Skip to main content
Advanced Search

Filters: Tags: aquaculture (X) > Date Range: {"choice":"year"} (X)

4 results (8ms)   

View Results as: JSON ATOM CSV
Stocking is one of the foremost tools in the inland fisheries management toolbox, but it comes with both opportunities and risks. Stocking is often used as compensation for depleted wild populations, particularly where recruitment processes have been disrupted, but it can introduce disease, disrupt community structures, reduce genetic integrity, and cause conflicts between fishery stakeholders. Despite its widespread use, examples of effective stocking for food fisheries in inland waters are sparse in the peer-reviewed literature. Nevertheless, it is well established that stocking is frequently used to maintain fish yield, so there is a need to conduct the practice in a robust manner that minimises the potential...
thumbnail
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...
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...
thumbnail
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.
    map background search result map search result map Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 input and output datasets 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 Detections, Physical Captures, Water Quality, and Fish Health Data Related to Suckers Held in Four Net Pens in Upper Klamath Lake, 2019 Detections, Physical Captures, Water Quality, and Fish Health Data Related to Suckers Held in Four Net Pens in Upper Klamath Lake, 2019 Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 input and output datasets 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