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Multi-scale predictions of massive conifer mortality due to chronic temperature rise

Author

Listed:
  • N. G. McDowell

    (MS-J495, Los Alamos National Lab)

  • A. P. Williams

    (MS-J495, Los Alamos National Lab
    Lamont-Doherty Earth Observatory, Columbia University)

  • C. Xu

    (MS-J495, Los Alamos National Lab)

  • W. T. Pockman

    (University of New Mexico)

  • L. T. Dickman

    (MS-J495, Los Alamos National Lab)

  • S. Sevanto

    (MS-J495, Los Alamos National Lab)

  • R. Pangle

    (University of New Mexico)

  • J. Limousin

    (University of New Mexico)

  • J. Plaut

    (University of New Mexico)

  • D. S. Mackay

    (University at Buffalo)

  • J. Ogee

    (UMR 1391 ISPA, INRA-Bordeaux Sciences Agro)

  • J. C. Domec

    (UMR 1391 ISPA, INRA-Bordeaux Sciences Agro
    Nicholas School of the Environment, Duke University)

  • C. D. Allen

    (US Geological Survey, Fort Collins Science Center)

  • R. A. Fisher

    (National Center for Atmospheric Research)

  • X. Jiang

    (National Center for Atmospheric Research
    Present address: Department of Earth System Science, University of California, Irvine 92697, USA.)

  • J. D. Muss

    (MS-J495, Los Alamos National Lab)

  • D. D. Breshears

    (School of Natural Resources and the Environment, University of Arizona)

  • S. A. Rauscher

    (University of Delaware)

  • C. Koven

    (Lawrence Berkeley National Lab)

Abstract

Research integrating experimental data and modelling to improve representation of plant physiological thresholds infers largely temperature-driven loss of conifer trees by 2100 across the southwestern USA and much of the Northern Hemisphere.

Suggested Citation

  • N. G. McDowell & A. P. Williams & C. Xu & W. T. Pockman & L. T. Dickman & S. Sevanto & R. Pangle & J. Limousin & J. Plaut & D. S. Mackay & J. Ogee & J. C. Domec & C. D. Allen & R. A. Fisher & X. Jiang, 2016. "Multi-scale predictions of massive conifer mortality due to chronic temperature rise," Nature Climate Change, Nature, vol. 6(3), pages 295-300, March.
    • Handle: RePEc:nat:natcli:v:6:y:2016:i:3:d:10.1038_nclimate2873
    DOI: 10.1038/nclimate2873
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    Cited by:

    1. Guadagno, C.R. & Millar, D. & Lai, R. & Mackay, D.S. & Pleban, J.R. & McClung, C.R. & Weinig, C. & Wang, D.R. & Ewers, B.E., 2020. "Use of transcriptomic data to inform biophysical models via Bayesian networks," Ecological Modelling, Elsevier, vol. 429(C).
    2. William M. Hammond & A. Park Williams & John T. Abatzoglou & Henry D. Adams & Tamir Klein & Rosana López & Cuauhtémoc Sáenz-Romero & Henrik Hartmann & David D. Breshears & Craig D. Allen, 2022. "Global field observations of tree die-off reveal hotter-drought fingerprint for Earth’s forests," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. R. Alexander Thompson & Henry D. Adams & David D. Breshears & Adam D. Collins & L. Turin Dickman & Charlotte Grossiord & Àngela Manrique‐Alba & Drew M. Peltier & Michael G. Ryan & Amy M. Trowbridge & , 2023. "No carbon storage in growth-limited trees in a semi-arid woodland," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Liu, Qiuyu & Peng, Changhui & Schneider, Robert & Cyr, Dominic & Liu, Zelin & Zhou, Xiaolu & Kneeshaw, Daniel, 2021. "TRIPLEX-Mortality model for simulating drought-induced tree mortality in boreal forests: Model development and evaluation," Ecological Modelling, Elsevier, vol. 455(C).
    5. Sergio M. Vicente‐Serrano & Tim R. McVicar & Diego G. Miralles & Yuting Yang & Miquel Tomas‐Burguera, 2020. "Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(2), March.

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