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  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: Norder, Sietze Johannes; Proios, Kostas V; Whittaker, Robert J; Alonso, María R; Borges, Paulo A V; Borregaard, Michael K; Cowie, Robert H; Florens, F B Vincent; de Frias Martins, António M; Ibáñez, Miguel; Kissling, W Daniel; de Nascimento, Lea; Otto, Rüdiger; Parent, Christine E; Rigal, François; Warren, Ben H; Fernández-Palacios, José María; van Loon, E Emiel; Triantis, Kostas A; Rijsdijk, Kenneth F (2018): Beyond the Last Glacial Maximum: Island endemism is best explained by long-lasting archipelago configurations. Global Ecology and Biogeography, https://doi.org/10.1111/geb.12835
    Publication Date: 2023-01-13
    Description: Aim: To quantify the influence of past archipelago configuration on present-day insular biodiversity patterns, and to compare the role of long-lasting archipelago configurations over the Pleistocene to configurations of short duration such as at the Last Glacial Maximum (LGM) and the present-day. Location: 53 volcanic oceanic islands from 12 archipelagos worldwide - Azores, Canary Islands, Cook Islands, Galápagos, Gulf of Guinea, Hawaii, Madeira, Mascarenes, Pitcairn, Revillagigedo, Samoan Islands, and Tristan da Cunha. Time period: The last 800 Kyr, representing the nine most recent glacial-interglacial cycles. Major taxa studied: Land snails and angiosperms. Methods: Species richness data for land snails and angiosperms were compiled from existing literature and species checklists. We reconstructed archipelago configurations at the following sea-levels: the present-day high interglacial sea-level, the intermediate sea-levels that are representative of the Pleistocene, and the low sea-levels of the LGM. We fitted two alternative linear mixed models for each archipelago configuration on the number of single-island endemic, multiple-island endemic, and native non-endemic species. Model performance was assessed based on the goodness-of-fit of the full model, the variance explained by archipelago configuration, and model parsimony. Results: Single-island endemic richness in both taxonomic groups was best explained by intermediate palaeo-configuration (positively by area change, and negatively by palaeo-connectedness), whereas non-endemic native species richness was poorly explained by palaeo-configuration. Single-island endemic richness was better explained by intermediate archipelago configurations than by the archipelago configurations of the LGM or present-day. Main conclusions: Archipelago configurations at intermediate sea-levels - which are representative of the Pleistocene - have left a stronger imprint on single-island endemic richness patterns on volcanic oceanic islands than extreme archipelago configurations that persisted for only a few thousand years (such as the LGM). In understanding ecological and evolutionary dynamics of insular biota it is essential to consider longer-lasting environmental conditions, rather than extreme situations alone.
    Keywords: Angiosperm species richness; Area/locality; Distance; Land snail species richness; LATITUDE; Log info; LONGITUDE; Number
    Type: Dataset
    Format: text/tab-separated-values, 1166 data points
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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Norder, Sietze Johannes; Baumgartner, John B; Borges, Paulo A V; Hengl, Tomislav; Kissling, W Daniel; van Loon, E Emiel; Rijsdijk, Kenneth F (2018): A global spatially explicit database of changes in island palaeo-area and archipelago configuration during the late Quaternary. Global Ecology and Biogeography, https://doi.org/10.1111/geb.12715
    Publication Date: 2023-01-13
    Description: The Paleo Islands and Archipelago Configuration (PIAC) database containins sea level driven paleogeography changes over the late Quaternary of 178 islands in 27 archipelagos. The workflow developed to calculate archipelago configuration and paleo-area is provided to allow calculations for other islands, time steps, and higher spatiotemporal resolutions.
    Type: Dataset
    Format: application/zip, 105.6 MBytes
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  • 3
    Publication Date: 2023-12-18
    Description: The late Holocene development of a raised ombrotrophic peat bog in the Thuringian Forest in Central Germany was investigated using pollen, plant macrofossils, lipid biomarker, elemental, and radiocarbon analyses. In October 2019, a 3.4 m core was recovered from the Beerberg peatland located in the Vessertal-Thuringian Forest Biosphere Reserve. Radiocarbon dating and a resulting age-depth model indicated that the age of the peatland is ca. 2600 yr BP. The purpose of the study was twofold: establishing a paleovegetation record with a reliable chronology for the Thuringian Forest and comparing the results of the pollen and plant macrofossil analyses to that of the lipid biomarker analysis to determine what additional insight the biomarkers could provide. Along with the counting of pollen and plant macrofossils, the carbon and nitrogen concentrations and their stable isotope values were measured from the bulk samples via elemental analyzer, and the absolute concentrations of n-alkanes, n-alkanols, and n-fatty acids were measured by gas chromatography flame ionization detection. The radiocarbon dates were measured by Accelerator Mass Spectrometry. Modern plant samples were also collected from the peatland during sampling, separated into leaf, stem, and root tissue as much as was possible, and the absolute concentrations of the n-alkanes, n-alkanols, and n-fatty acids were measured for each plant part.
    Keywords: Biomarkers; Central Germany; Late Holocene; macrofossil; peat; Pollen; radiocarbon
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 4
    Publication Date: 2023-12-08
    Keywords: Accelerator mass spectrometry (AMS); Age, dated; Age, dated material; Age, dated standard deviation; Beerberg_peatland_2019; Biomarkers; Central Germany; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, standard deviation; Late Holocene; macrofossil; peat; PEATC; Peat corer; Pollen; radiocarbon; Sample ID; Thuringia, Germany; δ13C; δ13C, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 5
    Publication Date: 2023-12-08
    Keywords: Age, 14C calibrated, IntCal20 with Bacon 2.2 (Blaauw and Christen, 2011); Beerberg_peatland_2019; Biomarkers; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Central Germany; DEPTH, sediment/rock; Late Holocene; macrofossil; peat; PEATC; Peat corer; Pollen; radiocarbon; Thuringia, Germany
    Type: Dataset
    Format: text/tab-separated-values, 1364 data points
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  • 6
    Publication Date: 2023-12-08
    Keywords: Abies alba; Acer; Aesculus hippocastanum; Agrostemma githago; Alnus indeterminata; Anthemis-type; Apiaceae indeterminata; Arnium; Artemisia; Aster-type; Avena-type; Beerberg_peatland_2019; Betula indeterminata; Biomarkers; Brassicaceae indeterminata; Calluna vulgaris; Caltha-type; Campanula; Carpinus betulus; Caryophyllaceae indeterminata; Centaurea cyanus; Centaurea jacea-type; Central Germany; Cerastium-type; Cercophora; Cerealia indeterminata; cf. Humulus lupulus; Chaetomium; Charcoal, particles; Chenopodiaceae; Cichoriaceae indeterminata; Cirsium/Carduus; Coniochaeta ligniaria; Cornus mas; Corylus avellana; Counted; Cyperaceae indeterminata; DEPTH, sediment/rock; Diphasium tristachyum; Drosera rotundifolia; Ericaceae indeterminata; Fagus sylvatica; Filicales monoletes; Filipendula; Frangula alnus; Fraxinus excelsior; Galium-type; Gelasinospora; Geranium; Hordeum-type; Hypericum; Jasione montana; Juglans; Knautia arvensis; Kretzschmaria deusta; Larix; Late Holocene; Lathyrus indeterminata; Ligustrum vulgare; Lysimachia-type; macrofossil; Menyanthes trifoliata; Mercurialis perennis; Neurospora; Nymphaea alba; Palynomorpha, non-pollen; peat; PEATC; Peat corer; Phacelia tanacetifolia; Picea abies; Pinus sylvestris-type; Plantago lanceolata; Plantago major-media; Poaceae indeterminata; Podospora; Pollen; Pollen, corroded; Polygonum aviculare-type; Populus; Prunus-type; Quercus; radiocarbon; Ranunculaceae indeterminata; Ranunculus acris-type; Ranunculus arvensis; Rosaceae indeterminata; Rumex acetosa/R. acetosella; Rumex obtusifolius; Salix indeterminata; Sambucus nigra/S. racemosa; Schizothecium conicum; Scleranthus perennis; Secale cereale; Silene indeterminata; Solanum nigrum-type; Sorbus; Sordaria; Sordariales; Sparganium-type; Sphagnum; Sporormiella; Taxus baccata; Thalictrum; Thelypteris cf. palustris; Thuringia, Germany; Tilia cordata; Trifolium pratense-type; Triticum-type; Ulmus; Urtica dioica; Vaccinium-type; Varia; Verbascum-type; Viburnum-type; Vicia-type
    Type: Dataset
    Format: text/tab-separated-values, 7245 data points
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  • 7
    Publication Date: 2023-12-08
    Keywords: Beerberg_peatland_2019; Biomarkers; Carbon; Carbon, standard error; Central Germany; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elemental analyser isotope ratio mass spectrometer (EA-IRMS), Thermo Fisher Scientific, FLASH 2000-HT Plus; coupled with ConFlo IV to DELTA V Plus IRMS; Late Holocene; macrofossil; Nitrogen; Nitrogen, standard error; peat; PEATC; Peat corer; Pollen; radiocarbon; Sample code/label; Thuringia, Germany; δ13C; δ13C, standard error; δ15N; δ15N, standard error
    Type: Dataset
    Format: text/tab-separated-values, 935 data points
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  • 8
    Publication Date: 2023-12-08
    Keywords: Abundance estimate; Beerberg_peatland_2019; Biomarkers; Calluna vulgaris; Central Germany; cf. Oxycoccus sp.; Charcoal, particles; Counted; DEPTH, sediment/rock; Ericaceae; Eriophorum vaginatum; Fungal remains; Late Holocene; macrofossil; Mosses indeterminata; peat; PEATC; Peat corer; Pollen; Polytrichum cf. Longisetum; Polytrichum sp.; radiocarbon; Shrubs; Sphagnum capillifolium/S. rubellum; Sphagnum fuscum; Sphagnum medium/S. divinum; Sphagnum sect. Acutifolia; Thuringia, Germany; Vaccinium sp.; Wood remains
    Type: Dataset
    Format: text/tab-separated-values, 1168 data points
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  • 9
    Publication Date: 2024-04-23
    Keywords: Associated plant; Beerberg_peatland_2019_plants; Biomarkers; Calculated; Calculation according to Marzi et al. (1993); Calculation according to Poynter et al. (1989); Carbon Preference Index, n-Alkanes; Carbon Preference Index, n-Alkanols; Carbon Preference Index, n-fatty acids; Central Germany; Gas chromatography - Flame Ionization Detection (GC-FID), Agilent, Agilent 7890B; relative to in-house standards; HAND; Index of aquatic macrophyte proxy of n-alkanes (C23+C25)/(C23+C25+C29+C31); Index of waxy n-alkanes to total hydrocarbons (C27+C29+C31)/(C23+C25+C27+C29+C31); Late Holocene; macrofossil; n-Alkane, average chain length; n-Alkane, C23/(C27+C31) ratio; n-Alkane, C23/C25 ratio; n-Alkane C19; n-Alkane C20; n-Alkane C21; n-Alkane C22; n-Alkane C23; n-Alkane C24; n-Alkane C26; n-Alkane C27; n-Alkane C28; n-Alkane C29; n-Alkane C30; n-Alkane C31; n-Alkane C32; n-Alkane C33; n-Alkanol average chain length; n-Alkanol C15; n-Alkanol C16; n-Alkanol C17; n-Alkanol C18; n-Alkanol C19; n-Alkanol C20; n-Alkanol C21; n-Alkanol C22; n-Alkanol C23; n-Alkanol C24; n-Alkanol C25; n-Alkanol C26; n-Alkanol C27; n-Alkanol C28; n-fatty acid C14; n-fatty acid C15; n-fatty acid C16; n-fatty acid C17; n-fatty acid C18; n-fatty acid C19; n-fatty acid C20; n-fatty acid C21; n-fatty acid C22; n-fatty acid C23; n-fatty acid C24; n-fatty acid C25; n-fatty acid C26; n-fatty acid C27; n-fatty acid C28; n-fatty acid C29; n-fatty acid C30; n-fatty acid C31; n-fatty acid C32; n-fatty acids, average chain length; peat; Pollen; radiocarbon; Sample type; Sampling by hand
    Type: Dataset
    Format: text/tab-separated-values, 2098 data points
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  • 10
    Publication Date: 2024-04-23
    Keywords: Beerberg_peatland_2019; Biomarkers; Calculated; Calculation according to Marzi et al. (1993); Calculation according to Poynter et al. (1989); Carbon Preference Index, n-Alkanes; Carbon Preference Index, n-Alkanols; Carbon Preference Index, n-fatty acids; Central Germany; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Gas chromatography - Flame Ionization Detection (GC-FID), Agilent, Agilent 7890B; relative to in-house standards; Index of aquatic macrophyte proxy of n-alkanes (C23+C25)/(C23+C25+C29+C31); Index of waxy n-alkanes to total hydrocarbons (C27+C29+C31)/(C23+C25+C27+C29+C31); Late Holocene; macrofossil; n-Alkane, average chain length; n-Alkane, C23/(C27+C31) ratio; n-Alkane, C23/C25 ratio; n-Alkane C19; n-Alkane C20; n-Alkane C21; n-Alkane C22; n-Alkane C23; n-Alkane C24; n-Alkane C26; n-Alkane C27; n-Alkane C28; n-Alkane C29; n-Alkane C30; n-Alkane C31; n-Alkane C32; n-Alkane C33; n-Alkanol average chain length; n-Alkanol C15; n-Alkanol C16; n-Alkanol C17; n-Alkanol C18; n-Alkanol C19; n-Alkanol C20; n-Alkanol C21; n-Alkanol C22; n-Alkanol C23; n-Alkanol C24; n-Alkanol C25; n-Alkanol C26; n-Alkanol C27; n-Alkanol C28; n-fatty acid C14; n-fatty acid C15; n-fatty acid C16; n-fatty acid C17; n-fatty acid C18; n-fatty acid C19; n-fatty acid C20; n-fatty acid C21; n-fatty acid C22; n-fatty acid C23; n-fatty acid C24; n-fatty acid C25; n-fatty acid C26; n-fatty acid C27; n-fatty acid C28; n-fatty acid C29; n-fatty acid C30; n-fatty acid C31; n-fatty acid C32; n-fatty acids, average chain length; peat; PEATC; Peat corer; Pollen; radiocarbon; Sample code/label; Thuringia, Germany
    Type: Dataset
    Format: text/tab-separated-values, 5185 data points
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