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  • PANGAEA  (6)
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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Buzhdygan, Oksana Y; Meyer, Sebastian Tobias; Weisser, Wolfgang W; Eisenhauer, Nico; Ebeling, Anne; Borrett, Stuart R; Buchmann, Nina; Cortois, Roeland; De Deyn, Gerlinde B; de Kroon, Hans; Gleixner, Gerd; Hertzog, Lionel R; Hines, Jes; Lange, Markus; Mommer, Liesje; Ravenek, Janneke; Scherber, Christoph; Scherer-Lorenzen, Michael; Scheu, Stefan; Schmid, Bernhard; Steinauer, Katja; Strecker, Tanja; Tietjen, Britta; Vogel, Anja; Weigelt, Alexandra; Petermann, Jana S (2020): Biodiversity increases multitrophic energy use efficiency, flow and storage in grasslands. Nature Ecology & Evolution, https://doi.org/10.1038/s41559-020-1123-8
    Publication Date: 2023-11-09
    Description: This data set contains measures of energy-use efficiency, energy flow, and energy storage in units of dry biomass that quantify the multitrophic ecosystem functioning realized in grassland ecosystems of differing plant diversity. Given are both the measures integrated over whole ecosystems (total network measures) as well as the energy dynamics associated with individual ecosystem compartments including the entire biological community and detrital compartments across the above- and belowground parts of the ecosystem. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment, see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Study plots are grouped in four blocks in parallel to the river in order to account for any effect of a gradient in abiotic soil properties. Each block contains an equal number of plots of each plant species richness and plant functional group richness level. Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plot size was reduced to 5.5 x 6 m and plots were weeded three times per year. Trophic-network models were constructed for 80 of the experimental plots, and represent the ecosystem energy budget in the currency of dry-mass (g m-2 for standing stocks and g m-2 d-1 for flows). All trophic networks have the same topology, but they differ in the estimated size of the standing stock biomass of individual compartments (g m-2) and flows among the compartments (g m-2 d-1). Each trophic network contains twelve ecosystem compartments representing distinct trophic groups of the above- and belowground parts of the ecosystem (i.e., plants, soil microbial community, and above- and belowground herbivores, carnivores, omnivores, decomposers, all represented by invertebrate macro- and mesofauna) and detrital pools (i.e., surface litter and soil organic matter). Vertebrates were not considered in our study due to limitations of data availability and because the impact of resident vertebrates in our experimental system is expected to be minimal. Larger grazing vertebrates were excluded by a fence around the field site, though there was some occasional grazing by voles. Compartments are connected by 41 flows. Flows (fluxes) constitute 30 internal flows within the system, namely feeding (herbivory, predation, decomposition), excretion, mortality, and mechanical transformation of surface litter due to bioturbation plus eleven 11 external flows, i.e. one input (flows entering the system, namely carbon uptake by plants) and ten output flows (flows leaving the system, namely respiration losses). The ecosystem inflow (a flow entering the system) and outflows (flows leaving the system) represent carbon uptake and respiration losses, respectively. In the case of consumer groups, the food consumed (compartment-wide input flow) is further split into excretion (not assimilated organic material that is returned to detrital pools in the form of fecesfaeces) and assimilated organic material, which is further split into respiration (energy lost out of the system to the environment) and biomass production, which is further consumed by higher trophic levels due to predation or returned to detrital pools in the form of mortality (natural mortality or prey residues). In case of detrital pools (i.e. surface litter and soil organic matter), the input flows are in the form of excretion and mortality from the biota compartments, and output flows are in the form of feeding by decomposers and soil microorganisms (i.e. decomposition). Surface litter and soil organic matter are connected by flows in the form of burrowing (mechanical transportation) of organic material from the surface to the soil by soil fauna. Organism immigration and emigration are not considered in our study due to limited data availability. Flows were quantified using resource processing rates (i.e. the feeding rates at which material is taken from a source) multiplied with the standing biomass of the respective source compartment. To approximate resource processing rates, different approaches were used: (i) experimental measurements (namely the aboveground decomposition, fauna burial activity (bioturbation), microbial respiration, and aboveground herbivory and predation rates); (ii) allometric equations scaled by individual body mass, environmental temperature and phylogenetic group (for the above- and belowground fauna respiration rates and plant respiration); (iii) assimilation rates scaled by diet type (for quantification of belowground fauna excretion and natural mortality); (iv) literature-based rates scaled by biomass of trophic groups (for microbial mortality); and (v) mass-balance assumptions (carbon uptake, plant and aboveground fauna mortality, belowground decomposition, belowground herbivory, and belowground predation). Mass-balance assumption means that the flows are calculated assuming that resource inputs into the compartment (i.e. feeding) balance the rate at which material is lost (i.e. the sum of through excretion, respiration, predation, and natural death). We used constrained nonlinear multivariable optimization to perturb the initial flow rates estimated from the various sources. We assigned confidence ratings for each flow rate, reflecting the quality of empirical data it is based on. We then used the 'fmincon' function from Matlab's optimization toolbox, which utilizes the standard Moore-Penrose pseudoinverse approach to achieve a balanced steady state ecological network model that best reflects the collected field data. Measured data used to parameterize the trophic network models were collected mostly in the year 2010. Network-wide measures that quantify proxies for different aspects of multitrophic ecosystem functioning were calculated for each experimental plot using the 'enaR' package in R. In particular, total energy flow was measured as the sum of all flows through each ecosystem compartment. Flow uniformity was calculated as the ratio of the mean of summed flows through each individual ecosystem compartment divided by the standard deviation of these means. Total-network standing biomass was determined as the sum of standing biomass across all ecosystem compartments. Community maintenance costs were calculated as the ratio of community-wide respiration related to community-wide biomass.
    Keywords: Aboveground, flux, carnivore to aboveground litter, dry mass; Aboveground, flux, decomposer to aboveground litter, dry mass; Aboveground, flux, decomposer to carnivore, dry mass; Aboveground, flux, decomposer to omnivore, dry mass; Aboveground, flux, herbivore to aboveground litter, dry mass; Aboveground, flux, herbivore to carnivore, dry mass; Aboveground, flux, herbivore to omnivore, dry mass; Aboveground, flux, litter to decomposer, dry mass; Aboveground, flux, litter to omnivore, dry mass; Aboveground, flux, omnivore to aboveground litter, dry mass; Aboveground, flux, plant to aboveground herbivore, dry mass; Aboveground, flux, plant to aboveground litter, dry mass; Aboveground, flux, plant to aboveground omnivore, dry mass; AE; Allometric equations; Belowground, flux, carnivore to soil organic matter, dry mass; Belowground, flux, decomposer to carnivore, dry mass; Belowground, flux, decomposer to omnivore, dry mass; Belowground, flux, decomposer to soil organic matter, dry mass; Belowground, flux, herbivore to carnivore, dry mass; Belowground, flux, herbivore to omnivore, dry mass; Belowground, flux, herbivore to soil organic matter, dry mass; Belowground, flux, omnivore to soil organic matter, dry mass; Belowground, flux, plant to belowground herbivore, dry mass; Belowground, flux, plant to belowground omnivore, dry mass; Belowground, flux, plant to soil organic matter, dry mass; Belowground, flux, soil microorganism to belowground omnivore, dry mass; Belowground, flux, soil microorganism to soil organic matter, dry mass; Belowground, flux, soil organic matter to belowground decomposer, dry mass; Belowground, flux, soil organic matter to belowground omnivore, dry mass; Belowground, flux, soil organic matter to soil microorganism, dry mass; Biodiversity; Biomass; Biomass, aboveground, carnivore, dry mass; Biomass, aboveground, decomposer, dry mass; Biomass, aboveground, herbivore, dry mass; Biomass, aboveground, omnivore, dry mass; Biomass, belowground, carnivore, dry mass; Biomass, belowground, decomposer, dry mass; Biomass, belowground, herbivore, dry mass; Biomass, belowground, omnivore, dry mass; Biomass, plant, dry mass; Biomass of aboveground litter, dry mass; Biomass of soil microorganism, dry mass; Biomass of soil organic matter, dry mass; Carbon uptake by plant; EM; Empirically measured; energay flow; Energy budget; energy storage; energy-use efficiency; EXP; Experiment; Flux, aboveground litter to soil organic matter, dry mass; grassland; Jena_Experiment; Jena Experiment; JenExp; Literature based; Mass-balancing; Modelled, Ecological Network Analysis; Modelled - ENA; Plot; Respiration, flux, aboveground, carnivore, dry mass; Respiration, flux, aboveground, decomposer, dry mass; Respiration, flux, aboveground, herbivore, dry mass; Respiration, flux, aboveground, omnivore, dry mass; Respiration, flux, belowground, carnivore, dry mass; Respiration, flux, belowground, decomposer, dry mass; Respiration, flux, belowground, herbivore, dry mass; Respiration, flux, belowground, omnivore, dry mass; Respiration, flux, plant, dry mass; Respiration, flux, soil microorganism, dry mass; The Jena Experiment; Thuringia, Germany; Total network, biomass, dry mass; Total network, community maintenance costs per day; Total network, energy flow, dry mass; Total network, energy flow uniformity
    Type: Dataset
    Format: text/tab-separated-values, 4640 data points
    Location Call Number Expected Availability
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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Wagg, Cameron; Ebeling, Anne; Roscher, Christiane; Ravenek, Janneke; Bachmann, Dörte; Eisenhauer, Nico; Mommer, Liesje; Buchmann, Nina; Hillebrand, Helmut; Schmid, Bernhard; Weisser, Wolfgang W (2017): Functional trait dissimilarity drives both species complementarity and competitive disparity. Functional Ecology, 31(12), 2320-2329, https://doi.org/10.1111/1365-2435.12945
    Publication Date: 2024-06-13
    Description: This data collection contains species-specific aboveground plant biomass that was collected from the Trait Based Experiment in 2012. (Sown plant species, Weed plant biomass, the biomass of dead plant material, and the biomass of unidentified plant material) per plots collected in 2012 from a grassland trait diversity experiment (the Jena Trait Based Experiment). The data collection also contains the traits of the species measured in their monoculture. The experiment consists of 20 plant species that were assigned to one of three species pools: 1. Species that vary along a gradient of spatial leaf and root trait similarity, 2. Species that vary along a gradient of phenological trait similarity and 3. Species that vary along a gradient of both spatial and phenological similarity (see Ebeling et al. 2014). The experiment consists of 138 grassland plots 3 x 3 m in size that was established within the Jena Experiment, Germany, in 2011. Plots vary in plant species richness (1, 2, 4, or 8 species) and functional diversity (1, 2, 3, 4 functional diversity levels, where 1 indicates species are most similar and 4 being most dissimilar in functional traits). Plots were maintained by manual weeding in March, July and September. Biomass was harvested twice in 2012 (during peak standing biomass in late May and in late August) on all experimental plots. Plots were mown to the same height directly following biomass harvest. Plant biomass was harvested by clipping the vegetation at 3 cm above ground in two 0.2 x 0.5 m quadrats per plot. The harvested biomass was sorted into categories: individual species of the sown plant species, 'Weed' plant species (species not sown in a plot), detached 'Dead' plant material, and remaining plant material that could not be assigned to any category ('Rest'). All biomass was dried to constant weight (70°C, 〉= 48 h) and weighed. The data from individual quadrats were averaged. The traits measured are: Flowering initiation, Flowering cessation, specific leaf area (SLA), leaf dry matter content (LDMC), leaf area, maximum canopy height, specific root length (SRL), mean rooting depth (MRD), root mass density (RMD) and root length density (RLD). Flowering initiation and cessation were measured respectively as the week in which flowering was first observed and flowering senesce had completed throughout the plot. Leaf area, leaf fresh mass were measured on approximately five fully expanded leaves from different individuals. These leaves were dried at 65°C for over 48 hours and massed to calculate the specific leaf area (SLA, area per dry mass), and the leaf dry matter content (LDMC, dry mass per fresh mass). Maximum canopy height was measured during peak biomass in May by taking the average of five measurements along a transect. Root traits were measured by taking soil cores, 4 cm in diameter and 40 cm deep and sectioned by depth: 0-5, 5-10, 10-20, 20-30 and 30-40 cm. Roots were washed and roots 〈 2 mm in diameter were stored in 70 % ethanol. Root length was determined by scanning stained roots with neutral red and scanning roots using WinRhizo software. Root traits were only measured in species pool 1 and 2. Roots were then dried at 65°C for over 48 hours and massed to determine the specific root length (SRL, root length per mass), mean rooting depth (MRD, the average depth weighed by root mass per depth), root mass density (RMD, the average root mass per cubic cm volume) and root length density (RLD, root mass per root length).
    Keywords: JenExp; The Jena Experiment
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-06-13
    Description: This collection contains measurements of standing below ground biomass, belowground biomass productivity and morphological root parameters measured on the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main Experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Since 2010, plots were weeded three times per year. The following series of datasets are contained in this collection: 1. Standing below ground biomass: Coarse and fine root biomass was measured in 2003, 2004, 2006 and 2008 in 0 - 30 cm depth. In 2011 and 2014, total root biomass was sampled down to 40 cm depth. Some years report the data divided into sublayers. Every year, several soil cores were taken per plot and pooled before the whole bulk material or a subsample was washed for roots. Roots were dried at 60 - 70 °C and weighed. Standing root biomass was calculated as g m-2. 2. Below ground biomass productivity in 0 - 30 cm depth: Coarse and fine root biomass production from June to September 2003, September 2003 to July 2004 and July 2007 to June 2008 was measured by the ingrowth core method. In 2008, the data is reported divided into sublayers. Each time, five soil cores were taken per plot and replaced by root free soil from the field site. The initially root-free ingrowth cores were removed after a while and pooled plot-wise. To extract the newly formed roots, a subsample of the bulk material was washed for roots. Roots were dried at 70 °C and weighed. Root biomass productivity was calculated as g m-2. In addition, C- (only in 2003 and 2004) and N-concentration of the fine roots was determined. 3. Morphological root parameters of newly formed roots in 0 - 30 cm depth: Root length density and mean root diameter of newly formed roots from June to September 2003 and September 2003 to July 2004 were measured by the ingrowth core method. Each time, five soil cores were taken per plot and replaced by root free soil from the field site. The initially root-free ingrowth cores were removed after a while and pooled plot-wise. To extract the newly formed roots, a subsample of the bulk material was washed and scanned. Root length and mean diameter were determined by using WinRhizo (Regent Instruments, Quebec, Canada). 4. Morphological root parameters of standing roots in 0 - 30 cm depth: In 2004, mean diameter of standing roots was measured by sampling three soil cores per plot. To extract the standing roots, a subsample of the bulk material was washed and scanned. Mean diameter was determined by using WinRhizo (Regent Instruments, Quebec, Canada).
    Keywords: JenExp; The Jena Experiment
    Type: Dataset
    Format: application/zip, 10 datasets
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2024-06-13
    Description: This data set contains aboveground plant biomass (Sown plant species, Weed plant biomass, the biomass of dead plant material, and the biomass of unidentified plant material) per plots collected in 2012 from a grassland trait diversity experiment (the Jena Trait Based Experiment). The experiment consists of 20 plant species that were assigned to one of three species pools: 1. Species that vary along a gradient of spatial leaf and root trait similarity, 2. Species that vary along a gradient of phenological trait similarity and 3. Species that vary along a gradient of both spatial and phenological similarity (see Ebeling et al. 2014). The experiment consists of 138 grassland plots 3 x 3 m in size that was established within the Jena Experiment, Germany, in 2011. Plots vary in plant species richness (1, 2, 4, or 8 species) and functional diversity (1, 2, 3, 4 functional diversity levels, where 1 indicates species are most similar and 4 being most dissimilar in functional traits). Plots were maintained by manual weeding in March, July and September. Biomass was harvested twice in 2012 (during peak standing biomass in late May and in late August) on all experimental plots. Plots were mown to the same height directly following biomass harvest. Plant biomass was harvested by clipping the vegetation at 3 cm above ground in two 0.2 x 0.5 m quadrats per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. the central 10 x 15 m). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: individual species of the sown plant species, 'Weed' plant species (species not sown in a plot), detached 'Dead' plant material, and remaining plant material that could not be assigned to any category ('Rest'). All biomass was dried to constant weight (70°C, 〉= 48 h) and weighed. The data from individual quadrats were averaged.
    Keywords: Anthoxanthum odoratum, biomass as dry weight; Anthriscus sylvestris, biomass as dry weight; Avenula pubescens, biomass as dry weight; Block; Centaurea jacea, biomass as dry weight; Cirsium oleraceum, biomass as dry weight; Dactylis glomerata, biomass as dry weight; Dead plant material, biomass as dry weight; EXP; Experiment; Festuca rubra, biomass as dry weight; Functional diversity; Geranium pratense, biomass as dry weight; Glechoma hederacea, biomass as dry weight; Holcus lanatus, biomass as dry weight; Jena Experiment 2012; JenExp; JenExp_2012; Knautia arvensis, biomass as dry weight; Leucanthemum vulgare, biomass as dry weight; Month; Number of species; Phleum pratense, biomass as dry weight; Plantago lanceolata, biomass as dry weight; Plot; Poa pratensis, biomass as dry weight; Prunella vulgaris, biomass as dry weight; Ranunculus acris, biomass as dry weight; Rumex acetosa, biomass as dry weight; Sanguisorba officinalis, biomass as dry weight; Species Pool; The Jena Experiment; Thuringia, Germany; Unidentified plant material, biomass as dry weight; Veronica chamaedrys, biomass as dry weight; Weeds plant community, biomass as dry weight
    Type: Dataset
    Format: text/tab-separated-values, 3204 data points
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  • 5
    Publication Date: 2024-06-13
    Description: This data set contains plant species traits: Flowering initiation, Flowering cessation, specific leaf area (SLA), leaf dry matter content (LDMC), leaf area, maximum canopy height, specific root length (SRL), mean rooting depth (MRD), root mass density (RMD) and root length density (RLD). The traits were measured during the summer of 2012 on the plants grown in monoculture within a grassland trait diversity experiment (the Jena Trait Based Experiment). The experiment consists of 20 plant species that were assigned to one of three species pools: 1. Species that vary along a gradient of spatial leaf and root trait similarity, 2. Species that vary along a gradient of phenological trait similarity and 3. Species that vary along a gradient of both spatial and phenological similarity (see Ebeling et al. 2014). The plots were 3 x 3 m in size and established within the Jena Experiment, Germany, in 2011. Plots were maintained by manual weeding in March, July and September. Traits were measured during the summer of 2012. Flowering initiation and cessation were measured respectively as the week in which flowering was first observed and flowering senesce had completed throughout the plot. Leaf area, leaf fresh mass were measured on approximately five fully expanded leaves from different individuals. These leaves were dried at 65 C for over 48 hours and massed to calculate the specific leaf area (SLA, area per dry mass), and the leaf dry matter content (LDMC, dry mass per fresh mass). Maximum canopy height was measured during peak biomass in May by taking the average of five measurements along a transect. Root traits were measured by taking soil cores, 4 cm in diameter and 40 cm deep and sectioned by depth: 0-5, 5-10, 10-20, 20-30 and 30-40 cm. Roots were washed and roots 〈 2 mm in diameter were stored in 70 % ethanol. Root length was determined by scanning stained roots with neutral red and scanning roots using WinRhizo software. Root traits were only measured in species pool 1 and 2. Roots were then dried at 65 C for over 48 hours and massed to determine the specific root length (SRL, root length per mass), mean rooting depth (MRD, the average depth weighed by root mass per depth), root mass density (RMD, the average root mass per cubic cm volume) and root length density (RLD, root mass per root length).
    Keywords: Block; Canopy height, maximum; Density; EXP; Experiment; Experiment week; Jena Experiment 2012; JenExp; JenExp_2012; Leaf area; Leaf area, specific, per mass dry weight; Leaf dry matter content, mass dry weight per mass wet weight; Length of roots, average; Plot; Root length, specific; Species; Species Pool; The Jena Experiment; Thuringia, Germany
    Type: Dataset
    Format: text/tab-separated-values, 335 data points
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  • 6
    Publication Date: 2024-06-13
    Description: This data set contains measurements of standing belowground plant biomass. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained in general by bi-annual weeding and mowing. Since 2010, plots were weeded three times per year. Plot size was reduced to 5 x 6 m since 2010. In 2011, standing root biomass was sampled in June. Three (two in few cases because of stones) soil cores with a 3.5 cm diameter per plot were taken to 40 cm depth and pooled plot-wise. The cores were immediately stored cool until further handling. The bulk material of the pooled cores was weighed and cut with scissors to 〈 1 cm pieces. For root washing, the bulk sample was soaked in water and then repeatedly rinsed with tap water over a 0.5 mm sieve. Remaining soil particles were removed by hand. Roots were dried at 60 - 70 °C and weighed subsequently. In 2011, soil cores were separated in depth increments of 0-5, 5-10, 10-20, 20-30 and 30 - 40 cm depth and the corresponding layers were pooled plot-wise. Roots were not seperated in coarse (diameter 〉 2 mm) and fine roots and only total root biomass is shown in this dataset.
    Keywords: Date/time end; Date/time start; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; EXP; Experiment; Experimental plot; Jena Experiment 2011; JenExp; JenExp_2011; Root, biomass belowground; The Jena Experiment; Thuringia, Germany; Treatment: aboveground: pesticide; Treatment: below pesticide; Treatment: drought; Treatment: eartworm exclosure; Treatment: fertilizing; Treatment: molluscide; Treatment: mowing; Treatment: nematicide; Treatment: phytometers; Treatment: seed addition; Treatment: special; Treatment: weeding; Treatment: weeding history
    Type: Dataset
    Format: text/tab-separated-values, 7790 data points
    Location Call Number Expected Availability
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