Commercial fishermen interested in participating in the shark research fishery must submit an application and vessel/permit documentation for the Agency to consider. Annually, the Agency randomly selects participants from among applicants. The Atlantic shark research fishery is a program with 100% observer coverage that collects fishing and biological data on all sharks, including sandbar sharks (a species prohibited from being landed and sold), for stock assessments and other scientific purposes.

Fishing excursion information, including summary tables of: Fishing/culling efforts, including date, islets, latitude/longitude, fishing method, soak times, culled shark #. Also catch disposition, length, samples taken, photos, and year specific information.

Fishing excursion information, including summary tables of: Fishing/culling efforts, including date, islets, latitude/longitude, fishing method, soak times, culled shark #. Also catch disposition, length, samples taken, photos, and year specific information.

The Commonwealth of the Northern Mariana Islands (CNMI), Division of Fish and Wildlife (DFW) staff conducted shore-based creel surveys which have 2 major sub-surveys; one to estimate participation (fishing effort), and one to provide catch-rate (CPUE), species composition data, and size of fishes. As is the case for all of these shore-based surveys, shore-based means fishing without a powered boat and can include effort such as spearfishing. DFW made early attempts at shore-based creel surveying back in the early years, but many problems existed and there were limited resources available. It is not likely that the older data was converted from the Apple to the PC environment, but this needs to be checked. A new survey design was created and implemented in about 2005 and is continuing. It has mostly focused on the west coast lagoon side of Saipan but recently has been extended to the south and part of the west coast where some shoreline areas are accessible as well. These data are considered confidential.

Longest fishery-independent survey of sharks in the U.S. Atlantic Ocean, every 2-3 years since 1986.

To enable fisheries managers to comply with National Standard 8 (NS8), NMFS social scientists around the nation are preparing fishing community profiles that present the features and characteristics of such communities. PIFSC has published or is developing four such profiles: one each for Hawaii, Guam, the Commonwealth of the Northern Mariana Islands, and American Samoa.

Scientists at NOAA Northeast Fisheries Science Center (NEFSC) are using environmental DNA (eDNA) to identify fish communities and monitor ecosystems by collecting a water sample and analyzing the DNA found in it, identifying the species that left it behind without capturing a single animal. As animals swim, they shed scales, tissue, and waste, leaving traces of DNA in the water. A water sample is first collected from the ocean and filtered to concentrate DNA in it. NOAA scientists then make millions of copies of a target DNA region through polymerase chain reaction (PCR) to make enough genetic material for high throughput sequencing. The metabarcoding process described above for eDNA analysis allows scientists to look for many species in the same sample. The final step is like a matching game, in which the DNA sequences are compared with a reference library of known species to find a match. The eDNA method is particularly useful for detecting species that are not easily captured, including rare or migratory species. It can also help in areas that are difficult to sample because of challenging ocean conditions, sensitive habitats, or a rugged seafloor. An eDNA analysis provides a snapshot of the community of species at the time of sampling and over time. This can help us detect shifts in marine ecosystems. eDNA samples have been collected on NOAA Ecosystem Monitoring (EcoMon) surveys since 2019. These samples will help develop best eDNA practices using metabarcoding, an innovative way to determine what fish species live in what parts of the ocean without actually seeing any fish.

Scientists at NOAA's Northeast Fisheries Science Center (NEFSC) are using environmental DNA (eDNA) to identify fish communities and monitor ecosystems by collecting a water sample and analyzing the DNA found in it, identifying the species that left it behind without capturing a single animal. As animals swim, they shed scales, tissue, and waste, leaving traces of DNA in the water. A water sample is first collected from the ocean and filtered to concentrate DNA in it. NOAA scientists then make millions of copies of a target DNA region through polymerase chain reaction (PCR) to make enough genetic material for high throughput sequencing. The metabarcoding process described above for eDNA analysis allows scientists to look for many species in the same sample. The final step is like a matching game, in which the DNA sequences are compared with a reference library of known species to find a match. The eDNA method is particularly useful for detecting species that are not easily captured, including rare or migratory species. It can also help in areas that are difficult to sample because of challenging ocean conditions, sensitive habitats, or a rugged seafloor. An eDNA analysis provides a snapshot of the community of species at the time of sampling and over time. This can help us detect shifts in marine ecosystems. eDNA samples have been collected on NOAA Ecosystem Monitoring (EcoMon) surveys since 2019. These samples will help develop best eDNA practices using metabarcoding, an innovative way to determine what fish species live in what parts of the ocean without actually seeing any fish.

This project will assess the ecosystem services of shellfish farming by measuring impacts of newly established farms in the North Carolina Research Reserve. Because there is an opportunity to assess conditions before farm installation, North Carolina estuaries provide an ideal place to measure these effects. Two years of intensive sampling in and adjacent to oyster farms, concentrating on wild shellfish resources and the physical and chemical environment, will aim to link small-scale changes with larger-scale ecosystem-level alterations. Coastal managers, state agencies, and shellfish farmers will provide input throughout the course of the project to ensure that the study parameters align with decision-making needs. The project will culminate with the production of visualization tools and models to allow resource managers, culturists, and reserve staff members to make better decisions when determining the locations and scales of shellfish farming operations.