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Filters: Tags: {"scheme":"https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes"} (X) > Extensions: ArcGIS Service Definition (X)

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This dataset provides an estimate of 2015 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data with independent variables that influence cheatgrass germination and growth into a regression-tree model. Individual pixel values range from 0 to 100 with an overall mean value of 9.85 and a standard deviation of 12.78. A mask covers areas not classified as shrub/scrub or grass/herbaceous by the 2001 National Land Cover Database. The mask also covers areas higher than 2000 meters in elevation because cheatgrass is unlikely to exist at more than 2% cover above this threshold. Cheatgrass is an invasive grass that has invaded...
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ArcGIS layer package of relative classifications (low to high) for six resilience indicators and two anthropogenic stressors and a map of final relative resilience scores for 78 sites in the Commonwealth of the Northern Mariana Islands. The six resilience indicators are: bleaching resistance, coral diversity, coral recruitment, herbivore biomass, macroalgae cover and temperature variability. The two anthropogenic stressors are fishing access and nutrients and sediments. The resilience score map compares sites across all four of the surveyed islands: Saipan, Tinian, Aguijan, and Rota.
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The research was conducted at nine tidal marshes in coastal estuaries spanning the Washington and Oregon coastlines from Padilla Bay in northern Washington to Bandon located at the mouth of the Coquille River in southern Oregon. We performed bathymetric surveys using a shallow-water echo-sounding system comprised of an acoustic profiler, Leica Viva RTK GPS, and laptop computer mounted on a shallow-draft, portable flat-bottom boat. The RTK GPS enabled high resolution elevations of the water surface. The rover positions were received from the Leica Smartnet system (www.lecia-geosystems.com) or base station and referenced to the same bench mark used in the elevation surveys. We mounted a variable frequency transducer...
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This layer depicts projected abundance of native and non-native plant species in the main Hawaiian Islands with high levels of uncertainty removed in post-processing. To estimate native and invasive species abundance in baseline climate conditions, a map was generated that considered abundance as percent cover and used high coefficient of variation values as a mask. The primary sources for post-processing the uncertainty masks are the Hawaiian Islands plant species abundance modeled means and standard deviation values (Wong et al., in preparation). These maps cover the entire landscape (including urban and agricultural areas), and therefore they can be applied in a variety of ways. Maps can be utilized to evaluate...
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To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the...
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This data set contains vector point information. The original data set was collected through visual field observation by Jennke Visser (University of Louisiana-Lafayette). The observations were made while flying over the study area in a helicopter. Flight was along north/south transects spaced 2000 meters apart from the Texas / Louisiana State line to Corpus Christie Bay. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along each transect. The stations were located using a Global Positioning System (GPS) and a computer running ArcGIS. This information was recorded manually onto field tally sheets and later this information was entered into a Microsoft Excel database using Capturx software...
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We used WARMER, a 1-D cohort model of wetland accretion (Swanson et al. 2014), which is based on Callaway et al. (1996), to examine SLR projections across each study site. Each cohort in the model represents the total organic and inorganic matter added to the soil column each year. WARMER calculates elevation changes relative to MSL based on projected changes in relative sea level, subsidence, inorganic sediment accumulation, aboveground and belowground organic matter productivity, compaction, and decay for a representative marsh area. Each cohort provides the mass of inorganic and organic matter accumulated at the surface in a single year as well as any subsequent belowground organic matter productivity (root growth)...
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Coastal zone managers and researchers often require detailed information regarding emergent marsh vegetation types (that is, fresh, intermediate, brackish, and saline) for modeling habitat capacities and needs of marsh dependent taxa (such as waterfowl and alligator). Detailed information on the extent and distribution of emergent marsh vegetation types throughout the northern Gulf of Mexico coast has been historically unavailable. In response, the U.S. Geological Survey, in collaboration with the Gulf Coast Joint Venture, the University of Louisiana at Lafayette, Ducks Unlimited, Inc., and the Texas A&M University-Kingsville, produced a classification of emergent marsh vegetation types from Corpus Christi Bay,...
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This data set contains vector point information. The original data set was collected through Texas A&M University-Kingsville a helicopter survey was flown October 2-3rd of 2011 by Dr. Jenneke Visser (University of Louisiana at Lafayette) and Michael Mitchell. Data from this survey was used to produce this point file. Each feature includes the vegetation type at the point as well as the class used when classifying. Each feature is labeled either reference or accuracy assessment based on what it was used for during analysis. Flight was along north/south transects spaced 2000 meters apart from the Corpus Christi Bay to the Sabine River. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along...
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To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the...
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Taken from the DMP: "Georeferencing of plots and determination of site conditions using GIS. Accuracy of plot abundance values assessed with vegetation maps, satellite imagery, and expert consultation. Ten native and five invasive species of trees, shrubs and ferns were selected based on their potential ecological importance in communities, as well as how much field data was available to analyze for this study. For baseline climate condition variables, we used surface temperature and rainfall estimates (30 year baseline period, 1978–2007) developed by Giambelluca et al. (2013) with grid cell resolution of 250m. To estimate climate change responses, we used future projected climate variables developed by the International...
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Coastal zone managers and researchers often require detailed information regarding emergent marsh vegetation types (that is, fresh, intermediate, brackish, and saline) for modeling habitat capacities and needs of marsh dependent taxa (such as waterfowl and alligator). Detailed information on the extent and distribution of emergent marsh vegetation types throughout the northern Gulf of Mexico coast has been historically unavailable. In response, the U.S. Geological Survey, in collaboration with the Gulf Coast Joint Venture, the University of Louisiana at Lafayette, Ducks Unlimited, Inc., and the Texas A&M University-Kingsville, produced a classification of emergent marsh vegetation types from Corpus Christi Bay,...
    map background search result map search result map Marsh types from Corpus Christi Bay, Texas, to the Sabine River, Texas, in 2010 coastal Texas marsh survey points - 2011 Marsh types from Corpus Christi Bay, Texas, to Perdido Bay, Alabama, in 2010 coastal Texas marsh survey points - 2012 Coral Reef Resilience to Climate Change in CNMI results Near-real-time cheatgrass percent cover in the northern Great Basin, USA--2015 2015 Hawaiian Islands Plant Species Abundance Models Climate Change Atlas ‐ Dominant vegetation in the Hawaiian Islands Elevation Points for Eight Study Areas in Coastal Oregon and Washington, 2012 Bathymetry Digital Elevation Models for Eight Study Areas in Coastal Oregon and Washington, 2012 Digital Elevation Models for eight study areas in coastal Oregon and Washington, 2012 WARMER model projections of sea-level rise for eight tidal marsh study areas on coastal Oregon and Washington, 2010-2110 Esri Service Definition file containing all SPC rasters (PROSPER) Esri Service Definition file containing all SPP rasters (PROSPER) Streamflow Permanence Probability rasters, 2004-2011, Version 2.0 (PROSPER) Streamflow Permanence Probability rasters, 2012-2016, Version 2.0 (PROSPER) coastal Texas marsh survey points - 2011 Coral Reef Resilience to Climate Change in CNMI results WARMER model projections of sea-level rise for eight tidal marsh study areas on coastal Oregon and Washington, 2010-2110 Elevation Points for Eight Study Areas in Coastal Oregon and Washington, 2012 Digital Elevation Models for eight study areas in coastal Oregon and Washington, 2012 coastal Texas marsh survey points - 2012 Bathymetry Digital Elevation Models for Eight Study Areas in Coastal Oregon and Washington, 2012 Marsh types from Corpus Christi Bay, Texas, to the Sabine River, Texas, in 2010 2015 Hawaiian Islands Plant Species Abundance Models Climate Change Atlas ‐ Dominant vegetation in the Hawaiian Islands Marsh types from Corpus Christi Bay, Texas, to Perdido Bay, Alabama, in 2010 Near-real-time cheatgrass percent cover in the northern Great Basin, USA--2015 Esri Service Definition file containing all SPC rasters (PROSPER) Esri Service Definition file containing all SPP rasters (PROSPER) Streamflow Permanence Probability rasters, 2004-2011, Version 2.0 (PROSPER) Streamflow Permanence Probability rasters, 2012-2016, Version 2.0 (PROSPER)