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Rates and drivers of aboveground carbon accumulation in global monoculture plantation forests

Author

Listed:
  • Jacob J. Bukoski

    (Conservation International
    University of California)

  • Susan C. Cook-Patton

    (The Nature Conservancy
    Smithsonian Conservation Biology Institute)

  • Cyril Melikov

    (University of California
    Environmental Defense Fund)

  • Hongyi Ban

    (University of California)

  • Jessica L. Chen

    (University of California)

  • Elizabeth D. Goldman

    (World Resources Institute)

  • Nancy L. Harris

    (World Resources Institute)

  • Matthew D. Potts

    (University of California
    Carbon Direct, Inc.)

Abstract

Restoring forest cover is a key action for mitigating climate change. Although monoculture plantations dominate existing commitments to restore forest cover, we lack a synthetic view of how carbon accumulates in these systems. Here, we assemble a global database of 4756 field-plot measurements from monoculture plantations across all forested continents. With these data, we model carbon accumulation in aboveground live tree biomass and examine the biological, environmental, and human drivers that influence this growth. Our results identify four-fold variation in carbon accumulation rates across tree genera, plant functional types, and biomes, as well as the key mediators (e.g., genus of tree, endemism of species, prior land use) of variation in these rates. Our nonlinear growth models advance our understanding of carbon accumulation in forests relative to mean annual rates, particularly during the next few decades that are critical for mitigating climate change.

Suggested Citation

  • Jacob J. Bukoski & Susan C. Cook-Patton & Cyril Melikov & Hongyi Ban & Jessica L. Chen & Elizabeth D. Goldman & Nancy L. Harris & Matthew D. Potts, 2022. "Rates and drivers of aboveground carbon accumulation in global monoculture plantation forests," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31380-7
    DOI: 10.1038/s41467-022-31380-7
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    References listed on IDEAS

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    1. Franklin Satterthwaite, 1941. "Synthesis of variance," Psychometrika, Springer;The Psychometric Society, vol. 6(5), pages 309-316, October.
    2. Olschewski, Roland & Benítez, Pablo C., 2010. "Optimizing joint production of timber and carbon sequestration of afforestation projects," Journal of Forest Economics, Elsevier, vol. 16(1), pages 1-10, January.
    3. Comets, Emmanuelle & Lavenu, Audrey & Lavielle, Marc, 2017. "Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 80(i03).
    4. Susan C. Cook-Patton & Sara M. Leavitt & David Gibbs & Nancy L. Harris & Kristine Lister & Kristina J. Anderson-Teixeira & Russell D. Briggs & Robin L. Chazdon & Thomas W. Crowther & Peter W. Ellis & , 2020. "Mapping carbon accumulation potential from global natural forest regrowth," Nature, Nature, vol. 585(7826), pages 545-550, September.
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    Cited by:

    1. Alexandrov, Georgii A., 2025. "When does artificial intelligence replace process-based models in ecological modelling?," Ecological Modelling, Elsevier, vol. 499(C).
    2. Songbai Hong & Jinzhi Ding & Fei Kan & Hao Xu & Shaoyuan Chen & Yitong Yao & Shilong Piao, 2023. "Asymmetry of carbon sequestrations by plant and soil after forestation regulated by soil nitrogen," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

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