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Large carbon sink potential of secondary forests in the Brazilian Amazon to mitigate climate change

Author

Listed:
  • Viola H. A. Heinrich

    (University of Bristol)

  • Ricardo Dalagnol

    (Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE))

  • Henrique L. G. Cassol

    (Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE))

  • Thais M. Rosan

    (University of Exeter)

  • Catherine Torres Almeida

    (Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE))

  • Celso H. L. Silva Junior

    (Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE))

  • Wesley A. Campanharo

    (Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE))

  • Joanna I. House

    (University of Bristol
    University of Bristol)

  • Stephen Sitch

    (University of Exeter)

  • Tristram C. Hales

    (Cardiff University)

  • Marcos Adami

    (National Institute for Space Research (INPE))

  • Liana O. Anderson

    (National Center for Monitoring and Early Warning of Natural Disaster (CEMADEN))

  • Luiz E. O. C. Aragão

    (Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE)
    University of Exeter)

Abstract

Tropical secondary forests sequester carbon up to 20 times faster than old-growth forests. This rate does not capture spatial regrowth patterns due to environmental and disturbance drivers. Here we quantify the influence of such drivers on the rate and spatial patterns of regrowth in the Brazilian Amazon using satellite data. Carbon sequestration rates of young secondary forests (

Suggested Citation

  • Viola H. A. Heinrich & Ricardo Dalagnol & Henrique L. G. Cassol & Thais M. Rosan & Catherine Torres Almeida & Celso H. L. Silva Junior & Wesley A. Campanharo & Joanna I. House & Stephen Sitch & Tristr, 2021. "Large carbon sink potential of secondary forests in the Brazilian Amazon to mitigate climate change," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22050-1
    DOI: 10.1038/s41467-021-22050-1
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    Cited by:

    1. Zhang, Yajuan & Zhang, Lijin & Wang, Huan & Wang, Yueyao & Ding, Jiaqi & Shen, Jiashu & Wang, Zheng & Liu, Yinglu & Liang, Chenyu & Li, Shuangcheng, 2022. "Reconstructing deforestation patterns in China from 2000 to 2019," Ecological Modelling, Elsevier, vol. 465(C).
    2. Cai Li & Luyu Li & Jiaqi Zheng & Jizhi Wang & Yi Yuan & Zezhong Lv & Yinghao Wei & Qihang Han & Jiatong Gao & Wenhao Liu, 2022. "China’s Public Firms’ Attitudes towards Environmental Protection Based on Sentiment Analysis and Random Forest Models," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    3. João Paulo Bispo Santos & João Paulo Romanelli & Fernando Ravanini Gardon & Pedro Medrado Krainovic & Angélica Faria de Resende & Lukas Rodrigues Souza & Daniel Piotto & Ricardo Ribeiro Rodrigues, 2023. "Multifunctional Forest Restoration in Brazil: A Critical Analysis of the Trends and Knowledge Gaps in the Scientific Literature," Sustainability, MDPI, vol. 15(22), pages 1-21, November.

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