Climate-driven modelled densities of Aedes mosquitoes in Southeast Asia and future projections (doi:10.23708/NYX0NV)

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Part 2: Study Description
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Document Description

Citation

Title:

Climate-driven modelled densities of Aedes mosquitoes in Southeast Asia and future projections

Identification Number:

doi:10.23708/NYX0NV

Distributor:

DataSuds

Date of Distribution:

2022-02-15

Version:

1

Bibliographic Citation:

Bonnin, Lucas; Annelise, Tran, 2022, "Climate-driven modelled densities of Aedes mosquitoes in Southeast Asia and future projections", https://doi.org/10.23708/NYX0NV, DataSuds, V1

Study Description

Citation

Title:

Climate-driven modelled densities of Aedes mosquitoes in Southeast Asia and future projections

Identification Number:

doi:10.23708/NYX0NV

Authoring Entity:

Bonnin, Lucas (UMR Entropie - Univ. La Réunion, IRD, CNRS, Ifremer, UNC - France)

Annelise, Tran (CIRAD)

Distributor:

DataSuds

Access Authority:

Bonnin, Lucas

Depositor:

Bonnin, Lucas

Date of Deposit:

2022-02-08

Holdings Information:

https://doi.org/10.23708/NYX0NV

Study Scope

Keywords:

Earth and Environmental Sciences, Medicine, Health and Life Sciences, Aedes Mosquitoes, Climate change impacts

Topic Classification:

Health: generalities, Geography, environment and climatology, Bioclimatology

Abstract:

<p> Description of the model<br> </p> <p> The model is described in Bonnin et al, <i>Predicting the effects of climate change on dengue vectors densities in Southeast Asia through process-based modeling</i>, submitted<br> The original model was developped by Tran et al 2020 <br> Tran, A. et al. <i>Complementarity of empirical and process-based approaches to modelling mosquito population dynamics with Aedes albopictus as an example—Application to the development of an operational mapping tool of vector populations.</i> PLOS ONE 15, e0227407 (2020).<br> </p> <p> The mosquito model was not designed to provide an absolute value of adult mosquito density (e.g. as a nb mosquitoes/Ha) but rather a relative index serving as a way to estimate spatial and temporal variations of adult mosquito density. This index of density has no unit.<br> Two mosquito species: Aedes aegypti and Aedes albopictus -> main vectors of arboviruses such as the Dengue virus (DENV).<br> Model outputs represent seasonal variations of adult mosquito densities of a typical year representative of a period (contemporary period, 2021-2040, 2041-2060, 2061-2080, 2081-2100), at a monthly resolution.<br> Model outputs are given at a spatial resolution of 1/6 degrees (~16-18km) for an area covering the following countries: Thailand, Vietnam, Lao PDR, Myanmar, Cambodia<br> Model outputs representative of the contemporary period rely on gridded observation of climate variables (temperature and rainfall) from the WorldClim data repository (https://www.worldclim.org/data/cmip6/cmip6climate.html) and Species Distribution Modelling (cf Bonnin et al)<br> Projected model outputs rely on gridded projections of climate variables from the WorldClim data repository, available for:<br> &nbsp;&nbsp;&nbsp;&nbsp;- 9 climate models: BCC-CSM2-MR, CNRM-CM6-1, CanESM5, IPSL-CM6A-LR, MIROC-ES2L, MIROC6, MRI-ESM2-0, CNRM-ESM2-1, GFDL-ESM4 + WCmodels_mean: an average of the outputs of all these climate models<br> &nbsp;&nbsp;&nbsp;&nbsp;- 4 scenarios of greenhouse gas emissions, the Shared Socio-Economic Pathways from the CMIP6: SSP1 2.6, SSP2 4.5, SSP3 7.0 and SSP5 8.5<br> &nbsp;&nbsp;&nbsp;&nbsp;- 4 periods: 2021-2040, 2041-2060, 2061-2080, 2081-2100<br> The density index was designed to vary between 0 and 1 over the spatial extent of the study for the contemporary period. Density indices representative of future projections can exceed the value of 1.<br> Model outputs data corresponding to future projections were also presented as anomalies, i.e. a ratio of projected to contemporary density indices. Values lesser than 1 correspond to a future decrease of densities. Values greater than 1 correspond to a future decrease of densities. An anomaly ratio of 2 correspond to a situation with twice the mosquito density in the future, relative to the contemporary situation.<br> </p> <p> Description of the model output data<br> </p> <p> Model outputs are available as Geotiff rasters, with 12 bands corresponding to the 12 calendar months. <br> Geotiff files are stored in the following folders:<br> &nbsp;&nbsp;&nbsp;&nbsp;> contemporary: This folder contains the following geotiffs:<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;- {species}_density_index.tif: Seasonal variations of the density index of the corresponding species (12 bands)<br> &nbsp;&nbsp;&nbsp;&nbsp;> projections: This folder contains the following geotiffs, describing future anomalies of density index<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;- {species}_anomaly_ratio_{scenario}_{period}_{model}.tif<br> </p> <p> species codes: aegypti, albopictus<br> scenario codes: ssp126, ssp245, ssp370, ssp585<br> period codes: 2021-2040, 2041-2060, 2061-2080, 2081-2100<br> model codes: BCC-CSM2-MR, CNRM-CM6-1, CanESM5, IPSL-CM6A-LR, MIROC-ES2L, MIROC6, MRI-ESM2-0, CNRM-ESM2-1, GFDL-ESM4<br> </p>

Time Period:

2022-02-08-

Country:

Thailand

Kind of Data:

Process-produced data

Methodology and Processing

Sources Statement

Data Access

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Aedes_model_SEA_readme.txt

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aegypti_density_index.tif

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