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Observational constraints indicate risk of drying in the Amazon basin

Author

Listed:
  • Hideo Shiogama

    (National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.)

  • Seita Emori

    (Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
    Atmosphere and Ocean Research Institute, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan.)

  • Naota Hanasaki

    (National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.)

  • Manabu Abe

    (Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.)

  • Yuji Masutomi

    (Center for Environmental Science in Saitama, 914 Kamitanadare, Kazo, Saitama 347-0115, Japan.)

  • Kiyoshi Takahashi

    (Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.)

  • Toru Nozawa

    (National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
    Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan.)

Abstract

Climate warming due to human activities will be accompanied by hydrological cycle changes. Economies, societies and ecosystems in South America are vulnerable to such water resource changes. Hence, water resource impact assessments for South America, and corresponding adaptation and mitigation policies, have attracted increased attention. However, substantial uncertainties remain in the current water resource assessments that are based on multiple coupled Atmosphere Ocean General Circulation models. This uncertainty varies from significant wetting to catastrophic drying. By applying a statistical method, we characterized the uncertainty and identified global-scale metrics for measuring the reliability of water resource assessments in South America. Here, we show that, although the ensemble mean assessment suggested wetting across most of South America, the observational constraints indicate a higher probability of drying in the Amazon basin. Thus, over-reliance on the consensus of models can lead to inappropriate decision making.

Suggested Citation

  • Hideo Shiogama & Seita Emori & Naota Hanasaki & Manabu Abe & Yuji Masutomi & Kiyoshi Takahashi & Toru Nozawa, 2011. "Observational constraints indicate risk of drying in the Amazon basin," Nature Communications, Nature, vol. 2(1), pages 1-7, September.
  • Handle: RePEc:nat:natcom:v:2:y:2011:i:1:d:10.1038_ncomms1252
    DOI: 10.1038/ncomms1252
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    Cited by:

    1. Jianzhuang Pang & Huilan Zhang, 2023. "Global map of a comprehensive drought/flood index and analysis of controlling environmental factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 267-293, March.
    2. Yamagata, Yoshiki & Murakami, Daisuke & Seya, Hajime, 2015. "A comparison of grid-level residential electricity demand scenarios in Japan for 2050," Applied Energy, Elsevier, vol. 158(C), pages 255-262.
    3. Daisuke Murakami & Yoshiki Yamagata, 2019. "Estimation of Gridded Population and GDP Scenarios with Spatially Explicit Statistical Downscaling," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    4. Irina Melnikova & Tokuta Yokohata & Akihiko Ito & Kazuya Nishina & Kaoru Tachiiri & Hideo Shiogama, 2024. "Emergent constraints on future Amazon climate change-induced carbon loss using past global warming trends," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

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