Description: Mit Hilfe palaeolimnologischer Fragestellungen soll die Klimaentwicklung im klimatisch sensiblen Waldgrenzbereich der Zentralalpen anhand eines ausgewaehlten Sees, kalibrierter Bioindikatoren und geochemischer Analytik untersucht und fuer die letzten 10000 Jahre rekonstruiert werden.
Types:
SupportProgram
Origins:
/Bund/UBA/UFORDAT
Tags:
Paläoklimatologie
?
Kalibrierung
?
Zentralalpen
?
Bioindikator
?
Evolution
?
Limnologie
?
Mensch
?
Simulation
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Sediment
?
Klima
?
Klimaentwicklung
?
Pollen
?
Umweltveränderung
?
Globale Aspekte
?
Analytik
?
Holozaen
?
Niedere-Tauern
?
Palaeolimnologie
?
License: cc-by-nc-nd/4.0
Language: Deutsch
Organisations
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Bundesministerium für Bildung, Wissenschaft und Kultur (Geldgeber*in)
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Geological Survey of Denmark and Greenland, Environmental History and Climate (Mitwirkende)
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Kommission der Europäischen Gemeinschaften Brüssel (Geldgeber*in)
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Umea Universitet, Department of Environmental Health (Mitwirkende)
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Umweltbundesamt (Bereitsteller*in)
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Universidad de Barcelona, Centre de Recerca d'Alta Muntanya (Mitwirkende)
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University Edinburgh, Science and Engineering Faculty, Department of Geology and Geophysics (Mitwirkende)
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University London, University College, Environmental Change Research Centre (Mitwirkende)
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University Uppsala, Tandemaccelerator Laboratory (Mitwirkende)
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University of Helsinki, Faculty of Science Laboratory of Physical Geography, Department of Geography (Mitwirkende)
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Universität Bergen, Botanisches Institut (Mitwirkende)
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Universität Bern, Geobotanisches Institut (Mitwirkende)
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Österreichische Akademie der Wissenschaften, Institut für Limnologie (Betreiber*in)
Time ranges:
1998-02-16 - 2001-02-16
Alternatives
-
Language: Englisch/English
Title: Climate History as Recorded by Ecologically Sensitive Arctic and Alpine Lakes in Europe During the Last 10000 Years. A Multi Proxy Approach
Description: The general lack of long-term observational climate data results in uncertainties in the understanding of global change and in the ability to predict future changes. Because of the similarities in the distribution of solar radiation and Earth boundary conditions, Holocene palaeoclimates, in particular, can offer insights into the dynamics of climate change as well as providing a means to test the validity of different circulation models (GCMs). The overall goal of this study is to improve knowledge of Holocene climate evolution and variability by producing high-resolution, multi-proxy, and quantitative climate reconstructions across Europe. A particular emphasis will be paid to the spatial and temporal variation of Holocene climates and the relevance of these patterns to the validation and improvement of GCM simulations. The reconstructions will be achieved through the analysis of the extensive and unique proxy data available from the sedimentary deposits of remote high-altitude alpine and sub-arctic European lakes, largely unaffected by human impact. The approach is highly focused, innovative, methodologically harmonised, and has an explicit multi-proxy nature. The project will improve, expand and apply existing quantitative inference models (transfer functions), based on regional quality-controlled modern organism-climate calibration data-sets, to reconstruct past climates from biological sedimentary sources such as chironomids, cladocerans, diatoms, chrysophyceans, and pollen. The mose rigorous numerical techniques available, such as weighted averaging calibration and regression techniques (WA), WA partial least squares regression (WA-PLS), and modern analoque techniques (MAT) will be used in the reconstruction along with sample-specific errors of prediction. The climate reconstructions derived from the biological data will be complemented by various geochemical and sedimentological analyses, and the overall methodology will be validated by statistical comparison with instrumentally measures climate data. Considerable effort will be paid to sediment sequence quality control, chronology, analytical quality control, and taxonomic consistency and harmonisation throughout the work. The final result will be numerical, reliable, statistically-verifiable, precisely-dated, and spatially-weighted reconstructions of European climate within the last 10000 years. These reconstructions incorporate both low-frequency and high-frequency data on climate variability. Since predictions of the effects of future climate change largely depend on the development of the climate models themselves,... Prime Contractor: University of Helsinki, Department of eography, Faculty of Science Laboratory of Physical Geography; Helsinki; Finland.
https://ufordat.uba.de/UFORDAT/pages/PublicRedirect.aspx?TYP=PR&DSNR=66837
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