Data from: Predicted global redistribution of pyrophilous beetle Melanophila acuminata (Coleoptera: Buprestidae) under climate change
Data files
Sep 09, 2026 version files 222.45 MB
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model_parameters.txt
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README.md
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research_data.zip
222.45 MB
Abstract
The pyrophilous beetle Melanophila acuminata is a decomposer of freshly burned wood, playing a critical role in nutrient cycling within forest ecosystems. To investigate the impact of climate change on the global distribution of M. acuminata, this study employed MaxEnt modeling in conjunction with 22 environmental variables under current and future conditions (2050s and 2070s) to conduct a comparative analysis of its suitable habitats. After rational screening, a total of 795 global occurrence records and 10 selected key environmental variables were incorporated into the MaxEnt model, which demonstrated excellent predictive accuracy (AUC ≥ 0.919). The results indicate that the mean temperature of the coldest quarter (Bio11) and the precipitation of the driest month (Bio14) are the primary factors limiting the distribution of M. acuminata. Under current climate conditions, its core suitable areas are concentrated in Northern Europe and the border region between the United States and Canada. Under the high-emission scenario (SSP5-8.5) in the 2070s, the core suitable area is projected to contract by nearly 36%, with the centroid shifting northwestward to higher elevation and an increase in habitat fragmentation. This trend of contraction is closely associated with the species' highly specialized infrared sensory ability, which rely on habitat connectivity. Based on the predicted suitable habitats of M. acuminata in 2050s and 2070s, Future conservation efforts should focus on core areas in Northern Europe and Canada.
Data for: Predicted Global Redistribution of Pyrophilous Beetle Melanophila acuminata (Coleoptera: Buprestidae) Under Climate Change
Dataset DOI: 10.5061/dryad.r4xgxd2v0
- Files in this Dryad dataset (CC0 1.0 Universal Public Domain).
This Dryad record contains two files:
- "README.txt" (this file) – description of the dataset and how to obtain the underlying data.
- "model_parameters.txt" – model parameter settings used in MaxEnt (version 3.4.4), including regularization multiplier (0.5), feature combination (hinge and product features), training/test split (75%/25%), maximum iterations (5000), output type (Logistic), and AUC evaluation criteria.
- "research_data.zip" – compressed archive containing processed empirical dataset outputs. Inside this archive: Melanophila acuminata_trimdupes_grid.csv: 795 de‑duplicated species occurrence records for Melanophila acuminata.crop to the extent data (folder): Cropped MaxEnt habitat‑suitability raster outputs (GeoTIFF *.tif) for multiple future SSP climate scenarios and time periods.
Due to licensing restrictions, raw climate source rasters are not deposited here. Users can obtain them directly from the original sources as described below.
- Original data sources and how to obtain them
2.1 Species occurrence records of Melanophila acuminata (global)
- Source: Global Biodiversity Information Facility (GBIF, https://www.gbif.org/), China National Knowledge Infrastructure (CNKI, https://www.cnki.net/), and National Animal Collection Resource Center (NACR, http://museum.ioz.ac.cn/).
- How to obtain: Search for Melanophila acuminata on each website and download all available occurrence records.
- Filtering step: Remove duplicate records, exclude ambiguous or low-precision localities, and perform spatial thinning at 2.5 arc-minute resolution using ENMTools.
- Final dataset: Contains 795 filtered global occurrence records with two columns: "longitude" and "latitude" (WGS84, decimal degrees).
- Note: The data used in this study are publicly available under the CC BY-NC-SA 4.0 license (for GBIF data) or other open-access terms.
2.2 Current and future bioclimatic variables
- Source: WorldClim version 2.1 – https://worldclim.org
- Spatial resolution: 2.5 arc-minutes
- How to obtain: Download global bioclimatic variables from WorldClim.
- Variables selected for this study (after correlation analysis):
- bio01 (Annual Mean Temperature, °C)
- bio03 (Isothermality)
- bio05 (Maximum Temperature of Warmest Month, °C)
- bio08 (Mean Temperature of Wettest Quarter, °C)
- bio10 (Mean Temperature of Warmest Quarter, °C)
- bio11 (Mean Temperature of Coldest Quarter, °C)
- bio14 (Precipitation of Driest Month, mm)
- gm_lc (Global Land Cover Type)
- gm_ve (Global Vegetation / Percent Tree Cover)
- elev (Elevation, m)
- For future projections: CMIP6 (BCC-CSM2-MR), Shared Socioeconomic Pathways SSP1-2.6, SSP2-4.5, SSP5-8.5, time periods: 2050s (2041-2060) and 2070s (2061-2080). File format: ASCII grid.
- Software used in this study
- MaxEnt (version 3.4.4) – species distribution modeling
- ENMTools (version 5.26) – spatial thinning and variable correlation analysis
- R (version 4.3.2) – data cleaning and statistical analysis
- ArcGIS (version 10.2) – spatial data processing and mapping
- SDM Toolbox (version 2.4) – area statistics calculation
- Acknowledgements: We thank the Global Biodiversity Information Facility (GBIF), China National Knowledge Infrastructure (CNKI), and the National Animal Collection Resource Center (NACR) for making occurrence data of Melanophila acuminata openly available. We also thank WorldClim for bioclimatic data, the Global Maps Project (https://globalmaps.github.io/) for land cover and vegetation data, and EarthEnv (https://www.earthenv.org/) for elevation data.
