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Abstract

AbstractThis paper covers work intended to study the interplay of sedimentary dynamics and climatic variability over the last two millennia within Tunisia’s sebkha Souassi. Based on the Visual Core Description, and magnetic susceptibility, we date the core from sebkha Souassi to the last two millennia. Genetic grain-size distribution then provided a basis for the identification of six climatic stages, i.e. the Warming Present (WP), the Late Little Ice Age (Late LIA), the Early Little Ice Age (ELIA), the Medieval Climatic Anomaly (MCA), the Dark Ages (DA), and the Roman Warm Period (RWP). The WP stretches across the uppermost 3 cm, with a high grey scale indicating a dry climate. The Late LIA is located between 3 and 7 cm, and the ELIA between 7 and 28 cm. Intermediate values for GS indicate that this stage may be classified as moderate. The MCA spanning from 28 to 40 cm is marked by a sharp decrease in GS indicative of a wet period. The DA appear along the part between 40 and 79 cm, a shift from light to dark sediments being recorded. The RWP in turn appears between 79 and 114 cm. Based on the grain-size distribution, two low-frequency cycles were identified, indicating radical global changes in climatic conditions, differential tectonics and groundwater fluctuations. High-frequency cycles in turn attest to local modifications of climatic conditions.
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Abstract

AbstractThe aim of this article is to evaluate the effect of contemporary transformations in the population of Central European countries on climate change, in addition to singling out the primary points of interaction between demographic processes and the climate. In analyzing the interactions between climate and demographics, we can formulate three basic hypotheses regarding the region in question: 1) as a result of current demographic trends in Central Europe, the influence of the region on its climate will probably diminish, 2) the importance of the “climatically displaced” in global migratory movements will increase, and some of those concerned will move to Central Europe, 3) the contribution of the region to global food security will increase.In the last decade most of what comprises the region of Central Europe has reported a decline in population growth and a negative migration balance. As a process, this loss of population may have a positive effect on the environment and the climate. We can expect ongoing climate change to intensify migration processes, particularly from countries outside Europe. Interactions between climate and demographic processes can also be viewed in the context of food security. The global warming most sources foresee for the coming decades is the process most likely to result in spatial polarization of food production in agriculture. Central Europe will then face the challenge of assuring and improving food security, albeit this time on a global scale.
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Abstract

AbstractThis papers refers to demographic processes in the period from the 19th century through to the present and tries to define what they will look like in the future. Demographic trends i.a. relating to fertility, mortality, migrations, the process of family-union-household formation and dissolution, and the process of population ageing, are described by the concepts of demographic transformations: first, second and third. The transformation of demographic trends has coexisted and will coexist with globalization processes, though the scope of the mutual influence changes over time. Despite the fact that it takes place in various geographical regions, the transformation of demographic trends is characterised by high cultural diversity and socio-economic development.
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Abstract

AbstractThis paper presents the results of research dealing with forecast changes in the frequency of occurrence of heat and cold stress in Warsaw (Poland) in the years 2001-2100, and the possible influence these may exert on mortality risk. Heat and cold stress were assessed by reference to the U niversal T hermal C limate I ndex (UTC I), for which values were calculated using meteorological data derived from the MPI-M-RE MO regional climate model, at a with spatial resolution of 25 × 25 km. The simulations used boundary conditions from the EC HAMP5 Global Climate Model, for SRES scenario A1B. Predictions of mortality rate were in turn based on experimental epidemiological data from the period 1993-2002. Medical data consist of daily numbers of deaths within the age category above 64 years (TM64+). It proved possible to observe a statistically significant relationship between UTC I and mortality rates, this serving as a basis for predicting possible changes in mortality in the 21st century due to changing conditions as regards heat and cold stress.
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