Data for "Local snow and fluvial conditions drive taxonomic, functional and phylogenetic plant diversity in tundra"
These data and code are associated with the publication Rissanen et al. (2023) "Local snow and fluvial conditions drive taxonomic, functional and phylogenetic plant diversity in tundra" published in Oikos (doi:10.1111/oik.09998). Modelling data contain both diversity metrics and environmen...
| Main Authors: | , , , , , , |
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| Format: | Dataset |
| Language: | unknown |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://zenodo.org/record/7548065 https://doi.org/10.5281/zenodo.7548065 |
| Summary: | These data and code are associated with the publication Rissanen et al. (2023) "Local snow and fluvial conditions drive taxonomic, functional and phylogenetic plant diversity in tundra" published in Oikos (doi:10.1111/oik.09998). Modelling data contain both diversity metrics and environmental variables. Raster stack of the spatially continuous environmental predictors were used to produce spatial predictions of diversity variation. Provided R code was used to model diversity-environment relationships. The data and analyses are described in the linked publication. The data should be sited properly. |
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