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 environm...
Main Authors: | , , , , , , |
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Format: | Dataset |
Language: | unknown |
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Zenodo
2023
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.7548065 https://zenodo.org/record/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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