Multisectoral climate impact hotspots in a warming world

Piontek, Franziska, Müller, Cristoph, Pugh, Thomas A. M., Clark, Douglas B, Deryng, Delphine, Elliot, Joshua, Colón-González, Felipe J, Flörke, Martina, Folberth, Christian, Franssen, Wietse, Frieler, Katja, Friend, Andrew D, Gosling, Simon N, Hemming, Deborah, Khabarov, Nikolay, Kim, Hyungjun, Lomas, Mark R, Masaki, Yoshimitsu, Mengel, Matthias, Morse, Andrew P, Neumann, Kathleen, Nishina, Kazuya, Ostberg, Sebastian, Pavlick, Ryan, Ruane, Alex C, Schewe, Jacob, Schmid, Erwin, Stacke, Tobias, Tang, Qiuhong, Tessler, Zachary D, Tompkins, Adrian M, Warszawski, Lila, Wisser, Dominik and Schellnhuber, Hans Joachim (2014) Multisectoral climate impact hotspots in a warming world. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 111 (9). 3233–3238. ISSN 1091-6490

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The impacts of global climate change on different aspects of humanity’s diverse life-support systems are complex and often difficult to predict. To facilitate policy decisions on mitigation and adaptation strategies, it is necessary to understand, quantify, and synthesize these climate-change impacts, taking into account their uncertainties. Crucial to these decisions is an understanding of how impacts in different sectors overlap, as overlapping impacts increase exposure, lead to interactions of impacts, and are likely to raise adaptation pressure. As a first step we develop herein a framework to study coinciding impacts and identify regional exposure hotspots. This framework can then be used as a starting point for regional case studies on vulnerability and multifaceted adaptation strategies. We consider impacts related to water, agriculture, ecosystems, and malaria at different levels of global warming. Multisectoral overlap starts to be seen robustly at a mean global warming of 3 °C above the 1980–2010 mean, with 11% of the world population subject to severe impacts in at least two of the four impact sectors at 4 °C. Despite these general conclusions, we find that uncertainty arising from the impact models is considerable, and larger than that from the climate models. In a low probability-high impact worst-case assessment, almost the whole inhabited world is at risk for multisectoral pressures. Hence, there is a pressing need for an increased research effort to develop a more comprehensive understanding of impacts, as well as for the development of policy measures under existing uncertainty.

Item Type: Article
Uncontrolled Keywords: coinciding pressures,differential climate impacts,isi-mip,sdg 3 - good health and well-being,sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School: Faculty of Science > School of Environmental Sciences
UEA Research Groups: University of East Anglia Schools > Faculty of Science > Tyndall Centre for Climate Change Research
Faculty of Science > Research Centres > Tyndall Centre for Climate Change Research
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Depositing User: Pure Connector
Date Deposited: 19 Dec 2015 07:15
Last Modified: 14 Jun 2023 12:17
DOI: 10.1073/pnas.1222471110

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