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Audiomagnetotelluric sounding data, stations 1-9, Taos Plateau Volcanic Field, New Mexico, 2009 This dataset includes the audio-magnetotelluric (AMT) sounding data collected in 2009 in and near the San Luis Basin, New Mexico. The U.S. Geological Survey conducted a series of multidisciplinary studies, including AMT surveys, in the San Luis Basin to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Basin region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AMT, Cerro, Cerro De La Olla, GGGSC, GPS measurement, All tags... Geology, Geophysics, and Geochemistry Science Center, Geophysics, Guadalupe Mountain, Hydrogeology, MRP, MT, Mineral Resources Program, New Mexico, No Agua Peaks, Questa, Rio Grande, Rio Grande Basin, Rio Grande rift, San Luis Basin, Sangre de Cristo Mountains, Santa Fe Group, Taos County, Taos Plateau Volcanic Field, USGS Science Data Catalog (SDC), Water Resources, apparent resistivity, aquifer, audiomagnetotelluric, deformation (geologic), electromagnetic surveying, geologic framework, geophysics, geoscientificInformation, groundwater, hydrogeology, impedance, impedance phase, impedance strike, magnetic field (earth), magnetic surveying, magnetotelluric surveying, regional fluid flow, sedimentary deposits, sedimentation, sounding, tipper, Fewer tags Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, September 26, 2020 This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arundo cane, Arundo donax, Carrizo cane, Giant Reed, Rio Grande, All tags... Texas, USGS:644006a6d34ee8d4ade6cf31, Webb County, biota, geospatial analysis, image analysis, inlandWaters, multispectral imaging, panchromatic imaging, Fewer tags Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, May 07, 2021 This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arundo cane, Arundo donax, Carrizo cane, Giant Reed, Rio Grande, All tags... Texas, USGS:64400a5dd34ee8d4ade6cf50, Webb County, biota, geospatial analysis, image analysis, inlandWaters, multispectral imaging, panchromatic imaging, Fewer tags Minimum habitat requirements for establishing translocated cutthroat trout populations. Conclusions: In fragmented watersheds, macrohabitat attributes measured at the patch scale were far more effective in predicting trout translocation success than measurements taken at the landscape scale Thresholds/Learnings: As a course filter indicator of cutthroat trout translocation success, the study found that translocations have a greater than 50% chance of fruitful establishment in watersheds >14.7km2 in area. Synopsis: This study aimed to identify stream-scale and basin-scale macrohabitat attributes limiting successful translocation and persistence of native cutthroat trout populations in fragmented landscapes along the Rio Grande. The study developed models of habitat attributes measured at two scales... Categories: Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AZ/NM Plateau, Arizona/New Mexico Plateau, Arizona/New Mexico mountains, Landscape, Landscape fragmentation, All tags... Natural cover amount, Natural cover heterogeneity, New Mexico and Colorado, Restoration, Rio Grande, Rio Grande cutthroat trout, Southern Rockies, Translocation, cutthroat trout, fish, fragmentation, greenback cutthroat trout, habitat fragmentation, information-theoretic, logistic regression, meso-regional, patch scale, regional, salmonids, southern Rockies, translocation success, Fewer tags Ecological changes in aquatic communities in the Big Bend reach of the Rio Grande: Synthesis and future monitoring needs There is a need to understand how alteration of physical processes on the Rio Grande River have impacted aquatic biota and their habitats, and a need to predict potential future effects of climate change on biotic resources in order to prescribe research and management activities that will enhance conservation of aquatic species. We propose a project with the goal of developing monitoring recommendations and identifying research needs for aquatic ecological resources in the Big Bend region of the Rio Grande. This goal will be targeted by synthesizing and analyzing available data and literature for aquatic species in the project region. In particular, we will work to develop time series of abundance and population... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, Academics & scientific researchers, Big Bend National Park, Big Bend ‐ Río Bravo & Lower Río Conchos Pilot Area, Conservation NGOs, All tags... Conservation Planning, Data Acquisition and Development, Data Management and Integration, Desert Landscape Conservation Cooperative, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS, Federal resource managers, Informing Conservation Delivery, LCC, LCC Network Science Catalog, Lake Amistad, Monitoring, Project, Report, Rio Conchos, Rio Grande, TX-23, Texas, United States, aquatic biota, biota, climate change, completed, conservation, monitoring, water resources, Fewer tags Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study This part of the Data Release contains the raster representation of the water-level altitude and water-level change maps developed every 5 years from 1980-2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the water-level altitude maps can be found in the "Groundwater level measurement data used to develop water-level altitude maps in the upper Rio Grande Alluvial Basins" child item of this data release. These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags... Alamosa River, Albuquerque, Anthony, Antonito, Archuleta County, Ascencion, Belen, Bernalillo County, Bonanza, Buenaventura, Caballo Reservoir, Catron County, Center, Chama, Chihuahua, Cibola County, Ciudad Juarez, Cochiti Lake, Colorado, Conejos County, Costilla County, Creede, Del Norte, Dona Ana County, El Paso, El Paso County, El Porvenir, Elephant Butte, Elephant Butte Reservoir, Espanola, Esperanza, Grants, Guadalupe, Hatch, Heron Reservoir, Hinsdale County, Horizon, Hudspeth County, Juarez, Las Cruces, Los Alamos County, McKinley County, Mexico, Mineral County, Monte Vista, Mora County, New Mexico, Praxedis G. Guerrero, Red River, Rio Arriba County, Rio Chama, Rio Grande, Rio Grande County, Rio Puerco, Rio Rancho, Rio Salado, Rio San Jose, Saguache County, Saguache Creek, San Augustin, San Elizario, San Isidro, San Juan County, San Luis, Sandoval County, Santa Fe, Santa Fe County, Sierra County, Socorro, Socorro County, South Fork, Taos, Taos County, Texas, Torrance County, Truth or Consequence, United States of America, Valencia County, aerial photography, domestic well water use, droughts, environment, evapotranspiration, field monitoring stations, floods, geographic information systems, geography, geology, geoscientificInformation, geospatial analysis, geospatial datasets, groundwater, groundwater and surface-water interaction, groundwater flow, hydrographic datasets, hydrologic processes, hydrology, image analysis, industrial water use, infrared imaging, inlandWaters, irrigation, land use and land cover, multispectral imaging, precipitation, public supply water use, regressional analysis, remote sensing, runoff, snow and ice cover, spatial analysis, statistical analysis, storms, streamflow, surface water, time series analysis, time series datasets, water budget, water chemistry, water cycle, water properties, water quality, water resources, water supply and demand, water use, Fewer tags Final Report: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change This project had two primary goals: 1) To develop a process for integrating data from multiple sources to improve predictions of climate impacts for wildlife species; and 2) To provide data on climate and related hydrological change, fire behavior under future climates, and species’ distributions for use by researchers and resource managers.We present within this report the process used to integrate species niche models, fire simulations, and vulnerability assessment methods and provide species’ reports that summarize the results of this work. Species niche model analysis provides information on species’ distributions under three climate scenarios and time periods. Niche model analysis allows us to estimate the... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2012, Applications and Tools, Data.gov Desert LCC, Decision Support, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > CONSERVATION, All tags... Federal resource managers, Fire, Fire, Invasive species, Invasive species, LCC, LCC Network Science Catalog, Map, Methodology/Protocol, NM-01, NM-02, NM-03, New Mexico, New Mexico, Population & Habitat Evaluation/Projection, Report, Rio Grande, Rio Grande, Riparian, Riparian, Riparian obligates, Riparian obligates, Transboundary Madrean Watersheds Pilot Area, United States, Vulnerability, Vulnerability, Vulnerability Assessment, Wetlands, Wetlands, biota, completed, Fewer tags Burn Probability predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) raster dataset predicted for the 2080-2100 period in the Rio Grande area was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5 Representative Concentration Pathway. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, future climate, gis, rio grande, All tags... wildfire, Fewer tags Burn Probability for Fireline Intensity Class 6, predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 6 (FIL6) with flame lengths in the range of 3.7-15 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 2, predicted for 2050 to 2070 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 2 (FIL2) with flame lengths in the range of 0.6-1.2 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 5, predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 5 (FIL5) with flame lengths in the range of 2.4-3.7 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 4, predicted for 2050 to 2070 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 4 (FIL4) with flame lengths in the range of 1.8-2.4 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Shorelines of the Texas west (TXwest) coastal region used in shoreline change analysis Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Aransas Pass, Brazos Santiago Pass, Bureau of Economic Geology, The University of Texas at Austin, CMGP, Coastal and Marine Geology Program, All tags... DSAS, Digital Shoreline Analysis System, Gulf of Mexico, HWL, High Water Line, MHW, Mean High Water, Mustang Island, NOAA, NOS, National Assessment of Shoreline Change Project, National Ocean Service, National Oceanic and Atmospheric Administration, North America, Padre Island, Port Aransas, Rio Grande, Shoreline, Shoreline Change, South Padre Island, TX, Texas, U.S. Geological Survey, USGS, UT BEG, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, environment, geoscientificInformation, oceans, Fewer tags Final Report: Fire-smart southwestern riparian landscape management and restoration of native biodiversity in view of species of conservation concern and the impacts of tamarisk beetles Executive Summary: Portions of broad-scale ecoregions of the Great Plains, and Southern Semiarid Highlands were generally projected as mostly suitable for large fires of low severity within 31 years. Under a 2070 future climate scenario of high CO2 emission (HadGEM2-ES RCP8.5) a significant increase in suitability for large low severity wildfires was seen in Wyoming and Montana, which was accompanied by a decrease in suitability for the Madrean Archipelago and portions of central and west Texas. Broad scale niche model for the Southwestern Willow Flycatcher under current climate was centered within the known breeding range mostly along riparian areas. Under a 2070 future climate scenario of high CO2 emission (HadGEM2-ES... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, AZ-01, AZ-02, AZ-03, AZ-04, All tags... AZ-05, AZ-06, AZ-07, AZ-08, AZ-09, Applications and Tools, Arizona, Big Bend ‐ Río Bravo & Lower Río Conchos Pilot Area, CA-08, CA-23, CA-25, CA-27, CA-36, CA-50, CA-51, California, Conservation NGOs, Data Acquisition and Development, Data.gov Desert LCC, Decision Support, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > CONSERVATION, Federal resource managers, Fire, Fire regimes, Gila River, LCC Network Science Catalog, Map, Mojave Desert Pilot Area, NM-02, NV-01, NV-03, NV-04, Nevada, New Mexico, Population & Habitat Evaluation/Projection, Private land owners, Report, Report, Rio Grande, Riparian ecosystems, Southwestern United States, T&E species, TX-16, TX-23, Tamarisk, Tamarisk beetles, Texas, Tonto Creek, Transboundary Madrean Watersheds Pilot Area, UT-02, United States, Utah, biota, completed, Fewer tags Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, June 30, 2020 This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arundo cane, Arundo donax, Carrizo cane, Giant Reed, Rio Grande, All tags... Texas, USGS:643fff1bd34ee8d4ade6ceda, Webb County, biota, geospatial analysis, image analysis, inlandWaters, multispectral imaging, panchromatic imaging, Fewer tags Rio Grande-Rio Bravo Basin Subset Data The Rio Grande-Rio Bravo Basin Subset Data were used to produce the digitalization of the River extent of water related models. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Hydraulics, Hydrologic, Optimization, Rio Bravo, Rio Grande, All tags... Rivers, Streams and Lakes, Science Tools For Managers, Simulation, South Central CASC, State of the Science, Water Management, Water, Coasts and Ice, Fewer tags River extent of water related models in the Rio Grande/Bravo basin 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, All tags... Rivers, Streams and Lakes, Science Tools For Managers, Simulation, South Central CASC, State of the Science, Water Management, Water, Coasts and Ice, Fewer tags Conditional Flame Length predicted for 2050 to 2070 for Rio Grande study area Conditional Flame Length (CFL) is an estimate of the mean flame lengths for each pixel, and was predicted for the 2050-2070 period in the Rio Grande area using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5 Representative Concentration Pathway. CFL... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: conditional flame length, fire, future climate, gis, rio grande, All tags... wildfire, Fewer tags Fire type predicted for 2020 to 2040 for Rio Grande study area Fire type predicted for the 2020-2040 period in the Rio Grande area with five classes: 1) shrub vegetation with torching flames; 2) shrub vegetation without torching flames; 3) forest with torching flames; 4) forest without torching flames; 5) grass or non-vegetation. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: fire, fire type, future climate, gis, rio grande, All tags... wildfire, Fewer tags Burn Probability predicted for 2020 to 2040 for Rio Grande study area Burn probability (BP) raster dataset predicted for the 2020-2040 period in the Rio Grande area was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5 Representative Concentration Pathway. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, future climate, gis, rio grande, All tags... wildfire, Fewer tags 1 2 3 4 »