929 resultados para fragmentation and integration
Resumo:
THIS DOCUMENT CONTAINS A COLLECTION OF ARTICLES WHICH ARE AVAILABLE ON THE ARCHIVE AS SEPARATE ARTICLES. There has been a lot of attention on the current transition of power taking place in Brussels. The new EU leadership will be confronted with a number of internal and external challenges. They will have deal with economic stagnation, the negative effects of fragmentation and the need to increase the Union's legitimacy. There is no better moment to take stock of the ‘state of the Union’ and to look ahead into the next European political cycle (2014-2019), focusing not on personalities but on content: what challenges do we face and what should the EU focus on in the coming years? These new beginnings will encounter new challenges, and who better understands the issues than some of the key players in European politics. Challenge Europe brings these players together and explores what social, political and economic challenges are facing Europe, and its’ citizens.
Resumo:
Since 2007, a series of acute crises have threatened the very existence of the euro area. The financial crisis which spilled into the currency union in 2007 was followed by an unexpectedly strong downturn of the real economy. As of 2010, the euro area was confronted with a severe sovereign debt and banking crisis. Despite these troublesome developments, the euro area has proven to have a considerable degree of resilience. In each phase, governance weaknesses were revealed – and national governments together with the EU institutions have designed an impressive series of policy responses in crisis management and institutional innovation. The euro area today is completed by a banking union with a Single Supervisory and a Single Resolution Mechanism. National budgetary and economic policies are more closely overseen and coordinated. With the European Stability Mechanism, the euro area now has a permanent tool in place to manage sovereign liquidity crises and instabilities in the banking sector. Most importantly, the euro area's only true federal institution, the European Central Bank (ECB), has become its most effective crisis manager: with the announcement of its Outright Monetary Transactions (OMT) programme, the ECB finally managed to calm the self fulfilling crisis in 2012. Meanwhile, the announcement of credit easing and quasi-quantitative easing in September 2014 is a move towards reducing financial fragmentation and countering deflation. The euro area in 2014 is hence a lot different from the one in 2007. And yet, further challenges need to be overcome. Prevailing stagnation, fragmentation and problems of legitimacy require a rethink of policies and further governance reform.
Resumo:
Differentiated Europe can be analysed in terms of the three meta-challenges outlined in this publication – stagnation, fragmentation and legitimacy. My argument is simple: stagnation or the prospect of it has been a catalyst for differentiation, fragmentation poses a risk of differentiation gone too far and legitimacy of differentiation is embedded on institutional cohesion and good results.
Resumo:
Russia in 2004 politely rejected the offer to become a participant in the European Neighbourhood Policy, preferring instead to pursue bilateral relations with the EU under the heading of ‘strategic partnership’. Five years later, its officials first reacted with concern to the ENP’s eastern dimension, the Eastern Partnership initiative. Quickly, however, having become convinced that the project would not amount to much, their concern gave way to indifference and derision. Furthermore, Russian representatives have failed to support idealistic or romantic notions of commonality in the area between Russia and the EU, shunned the terminology of ‘common European neighbourhood’ and replaced it in EU-Russian documents with the bland reference to ‘regions adjacent to the EU and Russian borders’. Internally, the term of the ‘near abroad’ was the official designation of the area in the Yeltsin era, and unofficially it is still in use today. As the terminological contortions suggest, Moscow officials consider the EU’s eastern neighbours as part of a Russian sphere of influence and interest. Assurances to the contrary notwithstanding, they look at the EU-Russia relationship as a ‘zero-sum game’ in which the gain of one party is the loss of the other. EU attempts to persuade the Russian power elite to regard cooperation in the common neighbourhood not as a competitive game but providing ‘win-win’ opportunities have been to no avail. In fact, conceptual approaches and practical policies conducted vis-à-vis the three Western CIS countries (Belarus, Ukraine and Moldova) and the southern Caucasus (Georgia, Armenia and Azerbaijan) confirm that, from Moscow’s perspective, processes of democratisation, liberalisation and integration with Western institutions in that region are contrary to Russian interests. In each and every case, therefore, the area’s ‘frozen conflicts’ have not been regarded by the Kremlin as an opportunity to promote stability and prosperity in the countries concerned but as an instrument to prevent European choices in their domestic and foreign policy. The current ‘reset’ in Russia’s relations with the United States and the ‘modernisation partnership’ with the EU have as yet failed to produce an impact on Russia’s policies in ‘its’ neighbourhood. The EU is nevertheless well advised to maintain its course of attempting to engage that country constructively, including in the common neighbourhood. However, its leverage is small. For any reorientation to occur in Moscow towards perceptions and policies of mutual benefit in the region, much would depend on Russia’s internal development.
Resumo:
The European Union (EU) is widely acknowledged as a successful example of economic and political integration of nation states today – a slate of democratic institutions such as the European Parliament have also been developed and European citizens now possess extensive political and civil rights by virtue of the introduction of European citizenship. Nevertheless, the EU is said to suffer from a so called “democratic deficit” even as it seeks deeper and closer integration. Decades of institutional design and elite closed-door decisions has taken its toll on the inclusion and integration of European citizens in social and political life, with widening socio-economic inequalities and the resurgence of extreme-right parties during in the wake of the debt crisis in the Eurozone. This paper attempts to evaluate the democratic development of the EU through the use of a process-oriented approach, and concludes at the end with discussions on the various options that the EU and its citizens can take to reform democratic processes and institutions in Europe.
Resumo:
The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
Resumo:
The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
Resumo:
The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
Resumo:
The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
Resumo:
Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
Resumo:
Acoustic and pelagic trawl data were collected during various pelagic surveys carried out by IFREMER in May between 2000 and 2012 (except 2001), on the eastern continental shelf of the Bay of Biscay (Pelgas series). The acoustic data were collected with a Simrad EK60 echosounder operating at 38 kHz (beam angle at -3 dB: 7°, pulse length set to 1.024 ms). The echosounder transducer was mounted on the vessel keel, at 6 m below the sea surface. The sampling design were parallel transects spaced 12 nm apart which were orientated perpendicular to the coast line from 20 m to about 200 m bottom depth. The nominal sailing speed was 10 knots and 3 knots on average during fishing operations. The scrutinising (species identification) of acoustic data was done by first characterising acoustic schools by type and then linking these types with the species composition of specific trawl hauls. The data set contains nautical area backscattering values, biomass and abundance estimates for blue whiting for one nautical mile long transect lines. Further information on the survey design, scrutinising and biomass estimation can be found in Doray et al. 2012.
Resumo:
Blue whiting (Micromesistius poutassou, http://www.marinespecies.org/aphia.php?p=taxdetails&id=126439) is a small mesopelagic planktivorous gadoid found throughout the North-East Atlantic. This data contains the results of a model-based analysis of larvae captured by the Continuous Plankton Recorder (CPR) during the period 1951-2005. The observations are analysed using Generalised Additive Models (GAMs) of the the spatial, seasonal and interannual variation in the occurrence of larvae. The best fitting model is chosen using the Aikaike Information Criteria (AIC). The probability of occurrence in the continous plankton recorder is then normalised and converted to a probability distribution function in space (UTM projection Zone 28) and season (day of year). The best fitting model splits the distribution into two separate spawning grounds north and south of a dividing line at 53 N. The probability distribution is therefore normalised in these two regions (ie the space-time integral over each of the two regions is 1). The modelled outputs are on a UTM Zone 28 grid: however, for convenience, the latitude ("lat") and longitude ("lon") of each of these grid points are also included as a variable in the NetCDF file. The assignment of each grid point to either the Northern or Southern component (defined here as north/south of 53 N), is also included as a further variable ("component"). Finally, the day of year ("doy") is stored as the number of days elapsed from and included January 1 (ie doy=1 on January 1) - the year is thereafter divided into 180 grid points.
Resumo:
Data were collected during various groundfish surveys carried out by IFREMER from October to December between 1997 and 2011, on the eastern continental shelf of the Bay of Biscay and in the Celtic Sea (EVHOE series). The sampling design was stratified according to latitude and depth. A 36/47 GOV trawl was used with a 20 mm mesh codend liner. Haul duration was 30 minutes at a towing speed of 4 knots. Fishing was restricted to daylight hours. Catch weights and catch numbers were recorded for all species and body size measured. The weights and numbers per haul were transformed into abundances per km**2 by considering the swept area of a standard haul (0.069 km**2).
Resumo:
Shipping list no.: 2011-0418-P (pt. 1), 2011-0423-P (pt. 2A), 2011-0426-P (pt. 2B), 2011-0439-P (pt. 3), 2011-0432-P (pt. 4), 2012-0085-P (pt. 5), 2012-0221-P (pt. 6), 2012-0256-P (pt. 7).