Skip to main content
Advanced Search

Filters: Categories: Data (X) > Extensions: ArcGIS Service Definition (X)

Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers ( Show direct descendants )

26 results (13ms)   

Location

Folder
ROOT
_ScienceBase Catalog
__National and Regional Climate Adaptation Science Centers
Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the...
thumbnail
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...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA...
thumbnail
This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
thumbnail
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.
thumbnail
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...
thumbnail
Conservation Success Index: Wild Trout – Interior Columbia River Basin The CSI – as originally developed - is an aggregate index comprised of four different component groups: Range-wide Condition; Population Integrity; Habitat Integrity; and Future Security. Each CSI group has five indicators that describe a specific component of each group. Each indicator is scored from 1 to 5 for each subwatershed, with a score of 1 indicating poor condition and a score of 5 indicating good condition. Indicator scores are then added to obtain the subwatershed condition for a Group, and Group scores are added for a CSI score for a subwatershed. CSI scores can then be summarized to obtain the general range of conditions within...
thumbnail
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...
thumbnail
In 2014, the Arid Lands Initiate (ALI) developed a set of shared Priority Core Areas (PCAs) for conservation using a Marxan-based approach (see the Phase 1 report here for details). Subsequently, we conducted a Climate Change Vulnerability Assessment CCVA) for those PCAs, and the map service below displays those results. The full background and methods for creating for this map service, along with results interpretation, are provided in the final report for the second phase of the project (available here). A basic summary is provided below: A significant amount of climate change research has been completed in the region, much of it funded by the GNLCC and the NW Climate Science Center, and it provided a firm...
thumbnail
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...
thumbnail
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...
thumbnail
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)...
thumbnail
These data are 30m by 30 m grids of the mean Standardized Precipitation-Evapotranspiration Index (SPEI) between 2001-2014 in the western United States. The SPEI index was developed by Sergio M. Vicente-Serrano and coauthors (https://spei.csic.es/index.html). Source evapotranspiration and precipitation data were generated by gridMET (http://www.climatologylab.org/gridmet.html).
thumbnail
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,...
thumbnail
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...
thumbnail
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...
map background search result map search result map 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 Wild Trout - Interior Columbia Basin ALI Riverine Assessment Project Area Coral Reef Resilience to Climate Change in CNMI results ALI PCA Relative Climate Change Vulnerability Assessment Results Web Mapping Service Near-real-time cheatgrass percent cover in the northern Great Basin, USA--2015 2015 Hawaiian Islands Plant Species Abundance Models ALI Priority areas as linear networks (Figure 12) Selection frequency score Figure(6) 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 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Esri Service Definition file containing all SPC rasters (PROSPER) Streamflow Permanence Probability rasters, 2004-2011, Version 2.0 (PROSPER) LEAN-Corrected DEM for Suisun Marsh Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates LEAN-Corrected DEM for Suisun Marsh coastal Texas marsh survey points - 2011 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 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 2015 Hawaiian Islands Plant Species Abundance Models ALI PCA Relative Climate Change Vulnerability Assessment Results Web Mapping Service ALI Priority areas as linear networks (Figure 12) Wild Trout - Interior Columbia Basin ALI Riverine Assessment Project Area Selection frequency score Figure(6) 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) Streamflow Permanence Probability rasters, 2004-2011, Version 2.0 (PROSPER) Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates