Global Distribution of

Aedes climate change climate models environmental indicators forecasting risk factors statistical model

Journal

Insects
ISSN: 2075-4450
Titre abrégé: Insects
Pays: Switzerland
ID NLM: 101574235

Informations de publication

Date de publication:
03 Jan 2023
Historique:
received: 18 11 2022
revised: 17 12 2022
accepted: 30 12 2022
entrez: 20 1 2023
pubmed: 21 1 2023
medline: 21 1 2023
Statut: epublish

Résumé

Arboviral mosquito vectors are key targets for the surveillance and control of vector-borne diseases worldwide. In recent years, changes to the global distributions of these species have been a major research focus, aimed at predicting outbreaks of arboviral diseases. In this study, we analyzed a global scenario of climate change under regional rivalry to predict changes to these species' distributions over the next century. Using occurrence data from VectorMap and environmental variables (temperature and precipitation) from WorldClim v. 2.1, we first built fundamental niche models for both species with the boosted regression tree modelling approach. A scenario of climate change on their fundamental niche was then analyzed. The shared socioeconomic pathway scenario 3 (regional rivalry) and the global climate model Geophysical Fluid Dynamics Laboratory Earth System Model v. 4.1 (GFDL-ESM4.1; gfdl.noaa.gov) were utilized for all analyses, in the following time periods: 2021-2040, 2041-2060, 2061-2080, and 2081-2100. Outcomes from these analyses showed that future climate change will affect

Identifiants

pubmed: 36661976
pii: insects14010049
doi: 10.3390/insects14010049
pmc: PMC9860750
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Council for Scientific and Technological Development
ID : 307432/2019-0/
Organisme : São Paulo Research Foundation
ID : 2021/06669-6
Organisme : Armed Forces Health Surveillance Division - Global Emerging Infections Surveillance
ID : P0065_22_WR and P0050_23_WR

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Auteurs

Gabriel Z Laporta (GZ)

Graduate Research and Innovation Program, Centro Universitario FMABC, Santo André 09060-870, SP, Brazil.

Alexander M Potter (AM)

One Health Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
Walter Reed Biosystematics Unit, Smithsonian Museum Support Center, Suitland, MD 20746, USA.
Department of Entomology, Smithsonian Institution-National Museum of Natural History (NMNH), Washington, DC 20560, USA.

Janeide F A Oliveira (JFA)

Graduate Research and Innovation Program, Centro Universitario FMABC, Santo André 09060-870, SP, Brazil.
Department of Civil Engineering, School of Engineering, Campus Crajubar, Universidade Regional do Cariri, Crato 63105-010, CE, Brazil.

Brian P Bourke (BP)

One Health Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
Walter Reed Biosystematics Unit, Smithsonian Museum Support Center, Suitland, MD 20746, USA.
Department of Entomology, Smithsonian Institution-National Museum of Natural History (NMNH), Washington, DC 20560, USA.

David B Pecor (DB)

One Health Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
Walter Reed Biosystematics Unit, Smithsonian Museum Support Center, Suitland, MD 20746, USA.
Department of Entomology, Smithsonian Institution-National Museum of Natural History (NMNH), Washington, DC 20560, USA.

Yvonne-Marie Linton (YM)

One Health Branch, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
Walter Reed Biosystematics Unit, Smithsonian Museum Support Center, Suitland, MD 20746, USA.
Department of Entomology, Smithsonian Institution-National Museum of Natural History (NMNH), Washington, DC 20560, USA.

Classifications MeSH