Filters: Tags: freshwater fishes (X) > Extensions: Citation (X)

Filters Date Range Past year (1) Past month (1) Past week (0) Past day (0) Custom range... To   Search Types Citation (3) Contacts Emmanuel A. Frimpong Andrew DiSanto U.S. Geological Survey U.S. Geological Survey Science Analytics and Synthesis More... Categories Publication (3) Data (2) Tag Types Place (1) Theme (2) Catalog Filter Data Theme (1) Catalog Filter Data Type (1) Catalog Filter Contributor (1) Harvest Set (1) Organization (1) More... Tag Schemes None (2) https://www.sciencebase.gov/vocab/category/bis/NFHP%20Data%20Catalog%20 (1) USGS Biocomplexity Thesaurus (1) ISO 19115 Topic Category (1) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (1) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (1) https://www.sciencebase.gov/vocab/category/NCCWSC/WaterCoastsandIce (1) View Results as: JSON ATOM CSV

Linking River Management to Species Conservation Using Dynamic Landscape-scale Models Efforts to conserve stream and river biota could benefit from tools that allow managers to evaluate landscape-scale changes in species distributions in response to water management decisions. We present a framework and methods for integrating hydrology, geographic context and metapopulation processes to simulate effects of changes in streamflow on fish occupancy dynamics across a landscape of interconnected stream segments. We illustrate this approach using a 482 km2 catchment in the southeastern US supporting 50 or more stream fish species. A spatially distributed, deterministic and physically based hydrologic model is used to simulate daily streamflow for sub-basins composing the catchment. We use geographic data... Categories: Publication; Types: Citation; Tags: Rivers, Streams and Lakes, Southeast CASC, Water, Coasts and Ice, aquatic biodiversity, fluvial geomorphology, All tags... freshwater fishes, hydrologic models, metapopulation dynamics, Fewer tags Historical Stream Fish Distribution Database for the Conterminous United States (1950-1990): IchthyMaps Fish occurrence data to support high-resolution distribution models and test various community and macroecological hypotheses have not been available at the national scale. We present IchthyMaps, a database of high-quality historical fish occurrences covering fishes of the conterminous United States. Designed on the principles of metacommunity ecology, IchthyMaps is a compilation of presence records from atlases up to 1990, at the resolution of the 1:100,000 National Hydrography Database Plus (NHDPlus) inter-confluence stream segment, readily aggregated into hierarchically coarser units (e.g. hydrologic unit code 8-digit and 12-digit watersheds). IchthyMaps contains about 606,550 presence records for 1,038 species... Categories: Data, Publication; Types: Citation; Tags: Alabama, Arizona, Arkansas, Biological Data, Biological sampling, All tags... California, Colorado, Connecticut, Conterminous United States, Deleware, District of Columbia, Ecological distribution, Florida, Freshwater fishes, Georgia, Historical data, Historical data, Idaho, Illinois, Indiana, Kansas, Kentucky, Lentic, Lotic, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NFHP Cooperator, NHDPlusV2, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, NoVisual, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Spatial Data, Spatial distribution, Species presence, Species presence, Tennessee, Texas, USGS Science Data Catalog (SDC), United States, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, Fewer tags Climate impacts to inland fishes: Topic modeling of literature trends analysis script This script applies topic modeling to analyze literature trends of climate impacts to inland fish based on the papers within the Fish and Climate Change Database (FiCli, DOI: 10.5066/P9973SMC). Sections 1-8 loaded the .bib file with all of the papers in the database and cleaned the text. This included combining the title/abstract/keywords, removing non-informative words, stemming words, removing punctuation, and forming phrases (ie. climate change to climate_change). Sections 9-10 divided the papers into discrete topics by identifying the ideal number of topics and then using Latent Dirichlet Allocation (LDA) modeling and Gibbs sampling to assign topics to each paper. Sections 11-17 analyzed the topic modeling results... Categories: Data, Publication; Types: Citation; Tags: FiCli, Fish and Climate Change Database, Latent Dirichlet Allocation, biota, freshwater fishes, All tags... literature review, synthesis, text mining, Fewer tags