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Loss of Amazon Rainforest Resilience: Author Contributions

by EScholar: Electronic Academic Papers for ScholarsMay 2nd, 2024

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The Amazon rainforest (ARF) is threatened by deforestation and climate change, which could trigger a regime shift to a savanna-like state.

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This paper is available on arxiv under CC BY-SA 4.0 DEED license.

Authors:

(1) Lana L. Blaschke, Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany, Potsdam Institute for Climate Impact Research, Potsdam, Germany and [email protected];

(2) Da Nian, Potsdam Institute for Climate Impact Research, Potsdam, Germany;

(3) Sebastian Bathiany, Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany, and Potsdam Institute for Climate Impact Research, Potsdam, Germany;

(4) Maya Ben-Yami, Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany, and Potsdam Institute for Climate Impact Research, Potsdam, Germany;

(5) Taylor Smith, Institute of Geosciences, University of Potsdam, 14476 Potsdam, Germany;

(6) Chris A. Boulton, Global Systems Institute, University of Exeter, EX4 4QE Exeter, UK ;

(7) Niklas Boers, Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany, Potsdam Institute for Climate Impact Research, Potsdam, Germany, Global Systems Institute, University of Exeter, EX4 4QE Exeter, UK, and Department of Mathematics, University of Exeter, EX4 4QF Exeter, UK.

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AUTHOR CONTRIBUTIONS

LB, CB, and NB conceived and designed the research. LB conducted the analysis and prepared a first version of the manuscript. All authors discussed results, drew conclusions and edited the manuscript.

SUPPLEMENTARY INFORMATION

Supplementary figures accompany this paper in the supplementary material.

ACKNOWLEDGMENTS

This is TiPES Contribution #223; the Tipping Points in the Earth System (TiPES) project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 820970. Furthermore, this work has received funding from the VolkswagenStiftung, from the Marie Sklodowska-Curie grant agreement No. 956170, by the Federal Ministry of Education and Research under grant No. 01LS2001A, the DFG Grant SM 710/2-1, by the DARPA AI-assisted Climate Tipping point Modelling (ACTM) project (No. HR0011-22-9-0031) and the Bezos Earth Fund (No. XXX).

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