We present the first pollen-based REVEALS land-cover reconstructions of Europe during the late Last Glacial period from Europe. The results are based on fossil pollen data from 61 sites in Europe and bordering regions, using 38 plant taxa in total. The reconstruction uses the "Regional Estimates of VEgetation Abundance from Large Sites"(REVEALS) model that factors in the relative pollen productivity (RPPs) and fall speed of pollen (FSP) (Sugita, 2007). All REVEALS estimates and their Standard Erorrs are given in proportions for each site in 1kyr time steps from 75 to 15 ka BP. Moreover, we provide the RPP and FSP table, which was adapted from Githumbi et al. (2022) and Serge et al. (2023). We also include REVEALS land-cover reconstructions of the same dataset, using the RPP compilation of Wieczorek & Herzschuh (2020) as well as optimized RPP data after Schild et al. (2024) to highlight the impact of different RPP data on REVEALS land-cover reconstructions.
The Covid 19 pandemic is causing considerable social and economic disruption worldwide. Short and midterm financial support measures for mitigating the acute consequences of the pandemic must be structured in a way, that they support the needed longterm changes towards a sustainable and climate-neutral society. The UBA position paper proposes an action plan for Germany, that takes into account the framework conditions for fostering a sustainable economy and that focuses on concrete measures in the building. mobility and energy sectors. As central element of all these measures, the European Green Deal must be implemented ambitiously. Quelle: https://www.umweltbundesamt.de
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, largerly unaffected by human impact. The approach is highly focused, innovative, methodologically harmonized, 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 most 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-spezific 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 measured climate data. Considerable effort will be paid to sediment sequence quality control, chronology, analytical quality control, and taxonomic consistency and harmonization throughout the work. The final result will be numerical, reliable, statistically-verifiable, precisely-dated, and spatially-weighted reconstructions of European climate within the last 10,000 years.