Filters: Tags: biota (X) > Types: OGC WMS Layer (X) > Types: Citation (X)
264 results (13ms)
Filters
Date Range
Extensions
Types
Contacts
Categories Tag Types
|
The U.S. Geological Survey, Western Ecological Research Center (USGS-WERC) was requested by the Bureau of Ocean Energy Management (BOEM) to create a database for marine birds of the California Current System (CCS) that would allow quantification and species ranking regarding vulnerability to offshore wind energy infrastructure (OWEI). This was needed so that resource managers could evaluate potential impacts associated with siting and construction of OWEI within the California Current System section of the Pacific Offshore Continental Shelf, including California, Oregon, and Washington. Along with its accompanying Open File Report (OFR), this comprehensive database can be used (and modified or updated) to quantify...
Categories: Data Release - Revised;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biota,
California,
California Current System,
Environment,
Ocean wind energy,
This raster dataset depicts percent canopy cover derived from 1-m conifer classifications when aggregated to 30-m cells. Conifer features were classified from 2010, 2012, and 2013 NAIP Digital Ortho Quarter Quads (DOQQ) using the Feature Analyst 5.0 extension for ArcGIS 10.1. Tiles were organized and grouped by Nevada Department of Wildlife Population Management Unit (PMU) locations, plus a 10 km area beyond the PMU extent. Analysts visually identified conifers in the imagery using false color infrared settings and digitized multiple trees per tile as training locations for classification. After performing hierarchical learning and clutter removal with Feature Analyst to remove non-conifer features on output shapefiles,...
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biota,
Conifers,
Environment,
Great Basin,
Land cover,
This dataset represents ease of access to bottomland areas for vegetation treatments. Access may be by road, 4x4 near road, hike in by field crews or requiring overnight camping or raft access. Access is considered for each side of the river separately.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
A compilation of all known nest records and locations to identify landscape-scale parameters (distance to coast, elevation, slope, and land cover) that provide potential nesting habitat in four regions: northern Alaska, Aleutian Islands, Alaska Peninsula Mountains and Kodiak Island, and Pacific Coastal Mountains (including nearshore interior Canada). These data support the following publication: Felis J.J., Kissling M.L., Kaler R.S.A., Kenney L.A., Lawonn M.J., 2016. Identifying Kittlitz’s Murrelet nesting habitat in North America at the landscape scale. Journal of Fish and Wildlife Management 7(2):xx-xx; e1944-687X. doi: 10.3996/112015-JFWM-116
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: biota,
environment,
health,
oceans
We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: biota,
caves,
karst
We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: biota,
caves,
karst
Cave and Karst Biota Modeling in the Appalachian LCC - Predicted endemics in sampled 20km grid cells
We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: biota,
caves,
endemic species,
karst
This is a model showing general habitat diversity, including both the structural and cover type diversity. See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning for geoprocessing details.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
This dataset represents the relative average amount of non-woody cover within 2 ha) of bottomland along the Colorado River from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
This dataset represents the variety (unique structural classes: water, bare, herbaceous, short shrubs, medium shrubs, short trees, tall trees) within 1 ha of bottomland areas. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation of ground qualities. Due to the "snapshot" nature of the aerial photos,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
This map shows the channel boundary (2011) of the Colorado River mainstem between the Utah Colorado border and the upper pool of Lake Powell, Utah (146 miles). The channel boundary was mapped from public available NAIP imagery flown on June 28, 2011, when the river flow was 886 m3/s at the Cisco gage. The channel is subdivided into channel types: fast water (main channel, secondary channel), and still water types (backwater, isolated pool and tributary channel).
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
Forest- Data collected once using GIS prior to fish sampling. Our approach was to focus the study on smaller, headwater catchments because larger streams drained areas containing both hemlock and mixed hardwood forest, making forest-specific comparison intractable. In addition, most of these larger watersheds were impacted by humans (e.g., impoundments, agriculture, quarries) that could confound our assessment of the influence of hemlock. Even after limiting the study to headwater catchments, other possible confounding factors remained; we controlled for landscape variability (i.e., terrain and stream size) through the sampling design and we excluded others (i.e., minimum catchment area,beaver activity) through...
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: biota
Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biota, Boundaries, Environment,
Greater sage-grouse,
Habitat,
Nevada,
Sage-Grouse,
Spatial polygons of vegetation zones in 1986 for wetlands; P1, P2, P3, P4, P7, T3, T4, T5, T6, and T7 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1986 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 1990 for wetlands; P2, P3, P4, P6, P7, P8, P11, T2, T3, T4, T5, T6, T7, and T8 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during July 1990 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Intracoelomic implantation of electronic tags has become a common method in fishery research, but rarely are fish examined by scientists after release to understand the extent that surgical incisions have healed. Walleye (Sander vitreus) are a valuable, highly-exploited fishery resource in the Laurentian Great Lakes. Here, fishery capture of walleye with internal acoustic transmitters combined with a high reward program provided multiple opportunities to examine photographs and quantify the status of surgical incisions. Walleye (n=926) from reef and river spawning populations in Lake Erie and Lake Huron were implanted with acoustic transmitters during spring spawning events from 2011 to 2016. Incisions were closed...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Detroit,
Lake Huron,
Lower Maumee,
Plant and animal tagging,
Sandusky,
This data set was created to facilitate the BLM Greater Sage-Grouse Land Use Planning Strategy in the Utah Sub-Region. This data was developed and addressed, and used during preparation of an environmental impact statement to consider amendments to 14 BLM land use plans throughout the State of Utah, as well as 6 Forest Service land use plans. This planning process was initiated through issuance of a Notice of Intent published on December 6, 2011. This dataset is associated with the Final Environmental Impact Statement, released to the public via a Notice of Availability on May 29, 2015. The purpose of the planning process is to address protection of greater sage-grouse, in partial response to a March 2010 decision...
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Disturbance,
Management,
Sage Grouse,
Special Status,
Utah,
Description: The upper Gila River in New Mexico is one of the few unobstructed rivers in the Colorado River Basin with largely intact native fish populations, including four federally listed and one state listed species.Freshwater systems throughout the West continue to be threatened by human encroachment and water development. Methodologies or decision support tools to evaluate resource management practices that foster an understanding of how fish species adapt to the effects of climate change are critical to future resource management planning.
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2011,
AZ-01,
AZ-02,
Academics & scientific researchers,
Applications and Tools,
Stream fragmentation alters the structure of aquatic communities on a global scale, generally through loss of native species. Among riverscapes in the Great Plains of North America, stream fragmentation and hydrologic alteration (flow regulation and dewatering) are implicated in the decline of native fish diversity. This study documents the spatio–temporal distribution of fish reproductive guilds in the fragmented Arkansas and Ninnescah rivers of south-central Kansas using retrospective analyses involving 63 years of fish community data. Pelagic-spawning fishes declined throughout the study area during 1950–2013, including Arkansas River shiner (Notropis girardi) last reported in 1983, plains minnow (Hybognathus...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CATFISHES/MINNOWS,
Colorado,
Colorado,
FISH,
Federal resource managers,
Habitat fragmentation and flow regulation are significant factors related to the decline and extinction of freshwater biota. Pelagic-broadcast spawning cyprinids require moving water and some length of unfragmented stream to complete their life cycle. However, it is unknown how discharge and habitat features interact at multiple spatial scales to alter the transport of semi-buoyant fish eggs. Our objective was to assess the relationship between downstream drift of semi-buoyant egg surrogates (gellan beads) and discharge and habitat complexity. We quantified transport time of a known quantity of beads using 2–3 sampling devices at each of seven locations on the North Canadian and Canadian rivers. Transport time was...
|
|