indonesian palm oil industry under future climate change · presentation outline - global...
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Indonesian Palm Oil Industry Under
Future Climate Change
Prof. Dr. Edvin Aldrian,
Professor of Meteorology and Climatology BPPT
IPCC Working Group 1 Vice Chair
World Plantation Conference and Exhibition WPLACE 2017
Towards Sustainable Palm Oil Industry: Policy Coherence and Bioeconomy Perspective
Jakarta 18 – 20 October 2017
Presentation Outline
- Global challenges
- Forest Carbon Capacity in
Indonesia
- Palm Oil and Climate Change
- IPCC Reports
Global Challenges
Limit of Earth carrying capacity
Rockström, et al. 2009. Planetary boundaries:exploring the safe operating space
for humanity. Ecology and Society 14(2): 32
Population, welfare and emission
The future of the climate system (and our survival) depends on our ability to decouple future emissions from the other two factors: population and economic growth
Raupach et al. (2007, PNAS)
Ambient CO2 measurement
Trend= 2.67ppm (logarithmic)
Est Dec 2020+ 399.06 ppm
Est Dec 2020 -26%=392.63 ppm
Forest Carbon Capacity in
Indonesia
FAO-Global Resources Assessment 2005; Canadell et al. 2007, PNAS,
Slide courtesy of Dr. Tania June
Tropical Americas 40 %
Tropical Asia 25 %
Tropical Africa 35 %
Period: 2000-2007
Tropical deforestation
13 million ha per year
Emission from Land Use Change
Total contribution : 1.5 Pg C y-1
Bor
neo,
Cou
rtes
y: V
ikto
r B
oehm
BMKG
Net Primary Production (NPP) and
Net Ecosystem Exchange (NEE)
NPP shows the productivity of vegetated ecosystem.
NPP is the balance between CO2 absorption through photosynthesis processes (Gross photosynthesis, GPP) and release of CO2 through organ respiration (Rveg).
It is a total annual increment of the vegetation
NEE= NPP – soil respiration
It determine the change in [CO2] in the atmosphere
Slide courtesy of Dr. Tania June
BMKG
-10
-8
-6
-4
-2
0
2
4
6
8
CO
2flu
x g
(C)
m-2
d-1
RE
Fb
Pg
-10
-8
-6
-4
-2
0
2
4
6
8
CO
2flu
x g
(C)
m-2
d-1
RE
Fb
Pg
Ecosystem Respiration 1760 g C m-2 year-1
Net turbulent uptake 970 g C m-2 year-1
Gross photosynthesis 2730 g C m-2 year-1
CO
2 flu
x (
g (
C)
m-2
d-1
)
OCT ' 03 JAN ' 04 APR JUL OCT JAN ' 05 MAR
SFB 552 “STORMA“ Stability of Rainforest Margins in Indonesia (Elsevier 2007)
Tania June, ABdul Rauf, Dodo Gunawan (Indonesian team)
G. Gravenhorst, A.Ibrom, O. Panferov, Oltchev A.; H. Kreilein, T.Ross; U.Falk,
A.Sogachev, G.Rakibu (German team)
NEE
GPP
Slide courtesy of Dr. Tania June
Peatland drained forest, Central Kalimantan
Terrain: flat, Altitude: 30 m
Homogen, secondary forest,
drained
Canopy height = 26 m
Plant Area Index: 2.2
Peat depth = 3–5 m
2o20’41.6’’S , 114o2’11.3’’ E. Slide courtesy of Dr. Tania June
BMKG
GPP, RE dan NEE
-1
0
1
2
3
4
NEE (
gC
m-2
d-1
)a) NEE
2002
2003 2004
7
8
9
10
11
12
RE (
gC
m-2
d-1
)
b) RE
2002 2003 2004
Dec. Jun. Dec. Jun. Dec. Jun. Dec.-11
-10
-9
-8
-7
-6
Month
GPP (
gC
m-2
d-1
) c) GPP
2002
2003 2004
Year NEE
(gC m-2 y-1)
RE
(gC m-2 y-1)
GPP
(gC m-2 y-1)
2002 447 3439 -2992
2003 282 3366 -3084
2004 211 3488 -3276
Mean 314±121 3431±61 -3117±145
(Global Change Biology, 2007)
T. Hirano, M. Osaki (Japanese
team)
Suwido Limin, Tania June
(Indonesian Team)
Blocking of drainage starting in
2002. El Nino year in 2002.
Slide courtesy of Dr. Tania June
Emission Sink and source from Indonesian forest
o Emission from peatland (314 gC m-2 y-1) is one third
of the absorption or sink from natural forest (970 gC
m-2 y-1)
o Therefore we need only one third of natural forest in
Indonesia to absorp the emission from the largest
carbon source which is peatland
o Emission reduction in peatland from 447 to 221 gC
m-2 y-1 after damming shows the effectiveness of
rewetting of peatland.
o The largest source of absorption (carbon pools) in
Indonesia proves that the accusation of the large
emission contradict with the fact of large capacity of
absorption of Indonesian soil and forest.
BMKG
Palm Oil and Climate Change
Potential renewable energy (RE) untapped
Potential path to Food and Energy security
Slow down carbon emission, biofuel plants capture
atmospheric carbon, do not increase the carbon in
the atmosphere
Displace some fossil fuel with B5
Watch out for inappropriate land clearing and
peatland dryness
Need better strategy to understand future
suitability map of palm oil
Why Food and Bio-energy Together?
Biodiesel-share in total diesel consumption(in energy equivalent)
0%
2%
4%
6%
8%
10%
Canada
USA
EU(27)
Austra
liaArg
entina
Brazil
Mala
ysia
Philippin
es
Thailand
2009
2018
Source: FAO/OECD
Biodiesel demand Biodiesel production:
• demand strongly driven by national utilization mandates plus subsidies
• commercial viability not secured
• global biodiesel production to more than double: +127% (2009-2018)
expansion in transport fuel
rising share of diesel in transp. Fuel
• shares of BD in total transport fuel to
remain modest few important players.
BD production - current and projected
0
4
8
12
16
20
A
rgen
tina
B
razi
l
Canada
C
olo
mbia
EU
(27)
In
dia
In
dones
ia
Mal
aysi
a
Thaila
nd
US
A
billio
n lit
ers
2006-2008
2018
Source: FAO/OECD
Growth in biodiesel production(2006-08 over 2018)
0
200
400
600
800
Arg
entin
a
Bra
zil
Can
ada
Col
ombia
EU(2
7)
Indones
ia
Mal
aysi
a
Thai
land
USA
avg o
f mai
n pro
ducer
s
pe
rce
nt
Source: FAO/OECD
.Source: Peter Thoenes, 2009
Influence of Climate on Palm Oil Production Year Year
No
Production
(GT)*
Area (1000 ha)* Productivity
(ton/ha)*
SOI**
2002 1 9.370 2,790 3.36 -9.67
2003 2 10.600 3,030 3.50 -3.73
2004 3 12.380 3,320 3.73 -3.72
2005 4 14.100 3,690 3.82 -0.52
2006 5 16.070 4,110 3.91 -10.08
2007 6 17.420 4,560 3.82 1.27
2008 7 19.400 4,980 3.90 6.58
2009 8 21.000 5,370 3.91 -3.60
2010 9 22.100 6,235 3.54 15.73
2011 10 24.300 6,609 3.68 5.68
2012 11 26.900 7,150 3.76 -2.45
2013 12 28.820 7,720 3.73 5.32
2014 13 31.500 8,150 3.87 -4.50
2015 14 33.400 8,630 3.87 -16.35
2016 15 32.600 9,130 3.57 4.55
2017 16 34.912 9130 3,82 Normal SOI: Southern Oscillation Index, El Nino indicator
Trend of Southern Oscillation Index (SOI)
and Indonesian Palm Oil Productivity
(ton/ha) 2002-2016
Palm Oil is susceptible to too wet and to dry climate,
then too cold and too warm climate
Palm Oil land Suitability How the future climate changes this?
Threshold for climate criteria for
Palm Oil suitability study Parameter Mnemonic Values
Limiting low temperature DV0 19 °C
Lower optimal temperature DV1 24 °C
Upper optimal temperature DV2 28 °C
Limiting high temperature DV3 36 °C
Limiting low soil moisture SM0 0.4
Lower optimal soil moisture SM1 0.6
Upper optimal soil moisture SM2 1.6
Limiting high soil moisture SM3 2
Cold stress temperature threshold TTCS 15 °C
Cold stress temperature rate THCS − 0.005 week−1
Minimum degree-day cold stress threshold DTCS 20 °C days
Degree-day cold stress rate DHCS − 0.0005 week−1
Heat stress temperature threshold TTHS 36 °C
Heat stress temperature rate THHS 0.001 week−1
Dry stress threshold SMDS 0.4
Dry stress rate HDS − 0.007 week−1
Wet stress threshold SMWS 2
Wet stress rate HWS 0.0023 week−1
Degree-day threshold PDD 1500 Source: Paterson et al.,, 2015
Present day Palm Oil suitability
Source: Paterson et al.,, 2016
Palm Oil suitability in 2050
Source: Paterson et al.,, 2016
Palm Oil suitability in 2100
Source: Paterson et al.,, 2016
Source: Paterson et al.,, 2015
Present day Palm Oil suitability
2030 Highly suitable
Suitable
Marginally suitable
Unsuitable
Source: Paterson et al.,, 2015
2070
2100
Summary of Palm Oil suitability under
future climate change for Indonesia
Scenario
Area (km2)
Unsuitable Marginal Suitable Highly Suitable
Current 332,880 6,122 7,908 1,794,493
2030 A1B CS 220,135 13,264 49,741 1,858,263
2030 A2 CS 228,807 11,479 44,639 1,856,478
2030 A1B MR 225,236 8,928 22,192 1,885,047
2030 A2 MR 235,184 8,673 19,896 1,877,649
2070 A1B CS 139,784 86,983 291,047 1,623,589
2070 A2 CS 136,723 100,502 344,104 1,560,074
2070 A1B MR 143,355 17,856 208,911 1,771,281
2070 A2 MR 136,213 21,427 252,785 1,730,978
2100 A1B CS 123,969 415,782 593,573 100,8079
2100 A2 CS 202,279 821,360 387,723 730,041
2100 A1B MR 104,583 139,274 519,600 1,377,946
2100 A2 MR 83,922 526,232 630,815 900,435 Source: Paterson et al.,, 2015
Notes on the model use
The A1B scenario portrays a balance between the use
of fossil and non-fossil resources.
the A2 describes a varied world with high population
growth but slow economic development and
technological change
Two Global Climate Models (GCMs), CSIRO-Mk3.053
and MIROC-H (Centre for Climate Research, Japan)
Use SRES climate scenarios of IPCC AR4. AR5 uses RCP
scenarios and AR6 will use SSP scenarios. Need to
improve the climate scenario.
The modeling is a pure climate scenarios, without land
use dynamics, desease dynamics and sosio economic
dynamics
Palm Plantation and Climate Change
no consensus on ultimate net global impact on agricultural production
global warming and changing rainfall patterns potentially beneficial in high latitude regions damaging in low latitude tropical areas
uncertainty regarding the effects of higher atmospheric CO2 concentration (carbon fertilization)
consensus: ◦ food security to be affected ◦ considerable scope to improve resilience via
adaptation ◦ until 2050: increased risk of water stress; rising
incidence of extreme weather events ◦ after 2050: significant impact on agricultural
productivity (shifts in production frontiers) and on the global food system
Palm Oil Plantation and global warming
- Land
clearing
- Biomass
Burning
BIOFUEL
VS
FOOD SECURITY
GHG emission GHG sink No GHG emission
Plant growth absorb carbon
from the atmosphere through its
respiration
IPCC Reports
IPCC Bureau
members
2015 - 2022 34 persons total
Elected in IPCC session in Dubrovnik 2015
Indonesia representative is the 2nd
in history
http://www.ipcc.ch/organization/bureaumembers.shtml
• Special report on 1.5°C (09/2018)
• Special report on ocean and cryosphere (2019)
• Special report on desertification, land degradation,
sustainable land management, food security (2019)
• TFI methodological report on greenhouse gas emission
inventories (2019)
• Main assessment report of WGs (end of 2020 –
beginning of 2021)
• Working Group I Physical Basis
• Working Group II Impact, Vulnerability, Adaptation
• Working Group III Mitigation
• IPCC Special Workshop on Cities Edmonton Canada Feb
2018
Current IPCC agenda
Conclusions
The global challange includes the threat of global carbon
cycle that cause global warming
For a clearance of an acre of forest for plantation, we
need a third of an acre of virgin forest to balance.
The maritime continent Indonesia is the highly suitable are
for Palm oil
Future climate model scenario using SRES scenarios
indicates reduction of suitable ares for palm oil in
Indonesia especially after 2070.
There is a need to improve climate modeling using soil
type dynamics, new IPCC model scenario of RCP and
SSP as well as ecological dynamics.
TERIMA KASIH
THANK YOU