The Sensitive Areas Scallop dataset shows areas within Maryland's Coastal Bays that are significant for Scalloppopulations. The assumption is that an area's importance to Scallops is related to the density of SAV beds. The data set is based on 1999 Submerged Aquatic Vegetation (SAV) coverage dataset that was produced at the Virginia Institute of Marine Science from aerial photography flown in 1999. It is a portion of the full SAV dataset that extends back to 1971. Areas with a bed density of 1 and 2 (rank=5) were more important than those areas with a density of 3 (rank = 3).

PURPOSE: This data relates to the Canadian Science Advice Secretariat (CSAS) Regional Science Advisory Process from the Limit Reference Point and Population Model Review of the Southern Gulf of Saint Lawrence Sea Scallop peer review meeting held on November 1-2, 2023. The SFAs 22 and 24 have been identified as the core scallop habitat within the sGSL for this process. Associated publications from this meeting will be posted on the Fisheries and Oceans Canada (DFO) Science Advisory Schedule as they become available. DESCRIPTION: Data on landings, fishing efforts, and catch per unit effort (CPUE) used in the stock assessment for southern Gulf of St. Lawrence (sGSL) sea scallop (_Placopecten magellanicus_) stock assessments and the limit reference point. The dataset contains corrected information from the following data sources: - DFO annual historic reports on landings and efforts - published documents about population assessments and surveys - logbooks, produced by DFO’s regional statistics - purchase slips, produced by DFO’s regional statistics - Catch per unit effort calculated by DFO's Science Branch Prior to 1947, data represents the combined landings that cannot be attributed to individual Scallop Fishing Areas (SFAs). USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

This table contains an attribute indicating sea scallop abundance for OCS blocks. It can be joined to an OCS block feature class to show the conservation priority attribute spatially. The source data are from the National Marine Fisheries Service sea scallop survey from 1994-2006.More information on the sea scallop fishery can be from from NMFS: http://www.nmfs.noaa.gov/fishwatch/species/atl_sea_scallop.htm

This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. The Sensitive Areas Scallop dataset shows areas within Maryland's Coastal Bays that are significant for Scalloppopulations. The assumption is that an area's importance to Scallops is related to the density of SAV beds. The data set is based on 1999 Submerged Aquatic Vegetation (SAV) coverage dataset that was produced at the Virginia Institute of Marine Science from aerial photography flown in 1999. It is a portion of the full SAV dataset that extends back to 1971. Areas with a bed density of 1 and 2 (rank=5) were more important than those areas with a density of 3 (rank = 3).Feature Service Link:http://geodata.md.gov/imap/rest/services/Biota/MD_Shellfish/FeatureServer/7 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

This dataset contains oceanographic and surface meteorological data collected from an automated shore station with a suite of sensors that are attached to Scripps Pier along the nearshore California coast. These automated sensors measure CHLOROPHYLL A CONCENTRATION, CONDUCTIVITY, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE, SALINITY, WATER DENSITY and WATER TEMPERATURE at frequent intervals in the nearshore coastal ocean. These data can provide local and regional information on mixing and upwelling, land run-off, and algal blooms. Southern California Coastal Ocean Observing System (SCCOOS) at Scripps Institution of Oceanography (SIO) collected the data and provided the data to SCCOOS, which assembles data from Southern California Coastal Ocean Observing System (SCCOOS) at Scripps Institution of Oceanography (SIO) and other sub-regional coastal and ocean observing systems of the Southern California Coastal United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. The data are made available in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Each quarter, NCEI adds to this dataset the data collected or updated during the previous quarter.

PURPOSE: The objective of the sea scallop survey is to obtain fishery independent data on the abundance, size distribution and location of scallops in the southern Gulf of St. Lawrence and to provide science advice on stock status to fishery managers, decision makers and industry stakeholders. DESCRIPTION: The sea scallop research survey is conducted on CCGS MPerley (or chartered vessels) and has stratified random sampling. For each tow (or sample), data is recorded on tow, all specimens caught, geolocation, shell height frequency and biological samples. PARAMETERS COLLECTED: Catch number (biological), catch weight (biological), individual lengths (biological), age (biological), meat weight (biological). PHYSICAL SAMPLE DETAILS: A sub-sample of scallop shells is retained and analysed for age determination in the lab. SAMPLING METHODS: From 2012 to 2016, an annual, rotational, multispecies research survey program for scallop in the sGSL was conducted to obtain fishery independent indices of abundance, biomass estimates, and biological characteristics information (shell height, meat weight, sex, clappers). One section of a SFA or the SFA in its entirety was surveyed per year, with the exception of SFA 23 which was excluded because of the low scallop fishing effort reported from this area in recent years. From 2019 to 2023, annual surveys were conducted on the three major beds in the Northumberland Strait (West Point and Cape Tormentine in SFA 22, Pictou in SFA 24), using a similar methodology as the previous surveys. Methodology can be found in the Science Advisory Report and the Research Document listed in the citations list. USE LIMITATION: Please contact the data custodians before attempting to use this information in support of any kind of scientific analyses.

The Sensitive Areas Foragers and Grazers dataset shows areas within Maryland's Coastal Bays that are significant for aquatic Forager and Grazer populations. The areas less than 3 feet deep are important to Foragers and Grazers. This dataset shows cumulative seasonal use. It does not break out the seasonality of use of certain areas of the Bays by aquatic Foragers and Grazers.

The Sensitive Shorebird Areas dataset was developed to show all locations in the Maryland Coastal Bays that are sensitive for shorebirds. The dataset is an subset of the National Wetlands Inventory (NWI) dataset. The polygons that were extracted from the NWI dataset were of the NWI_TYPE = E1UB4L and E2FLN. These wetland types represent specific types of subtidal and intertidal mud flats that are desireable to shorebirds. The polygons were further divided into four size classes each containing the same number of polygons. Larger areas were given a higher ranking than smaller areas.

The Sensitive Shorebird Areas dataset was developed to show all locations in the Maryland Coastal Bays that are sensitive for shorebirds. The dataset is an subset of the National Wetlands Inventory (NWI) dataset. The polygons that were extracted from the NWI dataset were of the NWI_TYPE = E1UB4L and E2FLN. These wetland types represent specific types of subtidal and intertidal mud flats that are desireable to shorebirds. The polygons were further divided into four size classes each containing the same number of polygons. Larger areas were given a higher ranking than smaller areas.