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More than one quarter of Africa’s tree cover is found outside areas previously classified as forest

Author

Listed:
  • Florian Reiner

    (University of Copenhagen)

  • Martin Brandt

    (University of Copenhagen)

  • Xiaoye Tong

    (University of Copenhagen)

  • David Skole

    (Michigan State University)

  • Ankit Kariryaa

    (University of Copenhagen
    University of Copenhagen)

  • Philippe Ciais

    (CEA/CNRS/UVSQ/Université Paris Saclay)

  • Andrew Davies

    (Harvard University)

  • Pierre Hiernaux

    (Pastoralisme Conseil)

  • Jérôme Chave

    (Université Paul Sabatier)

  • Maurice Mugabowindekwe

    (University of Copenhagen)

  • Christian Igel

    (University of Copenhagen)

  • Stefan Oehmcke

    (University of Copenhagen
    University of Copenhagen)

  • Fabian Gieseke

    (University of Copenhagen
    University of Münster)

  • Sizhuo Li

    (University of Copenhagen
    Université Paris Saclay)

  • Siyu Liu

    (University of Copenhagen)

  • Sassan Saatchi

    (California Institute of Technology)

  • Peter Boucher

    (Harvard University)

  • Jenia Singh

    (Harvard University)

  • Simon Taugourdeau

    (Université Montpellier)

  • Morgane Dendoncker

    (Université catholique de Louvain)

  • Xiao-Peng Song

    (University of Maryland)

  • Ole Mertz

    (University of Copenhagen)

  • Compton J. Tucker

    (NASA Goddard Space Flight Center)

  • Rasmus Fensholt

    (University of Copenhagen)

Abstract

The consistent monitoring of trees both inside and outside of forests is key to sustainable land management. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated basis. Here we use the PlanetScope nanosatellite constellation, which delivers global very high-resolution daily imagery, to map both forest and non-forest tree cover for continental Africa using images from a single year. Our prototype map of 2019 (RMSE = 9.57%, bias = −6.9%). demonstrates that a precise assessment of all tree-based ecosystems is possible at continental scale, and reveals that 29% of tree cover is found outside areas previously classified as tree cover in state-of-the-art maps, such as in croplands and grassland. Such accurate mapping of tree cover down to the level of individual trees and consistent among countries has the potential to redefine land use impacts in non-forest landscapes, move beyond the need for forest definitions, and build the basis for natural climate solutions and tree-related studies.

Suggested Citation

  • Florian Reiner & Martin Brandt & Xiaoye Tong & David Skole & Ankit Kariryaa & Philippe Ciais & Andrew Davies & Pierre Hiernaux & Jérôme Chave & Maurice Mugabowindekwe & Christian Igel & Stefan Oehmcke, 2023. "More than one quarter of Africa’s tree cover is found outside areas previously classified as forest," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37880-4
    DOI: 10.1038/s41467-023-37880-4
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    References listed on IDEAS

    as
    1. Markus Reichstein & Gustau Camps-Valls & Bjorn Stevens & Martin Jung & Joachim Denzler & Nuno Carvalhais & Prabhat, 2019. "Deep learning and process understanding for data-driven Earth system science," Nature, Nature, vol. 566(7743), pages 195-204, February.
    2. Yuanwei Qin & Xiangming Xiao & Jean-Pierre Wigneron & Philippe Ciais & Martin Brandt & Lei Fan & Xiaojun Li & Sean Crowell & Xiaocui Wu & Russell Doughty & Yao Zhang & Fang Liu & Stephen Sitch & Berri, 2021. "Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon," Nature Climate Change, Nature, vol. 11(5), pages 442-448, May.
    3. Martin Brandt & Compton J. Tucker & Ankit Kariryaa & Kjeld Rasmussen & Christin Abel & Jennifer Small & Jerome Chave & Laura Vang Rasmussen & Pierre Hiernaux & Abdoul Aziz Diouf & Laurent Kergoat & Ol, 2020. "An unexpectedly large count of trees in the West African Sahara and Sahel," Nature, Nature, vol. 587(7832), pages 78-82, November.
    4. Z. S. Venter & M. D. Cramer & H.-J. Hawkins, 2018. "Drivers of woody plant encroachment over Africa," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    5. C. Wade Ross & Niall P. Hanan & Lara Prihodko & Julius Anchang & Wenjie Ji & Qiuyan Yu, 2021. "Woody-biomass projections and drivers of change in sub-Saharan Africa," Nature Climate Change, Nature, vol. 11(5), pages 449-455, May.
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    Cited by:

    1. Martin Brandt & Dimitri Gominski & Florian Reiner & Ankit Kariryaa & Venkanna Babu Guthula & Philippe Ciais & Xiaoye Tong & Wenmin Zhang & Dhanapal Govindarajulu & Daniel Ortiz-Gonzalo & Rasmus Fensho, 2024. "Severe decline in large farmland trees in India over the past decade," Nature Sustainability, Nature, vol. 7(7), pages 860-868, July.
    2. Luisa F. Gomez-Ossa & German Sanchez-Torres & John W. Branch-Bedoya, 2023. "Land Cover Classification in the Antioquia Region of the Tropical Andes Using NICFI Satellite Data Program Imagery and Semantic Segmentation Techniques," Data, MDPI, vol. 8(12), pages 1-23, December.
    3. Forrester, David I. & England, Jacqueline R. & Paul, Keryn I. & Roxburgh, Stephen H., 2024. "Sensitivity analysis of the FullCAM model: Context dependency and implications for model development to predict Australia's forest carbon stocks," Ecological Modelling, Elsevier, vol. 489(C).

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