Filters: Tags: Aquaculture (X) > Date Range: {"choice":"year"} (X) > Categories: Data (X)

Filters Date Types (for Date Range) Contacts U.S. Geological Survey Megan K LaPeyre Vincent E White U.S. Geological Survey - ScienceBase Summer M Burdick More... Tag Types Theme (3) Place (2) Harvest Set (3) USGS Scientific Topic Keyword (1) Tag Schemes None (3) Common geographic areas (1) ISO 19115 Topic Category (1) USGS Thesaurus (1) View Results as: JSON ATOM CSV

Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 input and output datasets Datasets are inputs and outputs of Aquaculture and Irrigation Water Use Model (AIWUM) 2.0. AIWUM 2.0 employs remote sensing data sets and machine learning utilizing Distributed Random Forests, an ensemble machine learning algorithm to estimate annual and monthly groundwater use for irrigation and aquaculture (2014–20) throughout this region at 1 km resolution, using annual pumping data from flowmeters in Mississippi and real-time flowmeters in Arkansas, Louisiana, Mississippi, Missouri, and Tennessee. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and other crops. Model results... Categories: Data; Tags: AIWUM, Arkansas, Distributed Random Forests, Louisiana, Mississippi, All tags... Missouri, Tennessee, USGS Science Data Catalog (SDC), aquaculture, groundwater, irrigation, water use, Fewer tags Eastern oyster Dynamic Energy Budget model outputs under current (2014-2020) and projected (2041-2050) temperature and salinity conditions in Texas and Louisiana estuaries and along northern Gulf of Mexico coast Compilation of all outputs from the modeling study presented in Lavaud et al. (2023; IP-156006). In this study a Dynamic Energy Budget (DEB) model for the eastern oyster, Crassostrea virginica, was run under different scenarios of current (2014–2020) and future (2041–2050) temperature and salinity conditions across six key Texas and Louisiana estuaries to derive an aquaculture index, based on survival and time to market size, and a restoration index, based on survival and reproductive output. Categories: Data; Tags: Aquaculture, Bioenergetic modeling, Dynamic Energy Budget, Eastern Oyster, Oyster reef, All tags... Shellfish, USGS Science Data Catalog (SDC), Fewer tags Detections, Physical Captures, Water Quality, and Fish Health Data Related to Suckers Held in Four Net Pens in Upper Klamath Lake, 2019 To determine how a low cost oxygenation system affected survival of captively reared juvenile suckers, we introduced Passive Integrated Transponder (PIT) tagged juvenile suckers into three net pens in Upper Klamath Lake. The suckers originated from the U.S. Fish and Wildlife Service's Sucker Assisted Rearing Program in Klamath Falls, Oregon which rears suckers collected as larvae in Upper Klamath Lake including Lost River sucker (Deltistes luxatus), shortnose sucker (Chasmistes brevirostris), and Klamath largescale sucker (Catostomus synderi). Suckers were monitored continuously by PIT antennas. These data contain all remote detections from the PIT antennas, all physical captures, and the water quality data associated... Categories: Data; Tags: Aquatic Biology, Lost River suckers, Net pen fish rearing, USGS Science Data Catalog (SDC), Upper Klamath Lake, All tags... aquaculture, biota, shortnose suckers, water quality, Fewer tags