Direct Land Use Change

Methods 5.0

on-farm
non-mechanical
Emissions associated with the change from an IPCC land cover category to annual or perennial (alfalfa) cropland for a given field boundary.
Published

September 22, 2025

Introduction

Emissions associated with Direct Land Use Change is an addition to FP v5, using a method based on IPCC (2019) and ECEuropean Commission (2010). This method is a tailored implementation to represent Field to Market crops and feedback from stakeholders.

Land use change will be estimated when the Cropland Data Layer (Boryan et al. 2011) detects one of the following categories for a given field boundary, starting in the year 2008:

  • Forest
  • Deciduous Forest
  • Evergreen Forest
  • Mixed Forest
  • Shrubland
  • Grassland

Land use change emissions are the emissions associated with the change from one of the IPCC land cover categories shown above to annual or perennial (alfalfa) cropland for a given field boundary. The emissions account for the carbon lost from the biomass and the soil.

Methods

To develop this methodology, we used the IPCC Generic Methodologies Applicable to Multiple Land Use Categories (IPCC 2019) and the Guidelines for the Calculation of Land Carbon Stocks for the Purpose of Annex V to Directive 2009/28/EC (ECEuropean Commission 2010).

To calculate the emissions, we establish a reference land use value and the current land use value. The reference land use must have happened in the past 20 years. To calculate the amount of C stored, we use standard values that can be found in the guidelines mentioned above. A limitation is that the Cropland Data Layer can detect land use for the contiguous United States starting in 2008, representing a coverage of 16 years. At the US national level, approximately 40% of cropland is rented or leased (Bigelow 2014). It is unlikely that a grower farming a rented or leased field in 2024 would know the history of the same field starting in 2004. As a consequence, until 2028, the Cropland Data Layer will have a 1-4-year gap to meet the 20-year look-back period requirement.

Users of the FP sometimes draw field boundaries by hand rather than importing a shapefile field boundary from a farm management system. A boundary might erroneously intersect areas outside the cropland. For this reason, we propose implementing a threshold of detecting at least 10% of the area within the field boundary to be one of the categories above (forest, shrubland, etc.) before informing the user that the land use change method will be part of the field’s footprint and to review the field boundary to fix any errors. There will be a period of iteration and adjustments in the FP v5 to reach a robust methodology to implement this method.

The following equations is used to estimate the soil C stock \(CS^{soil}\) for the ith situation, i.e. reference and current land use:

\[ CS^{soil}_i = \sum_{c,s} (SOC^{ref}_{c,s} \times F^{LU}_{c,s} \times F^{MG}_{c,s} \times F^{I}_{c,s}) \]

  • \(CS^{soil}_i\) = total mineral soil organic C stock at a defined time for the ith situation (tonne C ha-1)
  • \(SOC_{ref}\) = the soil organic C stock for mineral soils in the reference condition (tonne C ha-1)
  • \(F^{LU}\) = stock change factor for mineral soil organic C land-use systems or sub-systems for a particular land-use (dimensionless)
  • \(F^{MG}\) = stock change factor for mineral soil organic C for management regime (dimensionless)
  • \(F^{I}\) = stock change factor for mineral soil organic C for the input of organic amendments (dimensionless)
  • \(c,s\) denotes climate regions and soil types

The biomass C stock \(CS^{veg}_i\) (tonne C ha-1) for the ith situation (reference and current land use) is taken from standard values which consider all the necessary C pools, including above and below-ground biomass, as well as living and dead organic matter. These values are selected using the information from: type of vegetation, ecological or Climate zone, and the species or the age of the plants.

Factors for both soil and biomass C stock can be found in the Guidelines for the calculation of land carbon stocks for the purpose of Annex V to Directive 2009/28/EC (ECEuropean Commission 2010).

Then, the C stock \(CS\) for the ith situation (reference and current state) is the sum of both above mentioned stock:

\[ CS_i = (CS^{soil}_i + CS^{veg}_i) \times A \times 10^{3} \]

  • \(CS_i\) = C stock for the ith situation (reference and reference state) (kg C)
  • \(A\) = land area of the stratum being estimated (ha)

Once soil and vegetation carbon stocks are estimated, the total emissions are computed as follows:

\[ [CO_2]^{total} = (CS_R - CS_A) \times [CO_2]^{mw} \times AEF(t) \times A \]

  • \([CO_2]^{total}\) = the emissions from land use change (kg CO2 ha-1)
  • \(CS_R\) and \(CS_C\) = carbon stock at reference and current situation (kg C ha-1)
  • \(AEF(t)\) = allocated emission fraction for year \(t\) (dimensionless)
  • \([CO_2]^{mw}\) = ratio of molecular weight of CO2 to carbon, 44/12 (kg CO2 [kg C]-1)
  • \(A\) = area of the land parcel (ha)

We propose that the calculated emissions from LUC are allocated differently across the 20 years, with the impacts decreasing gradually across the period described by the following equation:

\[ AEF(t) = 0.1025 - (0.005 *t) \]

Thus, the first year after the LUC accounts for 9.75% of the total emissions, while the 20th year accounts for 0.25%. Each year represents 0.5% less emissions than the previous year. This allocation method attributes more importance to years closer to the LUC event, which follows what really happens in the natural systems.

Emissions per area and per crop production unit

Provided the area and crop yield, the annual total CO2 emissions can be computed per area and per crop production unit as follows:

\[ \begin{align} [CO_2]^{area} &= [CO_2]^{total} \times A^{-1} \\ [CO_2]^{prod} &= [CO_2]^{total} \times (Y \times A)^{-1} \end{align} \]

  • \([CO_2]^{area}\) = the emissions from land use change per area (kg CO2 ha-1)
  • \([CO_2]^{prod}\) = the annual total CO2 emissions per crop production unit (kg CO2 [kg crop production]-1)
  • \(A\) = the area of the land parcel (ha)
  • \(Y\) = crop yield (kg ha-1)
NoteExample

An land use change calculation for illustrative purposes can be found here: Supplementary Material

Constants and factors required for calculation

Ratio of molecular weight of CO2 to carbon
Symbol Name Value Units
CO2_MW ratio of molecular weight of CO2 to carbon 44/12 kg CO2 [kg C]-1

Vegetation carbon stock

Vegetation carbon stock reference values. First 10 records shown.
Type of vegetation Ecological/Climate Zone Species or Age CS_veg
Cropland Not applicable Not applicable 0.0
Cropland (sugar cane) Subtropical Steppe Not applicable 4.8
Cropland (sugar cane) Subtropical Humid Forest Not applicable 4.8
Perennial crop Temperate (all moisture regimes) Not applicable 43.2
Perennial crop Tropical (dry) Not applicable 6.2
Perennial crop Tropical (moist) Not applicable 14.4
Perennial crop Tropical (wet) Not applicable 34.3
Perennial (coconuts) Not applicable Not applicable 75.0
Perennial (Jatropha) Not applicable Not applicable 17.5
Perennial (Jojoba) Not applicable Not applicable 2.4

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Soil SOC by climate regions and soil type

Soil organic carbon reference values by climate regions and soil type. First 10 records shown.
Climate region Soil type SOC
Boreal, moist High activity clay soils 68
Cool temperate, dry High activity clay soils 50
Cool temperate, moist High activity clay soils 95
Warm temperate, dry High activity clay soils 38
Warm temperate, moist High activity clay soils 88
Tropical, dry High activity clay soils 38
Tropical, moist High activity clay soils 65
Cool temperate, dry Low activity clay soils 33
Cool temperate, moist Low activity clay soils 85
Warm temperate, dry Low activity clay soils 24

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Soil classes and soil types

Soil classes and soil types lookup table. First 10 records shown.
Soil_subunit Soil_unit Soil type
Af Acrisol Low activity clay soils
Ag Acrisol Low activity clay soils
Ah Acrisol Low activity clay soils
Ao Acrisol Low activity clay soils
Ap Acrisol Low activity clay soils
NA Albeluvisol High activity clay soils
NA Alisol High activity clay soils
Th Andosol Volcanic soils
Tm Andosol Volcanic soils
To Andosol Volcanic soils

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US Soil Map

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Koppen-Geiger climate classification by county

Koppen-Geiger climate classification by county. Sample of 10 records shown.
State County Code
Alabama Monroe Cfa
Arizona Greenlee Csb
Arkansas Bradley Cfa
California Napa Csb
Colorado Ouray Dfb
Connecticut Middlesex Cfb
Delaware Sussex Cfa
Florida Jefferson Cfa
Georgia Gwinnett Cfa
Idaho Madison Dfb

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Dictionary for matching Koppen-Geiger classification to climate regions

A dictionary for matching Koppen-Geiger classification to climate regions is provided. First 10 records shown.
Code Climate Description Climate region
Af Tropical Rainforest Tropical, moist
Am Tropical Monsoon Tropical, moist
Aw Tropical Savanna (Wet and Dry Climate) Tropical, dry
BWk Cold Desert Climate Cool temperate, dry
BWh Hot Desert Climate Tropical, dry
BSk Cold Semi-Arid Climate Cool temperate, dry
BSh Hot Semi-Arid Climate Tropical, dry
Csa Hot-Summer Mediterranean Climate Warm temperate, dry
Csb Warm-Summer Mediterranean Climate Warm temperate, dry
Csc Temperate, Dry Summer, Cold Summer Warm temperate, dry

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Factors for computing soil carbon stock

Factors for computing soil carbon stock. First 10 records shown.
Climate region Land use Management Input FLU FMG FI
Boreal, moist Cultivated Full-tillage Low 0.69 1.00 0.92
Boreal, moist Cultivated Full-tillage Medium 0.69 1.00 1.00
Boreal, moist Cultivated Full-tillage High with manure 0.69 1.00 1.44
Boreal, moist Cultivated Full-tillage High without manure 0.69 1.00 1.11
Boreal, moist Cultivated Reduced tillage Low 0.69 1.08 0.92
Boreal, moist Cultivated Reduced tillage Medium 0.69 1.08 1.00
Boreal, moist Cultivated Reduced tillage High with manure 0.69 1.08 1.44
Boreal, moist Cultivated Reduced tillage High without manure 0.69 1.08 1.11
Boreal, moist Cultivated No till Low 0.69 1.15 0.92
Boreal, moist Cultivated No till Medium 0.69 1.15 1.00

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References

Bigelow, Daniel. 2014. “USDA Economic Research Service-Farmland Ownership and Tenure.” https://www.ers.usda.gov/topics/farm-economy/land-use-land-value-tenure/farmland-ownership-and-tenure.
Boryan, Claire, Zhengwei Yang, Rick Mueller, and Mike Craig. 2011. “Monitoring US Agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program.” Geocarto International 26 (5): 341358.
ECEuropean Commission. 2010. “2010/335/: Commission Decision of 10 June 2010 on Guidelines for the Calculation of Land Carbon Stocks for the Purpose of Annex v to Directive 2009/28/EC (Notified Under Document c(2010) 3751).” https://eur-lex.europa.eu/eli/dec/2010/335/oj.
IPCC. 2019. “2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories.”