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USGS Historical Quadrangle in GeoPDF.
USGS Historical Quadrangle in GeoPDF.
This project designed a monitoring program and protocol to detect the effects of climate change on tidal marsh bird population abundance and distribution. It is a companion to “Tidal Marsh Bird Population and Habitat Assessment for San Francisco Bay under Future Climate Change Conditions” and will build on its products, enabling evaluation of the long-term viability of four tidal-marsh bird species threatened by impacts of climate change: Clapper Rail, Black Rail, Common Yellowthroat, and Song Sparrow (three endemic subspecies: San Pablo, Suisun, and Alameda). Information is available through the California Avian Data Center. See also: http://data.prbo.org/apps/sfbslr/index.php?page=lcc-page
Categories: Data,
Project;
Tags: 2010,
CA,
California Landscape Conservation Cooperative,
Conservation NGOs,
Datasets/Database,
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased.
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains outputs of streamflow for each stream segment in the model domain and is based on parameterization with dynamic land cover. The parameters that were allowed to vary were related to dominant land cover type, percent impervious area, and precipitation interception by the plant canopy and snowpack.The PRMS parameters describing vegetation and impervious area were derived from annual estimates of land cover to incorporate...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset contains the virtual wells used for urban (municipal and industrial use) pumpage for the Central Valley Hydrologic Model (CVHM). The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the U.S. Geological Survey (USGS) numerical modeling code MODFLOW-FMP (Schmid and others, 2006). This application is referred...
The LANDFIRE Program developed a rich suite of consistent spatial data sets for the entire United States. These spatial data sets were designed for very large landscape, regional and national applications. Two of these spatial layers are particularly unique and interesting, Departure and Uncharacteristic Vegetation. Departure is a metric that indicates how different the current composition and structure of vegetation is from estimated historical conditions. This metric is identical to Fire Regime Condition Class (FRCC) in LANDFIRE (V1.0), and is generally called FRCC in the fire literature (link to FRCC in LANDFIRE). A departure value is computed for each unique historical vegetation type (called Biophysical...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: English,
GIS,
US,
fire,
invasive,
The Climate Commons Data Catalog provides searchable records describing data hosted on the Commons and elsewhere. Links on each catalog record lead you to the data if it is hosted online, and to related documents and websites.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GIS,
bird,
climate,
fire,
fish,
The Southwest Regional Gap Analysis Project (SWReGAP) is an update of the Gap Analysis Program’s mapping and assessment of biodiversity for the five-state region encompassing Arizona, Colorado, Nevada, New Mexico, and Utah. It is a multi-institutional cooperative effort coordinated by the U.S. Geological Survey Gap Analysis Program. The primary objective of the update is to use a coordinated mapping approach to create detailed, seamless GIS maps of land cover, all native terrestrial vertebrate species, land stewardship, and management status, and to analyze this information to identify those biotic elements that are underrepresented on lands managed for their long term conservation or are “gaps.”
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chihuahuan Desert,
English,
GIS,
Madrean,
Mojave Desert,
Pima County makes extensive use of Geographical Information System (GIS) technology for making maps. For the Sonoran Desert Conservation Plan, this was an important technology for assembling the extensive existing data, both digital and non-digital, identifying critical gaps in the data and potential remedies, and providing a means for analyzing the information on biological and physical resources over the six million acre study area. SDCP Mapguide was created to display many of the natural resource GIS data layers, but Mapguide is being replaced with PimaMaps. You can use either to make your own overlays on aerial photos, line maps, or USGS topography. Customize your online map while panning and zooming on the...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BMP,
GIS,
amphibian,
biodiversity,
bird,
The purpose of this project is to use existing climate change datasets from the Climate Impacts Group (CIG) to summarize the the projected climate change impacts to United States Forest Service (USFS) lands in Oregon and Washington (Figure 1). Stakeholders in the Forest Service of this region were particularly interested in the variables that are likely to impact freshwater aquatic species, including projected changes in water availability, snowpack, and flood and low flow severities. Our objective is to summarize climate and hydrologic projections for USFS lands in Oregon and Washington. Since individual national forests may contain numerous distinct ecological regimes and cross hydrologic boundaries, averaging...
This dataset represents the average carbon consumed by fire for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Carbon in biomass consumed by fire, in g m-2 yr-1, was determined for each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, OR and WA, for a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). The MC1 model was run using historical data...
This dataset represents the average annual precipitation for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Mean annual precipitation (in mm H2O yr-1), was determined for each HUC5 watershed by averaging values of original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003). The MC1...
This dataset represents the historical majority vegetation type (30 year mode), for each HUC5 watershed, simulated by the model MC1 for the 30-year period 1971-2000. Majority vegetation type was determined for each HUC5 watershed by calculating the 30 year mode from original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, a nd wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003)....
Percent change in the average C3 grass fraction (a biogeographic index based on the ratio of C3 to C4 grass) for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. Simulated mean C3 grass fraction was determined for each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen...
This data release contains inputs for and outputs from hydrologic simulations of the Apalachicola-Chattahoochee-Flint River Basin (ACFB) in the southeastern U.S. using the Precipitation Runoff Modeling System (PRMS). Seven hydrologic models, one coarse-resolution model for the entire ACFB and six fine-resolution models of tributary sub-basins. These simulations were developed to provide estimates of water availability and statistics of streamflow. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (LaFontaine and others, 2017); they include three types of data: 1) PRMS input parameter and data files, 2) PRMS output data files, and 3) GIS files...
These are Snow Water Equivalent (SWE) SnowPALM model output data for an area in the Valles Caldera, northern New Mexico. These pre-fire model output data are intended to accompany a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]). All data are in a gridded format where the lower left hand corner is located at 3979325 north, and 371710 east in Zone 13N with a map datum of NAD83. The grid is comprised of 1000 rows by 1100 columns with a grid cell size of 1m for a total domain size of 1.0km x 1.1km. Data output is on a daily time step and ranges between the 1st of September 1981 (labeled:...
The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CONUS,
CONUS,
Conterminous,
Conterminous United States,
FORE-SCE,
The USGS Forecasting Scenarios of Land-use Change (FORE-SCE) model was used to produce an agricultural biofuel scenarios for the Northern Glaciated Plains, from 2012 to 2030. The modeling used parcel data from the USDA's Common Land Unit (CLU) data set to represent real, contiguous ownership and land management units. A Monte Carlo approach was used to create 50 unique replicates of potential landscape conditions in the future, based on a agricultural scenario from the U.S. Department of Energy's Billion Ton Update. The data are spatially explicit, covering the entire Northern Glaciated Plains ecoregions (an EPA Level III ecoregion), with a spatial resolution of 30-meters and 22 unique land-cover classes (including...
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: FORE-SCE,
Great Plains,
Land Cover,
Minnesota,
Model,
This map was developed to show the distribution of human influence in the western United States. This dataset was developed from the Human Footprint inthe western United States (Leu et al. 2008) in order to ease the interpretation of humand footprint comparisons. Provides the distirubtion of 3 human foorpint instensity class in the western United States.
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