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" } ], "https://w3id.org/sciencelive/o/terms/hasDiscipline": [ { "@id": "http://www.wikidata.org/entity/Q7150" } ], "https://w3id.org/sciencelive/o/terms/hasMethodologyDescription": [ { "@value": " The Python re-implementation of Soroye et al. 2020's pipeline (weatherxbiodiversity, https://doi.org/10.5281/zenodo.19756173) was applied to a regional dataset of Bombus occurrences for Spain and Portugal retrieved from the GBIF Occurrence Download API (https://doi.org/10.15468/dl.3frmsq, 36,560 records, georeferenced, no geospatial issues, accessed 2026-04-25). The cleaning pipeline applies Soroye's species filter, IUCN exclusion list, the same baseline-vs-recent presence/absence construction on a 100 km cylindrical equal-area grid, and per-species Thermal Exposure Index (TEI) and \n Precipitation Exposure Index (PEI) computed from CRU TS 3.24.01 monthly climate. The mixed-effects logistic GLMM is fit with the species random effect and the same fixed-effect interactions as the original (thermal-position baseline + delta + their interaction, precipitation analogues, baseline × baseline interaction, delta × delta interaction). The GBIF download was minted specifically for this study via \n notebooks/01b_gbif_download_doi.py in the same repository. " } ], "https://w3id.org/sciencelive/o/terms/hasScopeDescription": [ { "@value": " The complete claim — that local extirpation rate in bumble bee species rises with the frequency at which local temperatures exceed species-specific historically observed thermal tolerances — is tested on an independent regional dataset of bumble bee occurrences for the Iberian Peninsula (Spain and Portugal). 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