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This collection of GIS layers was prepared for the report Alaska Arctic Marine Fish Ecology Catalog (U.S. Geological Survey Scientific Investigations Report 2016–5038). The layers display geographic distribution and sampling locations for Arctic marine fish species in the region of United States sectors of the Chukchi and Beaufort Seas. Certain diadromous species (for example, Pacific salmon, char, and whitefishes) are treated as marine fishes (McDowall, 1987) because much of their life cycle is in marine and brackish environments. This synthesis of information is meant to provide current information and understanding of this fauna and its relative vulnerability to changing Arctic conditions. There are 104 species...
Region(s) of distribution of Hamecon (Artediellus scaber) Knipowitsch, 1907 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where reliable...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Arctic,
Arctic,
Artediellus scaber,
Beaufort Sea,
Region(s) of distribution of Saffron Cod (Eleginus gracilis) (Tilesius, 1810) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: (Tilesius, 1810),
Alaska,
Arctic,
Arctic,
Beaufort Sea,
Region(s) of distribution of Fourhorn Poacher (Hypsagonus quadricornis) (Valenciennes, 1829) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: (Valenciennes, 1829),
Alaska,
Arctic,
Arctic,
Beaufort Sea,
Marine Arctic polygon distribution of Fourhorn Sculpin (Myoxocephalus quadricornis) (Linnaeus, 1758)
Region(s) of distribution of Fourhorn Sculpin (Myoxocephalus quadricornis) (Linnaeus, 1758) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: (Linnaeus, 1758),
Alaska,
Arctic,
Arctic,
Beaufort Sea,
Region(s) of distribution of Eyeshade Sculpin (Nautichthys pribilovius) (Jordan & Gilbert, 1898) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: (Jordan & Gilbert, 1898),
Alaska,
Arctic,
Arctic,
Beaufort Sea,
Region(s) of distribution of Chinook Salmon (Oncorhynchus tshawytscha) (Walbaum, 1792) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: (Walbaum, 1792),
Alaska,
Arctic,
Arctic,
Beaufort Sea,
Region(s) of distribution of Inconnu (Stenodus leucichthys) (Güldenstadt, 1772) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: (Güldenstadt, 1772),
Alaska,
Arctic,
Arctic,
Beaufort Sea,
These data describe the catch and biological data from 363 bottom-set gill-net lifts distributed throughout Lake Michigan (including main basin and Green Bay) between April and November in 1930–1932. Data collected from the R/V Fulmar were recorded in notebooks and are now archived at the U.S. Geological Survey’s Great Lakes Science Center. Each lift included 1–7 gangs of linen gill nets. Each gang comprised 3–5 panels each having a length of 155 m, a height of 1.5 m, and a (stretch-)mesh size of either 60, 64, 67, 70, or 76 mm. The digitization of the Fulmar data notebooks was started in the late 1990s and finished in this study.
These data were compiled for a manuscript in which 1) we develop a water temperature model for the major river segments and tributaries of the Colorado River basin, including the Colorado, Green, Yampa, White, and San Juan rivers; 2) we link modeled water temperature to fish population data to predict the probability native and nonnative species will be common in the future in a warming climate; and 3) assess the degree to which dams create thermal discontinuity in summer in river segments across the western US. Per goal #1, we developed a water temperature model using data spanning 1985-2015 that predicts water temperature every 1 mile (1.6-km) in rivers both now and in the future due to the potential influence...
This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Categories: Publication;
Tags: Fish,
National CASC,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
Wildlife and Plants
Categories: Publication;
Types: Citation;
Tags: Fish,
National CASC,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
Wildlife and Plants
Abstract (from http://www.tandfonline.com/doi/full/10.1080/00028487.2016.1150879): Long-term sampling of fisheries data is an important source of information for making inferences about the temporal dynamics of populations that support ecologically and economically important fisheries. For example, time series of catch-per-effort data are often examined for the presence of long-term trends. However, it is also of interest to know whether certain sampled locations are exhibiting temporal patterns that deviate from the overall pattern exhibited across all sampled locations. Patterns at these “unusual” sites may be the result of site-specific abiotic (e.g., habitat) or biotic (e.g., the presence of an invasive species)...
This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with BLM high biodiversity sites (HBS) in the Central Great Basin and Range Ecoregion. This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) intersect with the areas of HBS. The HBS were derived from source data characterizing locations with concentrated at-risk biodiversity or existing source data of a prioritization exercise that identified areas of high conservation significance. It does not model actual response or condition of the HBS to the CAs. The data intersects two primary classes of information: The CAs consist of 19 classes which represent different...
Chinook salmon (Oncorhynchus tshawytscha) are an anadromous fish species that migrate through, feed in, and spawn in the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills. This dataset provides the current (2013) spatial distribution of chinook salmon within the REA study area for the analysis of chinook salmon as an Aquatic Fine-Filter Conservation Element. This dataset was derived by clipping the chinook salmon distribution from the Anadromous Waters Catalog to the boundaries of the study area for this REA. The Anadromous Waters Catalog is developed and maintained by the Alaska Department of Fish and Game. It includes all waters known to include populations of anadromous fish but does not differentiate by...
Fish occurrence data have been collected within the North Slope study area, however most of these data are presently available only in non-digitized format (e.g., hardcopies, inventory reports, unpublished data, etc.). Due to the lack of spatial data available, Alaska Natural Heritage Program began collaboration with BLM fisheries biologists to assist with their efforts to enter these fish distribution datasets into the geodatabase RipFish that was developed and is maintained by BLM. Our contribution to this database serves as a final product for the Aquatic Fine-Filter CEs for the Rapid Ecoregional Assessment and will allow managers to readily have access to fish distribution data and conduct future spatial analyses....
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