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Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015
UW_Olallie_photo_metadata & image files: These are the raw timelapse photographs. The date/time stamp is inaccurate for the camera deployed in the open (at the SNOTEL) due to a programming error. This timestamp is one day early (i.e., subtract 1 day from the timestamp when using these data). Also available is metadata for two timelapse cameras and their associated snow depth poles (two visible in each camera's field of view) deployed at Olallie Meadows SNOTEL during water year 2015. One camera was deployed in the open area that is the Olallie Meadows SNOTEL station (the snow pillow is in the field of view). The other camera was deployed in the adjacent forest, approximately 60 m to the southeast of the SNOTEL....
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cascade Mountains,
Cle Elum,
Data Visualization & Tools,
Forests,
Kittatas County,
This data set provides the abiotic water balance variables used for species distribution modelings for Pinus albicaulis within the Greater Yellowstone Ecosystem
Categories: Data;
Tags: Data Visualization & Tools,
Geospatial dataset,
Idaho,
Montana,
North Central CASC,
This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 75.5%. A series of post-modeling steps brought the final number of land cover classes to 28.
Categories: Data;
Types: Citation;
Tags: Birds,
CMR,
Charles M. Russell National Wildlife Refuge,
Data Visualization & Tools,
Landcover,
Training points collected in the field between 2012 and 2013 were grouped into 18 classes: Forested Burn (66), Foothill Woodland Steppe Transition (73), Greasewood Flat (73), Greasewood Steppe (239), Greasewood Sage Steppe (277), Great Plains Badlands (166), Great Plains Riparian (255), Low Density Sage Steppe (776), Medium Density Sage Steppe (783), Mixed Grass Prairie (555), Mixed Grass Prairie Burned (278), Ponderosa Pine Woodland and Shrubland (512), Riparian Floodplain (223), Semi-Desert Grassland (103), Sparsely Vegetated Mixed Shrub (252), Silver Sage Flat (70) , Silver Sage Steppe (64), and Water (246). When insufficient field data were available for a class, we augmented it through photointerpretation of...
Categories: Data;
Types: Citation;
Tags: Birds,
Charles M. Russel Wildlife Refuge,
Data Visualization & Tools,
North Central CASC,
Science Tools For Managers,
This data set contains links that are important to each species' habitat network. Those important links are scored based on the percent currently under protection status, projected change in climate suitability by the middle of the 21st century, and projected change in percent urbanized by the middle of the 21st century. Important links were identified from all links in the networks of each species based on their Integral Index of Connectivity (dIIC). Any links with dIIC scores > 0.9 or which connected to nodes with dIIC > 0.9 were retained here as "important" links.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Forests,
Landscapes,
Southeast CASC,
climate change,
habitat connectivity,
This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled Global Climate Models (GCMs) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The 20 future climate scenarios consist of ten GCMs with RCP 4.5 and 8.5 each: ACCESS 1.0, CanESM2, CCSM4, CESM1-BGC, CMCC-CMS, CNRM-CM5, GFDL-CM3, HadGEM2-CC, HadGEM2-ES, and MIROC5. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme...
These data were used to examine how post-fire sedimentation might change in western USA watersheds with future fire from the decade of 2001-10 through 2041-50. The data include previously published projections (Hawbaker and Zhu, 2012a, b) of areas burned by future wildfires for several climate change scenarios and general circulation models (GCMs) that we summarized for 471 watersheds of the western USA. The data also include previously published predictions (Miller et al., 2011) of first year post-fire hillslope soil erosion from GeoWEPP that we summarized for 471 watersheds of the western USA. We synthesized these summarized data in order to project sediment yield from future fires for 471 watersheds through the...
Categories: Data;
Types: Citation;
Tags: A1B emission scenario,
A2 emission scenario,
Annual Post-fire Sediment Yield,
Arizona,
Average Burned Area,
This data set includes a dropped-edge analysis of grassland and forest networks in the South Central United States based on land cover data from 2006 and graph theory to evaluate Landscape Resistance to Dispersal (LRD). LRD represents the degree to which habitat availability limits species movement. LRD decreases as habitat availability increases and increases as habitat availability decreases. This data set includes a range of LRD thresholds to represent species with different dispersal abilities and responses to landscape structure. A threshold indicates the highest LRD that still allows dispersal by a particular group of species. LRD thresholds are included in the data set, with low values representing connectivity...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Forests,
Grasslands and Plains,
Landscapes,
Other Wildlife,
South Central CASC,
To determine inundation patterns and calculate site-specific tidal datums, we deployed water level data loggers (Model 3001, Solinst Canada Ltd., Georgetown, Ontario, Canada and Model U-20-001-01-Ti, Onset Computer Corp., Bourne, MA, USA) at all sites over the study period. Each site had one or two loggers (n = 16). We placed loggers at the mouth and upper reaches of second-order tidal channels to capture high tides and determine seasonal inundation patterns. Water loggers collected water level readings every six minutes starting on the date of deployment and continuing to the present. We used data from the lowest elevation logger at each site to develop local hydrographs and inundation rates. We surveyed loggers...
The threat of droughts and their associated impacts on the landscape and human communities have long been recognized in the United States, especially in high risk areas such as the southcentral region. This project examines whether existing drought indices can predict the occurrence of drought events and their actual damages, how the adaptive capacity (i.e., resilience) varies across space, and what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. This data set was created to assess the community resilience to the drought hazards using the Resilience Inference Measurement...
Categories: Data;
Types: Citation;
Tags: Arkansas,
Climatological hazard,
Drought,
Drought, Fire and Extreme Weather,
Louisiana,
UI_Mica_Location: Location metadata and meteorological and snow depth observations from met towers in the Mica Creek Experimental Forest. Data were collected at 7 different station sites at approximately half-hour intervals for water years 2003-2006, with discontinuous records due to equipment malfunction or damage. Stations were located within different forest harvest treatment sections, applied to the watershed in approximately 2001, including clear-cut harvest, partial harvest, and control sections (both second growth and old growth control forests). Site Data Citation for full description of the field campaign and sites. UI_Mica_met: Metadata and associated snow depth and SWE observations from 14 manual...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data Visualization & Tools,
Forests,
Idaho,
Landscapes,
Mica Creek,
Shapefile containing the boundaries of the eight Climate Adaptation Science Centers (CASCs).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Science Center,
United States, U.S. Affiliated Pacific Islands,
boundaries
This dataset contains the result of the bioclimatic-envelope modeling of the three amphibian species -- the Sacramento Mountain Salamander (Aneides hardii), the Jemez Mountains Salamander (Plethodon neomexicanus), and the Chiricahua Leopard Frog (Lithobates chiricahuensis) -- in the South Central US using the downscaled data provided by WorldClim. We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone. We then projected future distributions of the species using data from four climate...
Categories: Data;
Types: Citation;
Tags: Aneides hardii,
Birds,
Chiricahua Leopard Frog,
Jemez Mountains Salamander,
Lithobates chiricahuensis,
This dataset contains the result of the bioclimatic-envelope modeling of the two reptile species -- Rio Grande Cooter (Pseudemys gorzugi) and Gray-Checkered Whiptail (Aspidoscelis dixoni) -- in the South Central US using the downscaled data provided by WorldClim. We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone. We then projected future distributions of the species using data from four climate models: Community Climate System Model version 4 (CCSM4), Hadley Centre Global Environment...
Categories: Data;
Types: Citation;
Tags: Aspidoscelis dixoni,
Birds,
Gray-Checkered Whiptail,
Mammals,
Other Wildlife,
Create an inventory of water-related models that have been developed for the Rio Grande/Bravo basin. The summary includes a description of model river extent, spatial and temporal resolution, time period, model type, and their possible application for testing environmental flows or climate change future alternatives.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Hydraulics,
Hydrologic,
Optimization,
Rio Bravo,
Rio Grande,
The research was conducted at eight 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. The researchers performed bathymetric surveys, created digital elevation models, measured historic rates of mineral and organic matter accumulation, conducted vegetation surveys, deployed water level data loggers, and produced WARMER wetland accretion model projections for each study site. This collection contains data for all of the above across a number of different datasets. Users should investigate the metadata for each item for more information about it's purpose, methods, quality,...
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
Categories: Data;
Types: ArcGIS Map Package,
Citation,
Downloadable;
Tags: Connectivity,
Environment and Conservation,
Forests,
Grasslands and Plains,
Idaho,
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
Categories: Data;
Types: ArcGIS Map Package,
Citation,
Downloadable;
Tags: Alpine,
Connectivity,
Environment and Conservation,
Forests,
Grasslands and Plains,
We used land cover projections for 2011 and 2050 of two scenarios derived from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES). Scenario A1B emphasizes economic growth with a global orientation and scenario B2 focuses on environmental sustainability with a regional view. Our study area included counties within the southern Great Plains ecoregion in Oklahoma, Texas, and New Mexico. We calculated changes in landscape connectivity (dECA) between 2011 and 2050 for different species groups and landscape scenarios. We also calculated changes in habitat suitability (dA). We assessed the degree to which changes in landscape connectivity were influenced by changes in grassland...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Forests,
Grasslands and Plains,
Landscapes,
Other Wildlife,
South Central CASC,
It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,...
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