Impacts of land-use and land-cover changes on temperature-related mortality.

Deforestation Land-use and land-cover change Mortality Sustainable land use Temperature

Journal

Environmental epidemiology (Philadelphia, Pa.)
ISSN: 2474-7882
Titre abrégé: Environ Epidemiol
Pays: United States
ID NLM: 101719527

Informations de publication

Date de publication:
Dec 2024
Historique:
received: 21 02 2024
accepted: 08 08 2024
medline: 23 10 2024
pubmed: 23 10 2024
entrez: 23 10 2024
Statut: epublish

Résumé

Land-use and land-cover change (LULCC) can substantially affect climate through biogeochemical and biogeophysical effects. Here, we examine the future temperature-mortality impact for two contrasting LULCC scenarios in a background climate of low greenhouse gas concentrations. The first LULCC scenario implies a globally sustainable land use and socioeconomic development (sustainability). In the second LULCC scenario, sustainability is implemented only in the Organisation for Economic Cooperation and Development countries (inequality). Using the Multi-Country Multi-City (MCC) dataset on mortality from 823 locations in 52 countries and territories, we estimated the temperature-mortality exposure-response functions (ERFs). The LULCC and noLULCC scenarios were implemented in three fully coupled Earth system models (ESMs): Community Earth System Model, Max Planck Institute Earth System Model, and European Consortium Earth System Model. Next, using temperature from the ESMs' simulations and the estimated location-specific ERFs, we assessed the temperature-related impact on mortality for the LULCC and noLULCC scenarios around the mid and end century. Under sustainability, the multimodel mean changes in excess mortality range from -1.1 to +0.6 percentage points by 2050-2059 across all locations and from -1.4 to +0.5 percentage points by 2090-2099. Under inequality, these vary from -0.7 to +0.9 percentage points by 2050-2059 and from -1.3 to +2 percentage points by 2090-2099. While an unequal socioeconomic development and unsustainable land use could increase the burden of heat-related mortality in most regions, globally sustainable land use has the potential to reduce it in some locations. However, the total (cold and heat) impact on mortality is very location specific and strongly depends on the underlying climate change scenario due to nonlinearity in the temperature-mortality relationship.

Sections du résumé

Background UNASSIGNED
Land-use and land-cover change (LULCC) can substantially affect climate through biogeochemical and biogeophysical effects. Here, we examine the future temperature-mortality impact for two contrasting LULCC scenarios in a background climate of low greenhouse gas concentrations. The first LULCC scenario implies a globally sustainable land use and socioeconomic development (sustainability). In the second LULCC scenario, sustainability is implemented only in the Organisation for Economic Cooperation and Development countries (inequality).
Methods UNASSIGNED
Using the Multi-Country Multi-City (MCC) dataset on mortality from 823 locations in 52 countries and territories, we estimated the temperature-mortality exposure-response functions (ERFs). The LULCC and noLULCC scenarios were implemented in three fully coupled Earth system models (ESMs): Community Earth System Model, Max Planck Institute Earth System Model, and European Consortium Earth System Model. Next, using temperature from the ESMs' simulations and the estimated location-specific ERFs, we assessed the temperature-related impact on mortality for the LULCC and noLULCC scenarios around the mid and end century.
Results UNASSIGNED
Under sustainability, the multimodel mean changes in excess mortality range from -1.1 to +0.6 percentage points by 2050-2059 across all locations and from -1.4 to +0.5 percentage points by 2090-2099. Under inequality, these vary from -0.7 to +0.9 percentage points by 2050-2059 and from -1.3 to +2 percentage points by 2090-2099.
Conclusions UNASSIGNED
While an unequal socioeconomic development and unsustainable land use could increase the burden of heat-related mortality in most regions, globally sustainable land use has the potential to reduce it in some locations. However, the total (cold and heat) impact on mortality is very location specific and strongly depends on the underlying climate change scenario due to nonlinearity in the temperature-mortality relationship.

Identifiants

pubmed: 39439814
doi: 10.1097/EE9.0000000000000337
pii: EE-D-24-00024
pmc: PMC11495778
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e337

Informations de copyright

Copyright © 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest with regard to the content of this report.

Auteurs

Anton Orlov (A)

CICERO Center for International Climate Research, Oslo, Norway.

Steven J De Hertog (SJ)

Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium.
Department of Environment, Universiteit Gent, Q-ForestLab, Ghent, Belgium.

Felix Havermann (F)

Department of Geography, Ludwig-Maximilians-University of Munich, Munich, Germany.

Suqi Guo (S)

Department of Geography, Ludwig-Maximilians-University of Munich, Munich, Germany.

Iris Manola (I)

Vrije Universiteit Amsterdam, Institute for Environmental Studies, Amsterdam, Netherlands.

Quentin Lejeune (Q)

Climate Analytics, Berlin, Germany.

Carl-Friedrich Schleussner (CF)

Climate Analytics, Berlin, Germany.
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.

Wim Thiery (W)

Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium.

Julia Pongratz (J)

Department of Geography, Ludwig-Maximilians-University of Munich, Munich, Germany.
Max Planck Institute for Meteorology, Hamburg, Germany.

Florian Humpenöder (F)

Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.

Alexander Popp (A)

Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.
Faculty of Organic Agricultural Sciences, University of Kassel, Witzenhausen, Germany.

Kristin Aunan (K)

CICERO Center for International Climate Research, Oslo, Norway.

Ben Armstrong (B)

Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Dominic Royé (D)

Climate Research Foundation (FIC), Madrid, Spain.
CIBERESP, Madrid, Spain.

Ivana Cvijanovic (I)

Barcelona Institute for Global Health, Barcelona, Spain.

Eric Lavigne (E)

School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Environmental Health Science & Research Bureau, Health Canada, Ottawa, Canada.

Souzana Achilleos (S)

Department of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus.

Michelle Bell (M)

School of the Environment, Yale University, New Haven, Connecticut.
School of Health Policy and Management, College of Health Sciences, Korea University, Seoul, Republic of Korea.

Pierre Masselot (P)

Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Francesco Sera (F)

Department of Statistics, Computer Science and Applications "G. Parenti," University of Florence, Florence, Italy.

Ana Maria Vicedo-Cabrera (AM)

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland.

Antonio Gasparrini (A)

Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Malcolm N Mistry (MN)

Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Department of Economics, Ca' Foscari University of Venice, Italy.

Classifications MeSH