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Persistent Identifier
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doi:10.60507/FK2/LA6LJW |
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Publication Date
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2025-06-13 |
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Title
| Data for Modeling the potential distribution of Wesselsbron, Sindbis, and Middelburg viruses and their vectors in Africa under future climatic and land-use changes |
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Author
| Nabatanzi, Maureen (University of Bonn) - ORCID: https://orcid.org/0000-0002-9801-4210 |
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Point of Contact
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Use email button above to contact.
Nabatanzi, Maureen (University of Bonn) |
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Description
| This dataset comprises ecological variables and species presence points used to model the current and future potential distribution of Wesselsbron, Sindbis, and Middelburg viruses and five mosquito vectors (Aedes circumluteolus, Aedes mcintoshi, Culex univittatus, Culex pipiens and Mansonia Africana). Ecological data include 19 Bioclimatic variables, Normalized Difference Vegetation Index, Built-Up areas, Settlement model grid, Human population, Forested areas, Livestock density, and Croplands. Two time periods were selected, current (reference year 2015) and future (2021 – 2040); current bioclimatic comprised data collected over 1970 – 2000. For the future, we utilized the Intergovernmental Panel on Climate Change’s Shared Socioeconomic Pathways (SSPs), which are projections of future greenhouse gas emissions and climate. We chose SSP2-4.5 for moderate and SSP5-8.5 for severe conditions. Based on the Coupled Model Intercomparison Project Phase 6, we selected two Global Climate Models (GCM), IPSL - CM6A - LR and HadGEM - GC31 – LL. Therefore, per GCM, we extracted ecological data for the two SSPs for the period 2021 – 2040. Presence points comprise coordinates of locations of samples from which the species were previously identified. (2025-04-09) |
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Subject
| Agricultural Sciences; Earth and Environmental Sciences; Medicine, Health and Life Sciences |
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Keyword
| Arbovirus
vector
species distribution
land-use
climate-change
model |
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Language
| English |
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Contributor
| Data Collector : Selina Graff |
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Funding Information
| German Research Foundation (DFG): Project number 458328858 |
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Depositor
| Nabatanzi, Maureen |
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Deposit Date
| 2025-04-09 |
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Time Period
| Start Date: 1954-01-01 ; End Date: 2024-09-19 |
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Date of Collection
| Start Date: 1954-01-01 ; End Date: 2024-09-19 |
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Data Type
| Coordinates; Raster images |
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Software
| R, Version: 4.4.1 |
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Data Source
| Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios. doi:10.1038/s41597-020-00669-x; Coupled Model Intercomparison Project Phase 6 (CMIP6), Future climate, 30 seconds spatial resolution. https://www.worldclim.org/data/cmip6/cmip6_clim30s.html; MODIS/Terra Vegetation Indices Monthly L3 Global 1km SIN Grid V061. Fick, S. E., & Hijmans, R. J. (2017).; WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. 37(12), 4302-4315. doi:https://doi.org/10.1002/joc.5086; MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V061. https://doi.org/10.5067/MODIS/MCD12Q1.061; Global Human Settlement Layer: Population and Built-Up Estimates, and Degree of Urbanization Settlement Model Grid. https://doi.org/10.7927/h4154f0w; GLW 4: Gridded Livestock Density (Global - 2015 - 10 km) [mapDigital]. https://data.apps.fao.org/catalog/iso/15f8c56c-5499-45d5-bd89-59ef6c026704; GLW 4: Gridded Livestock Density (Global - 2020 - 10 km) [mapDigital]. https://data.apps.fao.org/catalog/iso/9d1e149b-d63f-4213-978b-317a8eb42d02; Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. doi:10.1038/s43016-021-00429-z; Wang, X., Meng, X., & Long, Y. (2022). Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways. In: figshare.; National Center for Biotechnology Information, NCBI Virus [Internet]. National Library of Medicine. 2024. Available from: https://www.ncbi.nlm.nih.gov/labs/virus/vssi/#/virus?SeqType_s=Nucleotide. |
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Documentation and Access to Sources
| Free to access and download |
