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Exposure to excessive heat and impacts on labour productivity linked to cumulative CO(2) emissions

Cumulative CO(2) emissions are a robust predictor of mean temperature increase. However, many societal impacts are driven by exposure to extreme weather conditions. Here, we show that cumulative emissions can be robustly linked to regional changes of a heat exposure indicator, as well as the resulti...

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Autores principales: Chavaillaz, Yann, Roy, Philippe, Partanen, Antti-Ilari, Da Silva, Laurent, Bresson, Émilie, Mengis, Nadine, Chaumont, Diane, Matthews, H. Damon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757059/
https://www.ncbi.nlm.nih.gov/pubmed/31548555
http://dx.doi.org/10.1038/s41598-019-50047-w
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author Chavaillaz, Yann
Roy, Philippe
Partanen, Antti-Ilari
Da Silva, Laurent
Bresson, Émilie
Mengis, Nadine
Chaumont, Diane
Matthews, H. Damon
author_facet Chavaillaz, Yann
Roy, Philippe
Partanen, Antti-Ilari
Da Silva, Laurent
Bresson, Émilie
Mengis, Nadine
Chaumont, Diane
Matthews, H. Damon
author_sort Chavaillaz, Yann
collection PubMed
description Cumulative CO(2) emissions are a robust predictor of mean temperature increase. However, many societal impacts are driven by exposure to extreme weather conditions. Here, we show that cumulative emissions can be robustly linked to regional changes of a heat exposure indicator, as well as the resulting socioeconomic impacts associated with labour productivity loss in vulnerable economic sectors. We estimate historical and future increases in heat exposure using simulations from eight Earth System Models. Both the global intensity and spatial pattern of heat exposure evolve linearly with cumulative emissions across scenarios (1% CO(2), RCP4.5 and RCP8.5). The pattern of heat exposure at a given level of global temperature increase is strongly affected by non-CO(2) forcing. Global non-CO(2) greenhouse gas emissions amplify heat exposure, while high local emissions of aerosols could moderate exposure. Considering CO(2) forcing only, we commit ourselves to an additional annual loss of labour productivity of about 2% of total GDP per unit of trillion tonne of carbon emitted. This loss doubles when adding non-CO(2) forcing of the RCP8.5 scenario. This represents an additional economic loss of about 4,400 G$ every year (i.e. 0.59 $/tCO(2)), varying across countries with generally higher impact in lower-income countries.
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spelling pubmed-67570592019-10-02 Exposure to excessive heat and impacts on labour productivity linked to cumulative CO(2) emissions Chavaillaz, Yann Roy, Philippe Partanen, Antti-Ilari Da Silva, Laurent Bresson, Émilie Mengis, Nadine Chaumont, Diane Matthews, H. Damon Sci Rep Article Cumulative CO(2) emissions are a robust predictor of mean temperature increase. However, many societal impacts are driven by exposure to extreme weather conditions. Here, we show that cumulative emissions can be robustly linked to regional changes of a heat exposure indicator, as well as the resulting socioeconomic impacts associated with labour productivity loss in vulnerable economic sectors. We estimate historical and future increases in heat exposure using simulations from eight Earth System Models. Both the global intensity and spatial pattern of heat exposure evolve linearly with cumulative emissions across scenarios (1% CO(2), RCP4.5 and RCP8.5). The pattern of heat exposure at a given level of global temperature increase is strongly affected by non-CO(2) forcing. Global non-CO(2) greenhouse gas emissions amplify heat exposure, while high local emissions of aerosols could moderate exposure. Considering CO(2) forcing only, we commit ourselves to an additional annual loss of labour productivity of about 2% of total GDP per unit of trillion tonne of carbon emitted. This loss doubles when adding non-CO(2) forcing of the RCP8.5 scenario. This represents an additional economic loss of about 4,400 G$ every year (i.e. 0.59 $/tCO(2)), varying across countries with generally higher impact in lower-income countries. Nature Publishing Group UK 2019-09-23 /pmc/articles/PMC6757059/ /pubmed/31548555 http://dx.doi.org/10.1038/s41598-019-50047-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chavaillaz, Yann
Roy, Philippe
Partanen, Antti-Ilari
Da Silva, Laurent
Bresson, Émilie
Mengis, Nadine
Chaumont, Diane
Matthews, H. Damon
Exposure to excessive heat and impacts on labour productivity linked to cumulative CO(2) emissions
title Exposure to excessive heat and impacts on labour productivity linked to cumulative CO(2) emissions
title_full Exposure to excessive heat and impacts on labour productivity linked to cumulative CO(2) emissions
title_fullStr Exposure to excessive heat and impacts on labour productivity linked to cumulative CO(2) emissions
title_full_unstemmed Exposure to excessive heat and impacts on labour productivity linked to cumulative CO(2) emissions
title_short Exposure to excessive heat and impacts on labour productivity linked to cumulative CO(2) emissions
title_sort exposure to excessive heat and impacts on labour productivity linked to cumulative co(2) emissions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757059/
https://www.ncbi.nlm.nih.gov/pubmed/31548555
http://dx.doi.org/10.1038/s41598-019-50047-w
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