COP 22 Side Event: Indonesia's Approach in Improving its Livestock Emissions Inventory

Indonesia’sApproachinImprovingitsLivestockEmissionsInventory

Improving MRV for Agricultural Emission Reductions in the Livestock Sector7 November 2016

Dr.BessTiesnamurti

DirectorofIndonesianCentreforAnimalResearchandDevelopment

I.ActivityData

II.ProgresstodateforLivestockEmissionfactorusingTier2

III.Coordinationofagencies

OUTLINEOFPRESENTATION

20,530,461

161,574

CH4enteric(tonnesCO2-e/year)

Ruminant

Non-ruminant Year2015

824,765

2,339,236

CH4Manure(tonnesCO2-e/year)

Ruminant

Non-ruminant Year2015

Ø GHG emission from livestock using Tier 1.Ø Data animal population from Statistics IndonesiaØ Emission factor using IPCC default factor (IPCC 2006)

I.ACTIVITYDATA

14,535,549

644,343

1,689,660

1,957,200

1,541,925

161,784

beefcattle

dairycattle

sheep

goat

bufallo

horse

CH4enteric(tonnesCO2-e/year)

ContributionofmethaneamongruminantusingTier1

0

10

20

30

40

50

60

Male Female Young(1year)

Indonesia

Malaysia

IPCCDefaultEmissionFactorforAsia

ActualcalculatedemissionfactorsforbeefcattleforIndonesiaandMalaysiarelativetothedefaultIPCCemissionfactors

(AdjustedTier1)

II.ProgresstodateforLivestockEmissionfactorusingTier2

• TypeofLivestock• Subcategory

LivestockPopulation

• Typeofdiet• Feedconsumption

FeedIntake

• GE contentofdiet• proximate/Feedpedia

GrossEnergiIntake

MethaneConversionRatio • IPCC2006 guidance

StatisticsIndonesia,DirectoratGeneralofLivestockandAnimalHealth

ExperimentalResults

ExperimentalResults

DatausedtogetEmissionfactorsUsingTier2

=EmissionFactorLocalDatacombinedwithIPCC2006

65%

4%

11%

9%

7% 4%

BEEFCATTLE

DAIRYCATTLE

BUFFALO

SHEEP

GOAT

HORSE

Contributionofmethanefromentericfermentationfromeachspeciesoflivestockinyear2014usingTier2

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

dairycattle

CH4from

Manure(CO2-eGg

/year)

Year

MethanefromManuremanagementinyear2014usingTier2

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

dairycattle

beefcattle

Year

N2Ofrom

manure(CO2-eGg

/year)

N2OfromManuremanagementinyear2014usingTier2

0.000

5.000

10.000

15.000

20.000

25.000

30.000

2006 2007 2008 2009 2010 2011 2012 2013 2014Tier1 Tier2Year

TrendofCH4fromentericfermentationyear2006to2016(Tier1vsTier2)

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

Tier1 Tier2YearCH

4from

manure(CO2-eGg

/year)

InnovationTechnologiesforAdaptation

Selectedbreedthatadapttoclimatechangeq Sheep(6breeds:StCroix Sheep,LocalSumatera

Sheep,LocalGarut Sheep,Composit SumateraSheep,Composit Garut Sheep,dan Barbados CrossSheep).

q DairyGoat(4breeds:EtawahCrossbred,SaperaCrossbred,Anpera(AngloNubian xPE) danAngloNubian)

q Goat(3breeds:Kacang, Boer,Boerka)

MitigationTechnologiesforentericmethane

A.FeedProcessing :Ensilage,ammoniation,fermentation

B.FeedSupplement:Leguminouseleaves,balanceration

C.Feedadditives:1.Saponin(Lerak/Sapinduslerak)2.Tannin(Acasia,Calliandra)3.Probiotic(Acetoanaerobium noterae and A.woodii)4.Completerumenmodifier(CRM)

NO Animal PARAMETER Results

1 Beefcattle 1) Averagedailygain 20%

2 Sheep2) Averagedailygain 40– 44%

Feed ConversionRatio 20%

CH4entericemmited 31%

ExtractsaponinfromSapindusrarak

1) Astuti et al.,2007.2) Amlius,2004

FeedAdditives

NO Animal PARAMETER Methaneentericemmited

1 A. Wodii CH4fromenteric 9.4%

2 A.Wodii+saponin

CH4fromenteric 12.4%

3 A.Noterae CH4fromenteric 11.6%

4 A.Noterae +saponin

CH4fromenteric 19.1%

EffectofadditionofprobioticsAcetoanaerobium noterae andAcetoanaerobium woodii)onentericmethaneemmited

Amlius,2008

NO PARAMETER RESULT

1 Average dailygain 30– 47%

2 FeedConversionRatio 18%

3 Feed efficiency 38%

4 CH4productionfromenteric 21– 40%

AdditionofCompleteRumenModifier(CRM) onsheep

Thalibetal.,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

CH4Em

ission(m

illiontonn

esCO2-e/year

years

15%Reduction

Aftermitigationtecnologies

Estimationofmethanereductionaftertecnologiesmitigationwereapplied.

withoutmitigationtechnologies

III.COORDINATIONAMONGAGENCIES

BAPPENAS(National Planning

Agency)

MINISTRY OF FORESTRY AND ENVIRONMENT

MINISTRY OF AGRICULTURE

LOCAL GOVERMENT

LIVESTOCK FARMERS EXTENTION

Coordinationtocollectdata

InstitutionalArrangementforGHGInventoryinIndonesia

MoEF(DirectorateforGHGInventoryandMRV)

Source:NationalPlanningAgencyofIndonesia,2011

LocalEmissionFactorsfromResearch/UniversitiesForLivestok,Rice

Cultivation,Fertilizer

…Indonesiacommitstoreduce(itsGHGemission)by26%fromBAUlevelby2030and41%withInternational assistance…

1.PresidentDecree61(2011):

2. NAP-GHG,2014

PresidentialRegulationNo.61Year2011:NAP-GHG(NationalActionPlanonGHGEmissionsReduction)

NAP-GHG:Dualapproachforallocatingmitigationefforts

SectoralAgriculture,forestry&landuse,energy,waste

RegionalDeveloplocal

mitigationactionplans(RegionalActionPlanonGHGEmissions

Reduction/RAP-GHG)atprovincialanddistrictlevel

INDONESIA’SPOLICIES TOSUPPORTACTIONPLANONCLIMATECHANGE