Research Paper
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Article title
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Abstract
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Keywords
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Introduction
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Materials and methods
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Study scope and species occurrence data
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Environmental predictors and species distribution modelling (SDMs)
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Chorotype delineation at coarse global scale: ecological-geographical clustering
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From clusters to species-chorotype relationships
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Pattern mining on enriched associations
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Regional refinement of chorotypes
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Chorological characterisation of vegetation types
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Results
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Data filtering, environmental predictors and SDMs summary
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Global macro-chorotypes
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Global meso-chorotypes
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Chorological signatures of Socotran vegetation types
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Discussion
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Global signal and regional refinement
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Agreement and departures from classical regionalisations
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Environmental filters and historical legacies
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Interpreting enrichment and multi-cluster patterns
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Chorotypes and vegetation classification
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Limitations and robustness
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Implications and outlook
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Conclusions
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Data availability
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Author contributions
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Artificial Intelligence (AI) use
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Acknowledgments
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References
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E-mail and ORCID
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Supplementary materials
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