Search by property

This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

List of results

• Policy intervention figure Forest management  + (Improved forest management can contribute to reducing biodiversity loss (measured in MSA, see Component Terrestrial biodiversity ).)
• Baseline figure Aquatic biodiversity  + (In a baseline scenario, aquatic biodiversity is projected to decrease further.)
• Policy intervention figure Atmospheric composition and climate  + (In addition to ‘conventional’ climate poli … In addition to ‘conventional’ climate policy, there may be situations where urgent action on climate change is required, either via rapid mitigation, or via Solar Radiation Management (SRM) (e.g. sulphur emissions to the stratosphere). Radiative forcing is immediately stabilised at the intended level by SRM, and also temperatures are adjusted immediately (though not yet at the equilibrium level), and even faster under extreme SRM than would be possible through strong mitigation. However, substantial uncertainties and risks are related to such drastic manipulations of the radiation balance.ic manipulations of the radiation balance.)
• Baseline figure Atmospheric composition and climate  + (In the policy scenarios, emissions decreas … In the policy scenarios, emissions decrease strongly after 2020, while concentration levels only decrease or stabilise after 2050. Global mean temperature, due to inertia in the climate system, will not stabilise until the end of this century under the most ambitious climate policy scenario (2.6 W/m²).ate policy scenario (2.6 W/m²).)
• Baseline figure Energy conversion  + (Increase in primary energy demand for electricity production is dominated by coal, despite a rapid growth of renewable energy.)
• Policy intervention figure Carbon cycle and natural vegetation II  + (Increasingly strict REDD regimes might lead to substantial reduction in cumulative terrestrial CO₂ emission (Overmars et al., 2014).)
• Baseline figure Flood risks  + (Inundation depth of 30-year flood scaled down to Bangladesh (left); The estimated annual damage due to floods (not only due to a 30-year event) is more concentrated when applying the land-use method compared to the population method.)
• Baseline figure Terrestrial biodiversity  + (Land-use change and encroachment are projected to remain the most important drivers of biodiversity loss, but climate change will also become a significant pressure.)
• USS landcover map  + (Landcover map from USS)
• Landcover - scenario comparison  + (Landcover of four RIO+20 scenarios in 2050)
• Icon I  + (Main impact component: Impact)
• Icon ALU  + (Main pressure component: Agriculture and land use)
• Icon ESD  + (Main pressure component: Energy supply and demand)
• Icon VHA  + (Main state components: Carbon, vegetation, agriculture and water)
• ModelComponentMappingFigure  + (Mapping of IMAGE framework components to the computer models.<br/> Note: Land-use emissions are also calculated in LPJmL.)
• Baseline figure Land-use allocation  + (Natural land conversion in selected SSP scenarios for the 2020-2100 period (van Vuuren et al., 2021))
• PFT to NLCT  + (Natural land cover type (biome) classifica … Natural land cover type (biome) classification from area shares of individual Plant Functional Types (PFT)s (expresses as foliage projected cover, FPC) and mean annual temperature (Tmean). Subscripts of FPC refer to individual PFTs (1: tropical broadleaved evergreen, 2: tropical broadleaved raingreen, 3: temperate needleleaved evergreen, 4: temperate broadleaved evergreen, 5: temperate broadleaved summergreen, 6: boreal summergreen, 7: boreal needleleaved evergreen, 8: C3 herbaceous, 9: C4 herbaceous), tropical PFTs (“trop”) are PFTs 1 and 2, temperate PFTs (“temp”) are PFTs 3-5, boreal PFTS (“bor”) are PFTs 6 and 7, tree PFTs (“tree”) are PFTs 1-7, grass PFTs are PFTs 8 and 9.are PFTs 1-7, grass PFTs are PFTs 8 and 9.)
• Baseline figure Energy supply  + (Over time the share of most important energy producers for different forms of energy changes. This has implications for energy security.)
• Icon PR  + (Policy responses)
• Icon AEF  + (Pressure component: Agricultural economy)
• Icon E  + (Pressure component: Emissions)
• Icon EC  + (Pressure component: Energy conversion)
• Icon ED  + (Pressure component: Energy demand)
• Icon ES  + (Pressure component: Energy supply)
• Icon FM  + (Pressure component: Forest management)

• Icon AS  + (Pressure component: Land-use allocation)

• Icon LS  + (Pressure component: Livestock systems)
• Policy intervention figure Drivers  + (Projected total world GDP in the OECD envi … Projected total world GDP in the OECD environmental outlook (OECD, 2012) and in the SSP scenarios according to OECD (left), per world region in SSP2 according to OECD (middle) and according to different sources for SSP3 (right). GDP (Gross Domestic Product) is shown in purchasing power parity (ppp), SSP data from the SSP database (IIASA, 2013). data from the SSP database (IIASA, 2013).)
• USS region selection  + (Region selection with coupled dimension)
• Baseline figure Water II  + (Regions vulnerable to crop production losses due to shortages in irrigation water (Biemans, 2012).)
• Icon APEP  + (Response component: Air pollution and energy policies)
• Icon CP  + (Response component: Climate policy)
• Icon LBP  + (Response component: Land and biodiversity policies)
• Policy intervention figure Land and biodiversity policies  + (Results of several interventions in declining biodiversity loss (PBL, 2010))
• Policy intervention figure Climate policy  + (Scenario results describing emission pathw … Scenario results describing emission pathways representing optimal and delayed policy action (Copenhagen pledges) in 2020, in terms of CO₂ emission (including land use), associated radiative forcing (including all gases and aerosol forcing), and global mitigation costs (as percentage of GDP).), and global mitigation costs (as percentage of GDP).)
• USS load scenario  + (Select and load scenarios)
• USS select scenario dimension  + (Select scenario in dimension dimension dialog)
• Policy intervention figure Nutrients  + (Several policy interventions can lead to a reduction in the global soil nitrogen budget compared to a baseline scenario (Bouwman et al., 2013c).)
• Policy intervention figure Terrestrial biodiversity  + (Several policy interventions in land-use regulation, production and demand systems could prevent some of the biodiversity loss projected in the baseline. The single largest effects can be expected from closing the yield gap, and from dietary changes.)
• Flowchart Energy demand  + (Some sectors are represented in a generic way as shown here, the sectors transport, residential and heavy industry are modelled in specific modules.)
• Icon ACC  + (State component: Atmospheric composition and climate)
• Icon NVCC  + (State component: Carbon cycle and natural vegetation)
• Icon CG  + (State component: Crops and grass)
• Icon LCU  + (State component: Land cover and land use)
• Icon N  + (State component: Nutrients)
• Icon H  + (State component: Water)
• ElementSummary References  + (Summary of elements in All reference page)
• ElementSummary Uncertainties  + (Summary of elements in Data uncertainties and limitations page)
• ElementSummary Description  + (Summary of elements in Detailed description page)
• ElementSummary Introduction  + (Summary of elements in Introduction page)
• ElementSummary Policy Issues  + (Summary of elements in Policy issues page)