Measuring and Monitoring Carbon in the Agricultural and Forestry Sectors

August 21, 2012, 4:08 pm
Source: Crs

Proposals to reduce emissions of carbon dioxide and other greenhouse gases often include the use of forestry and agricultural practices and lands for carbon sequestration. However, uncertainty about the accuracy of measuring carbon from these activities has led some to question this potential. Basic approaches for measuring forest and agricultural carbon include on-site measurement; indirect measurement from off-site tools; and estimation using models or inferences. Because of challenges associated with balancing the cost and accuracy of these measurement tools, any practicable system for measuring forest and agricultural carbon might require a mix of these approaches.

Concerns about global climate change and its impacts on the environment and the economy are encouraging policy-makers and stakeholders to explore a range of options to reduce emissions of carbon dioxide (CO2) and other greenhouse gases (GHGs).[1] The U.S. Congress is considering legislation that would, among other things, provide incentives for parties to reduce or mitigate GHG emissions or to sequester (store) additional CO2.[2] The possible use of forestry and agricultural practices and lands to mitigate or sequester CO2 is part of the debate. However, substantial uncertainty exists about current ability to accurately quantify, monitor, and verify the amount of carbon sequestered by various agricultural and forestry practices. By comparison, measuring the carbon from a discrete point source, such as a power plant, is relatively easy and precise. Incorporating the agriculture and forestry sectors in an emissions reduction program will likely require a firm basis for measuring carbon inventories and change for forestry and agricultural practices and lands.

See also: Agriculture and Climate Change

Purpose of Measuring Forest and Agricultural Carbon

Farm and forest activities can be both a source and a sink of GHGs, releasing GHGs through plant and animal respiration and decomposition and removing CO2 through photosynthesis, storing it in vegetation and soils (a process known as sequestration). A range of land management, agricultural conservation, and other farmland practices can reduce or abate emissions and/or sequester carbon. These include tree planting, soil conservation, manure and grazing management, and land retirement, conversion, and restoration.[3] Many of these activities, however, may be impracticable for an emission trading program because they might not meet credible standards for quantifying, monitoring, and verifying emission reduction or carbon storage.

Reliable tools and techniques are needed for carbon inventories and carbon change on forests and agricultural lands. The ability to measure carbon levels allows countries that have committed to reducing GHG emissions to measure their current annual emissions and carbon storage (and changes in carbon stocks).[4] Current estimates show that forests account for a significant share of estimated existing carbon stocks globally; agricultural lands account for a small share of stored carbon. Also, the ability to measure carbon levels provides the means to estimate the mitigation potential of forest or agriculture activities that sequester additional carbon in soils or vegetation (i.e., result in a net reduction compared to estimated baseline conditions or current sequestration). This may allow a farm or forestry activity to be recognized as a way to mitigate or offset[5] emissions — through voluntary action, an emissions trading market, or a regulatory program.

For an emissions trading program to be credible, a participating entity is usually required to meet a series of established protocols that specify what, when, where, and how to measure changes in carbon. Protocols provide technical guidelines or standardized rules for quantifying, monitoring, and verifying the mitigation of an activity. They specify requirements on project eligibility, scale and baseline measurements, measurement frequency, and verification. The difficulty is developing credible protocols that are quantitatively defensible and readily applicable across areas with differing land uses, weather, and other site-specific conditions. Protocols also address, to varying degrees, concerns about the validity of activities, such as additionality, leakage, and permanence.[6] Protocols may be either voluntary or set by regulation. In one voluntary market, the Chicago Climate Exchange (CCX) has protocols for a range of soil and land management projects, including agricultural methane, soil carbon, rangeland soil carbon management, and tree planting projects.[7] The Regional Greenhouse Gas Initiative (RGGI) — the first regional mandatory, market-based effort to reduce GHG emissions — is developing technical standards for a narrower set of offset projects from the agricultural and forestry sectors, providing for afforestation and methane reduction from livestock operations.[8] Individual requirements of current protocols and standards can vary widely by program.

Decisions Needed in Setting Measurement Requirements

Numerous methods exist to measure forest and agricultural carbon. The appropriate measure to use in specific circumstances depends on several variables, including the purpose for measuring the carbon, the scale and basis to be measured, the frequency of the measurement, and how the measurement is to be verified.

Scale and Baseline. Two geographic scales are commonly used for measuring GHG emissions — the national/regional level to report GHG emissions and participate in broad efforts to reduce emissions; and the local/site-specific level for projects to offset emissions. Regardless of scale, the emission reduction or carbon sequestration is compared to a baseline — the historic GHG emissions or carbon stocks at a specified point in time. The scale and baseline timing are typically specified in the protocol of the reporting, marketing, or regulating organization. Sometimes, for projects with multiple land uses, the land is stratified into the various land uses (e.g., cropland, pasture, sapling forest, mature forest), with a different baseline established for each use.[9]

Periodicity. Protocols typically identify when GHG emissions must be measured. An initial measurement is needed to establish the baseline. This must be done prior to the onset of a project, to allow for measuring the change that results from the action. Occasionally, a historic baseline is specified; for example, the Kyoto Protocol identified 1990 emissions as the baseline for measuring emission reductions. Other options include a current level, or other level whereby a project is compared to “business as usual.” The protocols also identify the frequency and timing of measurements. For example, CCX contracts for agricultural projects require annual measurements to assure that the emission reduction or carbon sequestration is actually occurring.

Frequency of measurement also depends on the rate of change in carbon storage. Some carbon pools, such as forest soils, change relatively slowly (unless the forest is disturbed), and measurement once a decade may be sufficient. For other carbon pools, such as pastures or managed lands, differences within and across years can be substantial, and may require more frequent measurement. Timing can be critical, and alternative measurements may vary widely. The amount of carbon stored in vegetation, in particular, varies over the course of a year, with carbon being sequestered during the spring, carbon stored in foliage at its maximum in late summer, and carbon being released during the winter as the deciduous leaves decompose. Thus, consistent timing for annual measures is an important element for agricultural and forestry carbon projects.

Verification. Verifying the emission reduction or carbon sequestration is critical in efforts to mitigate climate change. It is particularly important for agriculture and forestry projects, as these activities are harder to measure reliably than other types of GHG offsets. One question is who will be responsible for verifying changes in carbon, which raises questions about the role of a regulatory agency for accrediting claimed changes in carbon levels from an activity.

Existing programs typically recommend or require that the carbon offset be verified by an independent entity. Independent verification may be an auditing function, to assure the reality and accuracy of the carbon offset for markets (buyers and sellers), regulations (emitters and regulators), and reports (emitters and reporting organizations).[10] One source has prescribed several qualities for independent verification: an “independent, qualified, third-party verifier” using “approved methodologies and regulations” and “whose compensation is not in any way dependent on the outcomes of their decisions” and who follows set procedures to avoid conflicts of interest.[11]

As voluntary and regulated markets for GHG emissions offsets develop, qualified, independent organizations to verify carbon offsets will be needed. Entities qualified to verify agriculture and forest carbon offsets must be proven to be knowledgeable about carbon measurement. One source notes: “To provide good quality and trustworthy oversight, a sufficiently rigorous accreditation process will be necessary to ensure that the verifiers have the needed expertise.”[12] This process could parallel the development of independent auditors for certifying sustainable forestry programs.[13]

Measurement Techniques. Basic approaches for measuring agricultural and forest carbon inventories and change include on-site measurement, indirect measurement from off-site tools, and estimation using process models or inferences. A hybrid approach involving a combination of approaches (e.g., combining modeling with on-site sampling and independent verification) might improve the accuracy enough to be useful while still containing costs. Because of the inherent challenges associated with balancing the cost of measuring carbon and the accuracy of these measurements, any practicable system for measuring forest and agricultural carbon might require a mix of these different methods and approaches, rather than a single approach.

On-Site Measurement. Direct measurement of the carbon content of agricultural and forestry soils and vegetation through field sampling and site-specific laboratory estimates is perhaps the most accurate way to measure carbon levels and changes. However, this is time-consuming, costly, and often requires continuous sampling and replication via a census of soil and vegetation carbon for all agriculture and forestry projects, and may be infeasible. Also, it cannot cover large areas. Samples can be taken and the results extrapolated, based on soil survey, land cover, climate, and other spatial data. Sampling patterns (e.g., a grid, random, or stratified random), intensity (e.g., the area to be sampled), and frequency are likely to be specified in the protocols, and many sources discuss sampling methods for agriculture and forestry projects.[14] The more intensive and frequent the sampling, the greater the cost, but the higher the likely accuracy of the data. Most experts suggest some sampling to ensure the accuracy of models or off-site measures, especially performed consistently over time.

As with verification, the entity that measures the on-site carbon can affect perceptions of the accuracy of the measurement. Landowners or other offset sellers can perform the measurement — both at the outset of the project (for the baseline) and periodically during the life of the project. This could reduce costs, because they are commonly on the site, but raises questions of credibility, since they have an interest in the reported carbon levels. Ensuring that verification is conducted by independent verifiers might be sufficient to assuage market concerns over credibility, but could involve high project verification costs.

Indirect Measurement with Off-Site Tools. Tools exist to calculate carbon content without actually being on the site. Remote sensing — using photographic and other images from aircraft or satellites — can be used to measure carbon-related factors. For example, infrared imagery can detect live biomass, with variations in the image reflecting variations in the type and level of biomass. Remote sensing has long been used in forestry for calculating commercial timber volumes of forest stands.

The principal advantage of remote sensing is coverage, given its ability to assess a wide area relatively quickly. Another advantage is that the remote sensing and the analysis of the results are generally performed by experts, improving the credibility of the results and probably lowering the cost of verification. It can provide highly accurate information for some types of carbon-related measures, such as activities with readily visible results (e.g., deforestation and afforestation) or measurable carbon pools (e.g., live above-ground biomass). One disadvantage is the high fixed cost of providing remote coverage; satellites are very expensive to launch and maintain. Aircraft may be less expensive but may cover less area. Once the satellites are in place, extending satellite coverage to additional areas is relatively inexpensive. For some carbon-related measures, such as activities with less visible impacts (e.g., sustainable forestry) or less readily measurable carbon pools (e.g., soil carbon), remote sensing is problematic. Also, in some areas, cloud cover can interrupt regular measurements. Methods for consistently and reliably interpreting remote imagery are still under development, and are usually recommended to be used in conjunction with other techniques.

Estimation Using Process Models or Inferences. Another indirect approach is to estimate agricultural and forestry carbon with models or other analytical tools. Models are available to estimate a variety of ecosystem processes, and are used to depict site-specific conditions. Models, especially computer models, are typically built from extensive research and data sets, and provide average or archetypical estimates of physical area, temperature, precipitation, forest or soil type, slope, plant diversity, and microbial activity. The accuracy of the results depends in large part on the validity and measurement of the input variables for the model. Data may be presented in tabular form, called “lookup tables” because estimates can be looked up in the table based on a few key variables, such as forest type and tree age or soil type.[15] A related simpler approach might use inferences or generalized input data scaled up to the size of the farm or forested area to approximate the sequestration for an activity.[16] Such an approach may reduce costs, but provide a relatively low level of precision, and possibly high verification costs.

The advantage of a modeling approach is that it is relatively simple and low-cost, and often provides consistent estimates. However, it may not reflect actual differences within and across sites and activities, since it relies on archetypical or average carbon estimates and not site-specific carbon measurements. Model proponents often suggest using occasional site-specific sampling to assure the validity of the model chosen for the project and site, and some suggest adjusting the estimates based on the samples. This introduces the potential for bias in reporting carbon, and significantly increases the difficulty of verification. In addition, for most situations and project types, numerous models exist. These competing models may yield quite different estimates for the same site, because of the different data sets and assumptions used in constructing the models. One model may yield the most accurate estimates in certain circumstances, while another model may yield more accurate estimates in other circumstances.

Considerations for Congress

Congress has already taken steps to address some of the challenges associated with measuring carbon changes from forested and agricultural lands and practices. The 2008 farm bill (P.L. 110-246, the Food, Conservation, and Energy Act of 2008) includes a provision (Sec. 2709) directing USDA to “establish technical guidelines that outline science-based methods to measure the environmental services benefits,” including carbon storage, from forests and agricultural activities. This includes developing measurement procedures and a reporting protocol and registry. The Energy Independence and Security Act of 2007 (P.L. 110-140, Sec. 712) directs the Secretary of the Interior to develop a methodology to assess carbon sequestration and emissions from ecosystems. This methodology is to cover measuring, monitoring, and quantifying GHG emissions and reductions, and provide estimates of sequestration capacity and the mitigation potential of different ecosystem management practices.

Congress continues to face the question of whether its current authorized activities provide adequate and sufficient guidelines for accurately measuring carbon levels from forest and agricultural activities.

References

  1. ^Under the United Nations Framework Convention on Climate Change (UNFCC), GHGs include CO2, methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), and sulfur hexafluoride (SF6). Because various GHGs have different climatic consequences, they are typically converted to a standard measure, usually metric tons of CO2-equivalents (CO2-Eq.).
  2. ^CRS Report RL33846, Greenhouse Gas Reduction: Cap-and-Trade Bills in the 110th Congress.
  3. ^See Agriculture and Climate Change.
  4. ^The official U.S. estimates of current national GHG emissions and carbon uptake, including agriculture and forestry estimates, are those published by the U.S. Environmental Protection Agency (EPA) in its annual Inventory of U.S. Greenhouse Gas Emissions and Sinks.
  5. ^In this report, offset refers to any action that reduces or mitigates GHG emissions, usually from an unrelated source (e.g., increased carbon storage on forest or farmlands to offset emissions from automobiles). The term offsets may also be used to refer to approved carbon reduction or sequestration projects under specific regulatory or voluntary GHG reduction programs. See CRS Report RL34560, Forest Carbon Markets: Potential and Drawbacks.
  6. ^See CRS Report RL34436, The Role of Offsets in a Greenhouse Gas Emissions Cap-and-Trade Program: Potential Benefits and Concerns; and Timothy Pearson et al., Sourcebook for Land Use, Land-Use Change, and Forestry Projects, Winrock International, 2005.
  7. ^ CCX, “CCX Offsets Program,” at [17].
  8. ^RGGI, Regional Greenhouse Gas Initiative Model Rule, 1/5/07 Final, at model_rule_corrected_1_5_07.pdf.
  9. ^See Suzie Greenhalgh et al., The Greenhouse Gas Protocol: The Land Use, Land-Use Change, and Forestry Guidance for GHG Project Accounting, World Resources Institute, Oct. 2006.
  10. ^Zach Willey and Bill Chameides, eds., Harnessing Farms and Forests in the Low-Carbon Economy: How to Create, Measure, and Verify Greenhouse Gas Offsets, Nicholas Institute for Environmental Policy Solutions, 2007.
  11. ^Offset Quality Initiative, Ensuring Offset Quality (July 2008), at [18].
  12. ^Lydia Olander et al., Designing Offsets Policy for the U.S.: Principles, Challenges, and Options for Encouraging Domestic and International Emissions Reductions and Sequestration from Uncapped Entities as Part of a Federal Cap-and-Trade for Greenhouse Gases, Nicholas Institute for Environmental Policy Solutions, May 2008.
  13. ^For more information on forest certification, see [19].
  14. ^For examples of the latter, see Harnessing Forest and Farm Carbon; GHG Project Accounting; and Sourcebook for LULUCF Projects.
  15. ^James E. Smith et al., Methods for Calculating Forest Ecosystem and Harvested Carbon with Standard Estimates for Forest Types of the United States, Gen. Tech. Rept. NE-343, April 2006.
  16. ^See, e.g., U.S. Dept. of Energy, Technical Guidelines Voluntary Reporting of Greenhouse Gases (1605(b)) Program, March 2006, Parts H and I.

Note: The first version of this article was drawn from  RS22964 Measuring and Monitoring Carbon in the Agricultural and Forestry Sectors by Ross W. Gorte and Renée Johnson, Congressional Research Service, October 6, 2008.


 

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(2012). Measuring and Monitoring Carbon in the Agricultural and Forestry Sectors. Retrieved from http://www.eoearth.org/view/article/51cbee6b7896bb431f697b5e

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