Ensemble species distribution models for 69 marine non-indigenous species in European waters: current and future scenarios.
Résumé fourni par la source
Data and model outputs for ensemble species distribution modeling of 69 marine non-indigenous species across European watersThis repository contains the input data, model outputs, and performance metrics associated with [Author et al. (in review/in press)] available at [DOI to be added upon publication]. The dataset supports ensemble species distribution modeling analyses of marine non-indigenous species under current and future climate scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5 for 2100).Repository structure:Code and scriptsARMS-marine-alien-SDM-main.zip: Complete R workflow scripts archived from GitHub for full reproducibility of all analyses (https://github.com/JustinePa/ARMS-marine-alien-SDM/tree/main)Raw occurrence downloadsraw_occurrences_downloads/gbif/: Zipped raw GBIF downloads (one per species) containing dataset identifiers for data provenanceraw_occurrences_downloads/obis/: Raw OBIS downloads (one per species) containing dataset identifiers for data provenanceInput datainput_data/final_occurrences_thinned_curated/: Spatially thinned and quality-controlled occurrence records used for modeling (one file per species)input_data/environmental_data/: Environmental predictor layers for current conditions (myExpl_shelf.tif) and future projections (ssp126_shelf_2100.tif, ssp245_shelf_2100.tif, ssp585_shelf_2100.tif)Model outputsraw_outputs/: Zipped folders containing species-level ensemble model projections (one .tif per species) for:raw_EMwmean_*: Ensemble mean weighted by evaluation metrics (current, SSP1-2.6, SSP2-4.5, SSP5-8.5)raw_EMcv_*: Ensemble coefficient of variation indicating prediction uncertainty (current, SSP1-2.6, SSP2-4.5, SSP5-8.5)raw_EMca_*: Ensemble committee averaging (current, SSP1-2.6, SSP2-4.5, SSP5-8.5)Multi-species richness patternsstacked_EMwmean_allScenarios/: Combined suitability projections across all 69 modeled species, normalized to 0-1 scale:stack_mean_norm01_current.tif: Current conditionsstack_mean_norm01_ssp126.tif: SSP1-2.6 scenario (2100)stack_mean_norm01_ssp245.tif: SSP2-4.5 scenario (2100)stack_mean_norm01_ssp585.tif: SSP5-8.5 scenario (2100)Model performance assessmentmodel_performance/individual_models_performance_assessment/: Evaluation metrics for individual modeling algorithms (one file per species)model_performance/ensemble_models_performance_assessment/: Evaluation metrics for ensemble model projections (one file per species)This dataset enables full reproducibility of the modeling workflow and provides species-level projections for researchers and marine resource managers interested in individual species distributions beyond the multi-species patterns presented in the associated publication.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Contrôle bibliographique ouvert
Institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.