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This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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The Global Human Footprint Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Human Footprint Index (HF) expressses as a percentagethe relative human influence in each...
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The Global Human Footprint Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Human Footprint Index (HF) expressses as a percentagethe relative human influence in each...
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This inventory was originally created by the Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) describing the landslides triggered by the M 7.7 San Miguel, El Salvador earthquake that occurred on 13 January 2001 at 17:33:32 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and...
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This inventory was originally created by Xu and others (2014) describing the landslides triggered by the M 5.9 Gansu, China earthquake, also known as the Minxian - Zhangxian earthquake, that occurred on 21 July 2013 at 23:45:56 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata...
These data are netcdf files of the projected timing of the onset of thermal stress severe enough (>8 Degree Heating Weeks) to cause coral bleaching 2x per decade and 10x per decade (annual) under emissions scenarios RCP8.5 and RCP4.5. The projected timing (a year between 2006 and 2100) is the data value. Values are only shown for the ~60,000 four-km pixels where coral reefs are known to occur.
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The Global Human Influence Index Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Human Influence Index (HII) is a measure of direct human influence on terrestrial ecosystems using the best available data sets on human settlement (population...
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This inventory was originally created by Gorum and others (2014) describing the landslides triggered by a sequence of earthquakes, with the largest being the M 6.2 17 km N of Puerto Aisen, Chile earthquake that occurred on 21 April 2007 at 23:45:56 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory includes landslides triggered by a sequence of earthquakes rather than a single mainshock. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory...
Improving energy efficiency is the most effective and least expensive way to reduce carbon dioxide (C02) emissions in most industrialized nations - including the UK. A report from the UKAEA's own Energy Technology Support Unit concludes that energy efficiency can displace nearly four times more C02 than nuclear power can - more quickly and more cost-effectively. Each pound invested in efficient lighting can displace four to five times as much C02 as a pound invested in new nuclear power. Meanwhile, given recent dramatic progress in renewable energy technologies, the most promising long-term COz-abatement strategy may be a synergistic combination of energy efficiency and renewable energy.
Our responses to the emerging challenges of energy planning have to be faster and more effective than they have been so far. While the Gulf war has forced us to realise the danger, it is to be hoped that the solutions that are sought will take the form not of short-term palliatives but of a new direction in our planning effort. Sixth of a series of articles discussing the broad approach of the Planning Commission under the V P Singh government.
High-temporal resolution meteorological output from the Parallel Climate Model (PCM) is used to assess changes in wildland fire danger across the western United States due to climatic changes projected in the 21st century. A business-as-usual scenario incorporating changing greenhouse gas and aerosol concentrations until the year 2089 is compared to a 1975 - 1996 base period. Changes in relative humidity, especially drying over much of the West, are projected to increase the number of days of high fire danger ( based on the energy release component (ERC) index) at least through the year 2089 in comparison to the base period. The regions most affected are the northern Rockies, Great Basin and the Southwest - regions...
We have developed a state-scale version of the MARKAL energy optimization model, commonly used to model energy policy at the US national scale and internationally. We apply the model to address state-scale impacts of a renewable electricity standard (RES) and a carbon tax in one southeastern state, Georgia. Biomass is the lowest cost option for large-scale renewable generation in Georgia; we find that electricity can be generated from biomass co-firing at existing coal plants for a marginal cost above baseline of 0.2-2.2 cents/kWh and from dedicated biomass facilities for 3.0-5.5 cents/kWh above baseline. We evaluate the cost and amount of renewable electricity that would be produced in-state and the amount of out-of-state...
This paper presents information relevant to rule-making for geopressuredgeothermal development on state-owned lands. The analysis is focused on those potential social and economic effects of resource development, if any, which may require special attention during the leasing and permitting process. For the most part, many of the expected socioeconomic impacts are not unique to geothermal development, but are already being felt by residents of the fairways because of ongoing developmental activities. The social and economic impacts likely to result from resource development depend upon characteristics specific to the site and surrounding social and economic systems. Specific impacts and their probability, magnitude,...
This paper presents information relevant to rule-making for geopressuredgeothermal development on state-owned lands. The analysis is focused on those potential social and economic effects of resource development, if any, which may require special attention during the leasing and permitting process. For the most part, many of the expected socioeconomic impacts are not unique to geothermal development, but are already being felt by residents of the fairways because of ongoing developmental activities. The social and economic impacts likely to result from resource development depend upon characteristics specific to the site and surrounding social and economic systems. Specific impacts and their probability, magnitude,...
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A comprehensive list of 38 categories of anthropogenic drivers of change in marine ecosystems developed through expert workshops (S1) was assessed for data availability on a global scale. We intentionally did not further subdivide these categories into unique drivers (e.g. each specific type of pollutant) as this would lead to over-emphasis of certain activities when impacts are summed. We limited our analyses to anthropogenic drivers with pre-existing global coverage or those for which we could assemble or develop global coverage. Although many regional-scale data and data with a global scope but incomplete coverage exist for a variety of specific human activities, inclusion of these data would bias global comparisons...
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The CRU temperature data were unmodified from the source. This particular map is an average for all months for the years 1961-1990.
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A comprehensive list of 38 categories of anthropogenic drivers of change in marine ecosystems developed through expert workshops (S1) was assessed for data availability on a global scale. We intentionally did not further subdivide these categories into unique drivers (e.g. each specific type of pollutant) as this would lead to over-emphasis of certain activities when impacts are summed. We limited our analyses to anthropogenic drivers with pre-existing global coverage or those for which we could assemble or develop global coverage. Although many regional-scale data and data with a global scope but incomplete coverage exist for a variety of specific human activities, inclusion of these data would bias global comparisons...
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The Global Human Footprint Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN). Note: Data Basin does not allow downloads of this dataset. If you wish to download this data,...
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The Last of the Wild represents the least influenced (most wild) areas of major terrestrial biomes. Most wild in each biome are defined as areas with Human Footprint Index values less than or equal to 10. The map shows the distribution of what remains the least influenced areas in each biome. The Last of the Wild Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is derived from the LWP-2 Human Footprint Dataset. The gridded data are classified according to their raster value (wild = 0-10; not wild >10). The ten largest polygons of more than 5 square kilometers within each biome by realm are selected and identified. The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia...


map background search result map search result map Global Cumulative Human Impacts to Marine Ecosystems Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with HADCM3 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with CSIRO Mk3.0 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Global Average Annual Sum Precipitation (mm) for CRU TS 2.0 at a ½ Degree Grid Resolution (1961-1990) Last of the Wild terrestrial biomes, North America (2005) Human Influence Index, Africa (2005) Human footprint, Asia (2005) Human footprint, Europe (2005) Human footprint, Oceania (2005) Gorum and others (2014) Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) Xu and others (2014) Xu and others (2014) Gorum and others (2014) Human footprint, Europe (2005) Last of the Wild terrestrial biomes, North America (2005) Human footprint, Asia (2005) Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with HADCM3 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with CSIRO Mk3.0 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Human Influence Index, Africa (2005) Human footprint, Oceania (2005) Global Average Annual Sum Precipitation (mm) for CRU TS 2.0 at a ½ Degree Grid Resolution (1961-1990) Global Cumulative Human Impacts to Marine Ecosystems