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Forests vary in the total amount of carbon they store and how this carbon is distributed across different carbon pools. Forests also vary in their rates of carbon uptake from the atmosphere and in how quickly carbon is transferred from one pool to another. The movement of carbon between pools or between the atmosphere and land is called a carbon flux. Within a forest stand, carbon fluxes and pools are influenced by different forest characteristics including the following:

  • Stand age
  • Tree species composition
  • Structural diversity
  • Soil properties
  • Climate

Stand Age

In general, older forests hold more carbon in trees, and younger forests take up carbon more quickly from the atmosphere (Figure 1). Older forest stands have larger trees, which hold more biomass carbon stock compared to younger forests with smaller trees. On the other hand, younger forest stands have higher rates of carbon uptake. This rate of carbon uptake steadily decreases with stand age even as the total amount of carbon stored in aboveground live biomass increases with stand age.

Line graph showing stand age class across the bottom x-axis from 0-20 to 120+ years. Rate of carbon uptake in tonnes of carbon per hectare per year is shown as high in the 0-20 age class becoming low in 120 age class (decreasing over time). Carbon stock in tonnes of carbon per hectare is shown as low in the 0-20 age class and high in the 120 age class (increasing over time).
Figure 1. Average carbon stock (tonnes of carbon per hectare) and annual net rate of carbon uptake (tonnes of carbon per hectare per year) in live aboveground tree carbon stocks across different forest stand age classes. Based on age class data from forests across the Northeast U.S., adapted from Hoover and Smith 2023.

Tree Species Composition

Tree species composition affects how quickly a forest stand grows and converts carbon from the atmosphere into new biomass, a process known as net primary productivity (NPP). In general, rates of annual biomass accumulation (NPP) increase in the early stages of forest stand development but become stable or even decline as forests age (Figure 2). Tree species composition also influences the age at which the stand experiences peak carbon uptake before rates of carbon uptake start to slow. While the rate of carbon uptake diminishes with age, a forest will remain a carbon sink if it has a positive NPP rate, even if the rate is decreasing. There are limited data on NPP in old forests, making our estimates of carbon dynamics in old forests less certain (Thom et al. 2019).

Line graph of example forest species compositions plotted by stand age in years on the x-axis and net primary productivity in tonnes of carbon per hectare per year on the y-axis. Loblolly/shortleaf pine forests have the highest net primary productivity, then oak/pine, then maple/beech/birch forests. All forests peak within the first 60-80 years before leveling out for productivity.
Figure 2. Relationship between net primary productivity (tonnes of carbon per hectare per year) and stand age for three selected forest-type groups averaged across all national forests in the USDA Forest Service Eastern Region. Adapted from Birdsey et al. 2019.

Structural Diversity

Forest stands with more structural diversity tend to have higher rates of carbon uptake (Figure 3)(Atkins et al. 2018; 2022; Hardiman et al. 2013; Murphy et al. 2022; Scheuermann et al. 2018). Structural diversity can take a variety of forms, including how stems are arranged across space (for example, the patchiness of individual trees across a stand), the height of trees, and the amount of leaf area. A forest with high structural diversity has multiple layers of vegetation spanning the canopy to subcanopy and understory, along with substantial downed woody debris. Such a forest is able to store more carbon vertically in all of its layers than a less structurally diverse, even-aged forest that has little variation in tree height and no subcanopy.

Illustration of a forest with high structural diversity on the left side and low structural diversity on the right side. High structural diversity illustration includes lots of trees, saplings, understory, dead wood, etc., and low structural diversity illustration has even aged simlar trees, less dead wood and understory.
Figure 3. Illustration of a forest stand with high structural diversity compared to a forest stand with low structural diversity.

Soil Properties

Soil depth, soil type, and other soil properties affect the carbon storage of a forest. Deeper soils typically store more carbon per area than shallow soils, and fine-textured, clayey soils store more carbon than coarse, sandy soils (Figure 4). In addition to directly influencing the soil carbon pool, soil properties also influence aboveground carbon. Soils that have high organic matter content and high water holding capacity are able to support greater aboveground biomass and live carbon storage compared to soils with low organic matter, poor drainage, or low cation exchange capacity (Nave et al. 2017).

Illustration of two different types of soils. On the left side is an illustration of deep, fine-textured, clayey soils with high organic matter content and high water holding capacity. On the right side is an illustration of shallow, coarse-textured, sandy soils with low organic matter content and poor water holding capacity.
Figure 4. Illustrated comparison of soil depth, type, and other properties that can affect carbon storage.

Climate

Climate plays a strong role in regulating forest carbon. Warmer and wetter climates support higher rates of vegetative productivity and carbon uptake compared to cooler and drier climates (Figure 5). For example, in a study across the northwestern part of the Great Lakes region, annual biomass accumulation was found to be higher in the southern, warmer part of the region compared to northern Minnesota where it is drier and colder (Nave et al. 2017).

Illustrated comparison of warmer wetter climates on the left side and cooler, drier climates on the right side. Warmer wetter climates includes arrows indicating high rates of vegetation productivty and carbon uptake. Cooler, drier climates has smaller arrows indicating lower rates of productivity and carbon uptake.
Figure 5. Illustrated comparison of how climate generally affects forest carbon. Warmer, wetting climates support higher rates of vegetative productivity and carbon uptake compared to cooler and drier climates.
 

Key Terms:

  • Biomass
  • Carbon flux
  • Carbon pool
  • Carbon sink
  • Carbon storage
  • Carbon uptake
  • Forest stand
  • Net primary productivity

For more terms and definitions, see the Carbon Terminology page.


References

Birdsey, R.A.; Dugan, A.J.; Healey, S. P.; Dante-Wood, K.; Zhang, F.; Mo, G.; Chen, J.M.; Hernandez, A.J.; Raymond, C.L.; McCarter, J. 2019. Assessment of the influence of disturbance, management activities, and environmental factors on carbon stocks of U.S. national forests. Gen. Tech. Rep. RMRS-GTR-402. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 116p. https://doi.org/10.2737/RMRS-GTR-402.  

 

Hoover, C. M; Smith, J.E. 2023. Aboveground live tree carbon stock and change in forests of conterminous United States: influence of stand age. Carbon Balance and Management. 18: 7. https://doi.org/10.1186/s13021-023-00227-z.

 

Nave, L. E.; Gough, C.M.; Perry, C.H.; Hofmeister, K.L.; Le Moine, J.M.;  Domke, G.M.;  Swanston, C.W.; Nadelhoffer, K.J. 2017. Physiographic factors underlie rates of biomass production during succession in Great Lakes forest landscapes. Forest Ecology and Management. 397: 157–173. https://doi.org/10.1016/j.foreco.2017.04.040.

 

Thom, D.; Golivets, M.; Edling, L.; Meigs, G.W.; Gourevitch, J.D.; Sonter, L.J.; Galford, G.L.; Keeton, W.S. 2019. The climate sensitivity of carbon, timber, and species richness covaries with forest age in boreal–temperate North America. Global Change Biology. 25: 2446–2458. https://doi.org/10.1111/gcb.14656.

 


About this Topic Page

This text was prepared by:

  • Adrienne Keller, Northern Institute of Applied Climate Science, Michigan Technological University.
  • Katie Frerker, Northern Institute of Applied Climate Science, USDA Forest Service Eastern Region.
  • Manashree Padiyath, formally Northern Institute of Applied Climate Science, USDA Forest Service Northern Research Station.
  • Kailey Marcinkowski, Northern Institute of Applied Climate Science, Michigan Technological University.

Graphics were adapted, designed, and produced by Kailey Marcinkowski, Northern Institute of Applied Climate Science, Michigan Technological University.

This topic page is part of a collection of resources related to understanding forest carbon. 

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