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

• GTAP database  + (Global Trade Analysis Project (GTAP))
• GUAM model  + (Global Urban Air Quality Model.<br>T … Global Urban Air Quality Model.<br>The GUAM model calculates the PM10 concentration for 3300 major cities and the resulting health effects. The model is based on the World Bank The Global Model of Ambient Particulates (GMAPS) model and includes next to demographic, geographic and meteorological conditions also emissions from major air pollutants.itions also emissions from major air pollutants.)
• GlobCover database  + (Global composites and land cover maps using as input observations from the 300m MERIS sensor on board the ENVISAT satellite mission.)
• Global emission pathways  + (Global emission pathway consistent with a specific long-term climate target.)
• Initial temperature, precipitation - grid  + (Global high resolution climate data from WorldClim.)
• Topography, elevation - grid  + (Global high resolution map of topography and elevation from NASA Shuttle Radar Topography Mission. Digital Elevation Model.)
• GLWD database  + (Global lakes and wetlands database)
• PCR-GLOBWB model  + (Global large-scale hydrological model)
• GLWD (global lakes and wetlands database) - grid  + (Global map of lakes and wetlands.)
• Road-map - grid  + (Global road map.)
• GLOBIO model  + (Globio uses results from the core models and calculates the effects of global change on terrestrial biodiversity.)
• Dataflow overview - all components  + (Graphical dataflow overview of all components.)
• Dataflow overview - driver components  + (Graphical dataflow overview of drivercomponents.)
• Dataflow overview - impact components  + (Graphical dataflow overview of impact components.)
• Dataflow overview - interaction components  + (Graphical dataflow overview of interaction components.)
• Dataflow overview - pressure components  + (Graphical dataflow overview of pressure components.)
• Dataflow overview - response components  + (Graphical dataflow overview of response components.)
• Dataflow overview - state components  + (Graphical dataflow overview of state components.)
• Grass requirement  + (Grass requirement; ruminants (nondairy cat … Grass requirement; ruminants (nondairy cattle, dairy cattle, sheep and goats) are grazing animals, and part (in mixed systems) or most (pastoral systems) of their feed is grass, hay or other roughage; this grass requirement is calculated as a fraction of the total energy (feed) requirement.on of the total energy (feed) requirement.)
• GDP per capita  + (Gross Domestic Product per capita, measured as the market value of all goods and services produced in a region in a year, and is used in the IMAGE framework as a generic indicator of economic activity.)
• HDI (human development index)  + (HDI: Development level of a country based on income, education and life expectancy.)
• HYDE database  + (HYDE includes both general topics such as … HYDE includes both general topics such as land use, population, livestock, gross domestic product (along with value added generated in industry and the service sector), and specific data on energy, the economy, atmosphere, oceans and the terrestrial environment. </br></br>The current HYDE version 3.1 is an updated and internally consistent combination of historical population estimates and improved allocation algorithms with time-dependent weighting maps for cropland and grassland are implemented, while the period covered now is extended from 10 000 BC to AD 2000. An important contribution of HYDE is that numerous historical data on population, built-up area, cropland and pasture of varying quantity and quality have been collected and streamlined into a consistent data base. With the population data from the United Nations World Population Prospects as a start (supplemented with many other historical population data sources), it serves as a central backbone for the land use part as well. Here, the data of the Food and Agricultural Organization (FAO) form the basis, and combined with many other land use data sources and the population data base, it resulted in a long term consistent population and land use data base on a high resolution 5 arc-minutes grid.e on a high resolution 5 arc-minutes grid.)
• Algal blooms in lakes  + (Harmful algal blooms in lakes caused by cyanobacteria, producing toxins harmful to humans and animals.)
• HWSD database  + (Harmonized World Soil Database)
• Forest residues  + (Harvest losses (from damaged trees and unu … Harvest losses (from damaged trees and unusable tree parts) or harvest residues that are left in the forest by purpose because of environmental concerns. These losses/residues remains in the forest after harvest, in in principle enter the soil pools. But they could also be used for other/energy purposes.ld also be used for other/energy purposes.)

• Avoiding deforestation  + (Here comes description)

• Land use and land-use intensity - grid  + (High resolution land use and land use intensity based on GLC2000 and IMAGE land cover and land use.)
• CRU database  + (Historical climate datasets)
• FAO deforestation rates  + (Historical deforestation rates according to FAO.)
• PBL  + (Home organisation of IMAGE framework)
• PQ2 (HD)  + (How are changes in the global environment likely to affect human development?)
• PQ3 (ESD)  + (How are these strategies affected by uncertainties in the energy system?)
• PQ3 (AS)  + (How can agricultural intensification increase global food production, and what policies will contribute to this?)
• PQ2 (LBP)  + (How can changes in consumption patterns contribute to achieving sustainability goals through changes in land use?)
• PQ3 (ED)  + (How can energy efficiency contribute to reducing the growth rate of energy demand and mitigate pressures on the global environment?)
• PQ1 (ES)  + (How can energy resources be exploited to meet future primary energy demand?)
• PQ2 (ES)  + (How can energy supply and demand be balanced between world regions, and how will this effect security of supply?)
• PQ1 (ESD)  + (How can energy supply and demand become more sustainable, balancing human development, security of supply, and concerns about climate change and air pollution?)
• PQ1 (LBP)  + (How can land-use policies contribute to strategies for halting biodiversity loss and reducing greenhouse gas emissions?)
• PQ1 (FM)  + (How can management influence forest capacity to meet future demand for wood and other ecosystem services?)
• PQ2 (APEP)  + (How can the goals for affordable, clean and reliable energy be achieved taking into account possible synergies and trade-offs?)
• PQ3 (AEF)  + (How can the implications of biofuels for land use and greenhouse gases be managed sustainably?)
• PQ3 (H)  + (How can water demand be reduced and still provide the adequate service levels to the sectors with the highest demand?)
• PQ1 (IF)  + (How could global environmental issues such as climate change, biodiversity loss and air pollution evolve?)
• PQ2 (CG)  + (How could management improve agricultural productivity under current and future water constraints?)
• PQ2 (EGS)  + (How could policy interventions contribute to improving future ecosystem services?)
• PQ3 (EGS)  + (How could policy interventions influence the interaction between ecosystem services and other goals and ambitions, such as the millennium development goals?)
• PQ3 (IF)  + (How could response strategies limit environmental pressures and foster more sustainable development?)
• PQ2 (VHA)  + (How do climate change and land-use management affect the land productivity of current and future agricultural land?)
• PQ1 (APEP)  + (How do energy policies contribute to economic and social development, and how do they support or hamper a more sustainable future?)
• PQ2 (LS)  + (How does the use of marginal lands for grazing increase the risk of degradation and loss of productivity, inducing more forest clearing?)