The Durability (The amount of time carbon removed from the atmosphere by an intervention – for example, a CDR project – is expected to reside in a given Reservoir, taking into account both physical risks and socioeconomic constructs (such as contracts) to protect the Reservoir in question.) of a Carbon Dioxide Removal (CDR) (Activities that remove carbon dioxide (CO₂) from the atmosphere and store it in products or geological, terrestrial, and oceanic Reservoirs. CDR includes the enhancement of biological or geochemical sinks and direct air capture (DAC) and storage, but excludes natural CO₂ uptake not directly caused by human intervention.) process refers to the length of time for which CO₂ is removed from the Earth’s atmosphere and cannot contribute to further climate change. This Module (Independent components of Isometric Certified Protocols which are transferable between and applicable to different Protocols.) details the durability, reversal risks and requirements for storage of carbon as biochar in soil in agricultural soils. This Module is intended for use in conjunction with other Isometric Protocols (A document that describes how to quantitatively assess the net amount of CO₂ removed by a process. To Isometric, a Protocol is specific to a Project Proponent's process and comprised of Modules representing the Carbon Fluxes involved in the CDR process. A Protocol measures the full carbon impact of a process against the Baseline of it not occurring.) and Modules, and assumes the following:
The information and requirements outlined within this Module are based on the best available science at the time of writing. This Module will be reviewed at a minimum every 2 years and/or when there is an update to scientific published literature which would affect net CO₂e removal quantification or the monitoring guidelines outlined in this Module, and/or in line with changes in scientific consensus regarding the durability of biochar in agricultural soils.
This storage module applies to Projects (An activity or process or group of activities or processes that alter the condition of a Baseline and leads to Removals or Reductions.) or processes which apply biochar to agricultural land to capture CO2. Biochar can be applied as pellets or fine-grained biochars. According to the definition by the United Nations Food and Agriculture Organization, agricultural land is defined in this Module as permanent and arable crop land, meadows and pastureland1.
Projects applying biochar in similar storage environments to agricultural land may be applicable under this Protocol if they receive prior agreement from Isometric. Similar environments may include for example rangelands, urban landscapes or other land on which crops are grown. These Projects must be able to justify fully in the PDD:
Projects that are explicitly not eligible include, but are not limited to, the following:
Soils have the potential to act as a significant carbon Sink (Any process, activity, or mechanism that removes a greenhouse gas, a precursor to a greenhouse gas, or an aerosol from the atmosphere.), as evidenced by the magnitude of soil organic carbon stocks - which exceed that of plant matter and atmospheric carbon combined2. Utilizing this potential will be important for meeting ambitious climate goals, such as those put forth by the IPCC3. Soil organic carbon stocks can be increased by incorporating plant biomass into soil, a common agricultural practice4. This can be achieved by incorporating agricultural residues into topsoil, however, the labile nature of this source of organic matter results in CO2 being released back into the atmosphere on timescales that are too short for meaningful climate change mitigation5. As an alternative, charred or pyrolyzed carbon has the potential to contribute similar soil health benefits, with a higher stable carbon fraction in soil over long timescales. 6, 7.
Scientific consensus on stability of biochar in storage environments is growing 8, but there are still some key areas where further research is needed. While biochar is more stable than non pyrolyzed carbon, the mean residence time (MRT) of biochar will depend on its physical and chemical characteristics prior to application, as well environmental conditions at the storage location9. Biochar can mechanically degrade over short timescales following application to soils. This degradation can cause significant changes in biochar physical properties. Degradation primarily affects biochar particle size, and to a lesser extent specific surface area and porosity910, 1011. However, these factors are not necessarily indications of biochar decay, and the carbon content of the biochar can remain intact and stably stored despite these variabilities.11, 12,13.
The MRT of biochar is highly variable, with available literature reporting values ranging over several orders of magnitude13, 14, 15,16,17. As outlined in Section 3, only biochars which have been characterized with [math: H/C_{Organic}] values <0.5 are considered, which provides high confidence that the biochar is stable on crediting time horizons of at least 200 years. Biochar that is durably stored is defined under this Module as biochar which is stable in soils after at least 200 years have elapsed.
This Module describes how the requirements in Section 3 should be used to quantify the number of credits that are issued for a Project applying biochar to soil. It also includes details of the environmental conditions that must be met and documented in the Project Design Document (PDD) (The document that clearly outlines how a Project will generate rigorously quantifiable Additional high-quality Removals or Reductions.) to ensure that biochar-C is stably sequestered in surface land applications for at least 200 years.
Due to the rapid mechanical degradation of biochar in agricultural soils, efforts to directly measure and observe decay of biochar in soils, for example through changes in Soil Organic Carbon (SOC) stocks, are currently very challenging. Spectroscopic techniques such as near- and mid-infrared spectroscopy (NIRS/MIRS), coupled with comprehensive reference databases, show potential for distinguishing biochar-C from other SOC fractions1618. However, these databases are currently limited in scope, require further verification, have a high cost, and are not well-suited for routine analysis. Therefore, quantification of the durability of biochar according to the current best available science must focus on the use of rigorous characterization of the biochar resulting from pyrolysis to calculate the fraction of biochar that is stable beyond the desired crediting time horizon. This should be coupled with conservative (Purposefully erring on the side of caution under conditions of Uncertainty by choosing input parameter values that will result in a lower net CO₂ Removal or GHG Reduction than if using the median input values. This is done to increase the likelihood that a given Removal or Reduction calculation is an underestimation rather than an overestimation.) treatment of the Uncertainty (A lack of knowledge of the exact amount of CO₂ removed by a particular process, Uncertainty may be quantified using probability distributions, confidence intervals, or variance estimates.) associated with that calculation (see Section 6.5 of the Biochar Production and Storage Protocol).
This Module addresses storage site conditions and quantification of [math: CO_2e_{stored}] for biochar storage in soils. For more information on pyrolysis conditions and biochar characterization, please refer to Sections 9 and 10 of the Biochar Production and Storage Protocol.
It is recommended that guidance from the Internal Biochar Initiative (IBI) [^63] is followed on best practice for biochar spreading.
Maintaining agricultural productivity is critical to the environmental and social sustainability of CDR projects. The Project Proponent (The organization that develops and/or has overall legal ownership or control of a Removal or Reduction Project.) must document how the project will monitor agricultural productivity and soil quality, including which productivity and soil characteristics will be tested and the frequency of testing. If justified, the Project Proponent may use proxy (A measurement which correlates with but is not a direct measurement of the variable of interest.) variables in lieu of direct testing or measurements. If productivity or soil quality are demonstrated or anticipated to be adversely affected, the Project Proponent must complete the following:
Crop yields can be reported on an annual basis. Crop yield for the project area can be evidenced using historical data from farms directly, farming cooperatives and or public databases. In the case that a sustained (> 3 years) net crop decrease is reported then Isometric may request additional soil analysis to be conducted consistent with requirements in Section 4.1.2.1.
As outlined in the Biochar Production and Storage Protocol, there are some potential risks to environmental and human health associated with biochar composition, for example:
Project Proponents shouldmust outline in the PDD what legal and regulatory requirements their Project adheres to in terms of environmental risks. In the absence of regulation on the following parameters, Projects shouldmust adhere to safe limits associated with the following upper bounds set for the following by the World Biochar Certificate (WBC)175 for storage of biochar in agricultural soils:
BestMethods practiceof measurement for how to carry out measurements of these parameters is provided by the World Biochar Certificate17, and should be followed by Project Proponents and outlined in full in the PDD adhering to the sampling guidance and monitoring frequency requirements set out in this Storage Module. Heavy metals, PBCs and PCDD/F measurements should adhere to the same sampling guidance and monitoring frequency included in Table 2 for PAHs set by the WBC.
Biochar properties like the pH, porosity19, cation exchange capacity (CEC) or nutrient retention properties (related to surface charge characteristics) could impact agricultural soils and resulting crop yields. In addition to carbon sequestration potential, the application of biochar to agricultural soils might have several co-benefits, including, but not limited to, the following:
Project Proponents may choose to report in the PDD any co-benefits from the list above related to soil health and quality that are a result of their Project activity. In particular, the crop rotation, reported crop yields28,29, soil quality (e.g. pH, nutrient and moisture contents) and fertilizer use30 may be reported in the PDD to demonstrate evidence of co-benefits.
This Section provides the requirements for the characterization of biochar for durable storage. Durability refers to the length of time for which CO2 is removed from the Earth's atmosphere. The durability of biochar will depend on its physical and chemical characteristics as well as the storage site conditions1831, 1932, 2033. This Section will provide requirements and guidance for characterizing the physical and chemical properties of biochar to determine if the material is eligible for crediting under this Protocol.
Biochar physical and chemical characteristics will be informed by the biomass feedstock type and pyrolysis conditions. This section will not set requirements or guidelines for biomass feedstock eligibility or pyrolysis conditions. Please refer to the Biomass Feedstock Accounting Module and Section 9 of this Protocol for guidance and discussion on these two topics.
Some of the required measurements in this Section are associated with minimum or maximum thresholds for eligibility for crediting by Isometric. Other measurements may be required but have no associated eligibility threshold. Some measurements may not be required but this Protocol strongly recommends that the Project Proponent measure and report these values to facilitate scientific advances in biochar durability in soil. Analytical methods provided are examples of eligible methodologies but are not meant to indicate the only acceptable methodologies. The methodology or analytical technique used for each measurement must be stated in the PDD.
Biochar must be characterized prior to application to ensure environmental safety and suitability for CO2 removal.
The analyses described in this section regarding the physical composition of biochar are recommended for the purposes of information gathering given the nascency of biochar durability quantification. Physical properties of biochar may affect the evolution of biochar in soil2134, however there is not yet any evidence that the physical properties of biochar would materially affect its durability on the time horizon considered for crediting. GivenWhile a significant body of research exists on biochar application to soil, some uncertainty regarding the uncertaintylong-term surrounding biochar durability time horizons, coupled with the relation between physical characteristicsimpact of biochar andon soil health, agricultural productivity, and albedo 2235, 2336 still exists. As such, the following analyses of biochar’s physical characteristics are recommended; however, no specific eligibility thresholds will be recommended, with no associated eligibility thresholdsapplied.
Table 1: Recommended Measurements of Biochar physical properties
| Property | Threshold | Analytical Method | Description | Monitoring Frequency | Recommended or required? |
|---|---|---|---|---|---|
| Specific surface area | – | BET ISO 9277:2022 | Surface area of applied material may influence a number of biochar stability and soil health characteristics, including: SOC stocks, adsorption rates, water retention and porosity | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Recommended |
| Porosity | – | Mercury porosimetry and gas adsorption ISO 15901-2:2022 | Porosity is an indicator of water adsorption potential | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Recommended |
| Specific external surface area | – | Sieving ISO 17892-4:2016 | Specific external surface area can be estimated from the particle size distribution, which is the parameter measured by sieving. Generally, larger biochar particles will break down slower. | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Recommended |
The following analyses regarding the chemical composition of biochar will be used to assess the reactivity and durabilitypotential of biochar-C in different storage environments. Some of these measurements will be used in the quantification of CO2estored , as outlined in Section 8.34 and the relevant storage Module. The required and recommended measurements listed below investigate multiple mechanisms of reactivity (or prevention of), including aromaticity and aromatic condensation, functional groups, and volatility. The redundancy of characterizing reactivity potential via different mechanisms serves to reduce the uncertainty surrounding the durability of biochar, and provides multiple indicators of confidence that durability will exceed the crediting time horizon.
Table 2: Recommended and Required Measurements of Biochar chemical properties
| Property | Threshold | Analytical Method | Description | Monitoring Frequency | Recommended or required? |
|---|---|---|---|---|---|
| Carbon Content | – | Standard Test Methods for Determination of Carbon, Hydrogen and Nitrogen in Analysis Samples of Coal and Carbon in Analysis Samples of Coal and Coke ASTM D5373 or Standard Test Method for Determination of Carbon, Hydrogen and Nitrogen in Analysis of Solid Biofuels EN ISO 16948:2015 | The carbon content of applied biochar is necessary for the quantification of CO2estored, in accordance with Section 8.3 of the Biochar Production and Storage Protocol. See Section 8.3.1 of the Biochar Production and Storage Protocol for carbon content sampling guidance. | Measure every production batch as per method A or B applicable. Minimum number of 3 samples per production batch. | Required |
| Moisture Content | – | Standard Test Methods for Determination of Moisture Content in Analysis Samples of Wood Charcoal ASTM D1762-84 or Standard Test Method for Determination of Moisture Content in Analysis of | The moisture content of applied biochar is necessary for the quantification of CO2estored, in accordance with Section 8.3 of the Biochar Production and Storage Protocol. See Section 8.3.1.1 of the Biochar Production and Storage Protocol. Carbon content can be reported in dry basis to account for differences in total biochar mass. | Measure every production batch as per method A or B applicable. Minimum number of 3 samples per production batch. | Required |
H/Corganic | Corg is calculated by subtracting the inorganic carbon from the total carbon content. H/Corganic is calculated by dividing H content by Corg.
Corg and H content may be calculated with ASTM D5373 or ISO 16948. Inorganic carbon may be measured after biochar is ashed at 550oC with | Low H/Corganic ratios indicate the presence of significant amounts of aromatic compounds within the biochar. Aromatic compounds are highly stable, which is conducive to long-term stability of sequestered biochar in soil. | Measure every production batch as per method A or B applicable. Minimum number of 3 samples per production batch. | Required | |
O/Corganic | < 0.22 | Corganic is calculated by subtracting the inorganic carbon from the total carbon content. O/Corganic is calculated by dividing O content by Corg.
Corg content may be measured with ASTM D5373. Inorganic carbon may be measured after biochar is ashed at 550oC with | The O/Corganic | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Required |
| Random Reflectance (R0) | White-light microscopy, eg ISO 7404-5:2009 | Random reflectance is an indicator of aromaticity, aromatic ring unit size and condensation. A R0 value greater than 2% has been proposed as a benchmark for quantifying the permanent pool of carbon in a biochar | Measure every production batch as per method A or B applicable. Minimum number of 3 samples per production batch. | Required only for 1,000 year durability crediting | |
Cation Exchange Capacity (CEC) | – | CEC is measured by cation extraction and subsequent measurement using ICP-MS (ISO 17294-1:2004) /OES (ISO 11885:2007) or AAS (standard). Appropriate extraction methods include ISO 11260:2018, ISO 23470:2018, or the Chapman method. | High CEC values are correlated with the presence of oxygen containing functional groups4. An increase in oxygen containing functional groups may increase the reactivity of the biochar. CEC is also an indicator of biochar’s ability to retain and exchange nutrients | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Recommended |
Volatile matter content (VMC) | - | Standard Test Methods for Determination of Moisture,Volatile matter and Ash in Analysis Samples of Wood Charcoal ASTM D1762-84 or Standard Test Method for the Determination of volatile matter in solid biofuels ISO 18123:2023 |
| Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of | Required N.B. If measuring Fixed Carbon content, Volatile matter content does not need to be measured because both these fractions sum to 100% of the biochar material when reported on a dry ash free basis. |
| Fixed Carbon content | - |
| The fixed carbon content is the mass fraction of the biochar that will only volatilize if combusted | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Required N.B. If measuring Fixed Carbon content, Volatile matter content does not need to be measured because both these fractions sum to 100% of the biochar material. |
| Polycyclic Aromatic Hydrocarbons (PAHs), sum of USEPA 16 | - | Gas Chromatography coupled with Mass Spectrometry (GC-MS)and/or High Performance Liquid Chromatography analysis eg ISO 13859:2014 or BS EN 17503:2022 | Polycyclic aromatic hydrocarbons are organic molecules with fused aromatic rings that can be formed during the pyrolysis process and retained in the biochar. They are chemically stable with a high sorption capacity, known carcinogens and are persistent pollutants that can travel in the environment chain. | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. |
|
| Ash Content | None |
| Ash is the inorganic portion of biochar that will not volatilize even if combusted | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Required |
| pH | - | Slurry pH probe. Refer to ISO 10390:2021 | Biochar pH | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Recommended |
| Bulk Carbon Bonding State | Aromaticity: >95% Aromatic condensation: >1 | NMR spectroscopy | High aromaticity and aromatic condensation are shown to increase MRT by an order of magnitude | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Recommended |
| External surface carbon bonding state composition | - | X-ray photoelectron spectroscopy (XPS) | Biochar degrades from the outside in. If the exterior of the biochar particles has a different chemical than the center, that affects degradation rate. Comparing external to internal composition without depth profiling can be done by comparing XPS of in-tact particles to Raman/NMR of pulverised samples OR XPS of pulverised and unpulverised samples. In either case, the sample preparation should be specified in the PDD. Pulverising samples ensures the average chemical composition throughout the particle is measured, whereas the surface composition of in-tact particles can be characterised by XPS. | Measure at project validation unless feedstock, reactor or process parameters change. Minimum number of 1 sample. | Recommended |
A note on PAH requirement
It is required to measure PAH as outlined in Table 2 and Section 2.2, unless it can be demonstrated that stringent risk mitigation has been carried out. This would include pre-agreeing the risk mitigation with Isometric and detailing this in the PDD.
Risk mitigation may include the following:
For the required measurements hydrogen-to-carbonin ratioTable ([math: H/C_{organic}]), oxygen-to-carbon ratio ([math: O/C_{organic}]), and random reflectance ([math: R_0])2, samples should be taken using the same sampling regimes outlined in Section 8.3.1 of the Biochar Production and Storage Protocol for measuring carbon content.
A batch associated with any one project may have a unique history or set of characteristics that could require individual consideration for recommended measurements. A broad range of feedstockFeedstock characteristics and pyrolysis conditions maywill influence biochar homogeneity. These include, but are not limited to; the biomass feedstock type and soparticle size distribution, pyrolysis temperature and reactor type. As such, the sampling plan in placespecified in Section 8.3.1 of the Biochar Production and Storage Protocol takes a conservative approach to sampling with enough frequency to minimizecapture the impacts of any heterogeneity in biocharsbiochar. These considerations include, but are not limited to, biomass feedstock type and particle size distribution, pyrolysis temperature, reactor type, etc. AllThe project proponent must include all relevant details of thetheir sampling plan, including the number and frequency of analyses,sampling and adequateanalysis and clear justification forof their sampling choice, in the choicesPPD madedocument, byensuring compliance with the Project Proponent to adhere to sampling regimesrequirements outlined in Section 8.3.1 must be included inof the PDD.
ForBiochar frequencyProduction ofand measurementStorage of Random Reflectance (R0), please see Section 4.1Protocol, as this depends on whether credits are issued with 200 year or 1,000 year durability.
To ensure representative sampling, Project Proponents should follow theappropriate sampling guidelines outlined in therelevant Europeanstandard Biochar Certificate Guidelines for a Sustainable Production of Biochar, Version 9.3Eprocedures. AComposite compositesamples sample canmust be sub-divided into a finalminimum of three representative replicates per batch (6although higher replication is encouraged) replicates, for laboratory analytical classification per batchanalysis, to allow for reliable estimation of the mean values and Standardstandard Deviation,deviation and detection of potential outliers.
It is a requirement that all Projects demonstrate the degree of homogeneity within a single Storage or Production Batch. All projects are required to include in the PDD a detailed description of how the chosen sampling plan addresses any heterogeneity that might be present within the batch. This may include sampling across horizontal and vertical dimensions of a Production or Storage Batch to account for particle sorting that may occur during processing and transportation, as outlined in Section 8.3.1 of the Biochar Production and Storage Protocol “Minimum number of samples per Batch”. As a result of this, itIt is the responsibility of Project Proponents to undertake these routine batch characterizations of the biochar utilized within a Crediting Project and detail these in full in the PDD. All projects are required to provide a detailed description of how the chosen sampling plan addresses any heterogeneity that might be present within the batch, in the PDD.
The Project Proponent is required to report the analytical laboratory/laboratories that have been utilized for thebiochar biocharanalysis and characterization. It is the responsibility of the Project Proponent to ensure that the chosen analytical facilities are reputable and conduct characterization techniques to the required standards indicated within this Protocol. A qualified laboratory is evidenced by accreditation to ISO 17025 or equivalent standards for laboratory quality management for the specific test method.
It is recommended that Project Proponents should utilize accredited analytical services such as UKAS, MCERTS, DWTS, and ISO whenever feasible. Where a Project Proponent utilizes laboratory facilities within an academic institution, or a non-accredited commercial laboratory, periodic external validation must be undertaken with an accredited facility. The frequency of these external checks will vary by project and analytical procedure, and will be agreed with Isometric on a case-by-case basis.
Laboratories must complete standard quality assurance procedures on a schedule in accordance with their quality management plans and accreditation requirements to include:
Project Proponents are required to report calibration records from analytical facilities to the relevant Validation and Verification Body (VVB) when submitting biochar characterization data. Projects are also required to outline specific analytical checks that have been carried out to maintain data quality, with specific reference to the relevant certified reference materials (CRM) used by the utilized laboratory facility.
Characterization data should be validated through set quality assurance and quality control (QA/QC) criteria within all crediting programs. All projects are required to report their QA/QC processes within the PDD, in accordance with the requirements of this Protocol. As part of QA/QC project proponents are required to clearly describe analytical checks (including duplicatetechnical replicates, blanks and analytical standards checks) and calibration procedures.
Project Proponents are required and are responsible for the delivery of biochar characterization data to a project’s VVB. Although a Project Proponent is expected to carry out characterization data externally at an accredited facility, it is the responsibility of the Project Proponent to deliver data that is accurate and externally verifiable. Submitted data reports are required to include results of all standards to verify data quality. Project Proponents are required to maintain data records for a minimum of 5 years following the date of data collection. It is also recommended that sample archiving should be treated similarly, with a representative, specified weight of sample (e.g. 100 g) archived under specified conditions (e.g. dried) for a minimum of 5 years, in case re-analysis of these, or additional parameters are required.
Project Proponents are required to report data such that the data analysis methods used are easily identified, verified and replicated. This Protocol requires that any data reports include the raw data from which any data analysis/reduction was performed, including standards and replicate measurements. A summary containing information on analytical uncertainty, number of samples taken, standards used and number of standard runs, standard deviation and percentage error on the standards must also be included. This may, for example, take the form of a spreadsheet containing four sheets:
There are two options for calculating the fraction of durable biochar ([math: F_{durable}]) in this Module. Option 1 results in credits issued at 200 year durability, and Option 2 results in credits issued at 1,000 year durability.
In either case, the formula to calculate CO2estored is:
[math: CO_2e_{stored} = C_{biochar} \times m_{biochar} \times F_{durable} \times \frac{44}{12} ]
Equation 1
Where
Measurement of Carbon Content
See Section 8.3.1 of the Biochar Production and Storage Protocol for full guidelines on measurement of biochar carbon content, [math: C_{biochar}].
Measurement of Mass of biochar applied
See Section 8.3.1.1 of the Biochar Production and Storage Protocol for full guidelines on measurement of mass of biochar applied, [math: m_{biochar}].
Calculation of [math: F_{durable}]
Calculation of [math: F_{durable}] is carried out differently in Option 1 (200 year durability) and Option 2 (1,000 year durability). Project Proponents must choose which quantification framework (Option 1, or Option 2, outlined in full below) they wish to use for crediting their Project. Option 1 and Option 2 cannot be used in conjunction with one another, or in combination. The choice of quantification framework and corresponding durability associated must be clearly outlined in the PDD.
Option 1: 200 year durability
The quantification framework for determining the CO2estored for 200-year durability is based on an extrapolation of the data in Woolf et al. (2021)2645. The calculation of [math: F_{durable}] requires two inputs: soil temperature ([math: T_{soil}]) and the [math: H/C_{organic}] ratio. The formula to calculate [math: F_{durable}] is:
[math: F_{durable} =1 -[ c + (a+b \times ln(T_{soil})) \times H/C_{organic}]]
Equation 2
Where
The parameters a, b, and c for the time horizon of 200 years are estimated using data available in the appendix of Woolf et al. (2021). Parameters theoretically could be recalculated for longer or shorter time horizons for crediting according to the following method. The coefficients a, b and c are calculated using 1 standard deviation below the mean which will result in a more conservative estimation of the decay function. The parameters are estimated using a two-stage regression analysis. First, a linear quantile regression of the non-durable portion ([math: 1 - F_{durable}]) on [math: H/C_{Organic}] is conducted for each unique soil temperature in the Woolf et al. (2021) data. Quantile regression allows for the estimation of the [math: 1 - F_{durable}] associated with a durability value that is in the 17th percentile of the durability distribution, conditional on the [math: H/C_{Organic}] and [math: T_{soil}] of the biochar2746. The estimated intercepts from this regression are regressed on a constant to obtain parameter c. The estimated [math: H/C_{Organic}] coefficients from this regression are then regressed against the natural logarithm of soil temperature in a linear regression to obtain parameters a and parameter b, the effect of a change in [math: ln(T_{soil})] on the relationship between [math: 1 - F_{durable}], and [math: H/C_{Organic}], respectively. The following table (Table 1) provides these parameters for 200-year durability.
Table 3: Parameters calculated for Equation 2 for the time horizon of 200 years for crediting, using data available in the appendix of Woolf et al. (2021)2645.
If ProjectThe Proponentsparameters wish(a, tob makeand claimsc) stated in Table 3, are fixed, conservative coefficients, calculated from the decay data presented in the appendix of durability on the time horizon of 200 years using Option 1, then the Random Reflectance (R0) value reported during project verification for each batch should provide confidence that [math: H/C_{Organic}] measurements are reasonable. In practice, this means that the durable fraction of biochar resulting from [math: H/C_{Organic}] measurements and R0 measurements are well correlated - examples can be found in SaneiWoolf et al., (20242021). The number and frequency of R
| Parameter | Value |
|---|---|
| a | -0 |
| b | 0 |
| c | -0.048 |
Sampling guidelines for measurement of average annual soil temperature [math: (T_{soil})]:
Option 2: 1,000 year durability
Project Proponents seeking to make claims of durability on the time horizon of 1,000 years should report a set of at least 500 measurements of R0, calculated at the maceral-level, for each sample of their biochar (as outlined in Section 3 of this Module). Batches that adopt this measurement approach can be credited for the fraction of their biochar which passes the 2% R0 benchmark, for which there is evidence of higher durability, as outlined in Sanei et al. (2024) at this higher durability. The histogram of the R0 values should submitted at the point of project verification for this crediting option. While biochar passing the benchmark of R0 = 2% could be considered permanent910, peer-reviewed research further supporting the work of Sanei et al. (2024)3242, 17, 8 ishas neededbeen published to validate the experimental work undertaken in that study to provideproviding higher confidence in these claims. We take a conservative approach here to how biochar durability is credited. The fraction of biochar credited should be 1 standard deviation below the mean. Therefore, [math: F_{durable}] must be calculated as:
[math: F_{durable} = S- \sqrt{\frac{S*(1-S)}{N}}]
Equation 3
Where
Quantification of biochar storage for crediting in agricultural soils will be updated in future versions of this Module in line with the best available science as more research in peer-reviewed literature is published.
Field management practices affect CO2 removal both directly and indirectly3351, 3452, 53, 35, 22. For example, irrigation could significantly impact both moisture and pH, and soil moisture has been shown to have an impact on biochar degradation rate1314. Furthermore, soil tillingtillage can drivelead to increased carbon flux in the upper soil columntopsoil2336, which can affect soil organic carbon stocks3654. Thus,The Projectsinformation for each field should providebe informationsubmitted on field management prior to feedstock deployment inwith the PDDGHG statement. Field management information includes:
This section outlines the monitoring approach that Project Proponents should take in Crediting Projects. Projects should ensure that biochar application does not meaningfully change field management practices in a manner that results in additional CO2 e emissions.
Where applicable, analytical methods should be cross-referenced with an appropriate standard (e.g., ISO, EN, BSI, ASTM, EPA) or standard operating procedure (SOP). Where a project utilizes a non-standardized methodology or SOP for the determination of a listed parameter, the Project Proponent should outline the relevant method within the PDD.
EstablishingA baseline of soil condition (i.e., before biochar application) soil conditions is recommended to both (i) verify CO2 sequestration through project activities (An activity or process or group of activities or processes that alter the condition of a Baseline and leads to Removals or Reductions.), and (ii) facilitate monitoring of potential environmental impacts. Project Proponents are therefore recommended to collect baseline soil samples prior to spreading biochar. Baseline samples are targetedcollected to quantify heterogeneity in the soil characteristics most relevant to biochar CDR, including pH, soil texture, soil moisture and soil organic carbon (SOC). It is recommended that the time of year of sampling is kept consistent if repeated sampling is going to take place year to year because SOC stocks can vary with season. The overall sampling procedure to account for spatial heterogeneity must be reported and justified in the PDD.
To minimize sampling bias, Project Proponents should collect soil samples to the maximum tillage depth or 30cm, whichever is deeper. While random sampling routines are generally preferred, the Project Proponent may use alternative sampling routines, provided these are documented and justified in the PDD. Where baseline measurements are taken, samples should be analyzed for the properties outlined in Table 3 below.
Table 4: Parameters for measurement to be used during Project baseline establishment.
| Property | Analytical Method(s) |
|---|---|
| Soil pH | pH measurement in soil slurry Eg. ISO 10390:2021 |
| Soil moisture content | Determination of water content in soils Eg. ISO 17892-1:2014 |
| Bulk density/particle size | |
| Soil type and texture | Oven drying coupled with gravimetric sieving, Laser diffraction or x-ray scattering Eg. ISO 11277:2020 |
| Nutrient availability | Characterizing nutrient availability should involve testing electrical conductivity (EC) and calculating the total dissolved solids (TDS) content of soil leachates with a commercial water quality test meter. |
| Soil Organic Carbon (SOC) | Dry combustion, Walkley-Black method Eg. ISO 10694:1995 |
Table 4: Parameters for measurement to be used during Project baseline establishment.
The following aspects of biochar application must be included in the PDD (in addition to all others listed in this Module), in order to verify that biochar spreading on agricultural soils has occurred.
Project boundaries:
Project Proponents must report the boundaries of the project area,. includingThis could be reported using project area maps with clearly demarcated boundaries and, the GPS coordinates for those boundaries, or the GPS coordinates for the sites at which biochar is applied. Alternatively, Project Proponents may choose to use geo-tagged and dated photo files and/or video files to provide evidence of biochar being spread.
Soil temperature variation
Limits on project boundaries must be drawn up to the point where variations in soil temperature do not materially impact the durability of the stored carbon for Project Proponents looking to credit under the quantification framework outlined in Option 1 (see Section 4).
Application rate:
Application rate may be optimized for other soil health co-benefits, such as moisture retention, increased nutrient management/regulation and soil organic carbon stocks, but there is no evidence that biochar application rate acts ashas a leversignificant effect on biochar-C stability. The application rate paired with the project boundaries willmust be used to confirm total mass of biochar applied.
As outlined in Section 2.5.9 of the Isometric Standard, the Buffer Pool (A common and recognized insurance mechanism among Registries allowing Credits to be set aside (in this case by Isometric) to compensate for Reversals which may occur in the future.) is a mechanism used to insure against Reversal risks that may be observable and attributable to a particular project through monitoring. Based on present understanding, reversals in Biochar storage will not be directly observable with measurements and attributable to a particular project. Projects crediting against this protocol are credited conservatively to account for degradation of labile pools of biochar within the relevant crediting time horizon. Projects applicableadhering to the requirements of this ProtocolModule are categorized as having a Very Low Risk Level of Reversal according to the Isometric Standard Risk Assessment Questionnaire. The Buffer Pool corresponding to this lowest risk score is 2% and is intended as an additional precaution against unknowns.
Following the Section 2.5.9 of the Isometric Standard, storage uncertainty for open systems is primarily accounted within the removal quantification framework. For more details on Reversals, refer to Section 2.5.9 and 5.6 of the Isometric Standard.
The following factors could contribute to a decrease in the expected durability of biochar storage in agricultural soils.
Beyond biomass feedstock type and physical and chemical characteristics of biochar, biochar durability is affected by environmental and anthropogenic factors. The following conditions may acceleratecontribute to a decrease in the degradationexpected durability of biochar storage in soilagricultural over timesoils. Project Proponents are advised to consider sites with minimal interference from the following factors.
Environmental factors
Anthropogenic factors
All of the following activities taking place on agricultural land may impact the environmental factors above, and therefore impact biochar degradation.
Project Proponents should outline in the PDD a full description of site conditions, including justification of how site suitability was chosen bearing in mind the factors listed above.
Isometric would like to thank following contributors to this Module:
Isometric would like to thank following contributors to this Module:
This document is a companion to the Isometric Biochar Storage in Agricultural Soils Module V1.0, providing supporting information regarding the rationale and factors considered when determining the requirements of the Module, specifically relating to the 200 year and 1,000 year durability crediting frameworks. This document should be read in conjunction with the Module and is provided as guidance. Should there be any discrepancy or inconsistency between this companion document and the Module itself, the requirements of the Module will prevail.
There are two options for calculating the fraction of durable biochar ([math: F_{durable}]) in the Isometric Biochar Storage in Agricultural Soils Module, which is then used to calculate the number of credits issued by Isometric. These are outlined in Section 4.1 of the Module.
The options for calculation of [math: F_{durable}] are as follows:
Option 1 estimates the amount of biochar that will remain stable beyond 200 years using regressions to estimate the decay rate, assuming all biochar will eventually degrade. This approach can potentially underestimate the fraction of biochar which remains durably stored over long timeframes.
Option 2 relies on new work published this year3242, which pioneered the use of R0 to measure the quantity of inertinite contained in the biochar. Inertinite is the stable fraction of biochar and has been shown to have a durability of >1,000 years, which indicates that there will be a certain portion of biochar (present as inertinite) that will not degrade within that time frame. Additional research on the use of random reflectance measurement is due to be published later this year. This will be reviewed and any necessary updates will be included in a future version of this Module.
The Module offers these two approaches to reflect the latest scientific advances and provide flexibility for suppliers to either credit at 1,000 year durability or continue crediting existing projects at a lower durability of 200 years.
If you are interested in diving into the detail of how these frameworks compare to one another quantitatively at 200 and 1,000 year durability, please refer to Table A1 and Table A2. These tables use example data from published literature to illustrate how the two options estimate the fraction of durable biochar ([math: F_{durable}]) for crediting. Please note: crediting using R0 is not allowed under the module for 200 year durability, and crediting using [math: H/C_{Organic}] is not allowed under the Module for 1,000 year durability - these values are included in the tables for reference only.
There are three key takeaways from this data shown in Table A1 and Table A2:
(1) Crediting using [math: H/C_{Organic}] at 1,000 year durability would underestimate durable fraction compared to using R0. This is because the R0 measurement directly characterizes the biochar material, and can quantify the portion of inertinite (stable fraction), whereas the [math: H/C_{Organic}] is a modeled approach which assumes a considerable volume of the biochar will eventually decay, therefore leaning towards underestimating the fraction of durable biochar.
(2) Using the Random Reflectance (R0) for crediting at 200 years could lead to underestimation of credits, as there will be a percentage of labile carbon that might not degrade within the 200 year framework, and accounting only for the inertinite fraction discounts the percentage of semi-inertinite that can persist. The example data shows that the R0 estimates are the same for 200 and 1,000 year durability.
For crediting at 200 year durability the Module relies on the [math: H/C_{Organic}] quantification and requires a limited number of R0 measurements for calibration. Whereas for 1,000 year durability the Module relies on a statistically significant number of R0 measurements. For 200 year durability crediting, this is required because in theory, some samples could have a low [math: H/C_{Organic}] ratio but only a small portion of inertinite. Mathematical relationships between [math: H/C_{Organic}] and R0 have not been published as of the time of writing, and so checking the agreement between these two metrics is important to avoid overcrediting or undercrediting until such time as that research is published. This Module will be updated and sampling requirements adjusted as appropriate once additional research in this area is available.
(3) We have included the mean R0 value for reference in row 3 of the tables. This is to demonstrate the difference in estimations of [math: F_{durable}] when using the mean % R0 value compared to the inertinite which is below the 2% inertinite benchmark. This method is not included in this Module because the mean % R0 value does not accurately represent the inertinite distribution within the biochar sample. This could lead to either underestimating or overestimating the durability, as shown in the table. Depending on the biochar composition, underestimating biochar’s durability could be possible where the mean % R0 is used and is below the 2% R0 benchmark. The latter would assume that the entire biochar is not inertinite, leading to a [math: F_{durable}] of 0 (row 4) in comparison to Option 1.
Table A1: 200 year durability. Option 1 from Isometric’s Biochar Storage in Agricultural Soils Module for an average temperature of 14.9oC, was used with biochar data from Sanei et al. (2024)3242, 57 to calculate the [math: F_{durable}] for 200 years. Data for Option 2, in the form of a histogram of Random Reflectance (R0) measurements3242, 57 were also used as comparison for the 200 year timeline. Reference values of feedstock, [math: H/C_{Organic}] and reaction temperature have also been included in Table 1 below. Any changes in the durable fraction when using the two different methods are captured in the final column. The difference has been calculated using the % inertinite from the histogram value (column 6 - row 2) resulting in an [math: F_{durable}] of 0.85 . Any changes in the durable fraction when using the two different methods are captured in the final column (difference has been calculated using the % inertinite from the histogram value - column 6). Two additional samples, from different feedstocks, have been included in rows 4 and 5 to demonstrate the overestimation and underestimation potential.
| Feedstock | Pyrolysis temperature (oC) | [math: H/C_{Organic}] | [math: F_{durable}], [math: H/C_{Organic}] method (Option 1) | Mean % R0 value | R0 histogram value % inertinite | [math: F_{durable}], R0 method (Option 2) | Method difference (%) |
|---|---|---|---|---|---|---|---|
| Bamboo | 500 | 0.04 | 1 | 2.21 | 0.85 | 0.85 | 15 |
| Bamboo | 500 | 0.04 | 1 | 2.21 | 0.85 | 1 | 0 |
| Orchard prunnings | 500 | 0.01 | 1 | N/A | 0.94 | 0.94 | 6 |
| Woodchip | 850 | 0.05 | 1 | 1.88 | N/A | 0 | 100 |
| Fruit pits | 730 | 0.01 | 1 | 4.88 | N/A | 1 | 0 |
Table A2: 1,000 year durability. A modified version of Option 1 was applied, using relevant regression coefficients2645 for the 1000 year timeline and for an average temperature of 14.9oC, calculated with biochar data from Sanei et al. (2024)3242, 57 to estimate [math: F_{durable}] for 1,000 years, shown in Table 2 below. Data for Option 2 in the form of a histogram of Random Reflectance (R0) measurements3242, 57 were also used as comparison for the 1000 year timeline. Any changes in the durable fraction when using the two different methods are captured in the final column (difference has been calculated using the % inertinite from the histogram value - column 6). Two additional samples, from different feedstocks, have been included in rows 4 and 5 to demonstrate the overestimation and underestimation potential.
| Feedstock | Pyrolysis temperature (oC) | [math: H/C_{Organic}] | [math: F_{durable}], [math: H/C_{Organic}] method (Option 1) | Mean % R0 value | R0 histogram value % inertinite | [math: F_{durable}], R0 method (Option 2) | Method difference (%) |
|---|---|---|---|---|---|---|---|
| Bamboo | 500 | 0.04 | 0.29 | 2.21 | 0.85 | 0.85 | 51 |
| Bamboo | 500 | 0.04 | 0.29 | 2.21 | 0.85 | 1 | 71 |
| Orchard Prunnings | 500 | 0.01 | 0.30 | N/A | 0.94 | 0.94 | 62 |
| Woodchip | 850 | 0.05 | 0.28 | 1.88 | N/A | 0 | 28 |
| Fruit pits | 730 | 0.01 | 0.30 | 4.88 | N/A | 1 | 70 |
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