Prioritizing Opportunities to Empower Forest Carbon Decisions Through Strategic Investment in Forest Modeling Capacity

Christopher W. Woodall; Holly L. Munro; Jeff W. Atkins; Bronson P. Bullock; Thomas R. Fox; Coeli M. Hoover; Stephen M. Kinane; Lara T. Murray; Stephen P. Prisley; John D. Shaw; Erin Smith-Mateja; Aaron R. Weiskittel; William R.L. Anderegg; Gert Jan Nabuurs; Kimberly A. Novick; Benjamin Poulter; Ajdin Starcevic; Courtney L. Giebink

doi:10.1007/s44392-025-00012-5

Prioritizing Opportunities to Empower Forest Carbon Decisions Through Strategic Investment in Forest Modeling Capacity

Christopher W. Woodall^*, Holly L. Munro, Jeff W. Atkins, Bronson P. Bullock, Thomas R. Fox, Coeli M. Hoover, Stephen M. Kinane, Lara T. Murray, Stephen P. Prisley, John D. Shaw, Erin Smith-Mateja, Aaron R. Weiskittel, William R.L. Anderegg, Gert Jan Nabuurs, Kimberly A. Novick, Benjamin Poulter, Ajdin Starcevic, Courtney L. Giebink

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Forest ecosystems play a crucial role in the global carbon cycle, acting as substantial carbon sinks and offering pathways for climate change mitigation and adaptation strategies, including greenhouse gas (GHG) emission offsetting and bioeconomic opportunities collectively referred to as Natural Climate Solutions (NCS). Over 100 forest carbon modeling experts, primarily from the US, were engaged through a Forest Carbon Modeling Group (FCMG) to identify and prioritize research needs, opportunities, and knowledge gaps for refining the application of NCS to meet a growing spectrum of GHG mitigation and adaptation strategies initially focused on US forests with possible applicability to other temperate/boreal systems. This engagement informed the development of a framework for forest carbon decision-making, which offers a scalable, hierarchical, and transdisciplinary approach that can address immediate research needs (e.g., regeneration modeling) while advancing critical, long-term scientific advances (e.g., lateral flux modeling) that aligns technology and model development with perspectives across users and sectors over 100.

Original language	English
Journal	Journal of forestry
DOIs	https://doi.org/10.1007/s44392-025-00012-5
Publication status	E-pub ahead of print - 26 Feb 2025

Keywords

Biometrics
Forest carbon
Modeling
Natural climate solutions

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s44392-025-00012-5

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Woodall, C. W., Munro, H. L., Atkins, J. W., Bullock, B. P., Fox, T. R., Hoover, C. M., Kinane, S. M., Murray, L. T., Prisley, S. P., Shaw, J. D., Smith-Mateja, E., Weiskittel, A. R., Anderegg, W. R. L., Nabuurs, G. J., Novick, K. A., Poulter, B., Starcevic, A., & Giebink, C. L. (2025). Prioritizing Opportunities to Empower Forest Carbon Decisions Through Strategic Investment in Forest Modeling Capacity. Journal of forestry. Advance online publication. https://doi.org/10.1007/s44392-025-00012-5

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abstract = "Forest ecosystems play a crucial role in the global carbon cycle, acting as substantial carbon sinks and offering pathways for climate change mitigation and adaptation strategies, including greenhouse gas (GHG) emission offsetting and bioeconomic opportunities collectively referred to as Natural Climate Solutions (NCS). Over 100 forest carbon modeling experts, primarily from the US, were engaged through a Forest Carbon Modeling Group (FCMG) to identify and prioritize research needs, opportunities, and knowledge gaps for refining the application of NCS to meet a growing spectrum of GHG mitigation and adaptation strategies initially focused on US forests with possible applicability to other temperate/boreal systems. This engagement informed the development of a framework for forest carbon decision-making, which offers a scalable, hierarchical, and transdisciplinary approach that can address immediate research needs (e.g., regeneration modeling) while advancing critical, long-term scientific advances (e.g., lateral flux modeling) that aligns technology and model development with perspectives across users and sectors over 100.",

keywords = "Biometrics, Forest carbon, Modeling, Natural climate solutions",

author = "Woodall, {Christopher W.} and Munro, {Holly L.} and Atkins, {Jeff W.} and Bullock, {Bronson P.} and Fox, {Thomas R.} and Hoover, {Coeli M.} and Kinane, {Stephen M.} and Murray, {Lara T.} and Prisley, {Stephen P.} and Shaw, {John D.} and Erin Smith-Mateja and Weiskittel, {Aaron R.} and Anderegg, {William R.L.} and Nabuurs, {Gert Jan} and Novick, {Kimberly A.} and Benjamin Poulter and Ajdin Starcevic and Giebink, {Courtney L.}",

year = "2025",

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doi = "10.1007/s44392-025-00012-5",

language = "English",

journal = "Journal of forestry",

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Woodall, CW, Munro, HL, Atkins, JW, Bullock, BP, Fox, TR, Hoover, CM, Kinane, SM, Murray, LT, Prisley, SP, Shaw, JD, Smith-Mateja, E, Weiskittel, AR, Anderegg, WRL, Nabuurs, GJ, Novick, KA, Poulter, B, Starcevic, A & Giebink, CL 2025, 'Prioritizing Opportunities to Empower Forest Carbon Decisions Through Strategic Investment in Forest Modeling Capacity', Journal of forestry. https://doi.org/10.1007/s44392-025-00012-5

TY - JOUR

T1 - Prioritizing Opportunities to Empower Forest Carbon Decisions Through Strategic Investment in Forest Modeling Capacity

AU - Woodall, Christopher W.

AU - Munro, Holly L.

AU - Atkins, Jeff W.

AU - Bullock, Bronson P.

AU - Fox, Thomas R.

AU - Hoover, Coeli M.

AU - Kinane, Stephen M.

AU - Murray, Lara T.

AU - Prisley, Stephen P.

AU - Shaw, John D.

AU - Smith-Mateja, Erin

AU - Weiskittel, Aaron R.

AU - Anderegg, William R.L.

AU - Nabuurs, Gert Jan

AU - Novick, Kimberly A.

AU - Poulter, Benjamin

AU - Starcevic, Ajdin

AU - Giebink, Courtney L.

PY - 2025/2/26

Y1 - 2025/2/26

N2 - Forest ecosystems play a crucial role in the global carbon cycle, acting as substantial carbon sinks and offering pathways for climate change mitigation and adaptation strategies, including greenhouse gas (GHG) emission offsetting and bioeconomic opportunities collectively referred to as Natural Climate Solutions (NCS). Over 100 forest carbon modeling experts, primarily from the US, were engaged through a Forest Carbon Modeling Group (FCMG) to identify and prioritize research needs, opportunities, and knowledge gaps for refining the application of NCS to meet a growing spectrum of GHG mitigation and adaptation strategies initially focused on US forests with possible applicability to other temperate/boreal systems. This engagement informed the development of a framework for forest carbon decision-making, which offers a scalable, hierarchical, and transdisciplinary approach that can address immediate research needs (e.g., regeneration modeling) while advancing critical, long-term scientific advances (e.g., lateral flux modeling) that aligns technology and model development with perspectives across users and sectors over 100.

AB - Forest ecosystems play a crucial role in the global carbon cycle, acting as substantial carbon sinks and offering pathways for climate change mitigation and adaptation strategies, including greenhouse gas (GHG) emission offsetting and bioeconomic opportunities collectively referred to as Natural Climate Solutions (NCS). Over 100 forest carbon modeling experts, primarily from the US, were engaged through a Forest Carbon Modeling Group (FCMG) to identify and prioritize research needs, opportunities, and knowledge gaps for refining the application of NCS to meet a growing spectrum of GHG mitigation and adaptation strategies initially focused on US forests with possible applicability to other temperate/boreal systems. This engagement informed the development of a framework for forest carbon decision-making, which offers a scalable, hierarchical, and transdisciplinary approach that can address immediate research needs (e.g., regeneration modeling) while advancing critical, long-term scientific advances (e.g., lateral flux modeling) that aligns technology and model development with perspectives across users and sectors over 100.

KW - Biometrics

KW - Forest carbon

KW - Modeling

KW - Natural climate solutions

U2 - 10.1007/s44392-025-00012-5

DO - 10.1007/s44392-025-00012-5

M3 - Article

AN - SCOPUS:85218796231

SN - 0022-1201

JO - Journal of forestry

JF - Journal of forestry

ER -

Prioritizing Opportunities to Empower Forest Carbon Decisions Through Strategic Investment in Forest Modeling Capacity

Abstract

Keywords

UN SDGs

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