2 Survey Mitigation
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2.1 Ecosystem Monitoring Survey
2.1.1 ArcGIS Feature Service
Click here.
2.1.2 InPort Metadata
Yes, see here.
2.1.3 Description
The principal objective of Ecosystem Monitoring (EcoMon) program is to assess the hydrographic, planktonic and pelagic components of the Northeast U.S. Continental Shelf Ecosystem. Ecosystem Monitoring surveys contribute to stock assessments, protected species assessments, and ecosystem assessments. EcoMon surveys sample the continental shelf from 2 – 4 times per year. Plankton samples are also collected on the Northeast Fisheries Science Center spring and fall bottom trawl surveys.
2.1.5 Layers
| id | name | type | geometryType |
|---|---|---|---|
| 0 | ECOMON_Strata | Feature Layer | esriGeometryPolygon |
| 1 | ECOMON_Stations | Feature Layer | esriGeometryPoint |
2.1.6 Fields
2.1.6.1 ECOMON_Strata
Description
Ecosystem monitoring plankton stations are selected using a random-stratified design based on the Northeast Fisheries Science Center bottom trawl survey design. There are forty-seven plankton strata across the Northeast Shelf ecosystem. The strata are combined into four regions from Cape Hatteras to Cape Sable (Mid-Atlantic Bight, Southern New England, Georges Bank, and Gulf of Maine). Thirty randomly selected stations are targeted for sampling from each region during a survey.
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| name | Name | Unique strata/station ID | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| numofpoly | Number of polygons | Number of polygons that make up the strata | float |
| numofsta | Number of stations | Number of plankton stations sampled in the strata for current ECOMON program | float |
| region | Region | Strata groupings | nvarchar |
| area | Area (sq km) | Area of strata | float |
| type | Type | Strata description | nvarchar |
| acres | Area (acres) | Area of strata in acres | float |
| version_da | Version date | Date of last update | datetime2 |
2.1.6.2 ECOMON_Stations
Description
There are thirty-five Ecosystem monitoring fixed hydrographic sampling stations across the Northeast Shelf ecosystem. Four transects run from inshore to off the continental shelf from north of Cape Hatteras to Cape Cod. One transect bisects the Gulf of Maine from the coast of Maine and across Georges Bank.The remaining twelve stations in the Gulf of Maine sample deep basins, banks, coastal areas, and the inflow (Northeast Channel) and out flow (Great South Channel) of the gulf.
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| em_seq | Em sequence | Em sequence number | float |
| fixed_seq | Fixed sequence | Fixed sequence number | float |
| name | Name | Unique strata/station ID | nvarchar |
| region | Region | Strata groupings | nvarchar |
| strata | Strata | Unique strata ID number | float |
| deployment | Deployment | Equipment deployment type | nvarchar |
| bongo_prot | Bongo protocol | Bongo protocol | nvarchar |
| depth | Depth (m) | Station depth in meters | float |
| lat | Latitude | Station latitude | float |
| lon | Longitude | Station longitude | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.2 Coastal Shark Bottom Longline Survey
2.2.1 ArcGIS Feature Service
Click here.
2.2.2 InPort Metadata
Yes, see here.
2.2.3 Description
Since 1986, members of the NEFSC Apex Predators Program have conductedthirteen Coastal Shark Bottom Longline Surveys along the US Atlantic coast in April andMay of each survey year. The initial survey was conducted in 1986 between Tampa Bay,Florida, and southern Rhode Island (Cruise DE II 89-03) in a fixed-station survey designcovering 137 stations across three depth strata on the continental shelf. Since that survey,stations and survey range have been truncated due to time constraints and bottom conditionsat some stations. The current survey track includes 95 stations and extends from southernFlorida to Delaware.In 1996, the gear was updated to reflect that of the commercial large coastal sharkfishery and soak times were increased to 3 hours to obtain a higher catch. Bait, gear, andfishing methods have remained the same since that time. Various vessels have been used tostage the survey, with the F/V Eagle Eye II used consistently since 2012. Station locationsare fixed but the set direction for transects is dependent on prevailing wind and currentdirections. The biological studies of sharks conducted during the survey have remained thesame since 1986.
2.2.5 Layers
| id | name | type | geometryType |
|---|---|---|---|
| 0 | CSBLL_Strata | Feature Layer | esriGeometryPolygon |
| 1 | CSBLL_Stations | Feature Layer | esriGeometryPoint |
2.2.6 Fields
2.2.6.1 CSBLL_Strata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.2.6.2 CSBLL_Stations
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| station | Station | Station ID number | float |
| lat | Latitude | Latitude of survey station | float |
| lon | Longitude | Longitude of survey station | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.3 Coastal Shark Pupping and Nursing Survey
2.3.1 ArcGIS Feature Service
Click here.
2.3.2 InPort Metadata
Yes, see here.
2.4 Seal Aerial Survey
2.4.1 ArcGIS Feature Service
Click here.
2.4.3 Description
The NEFSC has been conducting aerial surveys of gray seal pupping colonies since 2005 to monitor the number of pups born in U.S. waters. Surveys are flown from either a Cessna 252, Cessna Skymaster, or NOAA Twin Otter at altitudes ranging from 180-230 m, using hand-held or belly-mounted Canon camera systems. Surveys may also be conducted with Uncrewed Aircraft Systems (UAS) at select colonies.Ideally, surveys are flown after all pups are born and before they start leaving the colony, but in some years surveys may have been flown before or after this optimal window. Furthermore, not all colonies may have been surveyed each year due to logistics or if the site was not yet an established pupping colony.The Northeast Fisheries Science Center has been conducting aerial surveys of harbor seals since 1983 to monitor the abundance of the population in U.S. waters. Surveys are flown during the pupping season when animals are concentrated on the coast of Maine and timed to coincide with peak pupping estimated to be around the end of May. Surveys are flown from a NOAA Twin Otter at 230m within 2 hours of low tide using a hand-held Canon camera and fixed 300mm lens. Close to 1,000 ledges are surveyed and grouped into bay units for analysis.
2.4.6 Fields
2.4.6.1 SEAL_Stations
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| pointnum | Point number | Unique point number | float |
| baynum | Bay number | Unique bay number | float |
| pointname | Point name | Name of surveyed point | nvarchar |
| hg | Hg (Grey Seal) | Y (yes) whether Grey Seal was observed at site | nvarchar |
| pv | Pv (Harbor Seal) | Y (yes) whether Harbor Seal was observed at site | nvarchar |
| hgpupsurve | Hg Pup Survey | Y (yes) whether site is Grey Seal pupping site | nvarchar |
| pvpupsurve | Pv Pup Survey | Y (yes) whether site is Harbor Seal pupping site | nvarchar |
| survey_typ | Survey type | Type of survey (pupping or non-pupping survey) | nvarchar |
| species | Species | Seal species (Grey Seal | nvarchar |
| lat | Latitude | Station latitude | float |
| lon | Longitude | Station longitude | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.5 Turtle Ecology Survey
2.5.1 ArcGIS Feature Service
Click here.
2.5.3 Description
The primary goal of the Turtle Ecology program is to better understand, assess, and monitor sea turtle populations in the Greater Atlantic Region to support management needs and species recovery goals, as mandated through the Endangered Species Act and other federal statutes. We study sea turtle populations by conducting cutting-edge field research, providing data streams, research infrastructure, and scientific leadership, and partnering with federal, state, and non-governmental organizations. Our research has typically been funded by intergovernmental agreements (such as AMAPPS), proposal processes, and/or in collaboration with other research organizations.
2.6 Atlantic Surfclam and Ocean Quahog Survey
2.6.1 ArcGIS Feature Service
Click here.
2.6.2 InPort Metadata
Yes, see here.
2.6.3 Description
The standardized NEFSC Atlantic Surfclam and Ocean Quahog Survey has covered an area from Cape Hatteras to Georges Bank. The survey was conducted every two or three years and currently, a subset of the survey area is completed annually, with the entire survey area completed every three years. The dredge had been operated in a consistent fashion using the same survey protocols and gear from 1982 until 2011. In 2012, the platform was changed to an industry vessel, which resulted in a gear change from a 5’ hydraulic dredge to a 13’ commercial style hydraulic dredge. Five-minute tows are made at stations that are randomly selected to provide unbiased abundance measurements. Station data includes: shipboard sensors, including ship speed and position, dredge angle, voltage and amperage of electrical current that powers the pump on the dredge (through 2011), manifold pressure, water depth and temperature. Biological data includes: catch weight, catch number, lengths, weights, and meat weights.
2.6.5 Layers
| id | name | type | geometryType |
|---|---|---|---|
| 0 | OQ_Strata | Feature Layer | esriGeometryPolygon |
| 1 | SC_Strata | Feature Layer | esriGeometryPolygon |
2.6.6 Fields
2.6.6.1 OQ_Strata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| group_1 | Group_1 | Strata ID | nvarchar |
| arsqkm2 | Area (square km) | Strata area in square kilometers | float |
| mn_dpth | Minimum depth | Minimum depth of strata | float |
| maxdpth | Maximum depth | Maximum depth of strata | float |
| avgdpth | Average depth | Average depth of strata | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.7 Sea Scallop Survey
2.7.1 ArcGIS Feature Service
Click here.
2.7.2 InPort Metadata
Yes, see here.
2.7.3 Description
The standardized NEFSC Sea Scallop Survey began in 1980 and has covered an area from Cape Hatteras to Georges Bank. 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. The HabCam is conducted using transects across bathymetry lines in the same area as the dredge tows. Various vessels have served as a platform for the survey, including NOAA vessels: FRV Albatross IV, FRV Oregon II, FRV Chapman, FV Tradition and currently, the UNOLS vessel RV Hugh R. Sharp.
2.7.6 Fields
2.7.6.1 SCALLOP_Strata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| sams | SAMS | Code for strata | nvarchar |
| newsams | New SAMS | New code for strata | nvarchar |
| area | Area (sq km) | Stratum area in square kilometers | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version Date | Date of last update | datetime2 |
2.8 Northern Shrimp Survey
2.8.1 ArcGIS Feature Service
Click here.
2.8.2 InPort Metadata
Yes, see here.
2.8.3 Description
The Northern Shrimp Survey was initiated in 1983 by the Atlantic States Marine Fisheries Commission (ASMFC) and monitors the relative abundance (number of shrimp), biomass (weight of shrimp), and composition of the northern shrimp stock throughout the Gulf of Maine. The data give an understanding of year class strength and sex stage and maturity of shrimp in the population. The survey focuses its efforts in offshore waters (in depths greater than 50 fathoms) and is timed to sample both males and females during the summer when they are expected to be offshore. The data it collects forms the basis of the annual northern shrimp assessment, which in turn, is used by fishery managers from Maine, New Hampshire and Massachusetts to set each year’s fishing regulations.
2.8.6 Fields
2.8.6.1 SHRIMP_Strata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| shrimpst_1 | Shrimp ID | Shrimp ID number | float |
| stratum | Stratum ID | A predefined area where a net dredge | nvarchar |
| acres | Acres | Area of strata in acres | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.9 Hook and Line Survey
2.9.1 ArcGIS Feature Service
Click here.
2.9.3 Description
The Hook and Line Survey will collect species-specific aggregate weight and abundance, as well as individual lengths and biological characteristics (e.g., age, maturity, genetics, diet, energetics). Tagging will also be conducted opportunistically and by request. A suite of environmental data will be collected via conductivity, temperature, and depth (CTD) deployments at each survey station. Habitat data will be collected using seafloor imaging (still or video) techniques. Finally, operational and gear deployment data will be collected for every gear set.The Hook and Line Survey is a new survey, so all data uses are prospective. Once the survey is mature, the data will be used in stock assessments for a variety of commercially and recreationally important species and for analyses that support management actions. This will encompass species covered by the Mid-Atlantic Fishery Management Council (MAFMC), New England Fishery Management Council (NEFMC), and Atlantic States Marine Fisheries Commission (ASMFC), including but not limited to Atlantic cod (Gadus morhua), haddock (Melanogrammus aeglefinus), pollock (Pollachius pollachius), white hake (Urophycis tenuis), red hake (Urophycis chuss), summer flounder (Paralichthys dentatus), scup (Stenotomus chrysops), black sea bass (Centropristis striata), bluefish (Pomatomus saltatrix), spiny dogfish (Pomatomus saltatrix), Atlantic croaker (Micropogonias undulatus), and skates. At least 5 years of Hook and Line Survey data will be required before abundance indices from the survey are integrated into stock assessments, but habitat and biological data could be used immediately to supplement existing data streams. Beyond stock assessments and management, the data from the Hook and Line Survey will also be used in research to understand the cumulative impacts of offshore wind on resource species and their habitats.Note that the Hook and Line Survey is a new survey and is still in planning and review. The exact geographic extent and survey strata are still under review. The geographic extent displayed here is tentative.
2.9.6 Fields
2.9.6.1 HL_Strata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| area | Area (sq km) | Strata area in square kilometers | float |
| perimeter | Perimeter (km) | Perimeter of strata in kilometers | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.10 Bottom Trawl Survey
2.10.1 ArcGIS Feature Service
Click here.
2.10.2 InPort Metadata
Yes, see here.
2.10.3 Description
The Northeast Fisheries Science Center (NEFSC) Bottom Trawl Survey (BTS) is the primary source of synoptic, shelf-wide, multiseason, annually repeated fish and oceanographic dataon the Northeast U.S. Shelf. Furthermore, it is the primary data source of relativeabundance data for 48 stock assessments (and an important component of an additional 6assessments), as well as the source of population demography, maturity, and stomachcontents data for the region. It is also a reliable source of other biological samples, as requested, from internal and external partners.The objectives of the NEFSC BTS are twofold: (1) to monitor trends in biological parameters(e.g., recruitment, biomass, growth, maturity, mortality) and geographic distribution of fish and invertebrates of the Northwest Atlantic Continental Shelf; and (2) collect and monitor ecosystem-level data for broad-scale oceanographic and environmental changes.The BTS is fully standardized, including sampling gear construction and performance,vessel(s), standard operating procedures, and spatiotemporal sampling consistency.Survey catch is identified to species level for all fish and a subset of invertebrates (i.e.,decapods, cephalopods, some bivalves), and aggregate catch weights are recorded foreach species. Biological samples and individual weights are collected for subsampled fish,subsampled invertebrates, and all protected species.The gear captures smaller size classesthan commercial gears, and therefore provides estimates of cohorts before they enter thefishery, as well as critical samples of immature fish to inform maturity curves.Oceanographic sampling includes a vertical conductivity, temperature, and depth (CTD) cast at all trawl stations, oblique bongoplankton tows at a subset of stations, and continuous measurement of additional variablesvia a surface water flow-through system.
2.10.6 Fields
2.10.6.1 BTS_Strata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| strata_num | Strata number | Strata ID number | float |
| region | Region | Strata region ID | float |
| sector | Sector | Strata sector ID | float |
| samp_freq | Sampling frequency | nvarchar | |
| area_sqnm | Area (sq nm) | Area of strata in square nautical miles | float |
| depth_m | Depth (m) | Average depth of strata in meters | nvarchar |
| strata | Strata | Strata ID | nvarchar |
| n | n | n | float |
| earliest_t | Earliest tow | Year of earliest tow in strata | float |
| latest_tow | Latest tow | Year of latest tow in strata | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.11 Marine Mammal and Sea Turtle Survey
2.11.1 ArcGIS Feature Service
Click here.
2.11.3 Description
The Atlantic Marine Assessment Program for Protected Species conducts surveys and develops abundance and distribution models to better understand how protected species such as whales, dolphins, and sea turtles use our waters. We are developing models and tools to provide seasonal abundance estimates that incorporate environmental habitat characteristics for marine mammals, turtles, and seabirds in the western North Atlantic Ocean. The program coordinates the data collection and analysis efforts of NOAA Fisheries’ Northeast and Southeast science centers and the U.S. Fish and Wildlife Service Division of Migratory Birds. Through these efforts, we are providing enhanced data to managers and supporting conservation initiatives.
2.12 North Atlantic Right Whale Aerial Survey
2.12.1 ArcGIS Feature Service
Click here.
2.12.3 Description
The North Atlantic Right Whale Sighting Survey (NARWSS) is a NOAA Fisheries program conducted by the Northeast Fisheries Science Center, which conducts aerial surveys to locate and record the seasonal distribution of North Atlantic right whales (Eubalaena glacialis) off the northeastern coast of the United States. The purpose of these North Atlantic Right Whale (NARW) aerial surveys is to monitor the population, track injury rates, and identify areas of entanglement and vessel collision risks.The Marine Mammal Protection Act (MMPA) and Endangered Species Act (ESA) mandates the National Marine Fisheries Service (NMFS) to evaluate the status of the NARW population and reduce mortality below the population’s Potential Biological Removal (PBR) in order for the species to recover. A major component of the surveys is photo identification of individual right whales to estimate the population and its annual rate of mortality. Distance sampling data is collected for all large whale species during systematic aerial surveys of neritic waters of the eastern seaboard of the U.S. Additional aerial surveys are focusedin areas of seasonal right whale occurrence. Right whale absolute density (individuals km2) is calculated from spatial, temporal, and environmental covariates, accounting for detectability differencesbetween observation conditions, and corrected for perception and availability biases, whale dive behavior, group composition, and group size. Seasonal densities are calculated using covariate maps.When right whales are encountered, the aircraft breaks from the systematic trackline to circle and collect photographs of natural markings on the whales for individual identification using handheld digital cameras. Estimation of the NARW population is based on a state-space model of the sighting histories of individual whales constructed from the centralphoto-ID catalog curated at the New England Aquarium. Most of the population is photographically captured each year. The comprehensive capture effort provides small credible intervals to the population estimate, which in turn provides relatively precise estimates of annual mortality.High precision estimates of right whale mortality are critical to meet conservation goals. Photographic captures in specific areas over shorter periods can provide estimates of both local abundance and seasonal residency of individuals.
2.12.5 Layers
| id | name | type | geometryType |
|---|---|---|---|
| 0 | NARW_Surveylines | Feature Layer | esriGeometryPolyline |
| 1 | NARW_Strata | Feature Layer | esriGeometryPolygon |
2.12.6 Fields
2.12.6.1 NARW_Surveylines
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| name | Name | Name of survey area | nvarchar |
| strata | Strata | Strata area | nvarchar |
| transect | Transect | Transect number for transect strata | float |
| miles | Length (miles) | Length of survey line in miles | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.13 Gulf of Maine Bottom Longline Survey
2.13.1 ArcGIS Feature Service
Click here.
2.13.3 Description
The Cooperative Gulf of Maine Bottom Longline Survey is conducted in the western and central Gulf of Maine. We work with our region’s commercial fishing community to collect fisheries data in rocky bottom habitats that complements data collected on our annual bottom trawl surveys. Rocky habitats are a challenge to sample with trawl survey gear. Our Bottom Longline Survey addresses that concern by using gear more likely to capture species that prefer rough-bottom habitat in the Gulf of Maine.The survey provides data on commercially and recreationally important fish species as well as critical information about data-poor species.Our survey provides a more complete picture of the abundance, distribution, and biology of commercially and recreationally important fish that live in rocky habitats. Longlines are good at sampling for fish in rocky areas, increasing the data available to study these populations. As a result, stock assessments are more robust and fishery managers have better information to go on when crafting fishing regulations.By working with fishermen to develop and execute this survey, we hope to build trust in the data produced.
2.13.5 Layers
| id | name | type | geometryType |
|---|---|---|---|
| 0 | GOMBLL_Strata | Feature Layer | esriGeometryPolygon |
| 1 | GOMBLL_Substrata | Feature Layer | esriGeometryPolygon |
2.13.6 Fields
2.13.6.1 GOMBLL_Strata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| objectid | Object ID | Object ID number | float |
| str2 | Str2 | Str2 ID number | float |
| strata | Strata | Strata ID number | nvarchar |
| numsta | Number of stations | Number of survey stations in strata | float |
| area | Area (sq km) | Area of strata | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.13.6.2 GOMBLL_Substrata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| smoothbott | Smooth bottom | bottom type 1-smooth bottom | float |
| str2 | Str2 | Str2 ID number | float |
| strata | Strata | Strata ID number | nvarchar |
| numsta | Number of stations | Number of survey stations in strata | float |
| area | Area (sq km) | Area of strata | float |
| substrata | Substrata | Substrata ID number | nvarchar |
| individare | Individual Area | Area of substrata | float |
| percentoft | Percent of t | Substrata percent of area of strata | float |
| newsta | New station | New station numbers | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.14 eDNA Survey
2.14.1 ArcGIS Feature Service
Click here.
2.14.3 Description
Scientists at NOAAs 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. The scientist copies a specific part of the DNA. The target region of DNA is copied millions of times, amplifying it enough that it can be sequenced.Compared to traditional DNA sequencing, the sequencing used 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 eDNA metabarcoding, an innovative way to determine what fish species live in what parts of the ocean without actually seeing any fish.
2.14.5 Layers
| id | name | type | geometryType |
|---|---|---|---|
| 0 | eDNA_Strata | Feature Layer | esriGeometryPolygon |
| 1 | eDNA_Stations | Feature Layer | esriGeometryPoint |
2.14.6 Fields
2.14.6.1 eDNA_Strata
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| name | Name | Unique strata/station ID | float |
| numofpoly | Number of polygons | Number of polygons that make up the strata | float |
| numofsta | Number of stations | Number of plankton stations sampled in the strata for current ECOMON program | float |
| region | Region | Strata groupings | nvarchar |
| type | Type | Strata description | nvarchar |
| acres | Area (acres) | Area of strata in acres | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.14.6.2 eDNA_Stations
| name | alias | description | dataType |
|---|---|---|---|
| FID | FID | Unique object ID | int |
| em_seq | Em sequence | Em sequence number | float |
| fixed_seq | Fixed sequence | Fixed sequence number | float |
| name | Name | Unique strata/station ID | nvarchar |
| region | Region | Strata groupings | nvarchar |
| strata | Strata | Unique strata ID number | float |
| deployment | Deployment | Equipment deployment type | nvarchar |
| bongo_prot | Bongo protocol | Bongo protocol | nvarchar |
| depth | Depth (m) | Station depth in meters | float |
| lat | Latitude | Station latitude | float |
| lon | Longitude | Station longitude | float |
| survey_nam | Survey name | Name of NEFSC scientific survey | nvarchar |
| version_da | Version date | Date of last update | datetime2 |
2.15 Passive Acoustic Monitoring Survey
2.15.1 ArcGIS Feature Service
Click here.
2.15.3 Description
This dataset displays deployment details of known retrieved, current, and proposed Passive Acoustic Monitoring (PAM) device deployments.
2.15.6 Fields
2.15.6.1 PAM_Deployments
| name | alias |
|---|---|
| objectid | OBJECTID |
| operator | OPERATOR |
| poc_email | POC EMAIL |
| project_name | PROJECT NAME |
| site | SITE |
| latitude | LATITUDE |
| longitude | LONGITUDE |
| instrument | INSTRUMENT |
| co_deployment | CO DEPLOYMENT |
| other_instruments | OTHER INSTRUMENTS |
| status | STATUS |
| deploy_start_date | DEPLOY START DATE |
| deploy_end_date | DEPLOY_END_DATE |
| deploy_end_date_map | DEPLOY END DATE |
| data_repository | DATA REPOSITORY |
| project_in_database | PROJECT_IN_DATABASE |
| date_submitted | DATE SUBMITTED |
| project_link | PROJECT LINK |
| date_added | DATE ADDED |
| label | LABEL |
| comments | COMMENTS |
2.16 Standard Operating Procedure
2.16.1 Naming convention for spatial tables in oracle database
NEFSC scientific survey strata are compiled in the oracle database under the MDEB_SPATIAL schema. All spatial tables are projected in North American Datum of 1983 (NAD 83). NEFSC scientific survey strata naming conventions are as follows:
For example, the Bottom Trawl Survey strata:
MDEB_SPATIAL.SMIT_BTS_STRATA
Surveys with associated substrata are named as follows:
SCHEMA.SMIT_SURVEYCODE_SUBSTRATA
Surveys with an associated point layer (ex. sample stations) are named as follows:
SCHEMA.SMIT_SURVEYCODE_STATIONS
Surveys with an associated line layer (ex. surveylines) are named as follows:
SCHEMA.SMIT_SURVEYCODE_LINES
Metadata tables for associated survey strata are named as follows:
SCHEMA.SMIT_SURVEYCODE_META
2.16.2 Table 1. NEFSC Scientific Survey names and survey codes
| Survey code | Survey name |
|---|---|
| BTS | Bottom Trawl Survey |
| COASTSPAN | Coastal Shark Pupping and Nursing Survey |
| CSBLL | Coastal Shark Bottom Longline Survey |
| ECOMON | Ecosystem Monitoring Survey |
| EDNA | eDNA survey |
| GOMBLL | Gulf of Maine Bottom Longline Survey |
| HL | Hook and Line Survey |
| MMST | Marine Mammal and Sea Turtle Aerial and Vessel Survey |
| NARW | North Atlantic Right Whale Aerial Survey |
| OQ | Ocean Quahog Survey |
| SC | Atlantic Surfclam Survey |
| SCALLOP | Scallop Survey |
| SEAL | Seal Aerial Survey |
| SHRIMP | Northern Shrimp Survey |
| TURTLE | Turtle Ecology Survey |