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Improved estimates of forest cover and loss in the Brazilian Amazon in 2000–2017

Author

Listed:
  • Yuanwei Qin

    (University of Oklahoma)

  • Xiangming Xiao

    (University of Oklahoma)

  • Jinwei Dong

    (Chinese Academy of Sciences)

  • Yao Zhang

    (University of Oklahoma)

  • Xiaocui Wu

    (University of Oklahoma)

  • Yosio Shimabukuro

    (Brazilian National Institute for Space Research)

  • Egidio Arai

    (Brazilian National Institute for Space Research)

  • Chandrashekhar Biradar

    (International Center for Agricultural Research in the Dry Areas)

  • Jie Wang

    (University of Oklahoma)

  • Zhenhua Zou

    (University of Oklahoma)

  • Fang Liu

    (Chinese Academy of Sciences)

  • Zheng Shi

    (University of Oklahoma
    Nanjing Forestry University)

  • Russell Doughty

    (University of Oklahoma)

  • Berrien Moore

    (University of Oklahoma)

Abstract

The data, information and knowledge on the tropical forest area and its dynamics in the Brazilian Amazon remain contentious. We use time-series satellite images to quantify annual forest area, loss and gain in the Brazilian Amazon during 2000–2017. We find that forest area was ~15% higher than the estimate by the official Brazilian forest dataset (PRODES), but annual forest-loss rates were twice the PRODES estimates (~0.027 × 106 km2 yr–1 during 2001–2016). Forest-loss rates increased again after 2013. The El Niño and drought year (2015/2016) drove large forest area loss. The cumulative forest-loss area within the protected areas (which include ~50% of forests in the region) was ~11% of the total forest-loss area, which highlights the roles of protected areas in forest conservation.

Suggested Citation

  • Yuanwei Qin & Xiangming Xiao & Jinwei Dong & Yao Zhang & Xiaocui Wu & Yosio Shimabukuro & Egidio Arai & Chandrashekhar Biradar & Jie Wang & Zhenhua Zou & Fang Liu & Zheng Shi & Russell Doughty & Berri, 2019. "Improved estimates of forest cover and loss in the Brazilian Amazon in 2000–2017," Nature Sustainability, Nature, vol. 2(8), pages 764-772, August.
    • Handle: RePEc:nat:natsus:v:2:y:2019:i:8:d:10.1038_s41893-019-0336-9
    DOI: 10.1038/s41893-019-0336-9
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    Cited by:

    1. Yuanwei Qin & Xiangming Xiao & Fang Liu & Fabio Sa e Silva & Yosio Shimabukuro & Egidio Arai & Philip Martin Fearnside, 2023. "Forest conservation in Indigenous territories and protected areas in the Brazilian Amazon," Nature Sustainability, Nature, vol. 6(3), pages 295-305, March.
    2. 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).
    3. Nascibem, Fábio Gabriel & Da Silva, Ramon Felipe Bicudo & Viveiro, Alessandra Aparecida & Gonçalves Junior, Oswaldo, 2023. "The Role of Private Reserves of Natural Heritage (RPPN) on natural vegetation dynamics in Brazilian biomes," Land Use Policy, Elsevier, vol. 132(C).
    4. Apurba Roy & Ilan Noy, 2023. "Impact of extratropical cyclones, floods, and wildfires on firms’ financial performance in New Zealand," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(4), pages 493-574, October.

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