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External Data Spec

No stable data source identified

External Data Spec Published 09 Nov 2012
Adhoc data sources are cited in the assessments
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Unspecified
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http://www.eea.europa.eu/data-and-maps/data/external/no-stable-data-source-identified

Related content

Produced figures

Figure The two key aspects of resource efficiency The schema shows how resource efficiency relates to the use of natural capital and ecosystem resilience.
Figure Routes for converting biomass to energy The schema shows the most common biomass categories derived from agriculture, forests and wastes, and the conversion routes that are expected to become economic by 2020.
Figure Assessing the environmental performance of bioenergy The chema outlines critical factors for the overall environmental performance of bioenergy and how the resource efficiency concept can be applied for environmental assessment.
Figure Land use and ecosystem cycles The schema illustrates the interactions between land use and important environmental cycles.
Figure Direct and indirect effects of land use for bioenergy The schema shows a simplified chain of effects that use of land for bioenergy production can bring about.
Figure The carbon debt The schema shows carbon restocking curves over time.
Figure Analytical steps in assessing the EU bioenergy potential The schema shows the analytical chain employed in assessing the EU bioenergy potential.
Figure Forest potential (PJ) and technology mix per storyline in 2020 The potential estimates refer to the EU’s agricultural bioenergy potential in 2020 for 3 storylines. These storylines explore plausible bioenergy development paths from a resource efficiency perspective under three specific sets of economic and political assumptions.
Figure Waste potential (PJ) and technology mix per storyline in 2020 The potential estimates refer to the EU’s agricultural bioenergy potential in 2020 for three storylines. These storylines explore plausible bioenergy development paths from a resource efficiency perspective under three specific sets of economic and political assumptions.
Figure National perennial cropping mixes in the ‘Resource efficiency’ storyline The graph gives an overview of the absolute contribution of perennials per type to the bioenergy potential of a country in the Resource efficiency storyline.
Figure Total domestic agricultural bioenergy potential per country in 2020 The figure shows the differences in terms of the contribution to the overall EU domestic agricultural potential.
Figure National perennial cropping mixes in the ‘Climate focus’ storyline The graph gives an overview of the absolute contribution of perennials per type to the bioenergy potential of a country in the Climate focus storyline.
Figure Total EU bioenergy potential from agriculture in 2020 The 2012 study potential estimates refer to the EU’s agricultural bioenergy potential in 2020 for 3 storylines. These storylines explore plausible bioenergy development paths from a resource efficiency perspective under three specific sets of economic and political assumptions.
Figure National perennial cropping mixes in the 'Market first' storyline The graph gives an overview of the absolute contribution of perennials per type to the bioenergy potential of a country in the market first storyline.
Figure Domestic agricultural bioenergy potential estimates in the 2006 and 2012 studies The 2012 potential estimates refer to the EU’s agricultural bioenergy potential in 2020 for 3 storylines. These storylines explore plausible bioenergy development paths from a resource efficiency perspective under three specific sets of economic and political assumptions.
Figure Exposure to traffic of children aged 3–14 years according to social status People of low social status can be more heavily exposed to traffic and traffic-related air pollutants than people of a higher social status.
Figure Projected chemicals production by region (in sales) Projected chemicals production by region (in sales) Baseline 2010–2050. China is included in the BRIICS data, but has also been singled out to show its share in the BRIICS projected chemical production.
Figure PCB levels in grey seals (a), white-tailed sea eagle eggs (b), Guillemot eggs (c) and Baltic Herring (d) in the Baltic region between 1970 and 2010 The figures shows the level of PCB in A) Grey seals B) White-tailed sea eagle eggs C) Guillemot eggs D) Baltic Herring in the Baltic region between 1970 and 2010
Figure Potential increase of life expectancy in Lombardy (left) and Malopolska (right) by abatement of inefficient residential heating with solid-fuel combustion and by abatement of road transport exhaust emissions Assessing health benefits from the reduction of air pollution — the Lombardy (Italy) and Malopolska (Poland) study
Figure Potential reduction of premature death in Lombardy (left) and Malopolska (right) by abatement of inefficient residential heating with solid-fuel combustion and by abatement of road transport exhaust emissions Assessing health benefits from the reduction of air pollution — the Lombardy (Italy) and Malopolska (Poland) study
Figure Potential reduction in life-time cancer risk in Lombardy and Malopolska by abatement of inefficient residential heating with solid fuel combustion and by abatement of road transport exhaust emissions Lombardy (Italy) and Malopolska (Poland) are two highly polluted regions in Europe, where residential heating by solid fuel combustion (wood in Italy, and coal in Poland) in small appliances is still common.
Figure Graphic cannot be produced Currently available data does not support graphic production.

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