber)
12.82 15.28 2.46 (4 mil ha)
Evergreen Forest 36.58 32.85 -3.73
Mixed Forest/
Mosaic
22.99 18.19 -4.8
Hotspots of LCLUC in Mainland
Southeast Asia (1990 to 2008)
F= forest; RP = rice/paddy; PA = protected area; AQ = Shrimp aquaculture;
PT = Perennial trees; NTR = non-traditional rubber. Numbers from FAOSTAT;
FAO World Forests; World Bank World Development Indicators; IUCN
Protected Areas.
Total area in square kilometers Annual rate of increase in %
-80,000
-60,000
-40,000
-20,000
0
20,000
40,000
60,000
F RP PA AQ PT NTR
Cambodia
Laos
Myanmar
Thailand
Vietnam
-10.00
0.00
10.00
20.00
30.00
40.00
50.00
60.00
70.00
80.00
90.00
F RP PA AQ PT NTR
Cambodia
Laos
Myanmar
Thailand
Vietnam
Prior Study
Guardiola-Claramonte M, Troch Ziegler A, Giambelluca TW, Vogler JB, Nullet M (2008)
Local hydrologic effects of introducing non-native vegetation in a tropical catchment.
Ecohydrology 1: 13–22, DOI: 10.1002/eco.3.
Guardiola-Claramonte M, Troch Ziegler A, Giambelluca TW, Vogler JB, Nullet M (2008)
Local hydrologic effects of introducing non-native vegetation in a tropical catchment.
Ecohydrology 1: 13–22, DOI: 10.1002/eco.3.
Guardiola-Claramonte M, Troch Ziegler A, Giambelluca TW, Vogler JB, Nullet M (2008)
Local hydrologic effects of introducing non-native vegetation in a tropical catchment.
Ecohydrology 1: 13–22, DOI: 10.1002/eco.3.
Research Questions
Hydrology of Hevea brasiliensis Plantations
• What are the hydrological and carbon consequences of conversion of land to rubber plantations in non-traditional rubber growing areas?
• What are the rates of ET in rubber stands, and how does it compare with other land-cover types in the region?
• To what extent are dry-season basin water storage affected by water use of rubber?
Tower Sites
Jeff Fox, EWC, 2010
Som Sanuk
CRRI
Instruments and Observations
Micrometeorological instruments installed at two rubber (Havea
brasiliensis) plantations to measure water, energy, and carbon
exchange
Som Sanuk, Nong Khai, NE ThailandTrees planted in 1992
Tower installed February 2009
CRRI, Kampong Cham, CambodiaTrees planted in 2004
Tower Installed September 2009
Tower Instrumentation
Cambodia Rubber Research Institute
Kampong Cham, Cambodia
3 air temperature sensors (TC
wire, Omega)
10 biomass temperature
sensors (TC wire, Omega)
3 dimensional sonic anemometer (CSAT3, Campbell Scientific)
infrared gas analyzer (LI-
7500, Licor)
PAR sensor (LI-190, Licor)
4 component radiation
(NR01, Hukseflux)
Temperature and relative humidity (HMP45, Vaisala)
3 wind speed sensors for wind
height profile (014A, Met one)
2 Rain gauges (TI-525, Texas
Instruments)
•Wind speed and direction
(05106, RM young)
Underground sensors
• 2 soil temperaturesensors (20 cm TC probes, Campbell Scientific)
• 4 soil heat flux plates (HFP01, Hukseflux)
• 5 TDR soil moistureprobes – 30 cm (CS616, Campbell Scientific)
– 4 cm horizontal
– 30 cm vertical
– 1 m vertical
– 2 m vertical
– 3 m vertical
• 5 ADR soil moisturesensors (Theta Probe, DeltaT)
– in 2 stands (2001 and 2004)
– 5, 10, 20, 30, and 50 cm all horizontal
Collaboration with Kumagai Lab of Kyushu University for
sap flow measurements
Sa
p flu
x (
kg
m-2
s-1
)
0
0.02
0.04
0.06
5/19 5/20 5/21 5/22 5/23 5/24 5/25 5/26
Som Sanuk, Thailand
Som Sanuk, Thailand
Preliminary Eddy Flux Results from Som Sanuk
Annual Mean Diurnal Cycles
-100
0
100
200
300
400
500
600
0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00
Rnet
G
H
LE
Mean Rnet = 124 W m-2
Mean G = 2 W m-2
Mean H = 27 W m-2
Mean ET = 87 W m-2
ECE = 8 W m-2
ECR = 91%
Rubber Energy Balance
Som Sanuk, NE Thailand
Preliminary Eddy Flux Results from Som Sanuk
-20
0
20
40
60
80
100
120
140
160
180
Feb-09 Apr-09 Jun-09 Aug-09 Oct-09 Dec-09 Feb-10 Apr-10
Rnet
G
H
LE
Rubber Energy Balance
Som Sanuk, NE Thailand
Seasonal Cycle Related to Leaf Area
-20
0
20
40
60
80
100
120
140
160
180
Feb-09 Apr-09 Jun-09 Aug-09 Oct-09 Dec-09 Feb-10 Apr-10
Rnet
G
H
LE
Rubber Energy Balance
Som Sanuk, NE Thailand
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
Feb-09 Apr-09 Jun-09 Aug-09 Oct-09 Dec-09 Feb-10 Apr-10
17 yr old
12 yr old
6 yr old
Leaf Area Index
Preliminary Eddy Flux Results from Som Sanuk:
Mean Diurnal NEE Cycles
NEE ( mol m-2s-1)
-30
-25
-20
-15
-10
-5
0
5
10
0 6 12 18 24 30 36 42 48
30-minute Timesteps
NE
E
Jan
Dec
Nov
Oct
Sep
AugJun
Jul
May
Preliminary Eddy Flux Results from Som Sanuk:
Mean Diurnal NEE Cycles
-30
-25
-20
-15
-10
-5
0
5
10
NE
E
Feb 09 Mar 09 Apr 09 May 09 Jun 09 Jul 09 Aug 09 Sep 09 Oct 09 Noc 09 Dec 09 Jan 10 Feb 10 Mar 10
NEE ( mol m-2s-1)
Mean Annual ET: 1100 mm
Site Land Cover LE:Rnet
Borneo Tropical rainforest 0.89
Amazon Tropical rainforest 0.86
Som Sanuk Rubber plantation 0.70
Chiang Mai Hill evergreen 0.60
Mato Grosso Transitional forest 0.66
Weimin Ju,Fangmin Zhang, Jingming Chen, Shuanghe Shen, Shaoqiang Wang,
Guirui Yu, Xinquan Zhao, Shijie Han, J. Asanuma (2010) Trends of
evapotranspiration in East Asia from 1982 to 2006 simulated using a remote
sensing-driven ecological model. Presented at HESSS2, 22 June 2010, Tokyo.
Ecosystem Model Must Incorporate Vegetation Dynamics
Bonan (2008, Science 320: 1444-1449)
100 yearsInitialization
200 years 300 years
Simulation of forest biomass density in Mainland Southeast Asia
Simulations of the forest biomass density with the incorporation of land use/cover change
Beginning 100 years 200 years
300 years 400 years 500 years
Preliminary verification of
carbon
Carbon map of Laos 2010 Modeled carbon density after
500 years of land use
Summary
• Rubber ET may be higher than forest ET
• Seasonal cycle significantly changed with lower Sep-Jan ET and higher Mar-Jul ET
• Annual Carbon flux cycle strongly influenced by the phenology of rubber
• Question:
– What effect does the altered annual cycle have on basin water storage and river discharge at the start of rain season?
– How does the annual and long-term carbon budget of rubber plantations compare with those of land covers that rubber is replacing?
• Further work:
– Continued monitoring-both sites
– Integrate EC and Sapflux observations
– Leaf level measurements
– Installation of carbon profile monitoring equipment
– Carbon stocks and budget
Thank You
Rubber Estimates (2008)(non-traditional rubber areas)
Country Area (ha)
Northeast Thailand 348,063 (Thai Rubber 2007)
Xishuangbanna, China (1950s) 334,000 (Reuters 2008)
Laos (1994) 140,665 (NAFRI 2008)
Cambodia 107,901 (ANRPC 2009)
Northeast Myanmar(Kachin and Shan States)
68,723 (Hly Myint 2008)
Vietnam 58,100 (AgroInfo 2008)
Total 1,057,452
Jeff Fox, EWC, 2010
Hotspots of LCLUC in Mainland
Southeast Asia (1990 to 2008)
F= forest; RP = rice/paddy; PA = protected area; AQ = Shrimp aquaculture;
PT = Perennial trees; NTR = non-traditional rubber. Numbers from FAOSTAT;
FAO World Forests; World Bank World Development Indicators; IUCN
Protected Areas.
Total area in square kilometers Annual rate of increase in %
-80,000
-60,000
-40,000
-20,000
0
20,000
40,000
60,000
F RP PA AQ PT NTR
Cambodia
Laos
Myanmar
Thailand
Vietnam
-10.00
0.00
10.00
20.00
30.00
40.00
50.00
60.00
70.00
80.00
90.00
F RP PA AQ PT NTR
Cambodia
Laos
Myanmar
Thailand
Vietnam
CRRI