Drivers of Ecosystem Services in Heterogeneous Landscapes (ECOSERV)
Principle investigators (PIs): Jean Paul Metzger, Prof. W. Weisser and Dr. Sebastian T. Meyer
PhD student: Laura Argens
The ECOSERV project researches the impact of different drivers on the provision of ecosystem services in grasslands. An ecological synthesis should clarify the wide variety of responses considering how land use/ land cover, biodiversity or climate affect ecosystem service provisioning. Researchers proposed to use data from the Jena Experiment for studying long-term effects on the relationships between Ecosystem functions. As a first project, the variability of trade-offs between Ecosystem Functions depending on the number of data points included in the analysis based on the measurements done in Jena will be evaluated.
Associated project with Aaron Fox
Optimal management of grasslands is a key strategy towards their agronomic and environmental sustainability, helping to meet an ever-increasing demand for food. Central to achieving this is a greater insight into the functional relationship between the plant and the plethora of microorganisms that are associated with its roots: the microbiome. A critical knowledge gap is the consequence of varying plant and microbial diversity on the soil nutrient turnover of two macronutrients: nitrogen (N) and phosphorus (P), both essential for plant growth. I will take a two-step approach to addressing this question. Firstly, I will investigate how altering plant diversity (i.e., monocultures vs high diversity swards, as well as the presence/absence/proportion of N-fixing legumes) influences how the microbiome breaks-down complex nutrient forms of N and P for plants to assimilate. To answer this question, I will do metagenomic analysis on samples from the renowned Jena biodiversity experiment, as well as establish mesocosm systems in which I vary the proportion of legumes in non-legume/legume mixtures. In the second step, I will view the question from the opposite direction. Here I will study the differences in how high vs. low soil microbial diversity make N and P plant-available and how such distinctions impact the growth performance of a plant and its consequential response to environmental stress, using diversity manipulation experiments on the soil microbiome. The findings of this project will emphasize to farmers the importance of maintaining above- and belowground biodiversity for the sustainability of grassland production systems. The project has received funding from the RL2025 fellowship scheme, co-funded by Teagasc (the Irish agricultural research authority) and the Marie Skłodowska-Curie scheme of the EU.
Detection and attribution of changes in soil moisture and temperature as affected by plant diversity and climate
PI: Prof. Joachim Denzler, Jena
Co-PI: Prof. Nico Eisenhauer, Leipzig; Dr. Maha Shadaydeh , Jena ; Dr. Anne Ebeling , Jena; Dr. Yuanyuan Huang, Leipzig
PhD student: Gideon Stein
This project focuses on soil-plant-climate systems, and specifically the impact of plant diversity on such systems. The hypothesis that is to be tested in this context is whether plant diversity can buffer the effects of climate extremes and promote long-term microbial functioning by stabilizing micro-climate. To test this hypothesis, a strong focus will lie on discovering cause-effect relationships in the named system. An unprecedently detailed long-term dataset on climate, plant community properties, soil microclimatic conditions, soil microbial biomass, and respiration, which was collected over many years at the Jena experiment site, will be utilized to investigate and discover these causal relationships exhaustively. This research is highly interdisciplinary, leveraging different Machine Learning methods such as time-series analysis, causal inference methods, and anomaly detection to find precise answers to posed questions.
Associated project with Justus Hennekce
To be added…
Metabolite Changes in Biodiversity Levels and Seasonal Shifts (MacBeSSt)
PIs: Dr. Steffen Neuman, Halle; Dierk Scheel, Prof. Dr. Helge Bruelheide, Halle; Kristian Peters; Prof. Nicole van Dam, Jena
PhD student: Susanne Marr
The MacBeSSt project focuses on combining different experimental and
analytical methods to investigate metabolomic changes within and between
plant species grown in the Jena Experiment.
Liquid Chromatography, coupled with Mass Spectrometry, along with automated processing methods, are used as analytical tools for ‘metabolite fingerprint’ investigations in herb and grass species that grew in different plant communities and biodiversity levels. The vegetative aboveground biomass was sampled at four time-points across the growing season May to October.
By determining biochemical patterns and trait relationships between plant species, species communities and the environment, this project aims to build a bridge between the research areas ecology, biochemistry and bioinformatics.
Plant chemistry-mediated effects of above- and belowground biodiversity on herbivory
PIs: Prof. Dr. Nicole M. van Dam, Jena; Prof. Dr. Nico Eisenhauer, Leipzig; Dr. Alexander Weinhold, Jena
PhD student: Christian Ristok
This project aims to integrate eco-metabolomics and biodiversity-ecosystem functioning (BEF) experiments to enhance our knowledge about multitrophic interaction in natural ecosystems. We analyze and experimentally manipulate interactions between plants and their above- and belowground interaction partners. In more detail, we 1) study how plant diversity-driven shifts in soil biota elicit changes in the composition and diversity of shoot and root secondary metabolites; 2) study the simultaneous effect of aboveground and belowground biodiversity on plant metabolomes of common grassland species in the Jena Experiment; and 3) separately analyze the importance of aboveground biodiversity, i.e. plant-plant interaction, versus belowground biodiversity, i.e. soil biota-plant interaction, on the chemical diversity within a plant. As part of each aspect, we further test how the induced changes in the secondary metabolites affect herbivory/herbivore resistance. Eventually this new knowledge will help us to improve our predictions on changes in plants, communities and multitrophic interactions, and to assess the impact of biodiversity loss through changes in the plant metabolome.