Use of IACS data in the frame of LULUCFMarco BERTAGLIA, European Commission, Joint Research Centre...

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1 Use of IACS data in the frame of LULUCF Marco BERTAGLIA, European Commission, Joint Research Centre Control and management of agricultural land in IACS Baveno, 23-25 May 2016 From IPCC 5 th Assessment Report Agriculture Forestry & Other Land Use Indirect GHG emissions Role of AFOLU

Transcript of Use of IACS data in the frame of LULUCFMarco BERTAGLIA, European Commission, Joint Research Centre...

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    Use of IACS data in the frame of LULUCF

    Marco BERTAGLIA, European

    Commission, Joint Research Centre

    Control and management ofagricultural land in IACS

    Baveno, 23-25 May 2016

    From IPCC 5th Assessment Report

    AgricultureForestry &OtherLandUse

    Indirect GHG emissions

    Role of AFOLU

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    AFOLU ¼ of global GHG emissions, mostly LULUCF

    LULUCF as a sink can reduce emissions

    Source: World Resources Institute, 2014

    Degraded land and forests

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    EU reduced total GHGs by ± 20% since 1990

    Agriculture reduced GHGs by ± 24% since 1990

    -600

    -400

    -200

    0

    200

    400

    600

    800

    Mt

    CO

    2eq

    . yr

    -1

    In 2012:

    � Agriculture (CH4, N20) ≈10% of total EU GHGs

    � Cropland (CO2, under LULUCF) ≈2% of EU GHGs

    � Forests (LULUCF) absorbs ≈10% of total EU GHGs

    The role of Agriculture on EU GHG budget

    (data from MS GHG inventories)

    LULUCF land use

    categories:

    • Forest land

    • Cropland

    • Grassland

    • Wetlands

    • Settlements

    • Other lands

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    UNFCCC KYOTO PROTOCOL

    Reporting Accounting

    Agriculture

    CH4 and N2O from

    agricultural soils,

    livestock, and manure.

    LULUCF

    (Land Use,

    Land Use

    Change, and

    Forestry)

    Emissions from 6 land

    uses

    Emissions only from human activities

    FL

    CL

    GL

    WL

    S

    O

    D

    Voluntary

    AR

    FM

    CM

    GM

    RV

    WM

    Forest Land

    Cropland (CO2)

    Grassland (CO2)

    Wetland

    Settlement

    Other Land

    Aff/Reforest. Deforest.

    Forest Management

    Cropland mgmt. (CO2)

    Grazing land mgmt. (CO2)

    Wetland

    Revegetation

    Compulsory

    Reporting & accounting (Annex I countries)

    UNFCCC KYOTO PROTOCOL

    Reporting Accounting

    Agriculture

    CH4 and N2O from

    agricultural soils,

    livestock, and manure.

    LULUCF Emissions from 6 land uses

    Emissions only from human activities

    FL

    CL

    GL

    WL

    S

    O

    D

    Voluntary

    AR

    FM

    CM

    GM

    RV

    WM

    Compulsory for EU under Decision 529/2013 (“LULUCF Decision”)

    Reporting & accounting (Annex I countries)

    Forest Land

    Cropland (CO2)

    Grassland (CO2)

    Wetland

    Settlement

    Other Land

    CompulsoryAff/Reforest. Deforest.

    Forest Management

    Cropland mgmt. (CO2)

    Grazing land mgmt. (CO2)

    Wetland

    Revegetation

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    Decision 529/2013/EU of 21.05.2013

    = The “LULUCF Decision” on accounting rules

    1. 2016-2018 = systems & methodologies

    2. � 2022 = preliminary non-binding estimations for CM & GM

    3. By 15 March 2022: final annual estimations

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    Main Datasets assessed

    • IACS / LPIS

    • Eurostat

    • Land Use/Cover Area Frame Survey (LUCAS)

    • Farm Structure Surveys (FSS)

    • Farm Accountancy Data Network

    • CORINE Land Cover

    LPIS LAND COVER

    As a minimum:

    • Arable land

    • Permanent crops

    • Permanent grassland

    • Permanent EFA elements

    No forests (except afforest.)

    Status � change!

    Triennial update

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    ?There is still no definition of LPIS in the Regulations (see art. 70 Reg. 1603/2013) & many competing terms (LPIS-GIS, IACS-GIS) cause confusion …

    � need to apply INSPIRE compliant definitions !!!

    Working LPIS definition

    Clear inventory of what LPIS must hold:

    1. A stable identification of land cover and/or use units (i.e. the basis for eligibility for any scheme)

    2. the “eligible hectares” value for 1. support schemes, 2. area-related measures3. Ecological Focus Area (EFA)4. Areas with Natural Constraints (ANC)

    3. A reference layer of features that represent stable EFA-elements

    LPIS is the spatial database that permits (spatial andalphanumeric) queries and data retrieval in functionof the aid application and administrative cross-checks

    � LPIS ≡ the single GIS for IACS

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    Key spatial concepts

    Reference parcelArt 70 Reg. 1306/2013: “[…] of GIS techniques, including aerial or spatial orthoimagery, with a homogenous standard […] of accuracy of 1:10 000 and, as from 2016, of 1:5 000, while taking into account the outline and condition of the parcel.

    …contains a reference layer to accommodate EFA…2018

    Art 5 640/2014: … contain a unit of land representing agricultural area … delimit …to ensure that the reference parcel is measurable, enables the unique and unambiguous localisation of each agricultural parcel annually declared and as a principle, is stable in time.

    …determine a MEA for support schemes, area measures, EFA, ANC

    …area . within a margin of maximum 2 %.

    Agricultural parcelArt. 67 Reg. 1306/2013: “continuous area of land, declared by one farmer, which does not cover more than one single crop group; however, where a separate declaration of the use of an area within a crop group is required in the context of Reg. 1307/2013, that specific use shall if necessary further limit the agricultural parcel;”

    Note: crop group is Chapter- / scheme-dependent (Reg. 640/2014)

    123xyz1.23ha1.10ha

    123xyz1.23ha

    123xyz1.23ha

    Eligible area (land cover) recorded officially

    Prevents Double Declaration

    unique identifier

    Stable over time

    LPIS Reference Parcelunit of administration and control

    LPIS custodian

    Locates [claimed] land

    Boundary in GIS

    Area officially known

    123xyz1.23ha

    Agricultural Parcelunit of payment and inspection

    farmer and inspectors

    Payment calculation

    Controlled object

    “Contracted”area in

    application

    123xyz--A: location in application

    Land use declared by farmer

    Area declared for aid

    1.10ha

    May be unstable over time

    agricultural vs reference parcelREFERS TO

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    123xyz1.23ha

    Eligible area (land cover) recorded officially

    Prevents Double Declaration

    unique identifier

    Stable over time

    LPIS Reference Parcelunit of administration and control

    LPIS custodian

    Locates [claimed] land

    Boundary in GIS

    Area officially known

    123xyz1.23ha

    Geospatial Applicationunit of payment and inspection

    farmer and inspectors

    Payment calculation

    Controlled object

    “Contracted”area in

    application

    unique identifier

    Boundary in GIS

    land use declared for aid

    1.10ha

    May be unstable over time

    agricultural vs reference parcelrefers to

    Prevents Double Declaration

    X-checked object

    Other spatial CAP conceptsImplied before, explicit needs now:

    o Crop = unit of cultivation � for crop diversification

    o Holding = unit of responsibility � for (collective) EFA

    o Landscape feature � for EFA-procedures

    Newly defined:

    o Land Cover classes:

    • PG, PC, Arable (and pro-rata grasslands)

    • areas that are naturally kept in a state suitable for grazing or cultivation

    o EFA-”layer” elements

    • Landscape features (ditches, ponds, trees,…) = land cover

    • practices (strips, margins, fallow crops,…) = land use

    o Land use restrictions: carbon rich soils and wetlands

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    Geo-spatial application

    LAND USE

    Type of crops

    Management system

    � UNFCCC activities

    Why IACS/LPIS for LULUCF Accounting?

    • Geolocalised

    • Quality-checked (OTSC + LPIS QA)

    • Tier 2 / tier 3 potential

    • GSAA process extendable to ALL relevant data?

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    Strong points for IACS/LPIS

    • Large-scale spatial component inherent (1:5,000)

    • Spatial data & infrastructure of all MS on

    common, pan-European semantics

    • LPIS data subject to control processes

    • Data processes very similar for all systems

    • LPIS update cycle shorter than many

    • Historic record since 2005

    Methodological challenges

    • Map data semantics IACS � IPCC

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    IPCC sub-category

    Land cover classes in IACS / LPIS

    Semantic match

    Annual crops

    Arable land YES (matching)

    Kitchen gardens YES (Specialisation)

    Arable land with sparse trees

    YES (Specialisation)

    Perennial crops

    Permanent shrub crop, perm. tree crop, perm. herbaceous crop

    YES (Specialisation)

    Short rotation coppice YES (Specialisation)

    Agro-forestry areas YES (Specialisation)

    Temporary fallow

    Arable land (rain-fed with fallow system)

    YES (matching)

    Cost analysis

    • Designing the database upgrade

    • Extracting available data

    • Dedicated processing of IACS/LPIS data

    • Area for approach 3

    • Spatial aggregation for approach 2

    • Extending the farmer’s (geospatial) aid application

    It proves cost-effective to develop the system

    from the existing IACS / LPIS infractructure

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    Highlighted issues [inception meeting w/ MS]

    • Need for clarifications + contacts w/ LULUCF people

    • 1990 reference year vs. IACS/LPIS 2005

    • Farmer as data provider on management factors (?)

    • Need for EU-level legislative change or guidance: NOT

    for single MS to put additional Q’s in aid applications

    • DATA ACCESS / privacy & data protection issues

    Conclusion (1 of 2)

    Immediate off-the-shelf data availability limited (as expected because collecting data = €)

    No data / semantic incompatibility between the IACS and LULUCF domain was found

    IACS can offer

    • An updated, quality-controlled spatial reference (=LPIS)

    • A well-developed & monitored data capture system (=GSAA)

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    Conclusion (2 of 2)

    To use the IACS infrastructure, each MS will have to

    • derive CM/GM change data (either at RP or aggregated level)

    • adapt GSAA to capture missing factor data in an informative subsystem

    IACS & LULUCF display a lot of EU commonality

    Same should be true for IACS use “how-to”