Evidence map›Paper›PMID 39439814›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2024

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

Anton Orlov, Steven J De Hertog, Felix Havermann, Suqi Guo, Iris Manola, Quentin Lejeune, Carl-Friedrich Schleussner, Wim Thiery, Julia Pongratz, Florian Humpenöder and 14 more

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Anton OrlovCICERO Center for International Climate Research, Oslo, Norway.ORCID https://orcid.org/0000-0003-3670-597X
Steven J De HertogDepartment of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium.ORCID https://orcid.org/0000-0001-5733-4632
Felix HavermannDepartment of Geography, Ludwig-Maximilians-University of Munich, Munich, Germany.
Suqi GuoDepartment of Geography, Ludwig-Maximilians-University of Munich, Munich, Germany.
Iris ManolaVrije Universiteit Amsterdam, Institute for Environmental Studies, Amsterdam, Netherlands.
Quentin LejeuneClimate Analytics, Berlin, Germany.
Carl-Friedrich SchleussnerClimate Analytics, Berlin, Germany.
Wim ThieryDepartment of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium.ORCID https://orcid.org/0000-0002-5183-6145
Julia PongratzDepartment of Geography, Ludwig-Maximilians-University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-0372-3960
Florian HumpenöderPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID https://orcid.org/0000-0003-2927-9407
Alexander PoppPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID https://orcid.org/0000-0001-9500-1986
Kristin AunanCICERO Center for International Climate Research, Oslo, Norway.
Ben ArmstrongDepartment of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Dominic RoyéClimate Research Foundation (FIC), Madrid, Spain.ORCID https://orcid.org/0000-0002-5516-6396
Ivana CvijanovicBarcelona Institute for Global Health, Barcelona, Spain.ORCID https://orcid.org/0000-0002-1738-7745
Eric LavigneSchool of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada.ORCID https://orcid.org/0000-0001-6146-9839
Souzana AchilleosDepartment of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus.
Michelle BellSchool of the Environment, Yale University, New Haven, Connecticut.ORCID https://orcid.org/0000-0002-3965-1359
Pierre MasselotEnvironment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-7326-1290
Francesco SeraDepartment of Statistics, Computer Science and Applications "G. Parenti," University of Florence, Florence, Italy.ORCID https://orcid.org/0000-0002-8890-6848
Ana Maria Vicedo-CabreraInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Antonio GasparriniEnvironment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-2271-3568
Malcolm N MistryEnvironment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-3345-6197
Multi-Country Multi-City (MCC) Collaborative Research Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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: 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: 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: 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.

Indexed as

DeforestationLand-use and land-cover changeMortalitySustainable land useTemperature

Identifiers

PMID39439814
PMCPMC11495778

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.