Das Projekt hat zum Ziel, den Einfluss der Aktivität von Bodentieren auf Umsetzungsprozesse in urbanen Böden zu untersuchen. Neben der Quantifizierung des Beitrages, den die Bodentiere bei der Dekomposition von organischem Material und der Verlagerung von Nähr- und Fremdstoffen leisten, soll insbesondere auf die Wechselwirkungen mit der mikrobiellen Flora eingegangen werden. Da anthropogen geprägte Böden eine in ihrer Vielfalt - gegenüber natürlichen Systemen - reduzierte Bodentiergemeinschaft aufweisen, möchte das Projekt zugleich einen Beitrag zu der Frage leisten, welchen Einfluss jeweils funktionelle Zusammensetzung und Artendiversität der Biozönose auf die bodenbiologisch gesteuerten Prozesse diese Standorte ausüben. Ein weiteres Ziel des Projektes ist die Charakterisierung von Veränderungen in den strukturellen Eigenschaften der untersuchten Böden, die auf Ausscheidungen und auf die Vermengungs- und Grabaktivität der Bodentiere zurückzuführen sind. In der ersten Projektphase wird die Steuerungsfunktion der Bodentiere bei Umsetzungsprozessen, die maßgeblich durch die Aktivität von Mikroorganismen getragen werden, in Mikrokosmen unterschiedlicher Komplexität untersucht. Diese sollen mit standorttypischen Tierarten und Substraten bestückt werden und dynamische, bodenbiologische Prozesse modellhaft beschreiben. Die Übertragung der im Labor gewonnenen Erkenntnisse auf das Freiland erfolgt in einer späteren Projektphase. Zusammenhänge zwischen Besatz von speziellen Tierarten und ... (Text gekürzt)
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.
This dataset contains simulation data using the LPJmL-FIT model (Billing et al., 2019). The purpose of this dataset is to investigate the influence of functional diversity on European forest biomass dynamics under varying climate change scenarios (RCP2.6, RCP4.5, RCP8.5). The LPJmL-FIT ("Lund-Potsdam-Jena managed Land – Flexible Individual Traits") model is a dynamic flexible-trait vegetation model that simulates the establishment, growth, competition, and mortality of individual trees and grasses. Each tree individual is categorized into one of four main plant functional types (PFTs) and assigned a set of functional trait values, including specific leaf area (SLA), leaf longevity (LL), and wood density (WD). The model is driven by daily climate input data, atmospheric CO2 concentration, and soil texture.
For this dataset, the model was applied to six different regions across central and eastern Europe, covering a range of environmental gradients. Those sites include: Alpine Mountains, Boreal flatland, Carpathian Mountains, central European flatland, central European low mountain range and eastern European flatland. Each region is represented by a set of 9 grid cells of 0.5° x 0.5° longitude and latitude in size. Four experimental set-ups were investigated, varying in the degree of functional diversity. These set-ups specify characteristics of newly establishing trees, including assignment to PFTs and the range of leaf traits drawn from the full spectrum.
This dataset provides detailed model outputs from simulations exploring the effects of different levels of functional diversity on forest adaptation under changing climatic conditions.
LPJmL-FIT is process- and trait-based vegetation model. It is a subversion of the model LPJmL simulating patches of competing individual trees with flexible functional traits and empirically derived relations between these traits. Trait composition, productivity and stability of a forest are a result of environmental and competitive filtering. A detailed description of LPJmL-FIT (basic features and differences to LPJmL) is given by Sakschewski et al. (Sakschewski et al., 2015, https://doi.org/10.1111/gcb.12870). LPJmL-FIT was originally developed for tropical forests and has been adapted to European forests by Thonicke et al. (2020).
The data covers southern and central Europe (29.5°N – 62°N, 11°W – 36°O) on a spatial resolution of 0.5° covering the years 1901-2013. Tree height, leaf and stem traits (specific leaf area, wood density, leaf longevity; aggregated), individual traits of simulated trees, vegetation distribution (foliage projected cover, FPC), vegetation carbon and fire carbon emissions are given on an annual basis. Gross primary productivity is provided monthly. Tree height and leaf and stem traits are biomass weighted.
For evaluation of the dataset R- and MATLAB-scripts are provided.
An overview and description of all variables are found in the file description.