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Picture: The photo shows the experimental garden of the Philipps University in Marburg, Germany, called "Common Garden". You can see swards with tall growing grasses in six rows of square sub-plots of fifty by fifty centimeters, where always two sub-plots are laid out next to each other. One row is thus one meter wide. Between the rows are paths. In the background are greenhouses, buildings and behind them a dense row of deciduous and coniferous trees under a sky covered with cumulus clouds

Changes in land-use intensity along with land degradation have been identified as major causes of the decline in biodiversity and a loss of ecological functions. The application of fertiliser, mowing and grazing are land-use components that have been shown to affect plant species diversity and composition in grasslands in many ways. However, a strong environmental impact on the effects of land use can be inferred by the variation in strength as well as direction of these effects. Site-specific differences in regard to various environmental factors between but also within the three Exploratories impede a separation of environmental and land-use effects and therefore the identification of the actual effects of land use on communities. Thus, we establish a controlled environment by using a common-garden approach to better illustrate the sole effects of various types of land use by reducing environmental heterogeneity to a minimum.

Picture: The photo shows the experimental garden of the Philipps University in Marburg, Germany, called "Common Garden". You can see swards with tall growing grasses in six rows of square sub-plots of fifty by fifty centimeters, where always two sub-plots are laid out next to each other. One row is thus one meter wide. Between the rows are paths. In the background are greenhouses, buildings and behind them a dense row of deciduous and coniferous trees under a sky covered with cumulus clouds
Fig. 1: The Common Garden at the Philipps-Universität Marburg

  1. Communities originating from different plots but treated in the same way will converge on composition and diversity, whereas communities originating from the same plot but subjected to different treatments will diverge.
  2. Strength in response to land-use treatments by plant and bacteria communities is proportional to the difference in the land-use intensity in the original sites (Biodiversity Exploratories) and in the treatments.
  3. Sod parts originating from plots with a more variable land-use history will diverge less than sod parts originating from plots with a more stable past.
  4. Responses of bacterial communities on land-use treatments are faster than responses of plant communities.

Establishment of the common garden and implementation of different land-use treatments

 

Picture: The graphic shows the schematic structure of the garden. Fields in 2 by 6 rows with a total of one hundred and eighty-six sub-plots can be seen. The plots are marked in different shades of green and numerically.
Fig. 2. structure of the Common Garden

Grass sods (1x1m) harvested at n = 39 plots of the Biodiversity Exploratories have been partitioned into four equal parts. Each of the subplots (50x50cm) will be subjected to one of the four land-use treatments (Tab. 1). Additionally, one plot containing sterilised soil has been placed in each treatment block.

Picture: The table shows information on the experimental land uses of the created sub-plots.
Table 1. experimental land uses: T1 [control]: 1 x mowing/year; T2 [mowing]: 2 x mowing/year; T3 [fertilizer]; 1x mowing/year + fertilizing; T4 [mowing + fertilizer]: 2 x mowing/year + fertilizing. Thus, the land use index LUI (Blüthgen et al. 2012) of the treatments varies between 0.99 and 2.30 (calculations based on land use of all EPs in the Biodiversity Exploratories from 2006 - 2016; data source: BExIS).

Recording of plant and bacterial communities

Directly after the establishment of the common garden but prior to the application of treatments the plant’s species, functional composition and diversity as well as the bacterial communities (next-generation 16SrRNA gene amplicon sequencing), will be assessed. In 2021 and 2022, the plant’s species and functional composition and diversity will be reassessed. The plant traits that will be considered are plant height, leaf area, leaf dry-weight and specific leaf area (SLA). Bacterial communities will be recorded again as well. Changes in the plant and bacterial composition and diversity will be related to the land-use history of each of the plots.

Phenotyping of plant communities using PlantEye500 (Phenospex)

Aside from the ‘classical’ methods of data collection, all plots will be scanned using the PlantEye.


Doc
Zieschank V., Junker R. R. (2023): Digital whole-community phenotyping: tracking morphological and physiological responses of plant communities to environmental changes in the field. Frontiers in Plant Science 14 : 1141554. doi: 10.3389/fpls.2023.1141554
More information:  doi.org

Public Datasets

Dataset
Zieschank, Vincent (2024): Vegetation analysis and trait data of plant communities originating from the Exploratories in the common garden in Marburg (2020-2022). Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31896?version=4
Dataset
Zieschank, Vincent (2023): Fragaria vesca microbiome experiment 2021 - Fungal taxonomy. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31625?version=6
Dataset
Zieschank, Vincent (2023): Fragaria vesca microbiome experiment 2021 - Bacterial taxonomy. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31623?version=6
Dataset
Zieschank, Vincent (2023): Fragaria vesca microbiome experiment 2021 - Main dataset including single plant and plant community scans and associated bacterial and fungal ASVs and taxonomy. Version 13. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.25829/BEXIS.31497-13
Dataset
Zieschank, Vincent (2023): Fragaria vesca microbiome experiment 2021 - Fungal ASVs. Version 6. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31624?version=6
Dataset
Zieschank, Vincent (2023): Fragaria vesca microbiome experiment 2021 - Bacterial ASVs. Version 4. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31622?version=4
Dataset
Zieschank, Vincent (2022): Vegetation analysis and trait data of plant communities originating from the Exploratories in the common garden in Marburg (2020-2021). Version 9. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31267?version=9
Dataset
Zieschank, Vincent (2022): Scan data from digital whole-community phenotyping of the common garden in Marburg. Version 8. Biodiversity Exploratories Information System. Dataset. https://www.bexis.uni-jena.de/ddm/data/Showdata/31269?version=8

Scientific assistants

Prof. Dr. Robert R. Junker
Project manager
Prof. Dr. Robert R. Junker
Philipps-Universität Marburg
Vincent Zieschank
Employee
Vincent Zieschank
Philipps-Universität Marburg
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