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Causal feedbacks in climate change

Author

Listed:
  • Egbert H. van Nes

    (Environmental Sciences Group, Wageningen University)

  • Marten Scheffer

    (Environmental Sciences Group, Wageningen University)

  • Victor Brovkin

    (Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg)

  • Timothy M. Lenton

    (Earth System Science Group, College of Life and Environmental Sciences, University of Exeter)

  • Hao Ye

    (Scripps Institution of Oceanography, University of California)

  • Ethan Deyle

    (Scripps Institution of Oceanography, University of California)

  • George Sugihara

    (Scripps Institution of Oceanography, University of California)

Abstract

Although the correlation between greenhouse gases and temperature is well documented, it is difficult to show causality from the data. This study uses insight from dynamical systems theory to show that internal Earth system mechanisms largely control climate dynamics, rather than orbital forcing, and temperature does have a reinforcing feedback on greenhouse-gas concentrations.

Suggested Citation

  • Egbert H. van Nes & Marten Scheffer & Victor Brovkin & Timothy M. Lenton & Hao Ye & Ethan Deyle & George Sugihara, 2015. "Causal feedbacks in climate change," Nature Climate Change, Nature, vol. 5(5), pages 445-448, May.
    • Handle: RePEc:nat:natcli:v:5:y:2015:i:5:d:10.1038_nclimate2568
    DOI: 10.1038/nclimate2568
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    Citations

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    Cited by:

    1. Frossard, Victor & Rimet, Frédéric & Perga, Marie-Elodie, 2018. "Causal networks reveal the dominance of bottom-up interactions in large, deep lakes," Ecological Modelling, Elsevier, vol. 368(C), pages 136-146.
    2. Nicolas Schneider & Avik Sinha, 2023. "Better clean or efficient? Panel regressions," Climatic Change, Springer, vol. 176(8), pages 1-24, August.
    3. Andreas Koutsodendris & Vasilis Dakos & William J. Fletcher & Maria Knipping & Ulrich Kotthoff & Alice M. Milner & Ulrich C. Müller & Stefanie Kaboth-Bahr & Oliver A. Kern & Laurin Kolb & Polina Vakhr, 2023. "Atmospheric CO2 forcing on Mediterranean biomes during the past 500 kyrs," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Chun-Wei Chang & Takeshi Miki & Hao Ye & Sami Souissi & Rita Adrian & Orlane Anneville & Helen Agasild & Syuhei Ban & Yaron Be’eri-Shlevin & Yin-Ru Chiang & Heidrun Feuchtmayr & Gideon Gal & Satoshi I, 2022. "Causal networks of phytoplankton diversity and biomass are modulated by environmental context," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Javier, Prince Joseph Erneszer A. & Liponhay, Marissa P. & Dajac, Carlo Vincienzo G. & Monterola, Christopher P., 2022. "Causal network inference in a dam system and its implications on feature selection for machine learning forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    6. Chun-Wei Chang & Stephan B. Munch & Chih-hao Hsieh, 2022. "Comments on identifying causal relationships in nonlinear dynamical systems via empirical mode decomposition," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    7. Meihui Li & Na Luo & Yi Lu, 2017. "Biomass Energy Technological Paradigm (BETP): Trends in This Sector," Sustainability, MDPI, vol. 9(4), pages 1-28, April.

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