Predicting habitat suitability of selected Meloidae species and future potential refugia: A case study from inner western Anatolia
Data files
Feb 24, 2026 version files 300.26 MB
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File_S1_Alosimus_chalybaeus_layers.kmz
15.46 MB
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File_S2_Mylabris_olivieri_layers.kmz
10.98 MB
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File_S3_Mylabris_quadripunctata_layers.kmz
82.83 MB
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File_S4_Mylabris_variabilis_layers.kmz
54.69 MB
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File_S5_Meloe_autumnalis_layers.kmz
37.88 MB
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File_S6_Nemognatha_chrysomelina_layers.kmz
27.21 MB
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File_S7_Zonitis_flava_layers.kmz
49.76 MB
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File_S8_Stenodera_caucasica_layers.kmz
21.45 MB
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README.md
5.43 KB
Abstract
This dataset contains habitat suitability predictions and surface range change (SRC) maps for eight blister beetle species (Meloidae) from Inner Western Anatolia. Ecological niche models were constructed under four environmental predictor sets and projected to both current and future climate conditions (SSP2-4.5 and SSP5-8.5) using bioclimatic and topographic variables (Set 2). KMZ files provide continuous habitat suitability outputs (0–1000 scale) and SRC visualizations for each species, enabling spatial exploration of potential gains, losses, and stable areas across time intervals. These files support spatial visualization, comparative analyses, and reuse in future ecological, conservation, and biogeographical studies.
Dataset DOI: 10.5061/dryad.2547d7x5k
Description of the data and file structure
This dataset contains ecological niche model (ENM) outputs for eight blister beetle species (Coleoptera: Meloidae). The data were generated to evaluate current habitat suitability models and assess potential future range changes under two climate change scenarios (SSP2-4.5 and SSP5-8.5).
The models were calibrated using four sets of prediction variables and projected to multiple time intervals. The resulting outputs include continuous habitat suitability layers (0–1000 scale) and surface range change (SRC) maps showing potential range gains, losses, and stable areas for each species.
The dataset supports spatial visualisation, comparative biogeographic analyses, and reuse in ecological, evolutionary, and conservation-focused studies.
Files and variables
File: File_S1_Alosimus_chalybaeus_layers.kmz
Description: Alosimus chalybaeus — ENM outputs under current (SET 1-4) and future climate scenarios based on Set 2 (bioclimatic + topographic variables). Includes habitat suitability maps (0–1000 scale) and surface range change (SRC) maps for each time interval.
File: File_S2_Mylabris_olivieri_layers.kmz
Description: Mylabris oliveiri — ENM outputs under current (SET 1-4) and future climate scenarios based on Set 2 (bioclimatic + topographic variables). Includes habitat suitability maps (0–1000 scale) and surface range change (SRC) maps for each time interval.
File: File_S3_Mylabris_quadripunctata_layers.kmz
Description: Mylabris quadripunctata — ENM outputs under current (SET 1-4) and future climate scenarios based on Set 2 (bioclimatic + topographic variables). Includes habitat suitability maps (0–1000 scale) and surface range change (SRC) maps for each time interval.
File: File_S4_Mylabris_variabilis_layers.kmz
Description: Mylabris variabilis — ENM outputs under current (SET 1-4) and future climate scenarios based on Set 2 (bioclimatic + topographic variables). Includes habitat suitability maps (0–1000 scale) and surface range change (SRC) maps for each time interval.
File: File_S5_Meloe_autumnalis_layers.kmz
Description: Meloe autumnalis — ENM outputs under current (SET 1-4) and future climate scenarios based on Set 2 (bioclimatic + topographic variables). Includes habitat suitability maps (0–1000 scale) and surface range change (SRC) maps for each time interval.
File: File_S6_Nemognatha_chrysomelina_layers.kmz
Description: Nemognatha chrysomelina — ENM outputs under current (SET 1-4) and future climate scenarios based on Set 2 (bioclimatic + topographic variables). Includes habitat suitability maps (0–1000 scale) and surface range change (SRC) maps for each time interval.
File: File_S7_Zonitis_flava_layers.kmz
Description: Zonitis flava — ENM outputs under current (SET 1-4) and future climate scenarios based on Set 2 (bioclimatic + topographic variables). Includes habitat suitability maps (0–1000 scale) and surface range change (SRC) maps for each time interval.
File: File_S8_Stenodera_caucasica_layers.kmz
Description: Stenodera caucasica — ENM outputs under current (SET 1-4) and future climate scenarios based on Set 2 (bioclimatic + topographic variables). Includes habitat suitability maps (0–1000 scale) and surface range change (SRC) maps for each time interval.
Code/software
The KMZ files included in this dataset can be viewed using Google Earth Pro. Raster processing, layer rendering, legend generation, and KMZ packaging were performed in R (version 4.4.1) using the following open-source packages:
terra v.1.8-60 (raster handling and reprojection)
xml2 v.1.4.0 (KML structure generation)
png v.0.1-8 and magick v.2.9.0 (image creation and optimization)
fs v.1.6.4 and zip v.2.3.3 (file operations and KMZ compression)
The R workflow used to generate the KMZ files consisted of:
(1) reprojecting model outputs to WGS84,
(2) converting suitability and SRC rasters into transparent PNG/WebP overlays,
(3) creating legends,
(4) assembling overlays into structured KML folders, and
(5) exporting the final KMZ for each species.
The ecological niche models themselves (BIOMOD2 framework in R) were not included in this dataset, as the deposited files only contain visualization-ready outputs.
Access information
Other publicly accessible locations of the data:
- No other publicly accessible copies of this dataset exist.
Data was derived from the following sources:
- WorldClim v2.1 bioclimatic variables at 30 arc-second resolution (https://www.worldclim.org/)
- Topographic predictors from EarthEnv (elevation, slope, roughness, TPI, TRI) Derived from 90 m SRTM4.1dev products (Amatulli et al., 2018) and resampled to 30 arc-seconds (https://www.earthenv.org/topography)
- Copernicus Global Land Cover data (100 m resolution), resampled to 30 arc-seconds Provides 23-class Land Cover Classification System (LCCS) categories (Buchhorn et al., 2020) (https://land.copernicus.eu/global/products/lc)