DOI: 10.5061/dryad.2547d7x5k
title: Predicting habitat suitability of selected <em>Meloidae</em> species and future potential refugia: A case study from inner western Anatolia

description: 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.
description: # Predicting habitat suitability of selected *Meloidae* species and future
 potential refugia: A case study from inner western Anatolia Dataset DOI:
 [10.5061/dryad.2547d7x5k](https://doi.org/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/](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](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](https://land.copernicus.eu/global/products/lc))