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openSenseMap: Sensor Box HE Peter-Lenné-Schule senseBox4

Das ist eine senseBox der Humboldt Explorers. Weitere Informationen unter: https://www.humboldt-explorers.de/

openSenseMap: Sensor Box HE Peter-Lenné-Schule senseBox1

Das ist eine senseBox der Humboldt Explorers. Weitere Informationen unter: https://www.humboldt-explorers.de/

openSenseMap: Sensor Box HE Peter-Lenné-Schule senseBox8

Das ist eine senseBox der Humboldt Explorers. Weitere Informationen unter: https://www.humboldt-explorers.de/

openSenseMap: Sensor Box HE Peter-Lenné-Schule senseBox5

Das ist eine senseBox der Humboldt Explorers. Weitere Informationen unter: https://www.humboldt-explorers.de/

openSenseMap: Sensor Box BU mit digitalen Tools senseBox8

openSenseMap: Sensor Box BU mit digitalen Tools senseBox6

openSenseMap: Sensor Box BU mit digitalen Tools senseBox7

openSenseMap: Sensor Box BU mit digitalen Tools senseBox1

Synthesis data on plant community composition, plant traits and ecosystem properties from the Jena Main experiment

Data on plant communities (biomass and relative cover of all target species), plant traits (41 different traits, measured on 59 species), and 42 ecosystem properties/functions, measured between 2003 and 2012 in the Jena Main Biodiversity experiment. In floodplain grasslands of the Saale river, near Jena (Germany) 78 20x20 m grassland plots were set up, in which combinations of 1, 2, 4, 8 or 16 species were sown, from a species pool of 60. Thereby, the aim was to create a gradient in plant species richness and functional composition. In each year from 2003-2012, relative cover (in %) of each target species was estimated within 3x3 m subplots. In addition, plant biomass was measured in both spring and summer. In addition, we compiled trait data for 59 of the 60 sown species, based on a combination of existing literature, pot experiments and measurements in the Jena Main Biodiversity experiment monoculture (1-species) plots. Data on 41 traits was collected. Finally, we measured in 41 different ecosystem functions in the Jena Main Biodiversity experiment. Each ecosystem function was measured in at least 3 different years between 2003 and 2012. The "R2.model.random.text[x]" (where x is a number from 1 to 40) are secondary data files, and the outcome of statistical models. In these, 100 times a random subset of 1 to 40 (out of the 41) plant traits were analysed as predictors of the 42 ecosystem functions, in order to assess how the proportion of variance in ecosystem functioning explained by traits (R2 values) depends on the number of traits analysed.

Vegetation survey of plant species richness and cover in managed grasslands of central Germany, summer of 2013

Vegetation relevés were carried out at five of the Terrestrial Environmental Observatories (TERENO) project (www.tereno.net) sites were mown or grazed grasslands were available. The initial study design was for investigating the impact of land management (mown meadows versus grazed pastures) on plant diversity and spatial scale heterogeneity. The selected grasslands were managed as either meadows or pastures for at least the last ten years. The initial study design was a balanced, nested design with three grasslands per land management type and study site. Vegetation relevés of 10 m x 10 m were established within identified grasslands from which 10 subplots, of 1 m^2, were randomly selected to be surveyed. Within each subplot all vascular plant species were determined and their cover was visually estimated to the nearest percentage as a proxy for abundance. Data is provided as percentage cover per subplot. Plant species names were updated according to The Plant List. Due to in-field limitations and more detailed records from farmers, the final data set consists of 270 subplot records, of which 120 are within meadows and 150 within pastures. The sampling inbalance should be accounted for (see associated publication for further details, and the supplementary plot combination file). Two complementary data sets were also collected at the same plots (with the same spatial resolution) for soil microbial diversity of fungi and bacteria. These data sets have been deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under the accession PRJNA563995.

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