Data Provider Contact Details *
* Name Till J. Deilmann
* Email till.jonathan.deilmann@uni-jena.de
* Affiliation Institute of Ecology and Evolution, Friedrich Schiller University Jena
* Country Germany
Role *
Data_creator true
Data_manager true
Data_owner
Primary_contact true
Research Group *
* Research_group Other-specify
Other-specify PhenObs associated, FSU Jena, biodiversity of plants
Dataset *
* Project_or_workshop_or_thesis_title Habitat conditions filter stronger for functional traits than for phenology in herbaceous species
* Dataset_title Data on phenology and functional traits of 16 herbaceous plant species from botanical gardens and semi-natural grasslands, and respective environmental conditions
* Short_abstract This dataset contains data on weekly phenological observations, derived phenological stages, and measured functional traits of 16 herbaceous species occurring in semi-dry and mesophilic grassland sites as well as in the Botanical garden Jena in 2020. In each site, we also measured environmental parameters and conducted vegetation surveys. The R code used to analyse the data is also included.
* Keywords phenology, plant functional traits, habitat, semi-dry grassland, mesophilic grassland, environment, Jena, botanical garden, intraspecific, interspecific, herbaceous plant species
* Data_access_policy Open (CC BY 4.0)
Extensive_description_of_the_dataset We selected 16 herbaceous species occurring in (i) semi-dry grasslands, (ii) mesophilic grasslands and (iii) the botanical garden Jena (Central Germany) to investigate the influence of habitat conditions on both inter- and intraspecific patterns in plant phenology and functional traits. Six species occurred in every habitat. We weekly monitored phenology from April to October 2020, and characterized all populations with respect to whole plant, leaf and floral traits, and abiotic site conditions. The primary data contains seven files with data, and a metadata file named "README_Deilmann_etal_2022_metadata.csv" in which the variables in all other files is descripted. The file names are as follows: Deilmann_etal_2022_environmental_conditions.csv Deilmann_etal_2022_functional_traits.csv Deilmann_etal_2022_phenological_traits.csv Deilmann_etal_2022_phenology.csv Deilmann_etal_2022_temperature_humidity.csv Deilmann_etal_2022_vegetation_surveys.csv Deilmann_etal_2022_species_names.csv The R_code folder contains Scripts for the different parts of the analysis: - Boosted_Regression_Trees.R - Functional_Traits.R - Ordination.R - Phenological_Stages.R - Phenology_over_the_year.R All files in the primary data are encoded as UTF-8 csv-files.
Data_origin Field Survey
Other-specify
Status_of_the_data_collection Completed
Persons Associated With Dataset ( 1 )
Name Christine Römermann
Email christine.roemermann@uni-jena.de
Affiliation Institute of Ecology and Evolution, Friedrich Schiller University Jena
Country Germany
Role
Data_creator
Data_manager
Data_owner true
Primary_contact
Persons Associated With Dataset ( 2 )
Name Josephine Ulrich
Email josephine.ulrich@uni-jena.de
Affiliation Institute of Ecology and Evolution, Friedrich Schiller University Jena
Country Germany
Role
Data_creator true
Data_manager
Data_owner
Primary_contact
Habitat
Terrestrial true
Freshwater
Marine
Taxonomic Scope
Animalia
Plantae true
Fungi
Bacteria
Virus
Microorganism
Temporal Cover
Date of first Record
Year 2020
Month April
Day 1
Date of last Record
Year 2020
Month October
Day 31
Spatial Cover
Coverage Local
Locality_names Jena
Country Germany
Additional Information
How_to_cite_dataset Deilmann, T. J., Römermann, C., & Ulrich, J. (2024). Data on phenology and functional traits of 16 herbaceous plant species from botanical gardens and semi-natural grasslands, and respective environmental conditions (Version 1.0) [Dataset]. iDiv Data Repository. https://doi.org/10.25829/idiv.3523-53oyej
Publications_based_on_this_dataset Deilmann, T. J., Ulrich, J., & Römermann, C. (2024). Habitat conditions filter stronger for functional traits than for phenology in herbaceous species. Ecology and Evolution, 14, e11505. https://doi.org/10.1002/ece3.11505
Projects_that_are_related_to_this_dataset
Comments