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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Vegetation history and archaeobotany 8 (1999), S. 185-197 
    ISSN: 1617-6278
    Keywords: Pollen analysis ; Farming history ; Woodland dynamics ; Modern pollen analogues ; Holocene ; Estonia
    Source: Springer Online Journal Archives 1860-2000
    Topics: Archaeology , Biology
    Notes: Abstract Pollen profiles, based cores taken in Lake Kahala and from the adjoining mire, were used to establish general vegetation history and to reconstruct the extent and types of land-use over most of the Holocene. Modern pollen deposition was studied using moss polsters and the results were used in the interpretation of the fossil pollen data in terms of former land-use practices. The modern-day samples are from settlements, hay meadow and pasture, and overgrown pasture. Indications of human activity can be traced back to the Stone Age. At ca. 6400 cal. B.C., the first indications of possible woodland utilisation by humans are recorded. This may have involved grazing within the forests. From 4200 cal. B.C. onwards, animal husbandry with changing intensity was practised. Arable farming, involving cereals, was introduced to the area at ca. 1800 cal. B.C., but it was only at ca. 500 cal. B.C. that it assumed an important role in the farming economy.Secale cereale (rye) was introduced during the Roman Iron Age, intensive rye cultivation started at the end of the Iron Age, at ca. cal. A.D. 800. Ever increasing farming pressures triggered the formation of openalvars. Open landscape similar to that of today has persisted, with minor forest regeneration phases, since at least 500 cal. B.C.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2023-06-14
    Description: We compare Holocene tree-cover changes in Europe derived from a transient MPI-ESM1.2 simulation with high spatial resolution LPJ-GUESS time-slice simulations and pollen-based quantitative reconstructions of tree cover based on the REVEALS model. The dynamic vegetation models and REVEALS agree with respect to the general temporal trends in tree cover for most parts of Europe, with a large tree cover during the mid-Holocene and a substantially smaller tree cover closer to the present time. However, the decrease in tree cover in REVEALS starts much earlier than in the models indicating much earlier anthropogenic deforestation than the prescribed land-use in the models. While LPJ-GUESS generally overestimates tree cover compared to the reconstructions, MPI-ESM indicates lower percentages of tree cover than REVEALS, particularly in Central Europe and the British Isles. A comparison of the simulated climate with chironomid-based climate reconstructions reveals that model-data mismatches in tree cover are in most cases not driven by biases in the climate. Instead, sensitivity experiments indicate that the model results strongly depend on the tuning of the models regarding natural disturbance regimes (e.g. fire and wind throw). The frequency and strength of disturbances are – like most of the parameters in the vegetation models – static and calibrated to modern conditions. However, these parameter values may not be valid during climate and vegetation states totally different from todays. In particular, the mid-Holocene natural forests were probably more stable and less sensitive to disturbances than present day forests that are heavily altered by human interventions. Our analysis highlights the fact that such model settings are inappropriate for palaeo-simulations and complicate model-data comparisons with additional challenges. Moreover, our study suggests that land-use is the main driver of forest decline in Europe during the mid- and late-Holocene.
    Type: Article , PeerReviewed
    Format: text
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  • 3
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Age, 14C liquid scintillation counter; Age, dated; Age, dated, error to older; Age, dated, error to younger; Age, dated material; Core14; DEPTH, sediment/rock; JARVEOTS; Lake Jarveotsa, Estonia; RPC; Russian peat corer; Sample, optional label/labor no; Thickness
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
    Location Call Number Limitation Availability
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  • 4
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Core14; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; JARVEOTS; Lake Jarveotsa, Estonia; Lithology/composition/facies; RPC; Russian peat corer
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
    Location Call Number Limitation Availability
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  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Core14; Density, dry bulk; DEPTH, sediment/rock; JARVEOTS; Lake Jarveotsa, Estonia; Loss on ignition; Muffel furnace; Muffel furnace, 500 °C, LOI; RPC; Russian peat corer; Thickness
    Type: Dataset
    Format: text/tab-separated-values, 373 data points
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  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, comment; Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated standard deviation; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; DEPTH, sediment/rock; EPD; Estonia; PC; Piston corer; Sample, optional label/labor no; Thickness; Viitna Pikkjärv; VIPI
    Type: Dataset
    Format: text/tab-separated-values, 76 data points
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  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EPD; Estonia; Lithology/composition/facies; PC; Piston corer; Viitna Pikkjärv; VIPI
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 8
    facet.materialart.
    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, comment; Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; DEPTH, sediment/rock; EPD; Estonia; KAHA; Lake Kahala; RUSC; Russian corer; Sample, optional label/labor no; Thickness
    Type: Dataset
    Format: text/tab-separated-values, 109 data points
    Location Call Number Limitation Availability
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  • 9
    facet.materialart.
    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EPD; Estonia; KAHA; Lake Kahala; Lithology/composition/facies; RUSC; Russian corer
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
    Location Call Number Limitation Availability
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  • 10
    facet.materialart.
    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-06-27
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, comment; Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Comment; DEPTH, sediment/rock; EPD; Estonia; Lake Ruila; RUI_EPD; RUSC; Russian corer; Sample, optional label/labor no; Thickness
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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