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We propose to support the revision and implementation of the South Atlantic Landscape Conservation Cooperative’s Conservation Blueprint by integrating its Ecosystem Indicators into a structured decision support system that makes explicit how the Indicators are interrelated and how these will respond to management and policy interventions aimed at improving the conservation status of the South Atlantic region. Our specific objectives are to (1) develop ecological production functions that predict theecological impacts of selected conservation actions relative to current conditions, and to propagate these impacts through other affected systems or functions; (2) codify protocols for updating and curating geospatial...
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This dataset includes Snow Free Date(sfdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Free Date is defined as day of the end of the core snow period(day of year). The core snow season is defined to be the longest period of continuous snow cover in each 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...
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 Snow Depth(snod) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Depth is defined as depth on 1 March(m). 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 thought of as...
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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The project objectives are as follows: To map out current and future levels of habitat connectivity in the South Atlantic region, from the standpoint of multiple groups of terrestrial wildlife species; 2. To prioritize key corridors and linkage areas based on their relative importance and centrality within the overall habitat network and their relative influence on the viability of target wildlife populations; 3. To publish data layers representing the outcomes from the first two objectives, in such a way as to significantly improve conservation decision-making across the South Atlantic LCC region
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This dataset includes Snow Up Date(sudt) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Up Date is defined as day of the start of the core snow period(day of simulation). The core snow season is defined to be the longest period of continuous snow cover in each year. 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...
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 contains rasters that represent mapped habitat suitability indices for 8 shorebird species, a raster that represents mean habitat suitability indices for all 8 species, and a raster that represents the number of species in which the habitat suitability index exceeded the selected threshold value for each pixel. The shorebird species used for this modeling effort are American Golden-Plover [AMGP], Black-bellied Plover [BBPL], Dunlin [DUNL], Long-billed Dowitcher [LBDO], Pectoral Sandpiper [PESA], Red Phalarope [REPH], Red-necked Phalarope [RNPH], and Semipalmated Sandpiper [SESA].
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The USGS Southeast Ecological Science Center (SESC) Nonindigenous Aquatic Species (NAS) database provides records of sightings and capture data of non-native (introduced) aquatic species over the entire the United States (Benson 1999). For areas within the SALCC region, the NAS currently contains records dating back to 1885 for over 200 nonindigenous plant and animal species. This project seeks to utilize these data along with new GIS-based data on current and future (e.g. SLEUTH) landscape and climate parameters to develop models of invasive species introductions and dispersal across the SALCC region. Both multi- and single species models will be considered in these analyses. We will then utilize a formal decision-analytic...
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Sea level rise (SLR) and disturbances from increased storm activity are expected to diminish coastal habitats available for sea turtle, seabird, shorebird, and beach mouse nesting by removing habitat as well as inundating nests during critical incubation periods. The goal of our proposed research is to evaluate past nesting patterns of fourteen coastal nesting species and predict future effects of sea level rise on nesting beaches along the South Atlantic Bight. Maps of coastal vulnerability to SLR combined with historical data sets of long-term and spatially extensive nesting habitat will lead to models that enhance our understanding of the complex environmental changes occurring from global climate change and...
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The South Atlantic LCC is seeking technical assistance in the testing process for their newly chosen terrestrial natural resource indicators (https://www.fws.gov/science/catalog). For each ecosystem and the three indicators within each ecosystem, South Atlantic LCC staff and collaborators are seeking to answer the following: 1) How well does each indicator represent a variety of organisms and ecological attributes within the ecosystem and throughout a major portion of the LCC? What does it miss? 2) How well does combination of three indicators within each ecosystem represent a variety of organisms and ecological attributes within the ecosystem and throughout a major portion of the LCC? What do they miss? 3) How...
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This project seeks to develop a tool that strategically identifies priority areas for land protection. This is a pilot study to assess the extent of taxa that contain adequate genetic sampling within the south Atlantic ecoregion for characterization of intraspecific genetic variation. We seek to use genetic data from multiple taxa coupled with GIS data to provide a genetic landscape from which geographic patterns of intraspecific genetic diversity will be inferred. Joint analyses of the resulting genetic landscapes will be used to identify geographic areas where multiple species show atypical patterns of interpopulation divergence or intrapopulation diversity (i.e., a hotspot of high biological value). We will then...
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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 first Blueprint, Version 1.0, was released in March 2014. Blueprint 1.0 was based on a combination of expert input and partner plans and used a spatial scale of HUC-12 subwatersheds in the terrestrial environment and outer continental shelf lease blocks in the marine environment. More than 300 people from 85 organizations were actively involved in developing this version of the Blueprint.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, AQUATIC ECOSYSTEMS, Academics & scientific researchers, Applications and Tools, All tags...
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The Arctic Coastal Plain (ACP) of Alaska is an important region for millions of migrating and nesting shorebirds. However, this region is threatened by climate change and increased human development (e.g., oil and gas production) that have the potential to greatly impact shorebird populations and breeding habitat in the near future. Because historic data on shorebird distributions in the ACP are very coarse and incomplete, we sought to develop detailed, contemporary distribution maps so that the potential impacts of climate-mediated changes and development could be ascertained. To do this, we developed and mapped habitat suitability indices for eight species of shorebirds (Black-bellied Plover [Pluvialis squatarola],...
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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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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, Image; 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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Managers and scientists are working together in a new project to understand and optimally manage conservation lands along the Atlanta and Mississippi Flyways to support continental populations of waterbirds. It will advance the development of an integrated waterbird monitoring and management program to inform decision-makers and resource managers in an adaptive management context, resulting in improved resource contributions toward waterfowl, shorebirds, and long-legged waders. This project uses adaptive management and modeling tin an innovative way that incorporates their management expertise as well as new conservation planning and modeling tools. We are focusing on wetland-dependent migratory birds that use the...


map background search result map search result map Models of ecological uplift from conservation activities in the SALCC Testing South Atlantic LCC terrestrial indicators Integration of at-risk and range restricted species models and strategic conservation information into the SALCC Conservation Blueprint Mechanisms of aquatic species invasions across the SALCC Investigation of the effects of sea level rise on sea turtle, shorebird, seabird, and beach mouse nesting distributions within the South Atlantic Landscape Conservation Cooperative region Identifying and prioritizing key habitat connectivity areas for the South Atlantic region Template for Strategic Habitat Conservation (SHC) implementation to meet waterbird management needs Identifying priority areas for land protection in the South Atlantic: a landscape genetics pilot study South Atlantic Conservation Blueprint Version 1.0 SNOWDATA GeoTIFF Annual Snow Free Date (year) SNOWDATA GeoTIFF Annual First Snow Date SNOWDATA GeoTIFF Annual Last Snow Date (year) SNOWDATA GeoTIFF Annual Snow Depth Shorebird HSI tiff format SNOWDATA GeoTIFF Annual Snow Up Date SNOWDATA GeoTIFF Annual Solid Precipitation Model Domain Model outputs Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska North Slope PRISM Shorebird Location and Plot Survey Geodatabase Model Domain Model outputs Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska Shorebird HSI tiff format North Slope PRISM Shorebird Location and Plot Survey Geodatabase Models of ecological uplift from conservation activities in the SALCC Testing South Atlantic LCC terrestrial indicators Integration of at-risk and range restricted species models and strategic conservation information into the SALCC Conservation Blueprint Mechanisms of aquatic species invasions across the SALCC Investigation of the effects of sea level rise on sea turtle, shorebird, seabird, and beach mouse nesting distributions within the South Atlantic Landscape Conservation Cooperative region Identifying and prioritizing key habitat connectivity areas for the South Atlantic region Template for Strategic Habitat Conservation (SHC) implementation to meet waterbird management needs Identifying priority areas for land protection in the South Atlantic: a landscape genetics pilot study South Atlantic Conservation Blueprint Version 1.0 SNOWDATA GeoTIFF Annual Snow Free Date (year) SNOWDATA GeoTIFF Annual First Snow Date SNOWDATA GeoTIFF Annual Last Snow Date (year) SNOWDATA GeoTIFF Annual Snow Depth SNOWDATA GeoTIFF Annual Snow Up Date SNOWDATA GeoTIFF Annual Solid Precipitation