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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

• Flowchart Human development  + (Flowchart Human development. See also the Input/Output Table on the introduction page.)
• Flowchart Land and biodiversity policies (C)  + (Flowchart Land and biodiversity policies (C). Policy interventions targeting the forestry sector.)
• Flowchart Land and biodiversity policies (A)  + (Flowchart Land and biodiversity policies (A). Policy interventions in the agricultural demand system.)
• Flowchart Land and biodiversity policies (B)  + (Flowchart Land and biodiversity policies (B). Policy interventions in crop and livestock production systems.)
• Flowchart Land and biodiversity policies (D)  + (Flowchart Land and biodiversity policies (D). Policy interventions that regulate land use and land supply.)
• Flowchart Land degradation  + (Flowchart Land degradation. See also the Input/Output Table on the introduction page.)
• Flowchart Land-use allocation  + (Flowchart Land-use allocation. See also the Input/Output Table on the introduction page.)
• Flowchart Livestock systems  + (Flowchart Livestock systems. See also the Input/Output Table on the introduction page.)
• Flowchart Nutrients  + (Flowchart Nutrients. See also the Input/Output Table on the introduction page.)
• Flowchart Terrestrial biodiversity  + (Flowchart Terrestrial biodiversity. See also the Input/Output Table on the introduction page.)
• Flowchart Water  + (Flowchart Water. See also the Input/Output Table on the introduction page.)
• Baseline figure Agricultural economy  + (Food availability measured in kcal per capita per day available for consumption, for initial situation (2010) and for the SSP scenarios (2100), globally and by region. (van Meijl et al., 2020b))
• Other Figure Land degradation  + (Food prices and food price effects, 2050)
• Formula1 Energy demand  + (Formula 1.)
• Formula1 Nutrients  + (Formula 1.)
• Formula1 Emissions  + (Formula 1.)
• Formula2 Energy demand  + (Formula 2.)
• Formula2 Nutrients  + (Formula 2.)
• Formula2 Livestock systems  + (Formula2)
• Formula1 Livestock systems  + (Formule1 LS)
• Policy intervention figure Flood risks  + (Future expected annual damage due to flooding depends on future climate change, but much even more on future GDP and population distribution.)
• Baseline figure Emissions  + (Future greenhouse gas emissions are mostly driven by an increase in energy use, while the relative contribution of land-use related emissions is projected to decrease.)
• Policy intervention figure Livestock systems  + (Future trends in grassland areas strongly depend on grassland management and productivity (PBL, 2012).)
• Figure6 IMAGE framework summary  + (Human development indicators)
• Figure1 IMAGE framework introduction  + (IAM models distinguished by their level of detail in economic aspects (horizontal) and biophysical/technical aspects (vertical ).)

• Icon AB  + (Impact component: Aquatic biodiversity)

• Icon EGS  + (Impact component: Ecosystem services)
• Icon FR  + (Impact component: Flood risks)
• Icon HD  + (Impact component: Human development)
• Icon LD  + (Impact component: Land degradation)
• Icon TB  + (Impact component: Terrestrial biodiversity)
• Policy intervention figure Land-use allocation  + (Impact of land-use change, protection and restoration policies on ecosystem functions (van Esch et al., 2021))
• Policy intervention figure Water/Policy issues  + (Impact of prioritizing environmental flows … Impact of prioritizing environmental flows for the SSP2 scenario on (a) the percentage of river length per basin that meets the EFR targets, (b) food production expressed as a change in yield due to lower water availability and (c) the change in nr of people at severe risk of water shortage for electricity, industries and households (living in areas where the projected consumption is less than 50% of projected demand). The results are the yearly averages for 2045–2054. (de Vos et al., 2021)rages for 2045–2054. (de Vos et al., 2021))
• 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.)