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Code and data from: Global patterns in plant environmental breadths

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DataONE2025-02-17 更新2025-04-26 收录
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The latitudinal gradient in plant diversity is one of the most famous patterns in ecology. It is hypothesised that narrow niche breadths and restricted geographic ranges in the tropics allow more species to coexist with minimal overlap, relative to high-latitude regions. Although a wealth of studies have investigated these questions across different regions and taxonomic groups, these have consistently yielded contradictory results, leading to the continued persistence of numerous ecological explanations. Here, using a global occurrence database containing over 100,000 plant species, we provide the first globally standardised investigation into the geographic relationships among latitudinal range, environmental breath, and latitudinal median. We find limited evidence for a global latitudinal gradient in species’ ranges and environmental breadths, with results varying between hemispheres and along latitude within each hemisphere. In agreement with previous observations, we show consisten..., , , # Global patterns in plant environmental breadths The contents of the zip file are: **1_original_data** The folder containing the raw data backbone_taxonomy: Includes the GBIF backbone taxonomy with all information, reduced to the Drosera genus (sample) backbone: Includes taxonomy files Taxon.csv: Taxonomy of the Drosera genus — taxonID: unique identifier — acceptedNameUsageID: unique identifier based on GBIF taxonomy — phylum/kingdom/family/specificEpithet: the taxonomic designation of that species — scientificName: the taxonomic name and authority — taxonomicStatus: whether that species is accepted, or a synonym of another species based on the backbone eml.xml: Metadata sample_envs: Includes .tiff files of the environmental variables. As a sample, they are reduced to a resolution of 1 degree (~100 x 100 km) — CHELSA_adj_1 to CHELSA_adj_19: Climatic variables from the CHELSA dataset, representing bioclimatic factors such as temperature, precipitation, and seasonality, fol...

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2025-02-18
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