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  • PANGAEA  (4)
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  • 1
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    Plant biomass determination and stability metrics calculations analysed during the Jena Expermint from 2012 to 2015 (2020)
    PANGAEA
    Details
    Publication Date: 2023-05-13
    Description: The present study was conducted at the Jena Experiment field site from 2011 to 2015. The 48 experimental plant communities included twelve monocultures (of which one was removed from all analyses because it was planted with the wrong species), twelve 2-species mixtures, twelve 4-species mixtures and twelve 8-species mixtures. We used two community-evolution treatments (plant histories); plants with eight years of co-selection history in different plant communities in the Jena Experiment (communities of co-selected plants) and plants without such co-selection history (naïve communities). Community-level plant productivity was measured each year from 2012 to 2015 by collecting species-specific aboveground biomass twice per year in May and August. There are a total of seven harvests included in this dataset. We harvested plant material 3 cm aboveground from a 50 x 20 cm area in the centre of each half-quadrat, sorted it into species, dried it at 70°C and weighed the dry biomass. We also include a datafile with the stability metrics presented in the paper, such as resistance, recovery, and resilience to the flood, population stability and temporal stability.
    Keywords: asynchrony; co-occurrence history; disturbance; Flood; grassland biodiversity; JenExp; recovery; resistance; selection; The Jena Experiment
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Stability metrics calculation at the Jena Experiment field (2020)
    PANGAEA
    Details
    Publication Date: 2023-05-13
    Keywords: -; After Bray & Curtis (1957); asynchrony; Biomass; Biomass, recovery; Biomass, resilience; Biomass, resistance; Biomass, standard deviation; Calculated; Calculated = mean/SD; Calculated after Loreau and de Mazancourt (2008); Coefficient of variation; co-occurrence history; disturbance; Duration, number of days; EXP; Experiment; Experimental plot; Factor analysis; Flood; Flooding index; grassland biodiversity; History; Jena_Experiment; Jena Experiment; JenExp; Log (x+1) transformed; Number of harvests; recovery; resistance; selection; Species richness; Species turnover; Sum; Synchrony index; Temporal Stability; The Jena Experiment; Thuringia, Germany
    Type: Dataset
    Format: text/tab-separated-values, 8986 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Biomass analysis at the Jena Experiment field site from 2012 to 2015 (2020)
    PANGAEA
    Details
    Publication Date: 2023-07-10
    Keywords: Achillea millefolium, biomass as dry weight; Ajuga reptans, biomass as dry weight; Alopecurus pratensis, biomass as dry weight; Anthoxanthum odoratum, biomass as dry weight; Anthriscus sylvatica, biomass as dry weight; Arrhenatherum elatius, biomass as dry weight; asynchrony; Avenula pubescens, biomass as dry weight; Biomass; Block; Bromus erectus, biomass as dry weight; Bromus hordeaceus, biomass as dry weight; Campanula patula, biomass as dry weight; Cardamine pratensis, biomass as dry weight; co-occurrence history; Crepis biennis, biomass as dry weight; Cynosurus cristatus, biomass as dry weight; Dactylis glomerata, biomass as dry weight; Date; Daucus carota, biomass as dry weight; disturbance; Event label; EXP; Experiment; Experimental plot; Festuca pratensis, biomass as dry weight; Festuca rubra, biomass as dry weight; Flood; Galium mollugo, biomass as dry weight; Geranium pratense, biomass as dry weight; Glechoma hederacea, biomass as dry weight; Grasses; grassland biodiversity; Heracleum sphondylium, biomass as dry weight; Herbs, small; Herbs, tall; History; Holcus lanatus, biomass as dry weight; Jena Experiment 2012; Jena Experiment 2013; Jena Experiment 2014; Jena Experiment 2015; JenExp; JenExp_2012; JenExp_2013; JenExp_2014; JenExp_2015; Knautia arvensis, biomass as dry weight; Lathyrus pratensis, biomass as dry weight; Legumes; Leontodon autumnalis, biomass as dry weight; Leontodon hispidus, biomass as dry weight; Leucanthemum vulgare, biomass as dry weight; Lotus corniculatus, biomass as dry weight; Luzula campestris, biomass as dry weight; Medicago lupulina, biomass as dry weight; Medicago x varia, biomass as dry weight; Onobrychis viciifolia, biomass as dry weight; Phleum pratense, biomass as dry weight; Plantago lanceolata, biomass as dry weight; Plantago media, biomass as dry weight; Poa pratensis, biomass as dry weight; Poa trivialis, biomass as dry weight; Primula veris, biomass as dry weight; Prunella vulgaris, biomass as dry weight; Ranunculus acris, biomass as dry weight; Ranunculus repens, biomass as dry weight; recovery; resistance; Sanguisorba officinalis, biomass as dry weight; Season; selection; Species richness; Taraxacum officinale, biomass as dry weight; The Jena Experiment; Thuringia, Germany; Treatment; Trifolium campestre, biomass as dry weight; Trifolium dubium, biomass as dry weight; Trifolium fragiferum, biomass as dry weight; Trifolium hybridum, biomass as dry weight; Trifolium pratense, biomass as dry weight; Trifolium repens, biomass as dry weight; Trisetum flavescens, biomass as dry weight; Veronica chamaedrys, biomass as dry weight; Vicia cracca, biomass as dry weight
    Type: Dataset
    Format: text/tab-separated-values, 43918 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    (Table A1) Species list of the high Antarctic Weddell Sea food web (2011)
    PANGAEA
    In:  Supplement to: Jacob, Ute; Thierry, Aaron; Brose, Ulrich; Arntz, Wolf E; Berg, Sofia; Brey, Thomas; Fetzer, Ingo; Jonsson, Tomas; Mintenbeck, Katja; Möllmann, Christian; Petchey, Owen L; Riede, Jens O; Dunne, Jennifer A (2011): The role of body size in complex food webs: A cold case. Advances in Ecological Research, 45, 181-223, https://doi.org/10.1016/B978-0-12-386475-8.00005-8
    Details
    Publication Date: 2023-10-28
    Description: Human-induced habitat destruction, overexploitation, introduction of alien species and climate change are causing species to go extinct at unprecedented rates, from local to global scales. There are growing concerns that these kinds of disturbances alter important functions of ecosystems. Our current understanding is that key parameters of a community (e.g. its functional diversity, species composition, and presence/absence of vulnerable species) reflect an ecological network's ability to resist or rebound from change in response to pressures and disturbances, such as species loss. If the food web structure is relatively simple, we can analyse the roles of different species interactions in determining how environmental impacts translate into species loss. However, when ecosystems harbour species-rich communities, as is the case in most natural systems, then the complex network of ecological interactions makes it a far more challenging task to perceive how species' functional roles influence the consequences of species loss. One approach to deal with such complexity is to focus on the functional traits of species in order to identify their respective roles: for instance, large species seem to be more susceptible to extinction than smaller species. Here, we introduce and analyse the marine food web from the high Antarctic Weddell Sea Shelf to illustrate the role of species traits in relation to network robustness of this complex food web. Our approach was threefold: firstly, we applied a new classification system to all species, grouping them by traits other than body size; secondly, we tested the relationship between body size and food web parameters within and across these groups and finally, we calculated food web robustness. We addressed questions regarding (i) patterns of species functional/trophic roles, (ii) relationships between species functional roles and body size and (iii) the role of species body size in terms of network robustness. Our results show that when analyzing relationships between trophic structure, body size and network structure, the diversity of predatory species types needs to be considered in future studies.
    Keywords: Environment; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; Species; Species code; SPP1158; Weddell_Sea_Shelf; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1464 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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