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Carbon Estimation Tools: A Primer
Decision-support tools are meant to make life easier, but sometimes even choosing the right tool can be tricky! This is especially true for carbon estimation tools. Fortunately, The CCRC can help. Here's a summary of the most important factors to consider when deciding which carbon estimation tool is appropriate for your needs, and a few helpful tables to boot. Print Version: 12 MB, PDF, 2 pp.
What is a tool?
Here on the CCRC,a tool can be anything from a specialized calculator to a map or a model; tools are often designed to generate scenarios and provide information or context for managerial decision-making.
Four Important Factors
Scale
Scale is perhaps the most important factor to consider when selecting the appropriate
tool for carbon estimation. The tool's scale may range from global, national, or regional
on down to stand or tree-level. As you may guess, a tool's scale defines its purpose and
potential applications. Table 1 provides more detail on the appropriate scale for each
tool, while a specific tool's "landing page" here on the CCRC can give you much more
specific information about that tool's purpose and potential applications.
Required Input Data
The issue of required input data is very closely related to the issue of scale. Some
decision support tools are BYOD (bring your own data), while others draw FIA (Forest
Inventory and Analysis) or other data that the Forest Service has been collecting for
decades. Typically, the smaller or more precise the scale, the more likely you'll need to
provide your own data. That's because FIA data are collected at a larger scale, using
both remote sensing and field plots that are spaced at one plot per every 6,000 acres of
forest. Statistics gives us many ways to determine an accurate sample size, but you
don't need to be a statistics whiz to see why creating a stand- or even small county-level
estimate using FIA data would lead to a very small sample size and inaccurate results!
That's why most carbon estimation tools designed for smaller scales require more data
– data which the user must often supply.
Accessibility and Ease of Use
Are you looking for outputs this afternoon or next month? Different tools require varying
levels of user expertise and investments of time. Generally speaking, tools that don't
require you to BYOD (bring your own data), tend to be easier to learn and use. On the
other hand, models that yield spatially explicit and temporally dynamic results may need
to be paramatized, or "tuned", a process that generally involves a certain degree of
expertise. Among other things, table 2 provides a subjective ranking of ease-of-use for
each carbon estimation tool.
Potential Applications
This topic is closely related to the issue of scale, but is more specific and personalized.
It gets to the question of "what do you want to know and why?" Are you trying to inform
national policy, decipher appropriate management actions, or communicate to the public
about the benefits of local street trees? It's important to have some idea of what you'd
like to accomplish when deciding what tool is appropriate. On the other hand, if you're
completely new to the world of carbon estimation tools, merely browsing through the
options offered will help you gain a better perspective of what information and options
may be available.
Now that you're familiar with some of the criteria that might help to inform tool selection, take a look at the tables below. These can help you make a decision or narrow your options. Then, you can visit each tool's "landing page" on the CCRC for much more detailed information that may help you make your final decision!
Table 1
Decision-Support Tools by Spatial Scale and Forest Service Policy-level.
Table modified from Nick Skowronski, Climate Change Tools, NRS. Questions about the tools, email us?
Table 2
Decision-Support Tools
| Bring Your Own Data | Spatial Scale |
Output Metric |
Ease of Use |
||
| Cole | COLE retrieves Forest Inventory and Analysis data for user-selected domain and converts it to ecosystem carbon and produces carbon yield tables. |
(Larger) County to regional / national |
Carbon Stocks |
||
| CTCC | The CTCC Tree Carbon Calculator is the only tool approved by the Climate Action Reserve's Urban Forest Project Protocol for quantifying carbon dioxide sequestration from GHG tree planting projects. |
minimal | Tree | Carbon sequestered (stocks) and avoided; CO2 equivalents of energy savings |
|
| FVS | FVS is a stand-level vegetation growth simulator – many variants for U.S. regions and applications. FVS includes ecosystem and wood products carbon calculator. |
Forest Stand | Growth and yield;carbon stocks |
||
| i-Tree | i-Tree is a state-of-the-art software suite that provides urban forestry analysis and benefits assessment tools. |
Tree to Community- level |
Urban forest structure, economic valuation of ecosystem services |
||
| LANDIS | LANDIS is a spatially explicit landscape model designed to simulate forest landscape change over large spatial and temporal scales. LANDIS links to other models to assess climate change and carbon including a new link to the Century soil model. There are two main variants: LANDIS-4 and LANDIS-2. |
National Forest/ Landscape-level |
Landscape level projections of forest dynamics |
||
| CMS | This work involves coupling several models to look at the carbon cycle from forest cycling to forest product carbon cycling in the Great Lakes States. The work couples BIOME-BGC (a forest ecosystem process model) to several wood and paper product life cycle models, in order to obtain better understanding of carbon accounting after products have left the forest. |
Forest Stand | N/A | ||
| FS_Prin | Sustaining U.S. Forests and Managing Carbon under a Changing Climate: A Decision-support System for Land Managers. This work is focusing on developing forest dynamics models and will later work to couple these models with spatially explicit climate change scenarios. |
Landscape to National-level |
N/A | ||
| CCT | A computer application that reads Forest Inventory and Analysis Program (FIA) data and generates state-level annualized estimates of carbon stocks on forestland based on FORCARB2 estimators |
State to National Level |
Carbon Stocks |
||
| CASA | NASA's satellite-based model of productivity and carbon sequestration. |
Forest to National Level |
Carbon Stocks |
||
| NED2 | Forest ecosystem decision-support software that can be used by private land managers. This model utilizes fairly traditional growth and |
Forest Stand | Forest Inventory | ||
Minimal time investment < 2 hours Moderate time investment < 1 week Major time investment Consider partnering with a qualified research scientist Table modified from Nick Skowronski, Climate Change Tools, NRS. Questions about the tools, email us? |



