Salvador Pueyo is a transdisciplinary (or undisciplined) researcher whose research priorities evolve quickly, seeking to contribute on time to the response to major global challenges. His early research focused on applying the physics of complexity to ecosystems, but he moved on to investigating manifold aspects of socio-ecological futures. He uses qualitative reflection, mathematical modeling and novel methods of data treatment. His results have been applied, e.g., by climatologists to define global greenhouse gas emission targets, by grassroots organizations to formally object to carbon credit for megadams in sensitive areas, or by ecologists to integrate information from worldwide ecosystem surveys. He has also worked on global risks such as megafires, pandemics, economic collapse or those introduced by artificial intelligence, always trying to find and emphasize alternative pathways. He is especially interested in contributing to a scientifically sound economics of degrowth. He obtained his PhD at the former Dept. of Ecology of the University of Barcelona, currently integrated in the Dept. of Evolutionary Biology, Ecology and Environmental Sciences, of which he is still a collaborator. He has also been a researcher at the National Institute for Research in the Amazon (INPA, Manaus, Amazonas, Brazil), the Dept. of Renewable Resources of the University of Alberta, the Science Park of Barcelona and the (now extinct) Catalan Institute of Climate Sciences (IC3). He is currently an independent scientist, and teaches at the Master of Political Ecology of the Autonomous University of Barcelona. He has published in top journals such as Science, Nature Climate Change, ELE, PNAS or GEB. He gave 65 speeches in the last 10 years, including invited presentations to the German Society of Physics, the American Geophysical Union and Catalan scientific associations of several fields, as well as talks for a great diversity of academic and nonacademic audiences. He has been involved in grassroots movements for long.
Full publications list: https://scholar.google.es/citations?user=-ELv5VgAAAAJ&hl=ca&oi=ao
Pueyo, S. 2020. Jevons’ paradox and a tax on aviation to prevent the next pandemic. SocArXiv, 12 May 2020. (Preprint). https://osf.io/preprints/socarxiv/vb5q3
Pueyo, S. 2019. Limits to green growth and the dynamics of innovation. arXiv:1904.09586 [econ.TH]. (Preprint). https://arxiv.org/abs/1904.09586
Pueyo, S. 2018. Growth, degrowth, and the challenge of artificial superintelligence. Journal of Cleaner Production 197: 1731-1736. http://dx.doi.org/10.1016/j.jclepro.2016.12.138 (Postprint: https://arxiv.org/abs/1905.04288 )
Pueyo, S. 2014. Ecological econophysics for degrowth. Sustainability 6: 3431-3483. https://ecoecophys.files.wordpress.com/2015/03/pueyo-2014.pdf
Pueyo, S. 2012. Solution to the paradox of climate sensitivity. Climatic Change 113: 163–179. https://doi.org/10.1007/s10584-011-0328-x
Fearnside, P.M. & Pueyo, S. 2012. Greenhouse-gas emissions from tropical dams. Nature Climate Change 2: 382–384. https://doi.org/10.1038/nclimate1540
Pueyo, S., Graça, P.M.L.A., Barbosa, R.I., Cots, R., Cardona, E. & Fearnside, P.M. 2010. Testing for criticality in ecosystem dynamics: the case of Amazonian rainforest and savanna fire. Ecology Letters 13: 793–802. https://doi.org/10.1111/j.1461-0248.2010.01497.x
Pueyo, S. 2007. Self-organised criticality and the response of wildland fires to climate change. Climatic Change 82: 131–161. https://doi.org/10.1007/s10584-006-9134-2
Pueyo, S., He, F. & Zillio, T. 2007. The maximum entropy formalism and the idiosyncratic theory of biodiversity. Ecology Letters 10: 1017–1028. https://doi.org/10.1111/j.1461-0248.2007.01096.x
Pueyo, S. 2006. Self-similarity in species-area relationship and in species abundance distribution. Oikos 112: 156-162 https://doi.org/10.1111/j.0030-1299.2006.14184.x [Errata in Oikos 115: 582, https://doi.org/10.1111/j.2006.0030-1299.13518.x ].
Pueyo, S. 2006. Diversity: between neutrality and structure. Oikos 112: 392–405.
Pueyo, S. 2003. Irreversibility and Criticality in the Biosphere. University of Barcelona, 399 p. http://hdl.handle.net/2445/35290