Data for "A new chapter of the Japanese beetle invasion saga: predicting suitability from long-invaded areas to inform surveillance strategies in Europe"

DOI

Predictors, Popillia japonica presence and pseudo-absence raster data used in a species distribution model, and environmental suitability for Popillia japonica predicted in the publication Borner L, Martinetti D, Poggi S (2023) A new chapter of the Japanese beetle invasion saga: predicting suitability from long-invaded areas to inform surveillance strategies in Europe. Entomologia Generalis. (https://doi.org/10.1127/entomologia/2023/2073).

This dataset includes: - a raster file of Popillia japonica presences distribution, gathered using citizen science platforms and standardized surveys, - a raster file of Coleoptera species distribution, gathered through citizen science and used as pseudo-absences in models, - a raster stack of predictors used in modelling (climate, human-related variables, land use, soil properties etc.), - all the information (script and data) needed to produce maps describing environmental suitability for the Japanese beetle.

The raster files' extent is global, spatial resolution of raster files is 4km x 4km. Detailed metada are provided in each folder detailing each file.

This research was supported by the IPM-Popillia project, funded by the European Union Horizon 2020 research and innovation programme under grant agreement No 861852

Identifier
DOI https://doi.org/10.57745/GM2YVL
Related Identifier https://doi.org/10.1127/entomologia/2023/2073
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/GM2YVL
Provenance
Creator Borner, Leyli; Martinetti, Davide; Poggi, Sylvain
Publisher Recherche Data Gouv
Contributor BORNER, Leyli; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2023
Funding Reference European Union Horizon 2020 research and innovation programme 861852
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact BORNER, Leyli (INRAE)
Representation
Resource Type Dataset
Format application/zip; text/plain
Size 798118; 2884491565; 2385; 61928501
Version 2.2
Discipline Geosciences