Austria enjoys strong material well-being and high quality of life. Steady convergence with top GDP per capita levels translated into decisive improvements in household disposable incomes while ...significant redistribution has ensured low income inequality and poverty. This has been combined with gains in leisure time, especially time spent in retirement, low unemployment, high environmental standards, rising life expectancy, a well-functioning social support network and high subjective well-being. This performance was achieved with a unique combination of supportive conditions for a dynamic business sector, priority for family based care, a wide supply of public services, and a well-functioning social partnership. Particularly remarkable for a small open economy has been the degree of stability, which may have contributed to Austria's high quality of life. However, a number of weaknesses also exist. Older, unskilled and in particular people with migrant background, have lower labour market attachments. Outcomes in education and health care are subject to inequalities. Family services are still mainly carried out by women, who have closed the gap in education attainment with men but face tensions between work and family responsibilities and a high wage gap. The gaps experienced by people with migrant background are in several dimensions larger than in the average OECD country. This Working Paper relates to the 2013 OECD Economic Survey of Austria (http://www.oecd.org/eco/surveys/austria-2013.htm). (Author's abstract, IAB-Doku).
The cycling of carbon (C) between the Earth surface and
the atmosphere is controlled by biological and abiotic processes that
regulate C storage in biogeochemical compartments and release to the
...atmosphere. This partitioning is quantified using various forms of C-use
efficiency (CUE) – the ratio of C remaining in a system to C entering that
system. Biological CUE is the fraction of C taken up allocated to
biosynthesis. In soils and sediments, C storage depends also on abiotic processes, so the term C-storage
efficiency (CSE) can be used. Here we first review and reconcile CUE and CSE
definitions proposed for autotrophic and heterotrophic organisms and
communities, food webs, whole ecosystems and watersheds, and soils and
sediments using a common mathematical framework. Second, we identify general
CUE patterns; for example, the actual CUE increases with improving growth
conditions, and apparent CUE decreases with increasing turnover. We then
synthesize > 5000 CUE estimates showing that CUE decreases with
increasing biological and ecological organization – from unicellular to
multicellular organisms and from individuals to ecosystems. We conclude that
CUE is an emergent property of coupled biological–abiotic systems, and it
should be regarded as a flexible and scale-dependent index of the capacity of
a given system to effectively retain C.
Temperate forest soils are often considered as an important sink for atmospheric carbon (C), thereby buffering anthropogenic CO2 emissions. However, the effect of tree species composition on the ...magnitude of this sink is unclear. We resampled a tree species common garden experiment (six sites) a decade after initial sampling to evaluate whether forest floor (FF) and topsoil organic carbon (Corg) and total nitrogen (Nt) stocks changed in dependence of tree species (Norway spruce—Picea abies L., European beech—Fagus sylvatica L., pedunculate oak—Quercus robur L., sycamore maple—Acer pseudoplatanus L., European ash—Fraxinus excelsior L. and small‐leaved lime—Tilia cordata L.). Two groups of species were identified in terms of Corg and Nt distribution: (1) Spruce with high Corg and Nt stocks in the FF developed as a mor humus layer which tended to have smaller Corg and Nt stocks and a wider Corg:Nt ratio in the mineral topsoil, and (2) the broadleaved species, of which ash and maple distinguished most clearly from spruce by very low Corg and Nt stocks in the FF developed as mull humus layer, had greater Corg and Nt stocks, and narrow Corg:Nt ratios in the mineral topsoil. Over 11 years, FF Corg and Nt stocks increased most under spruce, while small decreases in bulk mineral soil (esp. in 0–15 cm and 0–30 cm depth) Corg and Nt stocks dominated irrespective of species. Observed decadal changes were associated with site‐related and tree species‐mediated soil properties in a way that hinted towards short‐term accumulation and mineralisation dynamics of easily available organic substances. We found no indication for Corg stabilisation. However, results indicated increasing Nt stabilisation with increasing biomass of burrowing earthworms, which were highest under ash, lime and maple and lowest under spruce.
Highlights
We studied if tree species differences in topsoil Corg and Nt stocks substantiate after a decade.
The study is unique in its repeated soil sampling in a multisite common garden experiment.
Forest floors increased under spruce, but topsoil stocks decreased irrespective of species.
Changes were of short‐term nature. Nitrogen was most stable under arbuscular mycorrhizal species.
The current version of JSBACH incorporates phenomena specific to high latitudes: freeze/thaw processes, coupling thermal and hydrological processes in a layered soil scheme, defining a multilayer ...snow representation and an insulating moss cover. Evaluations using comprehensive Arctic data sets show comparable results at the site, basin, continental and circumarctic scales. Such comparisons highlight the need to include processes relevant to high-latitude systems in order to capture the dynamics, and therefore realistically predict the evolution of this climatically critical biome.
Temporal variability of meteorological variables and extreme weather events is projected to increase in many regions of the world during the next century. Artificial experiments using ...process-oriented terrestrial ecosystem models make it possible to isolate effects of temporal variability from effects of gradual climate change on terrestrial ecosystem functions and the system state. Such factorial experiments require two long-term climate datasets: 1) a control dataset that represents observed and projected climate and 2) a dataset with the same long-term mean as the control dataset but with altered short-term variability. Using a bias correction method, various climate datasets spanning different periods are harmonized and then combined with the control dataset with consistent time series for Europe during 1901–2100. Then, parameters of a distribution transformation function are estimated for individual meteorological variables to derive the second climate dataset, which has similar long-term means but reduced temporal variability. The transformation conserves the number of rainy days within a month and the shape of the daily meteorological data distributions, which is important to ensure that, for example, drought duration does not modify the suitability of localized vegetation type to precipitation regimes. The median absolute difference between daily data of both datasets is 5% to 20%. On average, decadal extreme values are reduced by 2% to 35%. Driving a terrestrial ecosystem model with both climate datasets shows a general higher gross primary production under reduced temporal climate variability. This effect of climate variability on productivity demonstrates the potential of the climate datasets for studying various effects of temporal variability on ecosystem state and functions over large domains.
In this paper we design a search for continuous gravitational waves from three supernova remnants: Vela Jr., Cassiopeia A (Cas A) and G347.3. These systems might harbor rapidly rotating neutron stars ...emitting quasiperiodic gravitational radiation detectable by the advanced LIGO detectors. Our search is designed to use the volunteer computing project Einstein@Home for a few months and assumes the sensitivity and duty cycles of the advanced LIGO detectors during their first science run. For all three supernova remnants, the sky positions of their central compact objects are well known but the frequency and spin-down rates of the neutron stars are unknown which makes the searches computationally limited. In a previous paper we have proposed a general framework for deciding on what target we should spend computational resources and in what proportion, what frequency and spin-down ranges we should search for every target, and with what search setup. Here we further expand this framework and apply it to design a search directed at detecting continuous gravitational wave signals from the most promising three supernova remnants identified as such in the previous work. Our optimization procedure yields broad frequency and spin-down searches for all three objects, at an unprecedented level of sensitivity: The smallest detectable gravitational wave strain h0 for Cas A is expected to be 2 times smaller than the most sensitive upper limits published to date, and our proposed search, which was set up and ran on the volunteer computing project Einstein@Home, covers a much larger frequency range.
Effects of the short-term temporal variability of meteorological variables on soil temperature in northern high-latitude regions have been investigated. For this, a process-oriented land surface ...model has been driven using an artificially manipulated climate dataset. Short-term climate variability mainly impacts snow depth, and the thermal diffusivity of lichens and bryophytes. These impacts of climate variability on insulating surface layers together substantially alter the heat exchange between atmosphere and soil. As a result, soil temperature is 0.1 to 0.8 ∘C higher when climate variability is reduced. Earth system models project warming of the Arctic region but also increasing variability of meteorological variables and more often extreme meteorological events. Therefore, our results show that projected future increases in permafrost temperature and active-layer thickness in response to climate change will be lower (i) when taking into account future changes in short-term variability of meteorological variables and (ii) when representing dynamic snow and lichen and bryophyte functions in land surface models.
The existing production methods for manufacturing of internal threads are suitable for producing detachable, high-strength joints in lightweight materials. Depending on the technology applied, there ...are process-related variations in the thread quality. Especially in the context of mass production of aluminum components, high productivity and quality are to be obtained. Innovative tapping technologies provide advanced process concepts, which allow minimized production times. In this study, the technical properties of internal threads are investigated in relation to the manufacturing process. By applying scientific valuation methods, the analysis of different tapping technologies for aluminum casting materials is achieved.
Nitrous oxide is a strong greenhouse gas and atmospheric ozone-depleting agent which is largely emitted by soils. Recently, lichens and bryophytes have also been shown to release significant amounts ...of nitrous oxide. This finding relies on ecosystem-scale estimates of net primary productivity of lichens and bryophytes, which are converted to nitrous oxide emissions by empirical relationships between productivity and respiration, as well as between respiration and nitrous oxide release. Here we obtain an alternative estimate of nitrous oxide emissions which is based on a global process-based non-vascular vegetation model of lichens and bryophytes. The model quantifies photosynthesis and respiration of lichens and bryophytes directly as a function of environmental conditions, such as light and temperature. Nitrous oxide emissions are then derived from simulated respiration assuming a fixed relationship between the two fluxes. This approach yields a global estimate of 0.27 (0.19–0.35) (Tg N2O) year−1 released by lichens and bryophytes. This is lower than previous estimates but corresponds to about 50 % of the atmospheric deposition of nitrous oxide into the oceans or 25 % of the atmospheric deposition on land. Uncertainty in our simulated estimate results from large variation in emission rates due to both physiological differences between species and spatial heterogeneity of climatic conditions. To constrain our predictions, combined online gas exchange measurements of respiration and nitrous oxide emissions may be helpful.
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