1 Log Dimensions
Volume estimation method
V = Ο Γ rΒ² Γ L β single diameter, overestimates tapered logs.
Diameter (cm)
Length (m)
Wood type
Tracking horizon (years)
2 Physical Parameters
Default values based on wood type. Edit to override.
Wood density (kg/mΒ³)
Softwood default: 450 Β· Hardwood default: 600
Carbon fraction (0β1)
Softwood default: 0.50 Β· Hardwood default: 0.48
3 End-Use Category
Select the end use for this log. Auto-suggested based on log size & type.
Log-to-product conversion efficiency (0β1)
Fraction of log carbon that enters the product. Default by product shown below.
4 Run Log Carbon Tracker
Python will initialize automatically on first run.
Carbon Retained Over Time
Results Table
1 Product Type & Dimensions
Product category
Dimensional lumber (2Γ4, 2Γ6, glulam beams, etc.): enter thickness, width, length.
Thickness (mm)
Nominal 2β³ = 38 mm; 4β³ = 89 mm
Width (mm)
Length (m)
12 ft = 3.66 m; 16 ft = 4.88 m
Quantity (pieces)
Wood species / type
Tracking horizon (years)
2 Physical Parameters
Oven-dry density and carbon fraction defaults by species.
Oven-dry density (kg/mΒ³)
Softwood β 420 Β· Hardwood β 580 Β· Tropical β 680
Carbon fraction (0β1)
Typical range: 0.47β0.51
3 End-Use Category
Select service-life category. Determines disposal & decay parameters.
Processing efficiency (0β1)
Fraction of product carbon that is serviceable (accounts for trim waste). Sawn lumber β 0.90, panels β 0.85.
4 Run Product Carbon Tracker
Python initializes automatically on first run.
Carbon Retained Over Time
Results Table
1 Data Source
Input Units
Plot Units
2 Model Parameters
3 Run Tracker
βΉ About
Tracks carbon in-use, recycled, landfill, and bioenergy pools across seven product categories using the IPCC-compatible Gaussian disposal model.
Carbon Stock β Latest Year
Annual Wood Products Production
Input DataCarbon Storage by Pool
Model Outputπ Results Table
Global Wood Products Carbon Storage (Based on FAO Data)
Select Location
Carbon Storage Over Time
Carbon Emissions & Decay
Summary Table
Click a country on the map or select from the list to view data.
π User Guide
How to prepare data, run the tracker, and interpret results
Based on: Wei et al. (2023) Β· Carbon Balance and Management
β‘ Quick Start β End-use Products Tracker
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1
Select a Data Source
Choose a built-in example, or upload your own data (see format below).
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2
Choose Model Parameters
Use the default parameters or upload a custom parameters for your region.
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3
βοΈ Initialize Tracker
Click "Initialize Tracker". The first load downloads the Python runtime (~50 MB, 30β90 sec). Subsequent loads within the same session are instant.
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4
βΆ Run Tracker
Runs the model. Results appear in the table; the Download button activates.
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5
π Plot & Explore
Use "Plot Input" and "Plot Carbon Stock" to visualise production trends and accumulated carbon pools. Hover charts for exact values.
π Input Data CSV Format
The production data file must be a comma-separated (.csv) file with the following columns. All numeric values must be in kg C per year.
| Column Name | Pool | Description |
|---|---|---|
| Year | β | Calendar year (integer). Required. No gaps. |
| Biofuel | Bioenergy | Annual biofuel combustion (kg C/yr) β industrial + residential fuel wood. |
| Biochar | Charcoal | Non-energy use biochar production (kg C/yr). |
| Construction | End-use | Wood in building construction β sawnwood, structural panels (kg C/yr). |
| Exterior | End-use | Exterior products β railway ties, wood decking, dock materials (kg C/yr). No recycling. |
| Household | End-use | Home application β furniture, flooring, interior millwork (kg C/yr). |
| Graphic Paper | End-use | Printing & writing paper, newsprint (kg C/yr). Service half-life Ξ³ = 6 yr. |
| Household Paper | End-use | Tissue, toweling, sanitary paper (kg C/yr). Service half-life Ξ³ = 0.5 yr. No recycling. |
| Other Paper | End-use | Packaging, cardboard, industrial paperboard (kg C/yr). Service half-life Ξ³ = 1 yr. |
Example (first 3 rows)
Year,Biofuel,Biochar,Construction,Exterior,Household,Graphic Paper,Household Paper,Other Paper 1961,285763275,12447848,179817095,74300620,194099473,173635256,264196012,59754273 1962,282588127,12004344,188776252,99492208,170293682,169884778,270564088,56458288 1963,293701143,17763045,189602353,71383467,163003331,179487717,297712002,55771351
π‘ To convert from dry biomass weight to kg C: multiply by 0.50 (wood carbon fraction β 50%).
βοΈ Parameters CSV Format
The parameters file has exactly three columns: Product, Variable, Parameter. Default values are from Wei et al. (2023) Table 1 and are appropriate for US-based studies.
| Product | Ξ± (dp_1) | Ξ² (dp_2) | Ξ³ yr (dp_3) |
|---|---|---|---|
| Construction | 0.133 | 0.028 | 80 |
| Exterior | 0.326 | 0.041 | 25 |
| Household | 0.265 | 0.031 | 30 |
| Graphic Paper | 1.006 | 0.0 | 6 |
| Household Paper | 12.036 | 0.0 | 0.5 |
| Other Paper | 6.036 | 0.0 | 1 |
| Product | Ξ» (rc_1) | ΞΌ (rc_2) |
|---|---|---|
| Construction | 0.085 | 0.015 |
| Household | 0.085 | 0.015 |
| Graphic Paper | 0.225 | 0.027 |
| Other Paper | 0.225 | 0.027 |
| Pool | ΞΎ (decay1) | Ο yr (decay2) |
|---|---|---|
| Construction | 0.997 | 30 |
| Exterior | 1.178 | 20 |
| Household | 1.329 | 15 |
| Paper | 0.821 | 5 |
π Citation
Open Access Β· Creative Commons Attribution 4.0 International (CC BY 4.0)
Principal Investigator
Co-Investigators
Daniel Hayes
University of Maine
Aaron Weiskittel
University of Maine
Jianheng Zhao
University of Maine
Ling Li
University of Maine
Adam Daigneault
University of Maine
Collaborators
Chris Woodall
CTrees
Benjamin Poulter
Spark Climate Solutions
Lei Ma
University of Maryland
Jereme Frank
Maine Forest Service
Prakash Nepal
USDA Forest Service
Grant Daniels
University of Maine
Funding
USDA β Northeastern States Research Cooperative (NSRC)
Next-generation wood products carbon estimator: a tool for comprehensive stakeholder collaboration and decision-making
NASA β Carbon Monitoring System
Supporting Stakeholder Data Requirements for Decision-Making in Managed Forests: A Landscape Model-Data Framework for High Resolution Carbon Accounting and Uncertainty Estimation
Phase 2 prototype development of a scalable MRV framework that integrates inventory data, remote sensing, and landscape modeling to support stakeholder decision-making for carbon in managed forests
Module Overview
Industrial Logs
Single-log carbon tracking from harvest
Sawn Products
Lumber, panels & engineered wood
End-use Products
Regional wood products carbon flux
Global WPs Carbon
Country-level comparisons & benchmarks
π Carbon Flow Framework
Wood products carbon flux framework across pools and life-cycle stages
π Key Citation
Wei, X., Zhao, J., Hayes, D., Daigneault, A. & Zhu, H. (2023). A life cycle and product type based estimator for quantifying the carbon stored in wood products. Carbon Balance and Management. 18, 1.
doi.org/10.1186/s13021-022-00220-y βπ Related Publications
Poulter, B., Murray-Tortarolo, G., Hayes, D., Ciais, P., Andrew, R., Byrne, B., ... Wei, X., ... & Zhang, Z. (2025). The North American Greenhouse Gas Budget: emissions, removals, and integration for CO2, CH4, and N2O (2010-2019): Results from the Second REgional Carbon Cycle Assessment and Processes Study (RECCAP2). Global Biogeochemical Cycles. 39(4), e2024GB008310.
doi.org/10.1029/2024GB008310 βZhao, J., Wei, X., Diao, J., Chen, H., Lin, S., Zhu, Z., Jiang, X., & Zhu, H. (2023). Exploring plausible contributions of end-use harvested wood products to store atmospheric carbon in China. Biomass and Bioenergy. 177, 106934.
doi.org/10.1016/j.biombioe.2023.106934 βZhao, J., Wei, X., & Li, L. (2022). The potential ability for storing carbon by harvested wood products. Frontiers in Forests and Global Change. 5, 1055410.
doi.org/10.3389/ffgc.2022.1055410 βLi, L., Wei, X., Zhao, J., Hayes, D., Daigneault, A., Weiskittel, A., Kizha, A., & O'Neill, S. (2022). Technological advancement expands carbon storage in harvested wood products in Maine, USA. Biomass and Bioenergy. 161, 106457.
doi.org/10.1016/j.biombioe.2022.106457 β