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Indonesia’s	Approach	in	Improving	its	
Livestock	Emissions	Inventory	
Improving MRV for Agricultural Emission Reductions in the Livestock Sector
7 November 2016
Dr.	Bess	Tiesnamurti	
Director	of	
Indonesian	Centre	for	Animal	Research	and	Development
I.	Activity	Data	
II.	Progress	to	date	for	Livestock		
Emission	factor	using	Tier	2
III.	Coordination	of	agencies
OUTLINE	OF	PRESENTATION
20,530,461
161,574
CH4	enteric
(tonnes	CO2-e/year)
Ruminant
Non-ruminant Year	2015
824,765
2,339,236
CH4	Manure
(tonnes	CO2-e/year)
Ruminant
Non-ruminant Year	2015
Ø GHG emission from livestock using Tier 1.
Ø Data animal population from Statistics Indonesia
Ø Emission factor using IPCC default factor (IPCC 2006)
I.	ACTIVITY	DATA
14,535,549
644,343
1,689,660
1,957,200
1,541,925
161,784
beef	cattle
dairy	cattle
sheep
goat
bufallo
horse
CH4	enteric
(tonnes	CO2-e/year)
Contribution	of	methane	among	ruminant	using	Tier	1
0
10
20
30
40
50
60
Male Female Young	(1	year)
Indonesia
Malaysia
IPCC	Default	Emission	
Factor	for		Asia
Actual	calculated	emission	factors	for	beef	cattle	for	Indonesia	and	
Malaysia	relative	to	the	default	IPCC	emission	factors
(Adjusted	Tier	1)
II.Progress	to	date	for	Livestock	Emission	factor	using	Tier	2
• Type	of	Livestock
• Sub	category
Livestock	
Population
• Type	of	diet
• Feed	consumption
Feed	Intake
• GE content	of	diet
• proximate/Feedpedia
Gross	Energi	
Intake
Methane	
Conversion	Ratio
• IPCC	2006 guidance
Statistics	Indonesia,	
Directorat	General	of	
Livestock	and	Animal	
Health
Experimental	Results
Experimental	
Results
Data	used	to	get	Emission	factors	Using	Tier	2
=	Emission	Factor
Local	Data	combined	with	IPCC	2006
65%
4%
11%
9%
7%
4%
BEEF	CATTLE
DAIRY	CATTLE
BUFFALO
SHEEP
GOAT
HORSE
Contribution	of	methane	from	enteric	fermentation	from	
each	species	of	livestock	in	year	2014	using	Tier	2
0.000
0.200
0.400
0.600
0.800
1.000
1.200
1.400
1.600
1.800
2006 2007 2008 2009 2010 2011 2012 2013 2014
poultry
horse
swine
goat
sheep
buffalo
dairy	
cattle
CH4	from	Manure	(CO2-e	Gg/year)
Year
Methane	from	Manure	management	in	year	2014	using	Tier	2
0.000
0.500
1.000
1.500
2.000
2.500
3.000
3.500
4.000
4.500
2006 2007 2008 2009 2010 2011 2012 2013 2014
poultry
horse
swine
goat
sheep
buffalo
dairy	cattle
beef	cattle	
Year
N2O	from	manure	(CO2-e	Gg/year)
N2O	from	Manure	management	in	year	2014	using	Tier	2
0.000
5.000
10.000
15.000
20.000
25.000
30.000
2006 2007 2008 2009 2010 2011 2012 2013 2014
Tier	1 Tier	2Year	
Trend	of	CH4	from	enteric	fermentation	year	2006	to	2016	(Tier	1	vs	Tier	2)	
0.000
0.500
1.000
1.500
2.000
2.500
3.000
3.500
4.000
2006 2007 2008 2009 2010 2011 2012 2013 2014
Tier	1 Tier	2
Year
CH4	from	manure	(CO2-e	Gg/year)
Innovation	Technologies	for	Adaptation
Selected	breed	that	adapt	to	climate	change
q Sheep	(6	breeds:	St	Croix Sheep,	Local	Sumatera	
Sheep,	Local	Garut Sheep,	Composit Sumatera	
Sheep,	Composit Garut Sheep,	dan Barbados Cross	
Sheep).
q Dairy	Goat	(4	breeds:	Etawah	Crossbred,	Sapera	
Crossbred,	Anpera	(Anglo	Nubian x	PE) dan	Anglo	
Nubian)
q Goat	(3	breeds:	Kacang, Boer,	Boerka)
Mitigation	Technologies	for	enteric	methane		
A.			Feed	Processing :		Ensilage	,	ammoniation,	fermentation	
B.			Feed	Supplement	:	Leguminouse	leaves,	balance	ration
C.			Feed	additives	:	
1.	Saponin	(Lerak	/Sapindus	lerak)
2.	Tannin	(Acasia,	Calliandra)	
3.	Probiotic	(Acetoanaerobium noterae and A.	woodii)
4.	Complete	rumen	modifier	(CRM)
NO Animal PARAMETER Results
1 Beef	cattle 1) Average	daily	gain	 20	%				
2 Sheep2) Average	daily	gain	 40	– 44	%				
Feed Conversion	Ratio	 20	%					
CH4	enteric	emmited 31	%
Extract	saponin	from	Sapindus	rarak	
1) Astuti et al.,	2007.
2) Amlius,	2004
Feed	Additives
NO Animal PARAMETER	 Methane
enteric	
emmited	
1 A. Wodii	 CH4	from		enteric 9.4	%				
2 A.	Wodii	+	
saponin	
CH4	from		enteric 12.4	%				
3 A.	Noterae CH4	from		enteric 11.6	%					
4 A.	Noterae +	
saponin	
CH4	from		enteric 19.1	%
Effect	of	addition	of	probiotics		Acetoanaerobium noterae and
Acetoanaerobium woodii)		on	enteric	methane	emmited
Amlius,	2008
NO PARAMETER	 RESULT
1 Average daily	gain 30	– 47	%			
2 Feed	Conversion	Ratio 18	%				
3 Feed efficiency	 38	%					
4 CH4	production	from	enteric 21	– 40	%
Addition	of		Complete	Rumen	Modifier	(CRM) on	sheep	
Thalib	et	al.,	2011
0
5
10
15
20
25
30
35
40
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
CH4	Emission(million	tonnes	CO2-e/year
years
15	%	Reduction
After	mitigation	
tecnologies
Estimation	of	methane	reduction	after	tecnologies	mitigation	
were	applied.	
without	mitigation	technologies
III.	COORDINATION	AMONG	AGENCIES	
BAPPENAS
(National Planning
Agency)
MINISTRY OF
FORESTRY AND
ENVIRONMENT
MINISTRY OF
AGRICULTURE
LOCAL
GOVERMENT
LIVESTOCK
FARMERS EXTENTION
Coordination	to	collect	data
Institutional	Arrangement	for	GHG	Inventory	in	Indonesia
MoEF
(Directorat
e	for	GHG	
Inventory	
and	MRV)
Source:	National	Planning	Agency		of	
Indonesia,	2011
Local	Emission	Factors	from	
Research/Universities
For	Livestok,	Rice	
Cultivation,	Fertilizer
…Indonesia	commits	to	reduce	(its	GHG	emission)	by	
26%	from	BAU	level	by	2030	and	41%	with	
International assistance…
1.	President	Decree	61	(2011)	:
2.	 NAP-GHG,	2014	
Presidential	Regulation	No.61	Year	
2011	:	NAP-GHG	(National	Action	
Plan	on	GHG	Emissions	Reduction)
NAP-GHG:	Dual	approach	for	
allocating	mitigation	efforts
Sectoral
Agriculture,	
forestry
&	land	use,	
energy,	waste
Regional
Develop	local	
mitigation	action	plans	
(Regional	Action	Plan	
on	GHG	Emissions	
Reduction/RAP-GHG)	
at	provincial	and	
district	level
INDONESIA’S	POLICIES TO	SUPPORT	ACTION	PLAN	ON	CLIMATE	
CHANGE
COP 22 Side Event: Indonesia's Approach in Improving its Livestock Emissions Inventory

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