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GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (releves) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001;... 1,000 m(2)) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetationplot databases, such as the European Vegetation Archive (EVA) and the global database " sPlot". Its main aim is to facilitate studies on the scale-and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board.
Giving less by doing more? Dynamics of social policy expansion and dismantling in 18 OECD countries
(2014)
Protection against social risks is generally popular among voters and should enjoy the benefits of institutional inertia. Yet retrenchment occurs rather frequently in advanced welfare states without this systematically leading to electoral punishment. We solve this paradox by, first, arguing that governments can avoid the blame of retrenchment by pursuing a strategy of expansionary dismantling' where new policies and instruments are used to compensate reform losers and to obfuscate cutbacks. Second, we test our argument with a huge new dataset consisting of changes in unemployment legislation and replacement rates in 18 OECD countries from 1976 to 2000. The statistical tests provide robust support for our argument, suggesting that the introduction of new policies and instruments leads to cutbacks in replacement rates. We also find that left-leaning governments are least likely to engage in expansionary dismantling.