12 Molluscs data

12.1 Sea Scallops Biomass, meat weight in kg (NEFSC) - Draft

12.1.1 Project information

Lead entity: NOAA NEFSC

Partner entities: Virginia Institute of Marine Science (VIMS), School of Marine Science and Technology (SMAST) at University of Massachusetts Dartmouth

PI name: Rachel Shmookler

PI contact information: Unknown

Data start year: 1966

Data end year: 2014

Spatial scale: Northwest Atlantic

12.1.2 Data information

Project link: https://services.northeastoceandata.org/arcgis1/rest/services/MarineLifeAndHabitat/MapServer/5

Data link: NA

Metadata link: https://www.northeastoceandata.org/files/metadata/Themes/Fish/ScallopBiomass.pdf

Data availability: Yes

Data categories: Molluscs

Data type: spatial

12.1.3 Project description

This layer displays scallop biomass (meat weights in kilograms) from all NOAA Northeast Fisheries Science Center NEFSC scallop dredge surveys from 1966 to 2014. The NEFSC scallop survey program began in 1960 and had a major gear change in 1979. Since 1979 there have been other gear and vessel changes, for which the effects are generally small. In cases where it was deemed appropriate after study, correction factors have been applied to the data. These data are used to help assess the stock of scallops in the North Atlantic.

Other data that are collected during NEFSC scallop dredge surveys (but that are not shown here) include scallop shell heights, the number and height of dead scallop shells, any finfish, cephalopods and lobsters caught during the survey, as well as the presence/absence of other bivalve species (e.g., ocean quahogs, razor clams) and invertebrate species (e.g., sand dollars, anemones).

12.2 Sea Scallop Dredge Survey

12.2.1 Project information

Lead entity: NOAA NEFSC

Partner entities: Various (MDMR, VIMS, UMASS SMAST, Coonamessett Farm Foundation)

PI name: Peter D Chase, Jakub Kircun

PI contact information: ;

Data start year: 1980

Data end year: Present

Spatial scale: Northwest Atlantic

12.2.2 Data information

Project link: https://www.fisheries.noaa.gov/inport/item/22564

Data link: https://catalog.data.gov/dataset/sea-scallop-survey1

Metadata link: NA

Data availability: Yes

Data categories: Molluscs

Data type: spatial

12.2.3 Project description

The NEFSC Sea Scallop Survey is an annual quantitative cruise to determine the distribution and abundance of scallops, Placopecten magellanicus, and Icelandic scallops, Chlamys islandica, and to characterize the associated fauna. The survey aims to determine the distribution and abundance of scallops and associated fauna utilizing two sampling devices: the 8-foot wide New Bedford style dredge, standardized sea scallop dredge and the stereo-optic towed camera array (HabCam). Fifteen minute dredge hauls are made at stations that are randomly selected using the NEFSC shellfish strata to provide unbiased abundance measurements. There are three parts to the survey covering the following areas: Mid-Atlantic Bight/Southern New England, Southern New England/Georges Bank, and Georges Bank although coverage in earlier surveys spanned as far south as Cape Hatteras.

12.3 HabCam

12.3.1 Project information

Lead entity: NOAA NEFSC

Partner entities: Various (MDMR, VIMS, UMASS SMAST, Coonamessett Farm Foundation)

PI name: Burton Shank

PI contact information:

Data start year: 2009

Data end year: Present

Spatial scale: Northwest Atlantic

12.3.2 Data information

Project link: https://habcam.whoi.edu/

Data link: https://catalog.data.gov/dataset/habitat-mapping-camera-habcam2

Metadata link: https://www.fisheries.noaa.gov/inport/item/27598

Data availability: Yes

Data categories: Molluscs

Data type: spatial

12.3.3 Project description

The HabCam is conducted using transects across bathymetry lines in the same area as the dredge tows. This dataset entails imagery collected using the HabCam towed underwater vehicle and annotated data on objects or habitats in the images and notes on image qualities. Most HabCam images and data are collected as part of the NEFSC sea scallop survey but the vehicle is occasionally used for other surveys. For each survey, a subset of images are selected and manually annotated for the presence of target species.

12.4 MaineDMR Public Health - Shellfish Water Quality Data

12.4.1 Project information

Lead entity: ME DMR

Partner entities: NA

PI name: Wahle, Benjamin

PI contact information:

Data start year: 2019

Data end year: Present

Spatial scale: Gulf of Maine

12.4.2 Data information

Project link: https://dmr-maine.opendata.arcgis.com/datasets/3652bf2a35664d358e992c2e3cff9506_0/explore

Data link: https://services1.arcgis.com/RbMX0mRVOFNTdLzd/arcgis/rest/services/DMRPublicHealth_WQData/FeatureServer/0

Metadata link: https://dmr-maine.opendata.arcgis.com/datasets/maine::mainedmr-public-health-shellfish-water-quality-data/about

Data availability: Yes

Data categories: Chemical oceanography, Molluscs

Data type: spatial

12.4.3 Project description

The Department of Marine Resources (DMR) Bureau of Public Health collects surface water grab samples at approximately 1,200 water quality monitoring stations along the Maine coast year-round. Samples are processed in the lab via membrane filtration and enumerated for fecal coliform bacteria. Fecal coliform results are reported as the number of colony forming units (individual bacterium capable of forming colonies) per 100mL of water. DMR scientists analyze data from each station and calculate annual summary statistics using at least 30 of the most recent samples collected under a systematic-random sampling strategy. These values, along with sanitary surveys of the area, help determine whether the water quality is acceptable for harvesting molluscan shellfish. For more information about water quality monitoring and the classification of shellfish flats, visit https://www.maine.gov/dmr/fisheries/shellfish/shellfish-growing-area-classification.

12.5 Modeling Exploration of the impacts of natural and anthropogenic stressors on sea scallop recruitments over the U.S. Northeast Continental Shelf

12.5.1 Project information

Lead entity: SMAST

Partner entities: NA

PI name: Changsheng Chen

PI contact information:

Data start year: 2022

Data end year: Unknown

Spatial scale: Northwest Atlantic

12.5.2 Data information

Project link: https://www.fisheries.noaa.gov/new-england-mid-atlantic/science-data/sea-scallop-research-set-aside-projects-selected-2022-2023

Data link: NA

Metadata link: NA

Data availability: No

Data categories: Molluscs

Data type: “research project, synthesis, or technology development”

12.5.3 Project description

Unknown

12.6 Shellfish Management Areas

12.6.1 Project information

Lead entity: Northeast Ocean Data

Partner entities: NA

PI name: Unknown

PI contact information: Unknown

Data start year: Unknown

Data end year: 2017

Spatial scale: Northwest Atlantic

12.6.2 Data information

Project link: https://www.northeastoceandata.org/files/metadata/Themes/Aquaculture/ShellfishManagementAreas.pdf

Data link: https://www.northeastoceandata.org/data-download/

Metadata link: NA

Data availability: Yes

Data categories: Habitat, Molluscs

Data type: spatial

12.6.3 Project description

This data layer represents shellfish growing and classification areas for states in the northeastern U.S. including Connecticut, Maine, Massachusetts, New Hampshire, New York, and Rhode Island.

12.7 [PLANNED] Gulf of Maine fish and invertebrate benthic habitat baseline data collection

12.7.1 Project information

Lead entity: TBD

Partner entities: NA

PI name: Brandon Jensen

PI contact information:

Data start year:

Data end year: 2026

Spatial scale: Gulf of Maine

12.7.2 Data information

Project link: https://www.boem.gov/sites/default/files/documents/environment/environmental-studies/Studies-Development-Plan-2023-2024.pdf

Data link: NA

Metadata link: NA

Data availability: No

Data categories: Habitat, Molluscs, Crustaceans, Groundfish

Data type: spatial

12.7.3 Project description

The objective of this study is to establish baseline benthic habitat characteristics at regional/WEA scales (10s of km). These data would allow for improved siting, impact assessments, and provide a baseline to evaluate project-scale habitat surveys submitted by lessees. Additionally, the results of this study would enhance our scientific understanding of these habitats, improve our EFH consultations with NMFS under the MSA in the region, and inform the National Environmental Policy Act process with the best available information regarding benthic resources in the Gulf of Maine.

[1] “This data was sourced from: RWSC_early-2025”

12.8 Developing Best Practices and Applying Environmental DNA (eDNA) Tools and in Support of Assessing and Managing Living Marine Species in an Ecosystem-based Context

12.8.1 Project information

Lead entity: BOEM

Partner entities: NOAA NEFSC, Smithsonian Institution, AMAPPS

PI name: Tim White

PI contact information:

Data start year: 2021

Data end year: 2023

Spatial scale: Northwest Atlantic

12.8.2 Data information

Project link: https://www.boem.gov/sites/default/files/documents/environment/environmental-studies/SDP_2022-2023.pdf

Data link: NA

Metadata link: NA

Data availability: No

Data categories: Sea turtles, Seabirds, Marine mammals, Molluscs

Data type: spatial

12.8.3 Project description

BOEM and the Northeast Fisheries Science Center will evaluate the eDNA “net” for accuracy in resolving community structure in space and through time by comparing taxa identified in water samples with quantified multi-species hotspots (T. White) derived from fisheries and observer-based sampling programs (e.g., AMAPPS). This project proposes identifying which species and guilds eDNA resolves well and those it misidentifies with an ecosystem-based context. For example, seabirds and invertebrates (e.g., clams) have been overlooked in most eDNA studies, even though these communities are essential in BOEM assessments and by other federal agencies. We will evaluate how well eDNA metabarcoding resolves marine communities using retrospective analyses (persistent communities) and simultaneous observations (observers; net tows; aerial cameras). The main objectives are to identify strengths and weaknesses in methodology; address weaknesses by populating genetic databases where feasible, and guide future BOEM projects across the regions.

[1] “This data was sourced from: RWSC_early-2025”

12.9 Northeast Regional Habitat Assessment Data Explorer

12.9.1 Project information

Lead entity: MAFMC, NEFMC, NEFSC

Partner entities: Many

PI name: Jessica Coakley

PI contact information:

Data start year: 2022

Data end year: Present

Spatial scale: Northwest Atlantic

12.9.2 Data information

Project link: https://www.mafmc.org/nrha

Data link: https://nrha.shinyapps.io/dataexplorer/#!/species

Metadata link: NA

Data availability: Yes

Data categories: Groundfish, Elasmobranchs, Crustaceans, Pelagic fishes, Habitat, Molluscs, Diadromous fish, Coastal fishes

Data type: spatial

12.9.3 Project description

This application shares products from the Northeast Regional Marine Fish Habitat Assessment (NRHA)and provides tools to explore fish habitat data*, with an emphasis on habitat use at different regional scales and by diverse fish and shellfish species in the Northeast.

12.10 Maine-New Hampshire (ME-NH) Trawl Survey Data Portal

12.10.1 Project information

Lead entity: Maine DMR

Partner entities: NA

PI name: Robyn Linner

PI contact information:

Data start year: 2000

Data end year: Present

Spatial scale: Gulf of Maine

12.10.2 Data information

Project link: https://mainedmr.shinyapps.io/MaineDMR_Trawl_Survey_Portal/

Data link: NA

Metadata link: NA

Data availability: Yes

Data categories: Habitat, Physical oceanography, Groundfish, Molluscs, Crustaceans, Pelagic fishes, Coastal fishes, Elasmobranchs, Diadromous fish

Data type: spatial

12.10.3 Project description

The Maine-New Hampshire Inshore Trawl Survey is a fishery-independent survey operated by Maine Department of Marine Resources that started in the fall of 2000. The survey is a collaborative partnership between commercial fishermen and state researchers to assess inshore fish stocks along the coast of Maine and New Hampshire. The survey occurs twice a year, in the spring and fall, and covers about 4500 square miles.