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This dataset includes First Snow Date(fsdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. First Snow Date is defined as day of first snow occurrence during the year(day of year). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.“Day-of-year” (doy) output is expressed in Ordinal dates (“1” on 1 January, and “365” on 31 December). Dates have not been corrected for leap years. This output is appropriate for display purposes, as it is readily interpreted as calendar day of year. It is not recommended as input for analysis, as it may produce incorrect statistics; “day-of-simulation” (dos) files should be used for that purpose.“Day-of-year”...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
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We assessed change in the seasonal timing of insect emergence from tundra ponds near Barrow, Alaska over a four-decade timespan, and explored factors that regulate this significant ecological phenomenon. The early-summer pulse of adult insects emerging from myriad tundra ponds on the Arctic Coastal Plain is an annual event historically coincident with resource demand by tundra-nesting avian consumers. Asymmetrical changes in the seasonal timing of prey availability and consumer needs may impact arctic-breeding shorebirds, eiders, and passerines. We have found evidence of change in the thermal behavior of these arctic wetlands, along with a shift in the phenology of emerging pond insects. Relative to the 1970s, tundra...
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This dataset includes Annual Average 10-M Air Temperature(tair) for northern Alaska in GeoTiff format, covering the years 1980-2012. Annual Average 10-M Air Temperature is defined as (degrees Celsius). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the SnowModel snow-process model, and the SnowAssim data assimilation...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
One of the leading models for helping to understanding temperature and precipitation –PRISM—Parameter-elevation Regressions on Independent Slopes Model—is used in Alaska and parts of Canada as input data in projections that seek to describe future scenarios of change.Currently no PRISM data are available for Northwest Territories. Researchers will develop fine scale PRISM data – 800 meter grids— for the territory. With common data across the region, scientists can better compare scenario planning across the boreal forest. The project is a collaboration among the NWB LCC, the Northwest Territories government, Agriculture Canada and Oregon State University.
David is a professor in the Department of Geography at University of Victoria, a position he has held since 2010. For the six years prior to that, he was a research scientist and professor at UAF’s International Arctic Research Center/Department of Atmospheric Sciences. He also held Post-Doc positions at Bedford Institute of Oceanography, focusing on environmental forcing of arctic coastal regions (2002-2004), and the University of Ottawa, focusing on high-arctic data issues and computer methods for hemispheric paleo-climate reconstruction (2000-2002). His PhD focused on high-arctic climate issues His primary interests centre around the “environmental forcing” of coastal zones and the analysis of large-scale weather...
Bering Sea storms introduce various environmental conditions that adversely affect human activity and infrastructure in the coastal zone and the ecosystems they depend upon. Storm impacts include interactions with sea ice in all potential states: large floes, shore-fast ice, and incipient sea-ice in frazil or slush state. In particular, sea ice can act to enhance or mitigate the impacts of adverse marine state, even as the event is occurring. Such occurrences should be part of a forecasting regimen, however scientific work has not been conducted on this phenomena, with the result that a physical model describing the formation of slush ice berms does not exist. To arrive at such a model requires visits to and input...
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The South Atlantic Conservation Blueprint is a living spatial plan to conserve natural and cultural resources for future generations. It identifies shared conservation priorities across the South Atlantic region. The third iteration of the Blueprint, Version 2.1, was released in August 2016. It used comparable methods and the same spatial scale as Blueprint 2.0, just incorporating updated information for many of the indicators. Version 2.1 was a completely data-driven plan based on ecosystem indicator models for terrestrial, freshwater, and marine environments, as well as a connectivity analysis. It used a 200 m spatial scale. More than 400 people from 100 organizations participated in the development of the Blueprint...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2016, ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, AQUATIC ECOSYSTEMS, Academics & scientific researchers, Applications and Tools, All tags...
FWS and USGS will collaborate to improve the decision science foundation of the South Atlantic Conservation Blueprint. The Blueprint prioritizes areas for shared conservation action in the South Atlantic geography. Priorities in Blueprint 2.0 are driven by natural and cultural resource indicator models and a connectivity analysis.The Conservation Blueprint is a living spatial plan for sustaining natural and cultural resources in the face of future change. More than 400 people from over 100 organizations have actively participated so far in developing the Blueprint.
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The Yukon-Kuskokwim Delta (YKD) encompasses the southernmost, warmest parts of the arctic tundra biome and is renowned for its high biological productivity and large subsistence-based human population. Ice-rich permafrost currently is widespread and strongly influences terrestrial and aquatic habitats, including local topography, vegetation, soil hydrology, and the water balance of lakes. Ground temperatures are near the freezing point, however, and recent projections indicate that the YKD is poised for widespread loss of permafrost by the end of this century. This has implications for the region’s extensive and heretofore stable terrestrial and aquatic habitats. Tundra wildfire is a common ecological “pulse” disturbance...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2016, AK-00, Academics & scientific researchers, Academics & scientific researchers, Conservation NGOs, All tags...
Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone conducting moose surveys due to the likelihood of underestimating the population. For most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, research was initiated to estimate sightability correction factors (SCFc) to apply to abundance estimates.
Global conservation prioritization usually emphasizes areas with highest species richness or where many species are thought to be at imminent risk of extinction. However, these strategies may overlook areas where many species have biological traits that make them particularly sensitive to future human impact but are not yet threatened because such impact is currently low. In this article, we identify such areas for the world's mammals using latent extinction risk, the discrepancy between a species' current extinction risk and that predicted from models on the basis of biological traits. Species with positive latent risk are currently less threatened than their biology would suggest, usually because they inhabit...
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This dataset includes Last Snow Date(lsdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Last Snow Date is defined as day of last snow occurrence during the year(day of year). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.“Day-of-year” (doy) output is expressed in Ordinal dates (“1” on 1 January, and “365” on 31 December). Dates have not been corrected for leap years. This output is appropriate for display purposes, as it is readily interpreted as calendar day of year. It is not recommended as input for analysis, as it may produce incorrect statistics; “day-of-simulation” (dos) files should be used for that purpose.“Day-of-year”...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
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This dataset includes First Snow Date(fsdt) for northern Alaska in GeoTiff format, covering the years 1980-2012. First Snow Date is defined as day of first snow occurrence during the year(day of simulation). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The simulation period runs from 1 September – 31 August. “Day-of-simulation” takes the value of “1” on 1 September, “123” on 1 January, and “365” on 31 August. “Day-of-simulation” files should be used for analysis (trend, mean, etc.).The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years,...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
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This dataset includes Solid Precipitation(spre) for northern Alaska in GeoTiff format, covering the years 1980-2012. Solid Precipitation is defined as snowfall(m/yr). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the SnowModel snow-process model, and the SnowAssim data assimilation model. These modeling tools can be...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
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This dataset consists of a polygon vector file representing 767 plots surveyed as part of the Program for Regional and International Shorebird Monitoring (PRISM). For each plot, information pertaining to shorebird abundance, occupancy, and species richness is provided. This dataset was derived from single-visit rapid area shorebird surveys in which 1-2 surveyors recorded all suspected breeding shorebirds within the plot boundary. These data were acquired over the Arctic Coastal Plain of Alaska during nine years between 1998 and 2008 (surveys not conducted in 2003 and 2005).
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The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk andrange-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
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A high spatial resolution storm surge model was developed for the YK Delta area to assess biological impacts of storm surges under current and future climates. Storm surges are expected to be more frequent and more severe in the YK Delta area due to climate change and sea level rise. The biological impacts in the YK Delta due to the changed storm surges could be extreme.The model was assessed with respect to measured water level data at the coast and, where available, spatial extent of inundation, for 6 storms from the period 1992 to 2011. In total, inundation projections from 9 historical storms (5 from the assessment + 4 others) were developed. For each storm, an spatial inundation index (time-integral of water...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ARCHAEOLOGICAL AREAS, ARCHAEOLOGICAL AREAS, Academics & scientific researchers, COASTAL AREAS, COASTAL AREAS, All tags...
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The western coastline of Alaska is highly susceptible to coastal storms, which can cause coastal erosion, flooding, and have other pernicious effects to the environment and commercial efforts. The reduction in ice coverage due to climate change could potentially increase the frequency and degree of coastal flooding and erosion. Further, estuaries and delta systems act as conduits for storm surges, so when there is less nearshore ice coverage, these systems could introduce storm surge into terrestrial environments unaccustomed to saline intrusion, flooding, or other alien biogeochemical factors.​This project quantified the effect of reduced nearshore ice coverage on coastal flooding. The project developed a large...
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This raster represents a binary prediction of distribution (present/absent) for the species based on inductive modeling of environmental suitability. WYNDD defines the distribution of a species as the fine-scale environments within its range that are suitable for occupation. A common modeling algorithm, Maxent (Phillips et al., 2004), was used to generate predictive distribution models for Wyoming's Species of Greatest Conservation Need. The resulting models were clipped to the species' respective ranges (Keinath et al., 2010). References: Keinath, D.A., M.D. Andersen and G.P. Beauvais. (2010). Range maps for Wyoming's Species of Greatest Conservation Need. Report prepared for the Wyoming Game and Fish Department...


map background search result map search result map Ecosystem Dynamics and Fate of Warm Permafrost after Tundra Wildfire and Lake Drainage on the Yukon-Kuskokwim Delta Integration of at-risk and range restricted species models and strategic conservation information into the SALCC Conservation Blueprint South Atlantic Conservation Blueprint Version 2.1 SNOWDATA GeoTIFF Annual First Snow Date (year) SNOWDATA GeoTIFF Annual First Snow Date SNOWDATA GeoTIFF Annual Last Snow Date (year) SNOWDATA GeoTIFF Annual Average 10-M Air Temperature SNOWDATA GeoTIFF Annual Solid Precipitation Model outputs Changing Seasonality of Invertebrate Food Resources across the Arctic Coastal Plain North Slope PRISM Shorebird Location and Plot Survey Geodatabase Ecosystem Dynamics and Fate of Warm Permafrost after Tundra Wildfire and Lake Drainage on the Yukon-Kuskokwim Delta Changing Seasonality of Invertebrate Food Resources across the Arctic Coastal Plain Model outputs North Slope PRISM Shorebird Location and Plot Survey Geodatabase Integration of at-risk and range restricted species models and strategic conservation information into the SALCC Conservation Blueprint South Atlantic Conservation Blueprint Version 2.1 SNOWDATA GeoTIFF Annual First Snow Date (year) SNOWDATA GeoTIFF Annual First Snow Date SNOWDATA GeoTIFF Annual Last Snow Date (year) SNOWDATA GeoTIFF Annual Average 10-M Air Temperature SNOWDATA GeoTIFF Annual Solid Precipitation