Radboud Repository

      View Item 
      •   Radboud Repository
      • Collections Radboud University
      • Datasets
      • View Item
      •   Radboud Repository
      • Collections Radboud University
      • Datasets
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.
      BrowseAll of RepositoryCollectionsDepartmentsDate IssuedAuthorsTitlesDocument typeThis CollectionDepartmentsDate IssuedAuthorsTitlesDocument type
      StatisticsView Item Statistics

      Plant functional and taxonomic diversity in European grasslands along climatic gradients

      Find Full text
      Creators
      Boonman, C.C.F.
      Date of Archiving
      2021
      Archive
      DANS EASY
      DOI
      https://doi.org/10.17026/dans-zme-cqaf
      Related publications
      Plant functional and taxonomic diversity in European grasslands along climatic gradients  
      Publication type
      Dataset
      Please use this identifier to cite or link to this item: https://hdl.handle.net/2066/232973   https://hdl.handle.net/2066/232973
      Display more detailsDisplay less details
      Organization
      Environmental Science
      Audience(s)
      Biology
      Languages used
      English
      Key words
      Functional richness; Effect size; taxonomic richness; temperature range; minimum temperature; precipitation seasonality; annual precipitation
      Abstract
      Data information to the paper Boonman, C.C.F. et al. (2021) Plant functional and taxonomic diversity in European grasslands along climatic gradients. Journal of Vegetation Science. DOI: 10.1111/jvs.13027 Here, we discuss how both functional and taxonomic diversity of European grasslands change along temperature and precipitation gradients. We compare trends and discuss functional richness effect sizes which correct functional richness values for local taxonomic richness. Specifically, assessed the variation along a minimum temperature, annual temperature range, annual precipitation, and precipitation seasonality gradients. Species occurence data was collected from the European Vegetation Archive. This data was linked to trait data from the TRY database. We used species averages of specific leaf area (SLA), leaf nitrogen concentration (LNC), plant height, seed mass, specific root length (SRL), and rooting depth (i.e., not including intraspecific trait variation). Gaps of missing trait data was filled using the ‚mice‘ function of the mice package. Per plant community, taxnomic richness (number of species) was calculated. Further, the functional richness was calculated as the convexhull volume (see paper for more details). And effect sizes were calculated with a null model which randomly shuffles species trait values in the trait dataset but retains species’ trait combinations. For the European analysis, we used the average of the original functional richness values and effect size values in one grid cell (~1 km2) if more than one plot was sampled. This resulted in 19,179 data points and grid cells that were regressed along climate variables using a multiple general additive modelling approach. The data files include diversity data, longitude and latitude, and various climate variables. In addition, we included two Rscripts that calculate the functional richness effect size. The README.txt describes all files in more detail.
      This item appears in the following Collection(s)
      • Datasets [1281]
      • Faculty of Science [32287]
       
      •  Upload Full Text
      •  Terms of Use
      •  Notice and Takedown
      Bookmark and Share
      Admin login