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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.

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A list of all pages that have property "HasDescription" with value "Effective production of livestock commodities per animal per year.". Since there have been only a few results, also nearby values are displayed.

Showing below up to 26 results starting with #1.

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List of results

  • Hydropower  + (Construction of dams and reservoirs in rivers)
  • Conversion assumptions  + (Conversion assumptions.)
  • Marginal abatement cost  + (Cost of an additional unit of pollution abated (CO2eq). A marginal abatement cost curve (MAC curve) is a set of options available to an economy to reduce pollution, ranked from the lowest to highest additional costs.)
  • Adaptation costs  + (Costs for adaptation measures to reduce the vulnerability of natural and human systems to actual or expected climate change effects.)
  • World Bank database  + (Data sets collection containing development indicators on economic policy & external debt; health; education; and environment)
  • Empirical MSA effect values  + (Database of empirical relationships between environmental pressures and reduction in mean species abundance for aquatic ecosystems.)
  • Lake depth - grid  + (Database of lake depths.)
  • MSA effect values  + (Database on empirical relationships between environmental pressures and reduction in mean species abundance for terrestrial ecosystems.)
  • Investment and Capital Stock  + (Database on investment and capital stock on country level. Used to determine initial capital stocks and savings rates.)
  • Ecosystem services effect values  + (Database on relationships between environmental factors and ecosystem services.)
  • Transgression of environmental flows - grid  + (Deficit on environmental flow requirements, based on monthly discharge values)
  • Deltares  + (Deltares is an independent, institute for applied research in the field of water, subsurface and infrastructure.)
  • Forest plantation demand  + (Demand for forest plantation area.)
  • Timber demand  + (Demand for roundwood and pulpwood per region.)
  • Demand (all commodities)  + (Demand per sector including various crop and livestock sectors.)
  • Nitrogen deposition - grid  + (Deposition of nitrogen.)
  • FAIR model  + (Description of FAIR-SimCap model)
  • Livestock rations  + (Determines the feed requirements per feed type (food crops; crop residues; grass and fodder; animal products; scavenging), specified per animal type and production system (extensive/intensive/backyard/intermediate/intensive/broiler/laying hens).)
  • Learning rate  + (Determines the rate of technology development in learning equations.)
  • Financing climate policy  + (Developed countries could provide financial resources to assist developing countries by implementation of mitigation and adaptation policies. To mobilise these funds, several mechanisms exist, of which the effect can be analysed)
  • Digital water network - grid  + (Digital water network DDM30 describing drainage directions of surface water, with each cell only draining into one neighbouring cell, organising cells to river basins.)
  • N and P in wastewater discharge - grid  + (Discharge of N and P to surface water from wastewater.)
  • Distance to water - grid  + (Distance to water.)
  • EDGAR database  + (EDGAR) provides global past and present daEDGAR) provides global past and present day anthropogenic emissions of greenhouse gases and air pollutants by country and on spatial grid. The current development of EDGAR is a joint project of the European Commission JRC Joint Research Centre and the Netherlands Environmental Assessment Agency (PBL).nds Environmental Assessment Agency (PBL).)
  • ECOFYS  + (Ecofys is a leading consultancy in renewable energy, energy & carbon efficiency, energy systems & markets and energy & climate policy.)
  • Labour supply  + (Effective supply of labour input to support economic activities, taking into account the participation rate of age cohorts.)
  • Emission trading  + (Emission credits traded between regions)
  • Other energy and land-use models  + (Emission projections and marginal abatement costs curves based on external models, such as the IIASA land-use models or the POLES database.)
  • CO and NMVOC emissions  + (Emissions from CO and NMVOC.)
  • BC, OC and NOx emissions  + (Emissions of BC, OC and NO<sub>x</sub> per year.)
  • Energy demand - Cement  + (Energy demand from the cement sector)
  • TIMER model  + (Energy model of IMAGE framework)
  • WEC  + (Energy resources. Online data resource.)
  • IEA database  + (Energy statistics of OECD and non-OECD countries)
  • Coastal storm surges  + (Estimates on storm surge/tide water levels for a large number of coast segments.)
  • Effort- or burden-sharing of emission reductions  + (Evaluation of burden-sharing or effort-sharing regimes. Which regions or countries should contribute, when and by how much to reduce global greenhouse gas emissions?)
  • Reduction proposals (pledges)  + (Evaluation of current reduction proposals by countries and policy options (for the next 10-20 years).)
  • Emission factors  + (Exogenous emission factors per sector, activity and gas, mostly based on the EDGAR database.)
  • Improving energy efficiency  + (Exogenously set improvement in efficiency. Such improvements can be introduced for the submodels that focus on particular technologies, for example, in transport, heavy industry and households submodels.)
  • Change market shares of fuel types  + (Exogenously set the market shares of certaExogenously set the market shares of certain fuel types. This can be done for specific analyses or scenarios to explore the broader implications of increasing the use of, for instance, biofuels, electricity or hydrogen and reflects the impact of fuel targets.n and reflects the impact of fuel targets.)
  • Extensive grassland area - grid  + (Extensive pasture with low productivity used for grazing.)
  • FAOSTAT database  + (FAO develops methods and standards for fooFAO develops methods and standards for food and agriculture statistics, provides technical assistance services and disseminates data for global monitoring. Statistical activities at FAO include the development and implementation of methodologies and standards for data collection, validation, processing and analysis. FAO also plays a vital part in the global compilation, processing and dissemination of food and agriculture statistics, and provides essential statistical capacity development to member countries. capacity development to member countries.)
  • Fish landing - grid  + (Fish landings according to statistics from "Sea around us".)
  • Food availability per capita  + (Food availability per capita.)
  • Food availability, including fish and wild food  + (Food availability, including fish and wild food.)
  • Forest management type - grid  + (Forest management type: clear cut, selective logging, forest plantation or additional deforestation.)
  • IIASA  + (Founded in 1972, the International InstituFounded in 1972, the International Institute for Applied Systems Analysis (IIASA) conducts policy-oriented research into problems of a global nature that are too large or too complex to be solved by a single country or academic discipline.IIASA is sponsored by its National Member Organizations in Africa, Asia, Europe, and the Americas. Its research is independent and completely unconstrained by political or national self-interest.ed by political or national self-interest.)
  • Crop fraction in agricultural area - grid  + (Fraction of agricultural land by crop type, per grid cell.)
  • Harvest efficiency  + (Fraction of harvested wood used as product, the remainder being left as residues. Specified per biomass pool and forestry management type.)
  • Manure spreading fraction  + (Fraction of manure produced in staples that is spread on agricultural areas.)