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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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To enhance the chances of restoring and protecting Puerto Rico’s beaches by synthesizing guidelines and procedures on beach characterization and profiling, planting, fertilization, irrigation, maintenance, monitoring, etc. and working to identify, inventory, and prioritize beaches that need and can accommodate stabilization with vegetation, or can become sources of plants for nursery propagation and planting. Information will include all permit requirements for beach restoration projects, including those associated with beaches used by sea turtles for nesting. Within the selected prioritized beaches the CAT will develop an education & awareness program, to demonstrate benefits, address needs & expectations and promote...
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Information on the nature and distribution of permafrost is critical to assessing the response of Arctic ecosystems to climate change, because thawing permafrost under a warming climate will cause thaw settlement and affect micro-topography, surface water redistribution and groundwater movement, soil carbon balance, trace gas emissions, vegetation changes, and habitat use. While a small-scale regional permafrost map is available, as well as information from numerous site-specific large-scale mapping projects, landscape-level mapping of permafrost characteristics is needed for regional modeling and climate impact assessments. The project addresses this need by: (1) compiling existing soil/permafrost data from available...
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The capacity of ecosystems to provide services such as carbon storage, clean water, and forest products is determined not only by variations in ecosystem properties across landscapes, but also by ecosystem dynamics over time. ForWarn is a system developed by the U.S. Forest Service to monitor vegetation change using satellite imagery for the continental United States. It provides near real-time change maps that are updated every eight days, and summaries of these data also provide long-term change maps from 2000 to the present.Based on the detection of change in vegetation productivity, the ForWarn system monitors the effects of disturbances such as wildfires, insects, diseases, drought, and other effects of weather,...
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WaSSI (Water Supply Stress Index) predicts how climate, land cover, and human population change may impact water availability and carbon sequestration at the watershed level (about the size of a county) across the lower 48 United States. WaSSI users can select and adjust temperature, precipitation, land cover, and water use factors to simulate change scenarios for any timeframe from 1961 through the year 2100.Simulation results are available as downloadable maps, graphs, and data files that users can apply to their unique information and project needs. WaSSI generates useful information for natural resource planners and managers who must make informed decisions about water supplies and related ecosystem services...
Project Goals and Objectives:1) increase the utility of the International Shorebird Survey (ISS) for making shorebird management and conservation decisions within the South Atlantic Landscape Conservation Cooperative, and2) create a single data management system that can service all partners along the Atlantic coastProject Summary:The utility of the International Shorebird Survey (ISS) has been greatly improved with an upgraded, user-friendly interface for data entry and retrieval. Manomet and ISS have contributed to the increasingly powerful citizen science bird records mechanism in eBird. Historic ISS data collected largely by volunteers as well as professional federal and state biologists over the last 40 years...
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The Gyrfalcon, the largest falcon, is an iconic bird of the circumpolar arctic and subarctic. Thisspecies nests primarily on precipitous cliff faces and typically utilizes nests built by other species(particularly Common Raven, Golden Eagle, and Rough-legged Hawk) (Booms et al. 2008).Gyrfalcon main prey includes bird species ranging in size from passerines to geese whileptarmigan are the preferred prey. Although not well documented, in winter this species movessouth throughout Canada and sometimes into the northern lower 48. Current population on theNorth Slope (tundrius subspecies) is estimated at 250 breeding pairs (USFWS 2000).
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The Database was built to enable data integration across sources, as well as to support program planning and observational network design. The Imiq Data Portal provides a snapshot of available hydroclimate data – a map-based view of where , what , and when data have been obtained. Users can submit a custom data query, specifying variable of interest, geographic bounds, and time step. Imiq will aggregate and export data records from multiple sources in a common format, with full metadata records that provide information about the source data.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ABLATION, ABLATION, ACTIVE LAYER, ACTIVE LAYER, ALBEDO, All tags...
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Baseline (1961-1990) average winter total precipitation and projected change in precipitation for the northern portion of Alaska. For the purposes of these maps, ‘winter’ is defined as December - February. The Alaska portion of the Arctic LCC’s terrestrial boundary is depicted by the black line. Baseline results for 1961-1990 are derived from Climate Research Unit (CRU) TS 3.1.01 data and downscaled to 2km grids; results for the other time periods (2010-2039, 2040-2069, 2070-2099) are based on the SNAP 5-GCM composite using the AR5-RCP 8.5, downscaled to 2km grids.
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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The Red-necked Phalarope commonly breeds in both the Brooks Range foothills and ArcticCoastal Plain of Alaska. In Alaska, this species typically nests in wet tundra near water’s edge.It differs from the Red Phalarope in that it breeds further inland and at higher elevations (Rubegaet al. 2000). Like other phalaropes, this species depends on aquatic food sources for much of itsdiet (Rubega et al. 2000). Red-necked Phalaropes spend winter at sea in tropical waters in largenumbers off the west coast of South America (Rubega et al. 2000). Current North Americanpopulation estimate is 2.5 million with a declining trend (Morrison et al. 2006).
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Average historical annual total precipitation (inches) and projected relative change in total precipitation (% change from baseline) for Northern Alaska. 30-year averages. Handout format. Maps created using the SNAP 5-GCM composite (AR5-RCP 8.5) and CRU TS3.1.01 datasets.
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The Integrated Ecosystem Model is designed to help resource managers understand the nature and expected rate of landscape change. Maps and other products generated by the IEM will illustrate how arctic and boreal landscapes are expected to alter due to climate-driven changes to vegetation, disturbance, hydrology, and permafrost. The products will also provide resource managers with an understanding of the uncertainty in the expected outcomes.
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Baseline (1961-1990) average winter temperature in and projected change in temperature for for the northern portion of Alaska. For the purposes of these maps, ‘winter’ is defined as December - February. The Alaska portion of the Arctic LCC’s terrestrial boundary is depicted by the black line. Baseline results for 1961-1990 are derived from Climate Research Unit (CRU) TS3.1 data and downscaled to 2km grids; results for the other time periods (2010-2039, 2040-2069, 2070-2099) are based on the SNAP 5-GCM composite using the AR5-RCP 8.5, downscaled to 2km grids.
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These raster datasets represent historical stand age. The last four digits of the file name specifies the year represented by the raster. For example a file named Age_years_historical_1990.tif represents the year 1990. Cell values represent the age of vegetation in years since last fire, with zero (0) indicating burned area in that year. Files from years 1860-2006 use a variety of historical datasets for Boreal ALFRESCO model spin up and calibration to most closely match historical wildfire dynamics.
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The Arctic Tern completes annual epic migrations from pole to pole covering at least 40,000 kmon their round-trip journeys. They breed throughout Arctic Alaska from boreal to tundra habitatsand have their highest nesting densities inland (Lensink 1984). Arctic Terns typically choose nestsites on open ground near water and often on small islands in ponds and lakes (Hatch 2002).Arctic terns consume a wide variety of fish and invertebrate prey, fish are particularly importantduring the breeding season for feeding young (Hatch 2002). This species spends their winters(austral summers) in offshore waters near Antarctica (Hatch 2002). Alaskan Arctic Coastal Plainpopulation estimates from 2011 range from 7-12,000 (Larned...
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The Pectoral Sandpiper is one of the most abundant breeding birds on the Arctic Coastal Plain ofAlaska. They typically have low nest site fidelity which is likely related to their promiscuousmating strategy, thus nest densities are highly variable from year to year at a given site (Holmesand Pitelka 1998). In Arctic Alaska, primary breeding habitat includes low-lying ponds in a mixof marshy to hummocky tundra and nests are typically placed in slightly raised or better drainedsites (Holmes and Pitelka 1998). Pectoral Sandpipers spend their winters primarily in southernSouth America (Holmes and Pitelka 1998). The current North American population estimate is500,000 and they are believed to be declining (Morrison et...


map background search result map search result map Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs WASSI Future Change in Water Supply Stress Index 1991-2010 ForWarn Mean Summer National Difference Vegetation Index 2009-2013 Amount of inflow stored in upstream dams-rivers Enhancing the utility of International Shorebird Survey data management Gulf Coast Prairie Conservation Planning Atlas Annual Precipitation Maps - RCP 8.5, Inches Imiq Data Portal IEM-CSC Factsheet with Supplement, 2015 Winter Precipitation Maps - RCP 8.5, Inches Pectoral Sandpiper Red-necked Phalarope Annual Temperature Maps - RCP 6.0, Fahrenheit Gyrfalcon Dunes Conservation Action Team Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919 Arctic Tern Permafrost Database Development, Characterization, and Mapping for Northern Alaska Dunes Conservation Action Team Pectoral Sandpiper Red-necked Phalarope Gyrfalcon Arctic Tern Enhancing the utility of International Shorebird Survey data management Permafrost Database Development, Characterization, and Mapping for Northern Alaska Gulf Coast Prairie Conservation Planning Atlas WASSI Future Change in Water Supply Stress Index 1991-2010 Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Amount of inflow stored in upstream dams-rivers ForWarn Mean Summer National Difference Vegetation Index 2009-2013 Imiq Data Portal IEM-CSC Factsheet with Supplement, 2015 Historical Stand Age 1870-1879 Historical Stand Age 1900-1909 Historical Stand Age 1910-1919 Annual Precipitation Maps - RCP 8.5, Inches Winter Precipitation Maps - RCP 8.5, Inches Annual Temperature Maps - RCP 6.0, Fahrenheit