LAFO

Land Footprint of EU consumption
Fact Sheet

Source: Commission modelling inventory and knowledge management system (MIDAS)

Date of Report Generation: Thu Mar 06 2025

Dissemination: Public

© European Union, 2025

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Overview

Acronym

LAFO

Full title

Land Footprint of EU consumption

Main purpose

The Land Footprint (LAFO) model aims to identify the amount of land (cropland, grassland and forest land) used within and outside the EU to meet the consumption needs of EU citizens.

Summary

The European Union is a major producer and trading partner of bio-based products and commodities worldwide. It is therefore crucial to estimate the consequences of EU consumption in terms of the related land demand both domestically and outside the EU. As part of its commitment towards more sustainable production and consumption and the transition to a sustainable bioeconomy, the European Commission developed a physical-based model to estimate the use of land related to EU consumption, distinguishing between domestic land and virtual land embodied in trade. Building on EU land use statistics and bilateral trade statistics related to more than 500 commodities, the model performs yearly estimations of cropland, grassland, and forest land used to produce bio-based products consumed in the EU, by country of origin (De Laurentiis et al., 2024).

Estimating how much land is embodied in the EU’s consumption, and especially how much land is embodied in EU’s imports, is fundamental to understand how much pressure the EU puts on other countries by importing products that require significant amounts of land use to be produced. To this end, before being converted into their associated land use, imported commodities are associated to their country of production, taking into account the whole value chain. For example, the cropland embedded in EU imports of chocolate from Switzerland and consumed in the EU is assigned to the countries where the cocoa was originally cultivated.

The resulting estimates offer a high level of granularity, allowing the use of this model to perform scenario analyses (e.g. assessing the effect of dietary shifts). Furthermore, these estimates can serve as input data to assess other pressures and impacts linked to EU consumption, such as potential deforestation and related emissions, as well as impacts on soil and on biodiversity.

This model may serve policy makers for three main aspects that can support the analysis of both existing and future policies:

  • Monitoring of policies along time
  • Identification of hotspots at different levels (e.g. products responsible for larger use of land or countries from which the EU is importing more virtual land)
  • Analysis of policy and green transition scenarios

Model categories

AgricultureClimateEnvironment

Model keywords

land usesustainabilitytradebioeconomyEnvironmental Impactconsumption

Model homepage

Ownership and Licence

Ownership

EU ownership (European Commision)

Ownership details

This model has been developed in the context of a collaboration between the JRC and ESTAT and its resulting estimates are provided on Eurostat’s publically available online database.

Licence type

No information available

Details

Structure and approach

Building on EU land use statistics and bilateral trade statistics related to more than 500 commodities, the Land Footprint model performs yearly estimations of cropland, grassland, and forest land used to produce bio-based products consumed in the EU, by country of origin (De Laurentiis et al., 2024).

The land footprint of EU consumption is calculated by adding together the domestic land footprint (land use taking place within EU borders) and the land footprint of net trade (land footprint of imports minus land footprint of exports). When calculating the land footprint embodied in imports, only commodities imported to be consumed in the EU are considered, thus excluding the land embodied in commodities imported to be exported (either as such or after transformation). Similarly, the land footprint embodied in EU exports is calculated considering only the exported commodities that originated from EU production, and not from imports. In this way, the land embodied in imports corresponds to a use of land taking place outside EU borders driven by EU consumption, and the land embodied in exports corresponds to a use of land taking place within EU borders.

Three different land uses are considered:

  • Cropland use: harvested area necessary to grow annual and permanent crops (fallow land is excluded from this definition).
  • Grassland use: the hypothetical area needed for grazing if a country's grazing land were used at maximum intensity, based on the current productivity of natural grazing lands and assuming a maximum threshold for sustainable use of grazed biomass.
  • Forest land use: hypothetical area needed for timber production under the assumption of non-depleting stocks.

The commodities modelled belong to 5 groups: primary crops, plant-based products (deriving from primary crops after transformation), livestock products, fish products, timber-based products. For all groups, the first step involves re-allocating imported and exported commodities to the country where land was used to produce them. Then each commodity is converted into their embodied cropland, grassland, or forestland (or a combination of the first two), following a calculation approach tailored to the commodity group. This involves the use of yield data (in the case of primary crops), of a combination of technical coefficients (e.g. expressing production efficiencies) allowing to convert processed commodities in their primary commodity equivalent, and yield data (for plant-based products, fish products, and livestock products), or a combination of technical coefficients and forests net annual increment values, in the case of timber-based products. To account for co-production in both plant-based and livestock products (e.g. the production of soy-oil and soy-cake from the same crop), economic allocation is performed, entailing that the input primary commodity equivalent is partitioned between two or more output co-products in proportion to their economic value.

Domestic grassland and forest land are modelled in a similar way, using as a starting point statistics on production of livestock products and roundwood removals. Instead domestic cropland use is taken directly from harvested area reported for primary crops in EU land use statistics.

Input and parametrization

The Land Footprint model in based on the combination of:

  • Bilateral trade data between the EU and non-EU countries
  • Bilateral trade data between non-EU countries
  • Production data of crops and livestock products
  • Roundwood removals
  • Yield data by crop and country of origin
  • Net primary productivity of grassland by country of origin
  • EU harvested areas for primary crops
  • Net annual increment of wood in EU and non-EU countries
  • Technical coefficients (e.g. production efficiencies, livestock diet composition, feed conversion ratios) taken from the scientific and technical literature.

Main output

The Land Footprint model provides yearly estimates of cropland, grassland, and forest land for each considered product code at different scales.

For domestic production:

  • At EU level
  • At Member States level

For imports:

  • Disaggregated by country of origin (e.g. reporter EU27, partner Brazil)
  • Aggregated across countries of origin (i.e. reporter EU27, partner extra-EU27)

For exports:

  • Aggregated across receiving countries (i.e. reporter EU27, partner extra-EU27)

Spatial & Temporal extent

The output has the following spatial-temporal resolution and extent:

ParameterDescription
Spatial extent / country coverageEU Member states 27ALL countries of Europe
The model is providing land use in EU27 and all extra EU countries from which the EU imports biobased commodities.
Spatial resolutionWorld-regions (supranational)National
Temporal extentMedium-term (5 to 15 years)
Temporal resolutionYears

Quality & Transparency

Quality

Model uncertainties

Models are by definition affected by uncertainties (in input data, input parameters, scenario definitions, etc.). Have the model uncertainties been quantified? Are uncertainties accounted for in your simulations?

no
The LAFO model has many layers of input parameters that could lead to uncertainty of the overall result: trade data, yield values, technical coefficients. Although no formal uncertainty analysis has been carried out yet, this is acknowledged in the conclusions of the study (De Laurentiis et al., 2024)

    Sensitivity analysis

    Sensitivity analysis helps identifying the uncertain inputs mostly responsible for the uncertainty in the model responses. Has the model undergone sensitivity analysis?

    no
    The LAFO model can deal with sensitivity analysis for many parameters, including trade data, yield values, and technical coefficients. No formal sensitivity analysis has been performed to date although an exploratory activity has started aimed at identifying the main sources of uncertainty.

      Have model results been published in peer-reviewed articles?

      no
      Ongoing activities to publish the results of the model in peer-reviewed articles are taking place.

        Has the model formally undergone scientific review by a panel of international experts?

        Please note that this does not refer to the cases when model results were validated by stakeholders.

        yes
        After the publication of the first version of the model (De Laurentiis et al., 2022), three lead experts in the field where asked to perform a peer review of its methodology and results. This led to the identification of key methodological refinements that were then put in place and resulted in the publication of an updated version of the model (De Laurentiis et al., 2024). The latest technical report presents the outcome of the peer review and the resulting identified methodological refinements.

          Model validation

          Has model validation been done? Have model predictions been confronted with observed data (ex-post)?

          yes
          Three approaches have been used to validate the model results. The first was by comparing the overall estimates with published results of similar models, and is presented in the results section of the report (De Laurentiis et al., 2024). The second was by comparing the land footprint caused by EU consumption in each extra EU country with national data reported in FAO land use statistics, to ensure the first value is lower than the second. The third, was to carry out an internal comparison with the results obtained by a similar model developed by another JRC team for selected commodities.

            Transparency

            To what extent do input data come from publicly available sources?

            This may include sources accessible upon subscription and/or payment

            Based on both publicly available and restricted-access sources

            Is the full model database as such available to external users?

            Whether or not it implies a specific procedure or a fee

            yes
            All sources of data used by the model are listed in Annex 2 of the technical report (De Laurentiis et al., 2024).

              Have model results been presented in publicly available reports?

              Note this excludes IA reports.

              yes

              For details please refer to the 'peer review for model validation' documents in the bibliographic references

              Have output datasets been made publicly available?

              Note this could also imply a specific procedure or a fee.

              Is there any user friendly interface presenting model results that is accessible to the public?

              For instance: Dashboard, interactive interfaces...

              Has the model been documented in a publicly available dedicated report or a manual?

              Note this excludes IA reports.

              yes

              Is there a dedicated public website where information about the model is provided?

              Is the model code open-source?

              no

              Can the code be accessed upon request?

              yes

              The model’s policy relevance and intended role in the policy cycle

              The model is designed to contribute to the following policy areas

              • Agriculture and rural development
              • Climate action
              • Consumers
              • Environment
              • Trade

              The model is designed to contribute to the following phases of the policy cycle

              • Anticipation – such as foresight and horizon scanning
              • Evaluation – such as ex-post evaluation
              • Formulation – such as ex-ante Impact Assessments
              • Implementation – this also includes monitoring

              The model’s potential

              The Land Footprint model contributes to a better understanding of the link between production and consumption systems and can support policy making in a number of ways.

              • Identifying hotspots, in terms of products responsible for a large share of the EU land footprint or countries from which the EU is virtually importing more land.
              • Monitoring: yearly updates of the estimates can allow tracking the evolution of the pressure the EU is exerting on third countries, and the pressure posed by domestic production and exports of biobased products on the domestic use of land
              • Setting a baseline against which policy options and green transitions scenarios can be tested, such as increased circularity and efficiency of supply chains, reduced food waste, and dietary shifts.
              • Identifying transboundary and spillovers effects, providing detailed insights on the virtual land embodied in imported goods.

              Therefore, the Land Footprint model can support both monitoring and ex-post evaluation of existing policies, as well as performing scenario analysis that could be used in ex-ante impact assessment of policies.

              The land footprint estimates are currently being used by Eurostat to fulfill their mandate, e.g. Regulation (EC) 223/2009 on European statistics. Eurostat uses the land footprint estimates to enrich its portfolio of statistics and accounts about the environment and the drivers, pressures, and impacts of our societies on it. In particular, Eurostat uses the land footprint estimates for its regular monitoring of EU's progress towards the Sustainable Development Goals (European Commission: Eurostat, Sustainable development in the European Union – Monitoring report on progress towards the SDGs in an EU context – 2023 edition).

              Previous use of the model in ex-ante impact assessments of the European Commission

              Use of the model in ex-ante impact assessments since July 2017.

              Bibliographic references

              Studies that uses the model or its results

              No references in this category

              Peer review for model validation

              No references in this category

              Model documentation

              Modelling the land footprint of EU consumption : methodology and results of the LAFO model version 2.0. 

              Published in 2024
              European Commission: Joint Research Centre, De Laurentiis, V., Orza, V. and Sala, S., Modelling the land footprint of EU consumption – Methodology and results of the LAFO model version 2.0, Publications Office of the European Union, 2024, https://data.europa.eu/doi/10.2760/967058

              Other related documents

              Sustainable development in the European Union : monitoring report on progress towards the SDGs in an EU context : 2023 edition. 

              Published in 2022
              European Commission: Eurostat, Sustainable development in the European Union – Monitoring report on progress towards the SDGs in an EU context – 2023 edition, Publications Office of the European Union, 2022, https://data.europa.eu/doi/10.2785/403194