The data used in the FIN warehouse for Recreational Catch, Harvest and Effort estimates are based on the National Marine Fisheries Service, Marine Recreational Information Program (MRIP). As MRIP staff complete estimates of catch they are transferred to the FIN database.

The Marine Recreational Information Program is the way NOAA Fisheries counts and reports marine recreational catch and eff...

This dataset is comprised of annual estimates of catch-per-unit-effort (CPUE) and average length in the exploited phase for six principal fish species generated from the recreational fisheries intercept survey conducted by the National Marine Fisheries Service. The original intercept survey data are publicly available online http://www.st.nmfs.noaa.gov/recreational-fisheries/MRIP, and are divided into two time periods/data formats: MRFSS (Marine Recreational Fisheries Statistical Survey), 1981-2003; and MRIP (Marine Recreational Information Program), 2004-2016. The annual estimates of CPUE and average length are provided for the Florida Gulf Coast region, and are two key indicator variables for stock assessment of sustainability status. These biological indicator variables can subsequently be used in two different classes of assessment models to evaluate fishing mortality rates and stock sustainability, namely unstructured surplus production models and size/age structured models. The 36-year time period for the indicator variables will also facilitate the application of more sophisticated time-series stock assessment approaches using biomass-dynamic and age/size cohort-structured models. A series of data processing and analysis procedures using SAS were applied to generate estimates of annual CPUE and average length for six principal recreational species: Spotted Seatrout, Red Drum, Gag, Red Grouper, Gray Snapper, and Red Snapper. Key steps in preparing data for estimation were: (1) identifying principal recreational species in Florida's Gulf Coast; (2) summarizing sampled catch and effort by an appropriate statistical sample unit, namely a fishing party trip of one or more individuals by fishing gear (e.g., hook-line, spear, etc.); and (3) applying species co-occurrence analysis to distinguish between trips with zero and non-zero probability of capture for a given target species. Estimation of mean CPUE and average length in the exploited phase and associated standard errors for a given species were carried out using a survey design ratio-of-means estimator. Annual estimates of CPUE and average length are provided for each target species by year and fishing mode-spatial area (shoreline-inshore, vessel-inshore, shoreline offshore, vessel-offshore within 10 miles, vessel-offshore greater than 10 miles) for the principal fishing gear, hook-line. The CPUE and average length estimates are provided as two separate data tables.

The Marine Recreational Information Program (MRIP) maintains an online database of saltwater fishing access sites and locations which directly support recreational fishing that serves as the sample frame for their shoreside survey of recreational anglers. The Site Register (SR) is a database of all access sites along the Atlantic and Gulf Coasts of the United States from which saltwater recreational fin-fishing may occur. Information provided for each site in the SR includes site descriptors, site location, and recreational fishing activity information by fishing mode (fishing from shore, private or rental boat fishing, charter boat fishing, or headboat fishing). The SR database is maintained at NOAA Fisheries and is accessed by private or public guest account on the website: https://www.st.nmfs.noaa.gov/siteregister/html/siteRegister.jsp (or by searching for ‘MRIP Site Register’ in any web browser). The data contained within this data layer was exported from the SR on February 1, 2021.Locations identified as "Retired" within the original database were not mapped as these locations may no longer exist or may be hostile for MRIP survey purposes. Within New Jersey, 61 locations from the original February 1, 2021 data export were designated as "Retired".Upon creation of the GIS layer based upon the MRIP data, staff from the NJ Marine Fisheries Administration (MFA) reviewed the layer in order to determine whether any additional locations should be included. Upon completion of that review, one additional location was submitted by MFA staff to be included in the GIS product and is included in this dataset. MFA locations can be identified as those points with a Site ID beginning with the number 99000.

Stated preference choice experiment data were collected in conjunction with NMFS’ Marine Recreational Fisheries Statistics Survey (MRFSS) along the coastal states of Maine, New Hampshire, and Massachusetts during 2014. All anglers intercepted in Maine, New Hampshire, and Massachusetts for NMFS' Marine Recreational Information Program (MRIP) intercept survey were asked to participate in a volun...

Abstract: CSDMS model. Visit https://dataone.org/datasets/http%3A%2F%2Fget.iedadata.org%2Fmetadata%2Fiso%2F100149 for complete metadata about this dataset.

FunCoup network information for gene MRIP in Homo sapiens. MPRIP_HUMAN Myosin phosphatase Rho-interacting protein

This survey provides economic data related to marine recreational fishing in the Gulf of Mexico. The data collected include preference and opinion information necessary to accurately measure the economic effects of regulation changes on the recreational fishing community. The mail survey design was stratified to cover three sampling frames: 1) the MRIP saltwater angler registry for private boat anglers 2) the LA for-hire angler license frame for these anglers and 3) volunteers intercepted by MRIP for for-hire anglers outside of LA. A stated preference choice experiment allows for the calculation of willingness to pay related to four important species.

Nearshore fisheries in the Main Hawaiian Islands encompass a diverse set of fisheries in which multiple gear types are used to harvest reef finfishes and invertebrates, estuarine species, and schooling coastal pelagic fishes. Communities in Hawaiʻi often rely on these fisheries for economic, social, and cultural services. Stress from over-fishing can cause ecosystem degradation and long-term economic loss.We created a series of fisheries catch data layers for catch of reef finfishes, grouped into three categories of fishing platforms (non-commercial shore, non-commercial boat, and commercial) and three subcategories of fishing gear (line, net, and spear). For all fishing layers we accounted for marine protected areas (MPAs) where fishing is prohibited and de facto MPAs (e.g., military danger areas) where access is restricted. All fisheries catch layers represent the average annual catch per unit area in units of kg ha-1 yr-1. The layer used in the cumulative impact analysis and displayed in the viewer above is the combined total catch from all gear specific commercial and non-commercial fishing layers described below. Non-commercial Shore-based Fisheries Catch – We used estimates of average annual catch by platform and gear type at the island scale, from 2004-2013, derived from Marine Recreational Information Program (MRIP) survey data. These island-scale estimates were combined with measures of shoreline accessibility (terrain steepness and presence of roads) to spatially distribute catch offshore around each island.Line: Catch was extended 200 m offshore; Net: Catch was extended offshore to the 20-ft (6.1-m) depth contour or a maximum distance of 1 km from shore; Spear: Catch was extended offshore based on a decay function where catch decreases with depth to 40 m or a maximum distance of 2 km offshore, and assumes the vast majority of catch occurs shallower than 20 m.Non-commercial Boat-based Fisheries Catch – We used estimates of average annual catch by pacioos.org/projects/otp/#dataplatform and gear type at the island scale, from 2004‑2013, derived from Marine Recreational Information Program (MRIP) survey data. In order to spatially distribute catch offshore around each island, we used a function that decays with distance to boat harbors and launch ramps, and weighted the amount of catch out of each ramp/harbor based on the human population within the surrounding 30 km.Commercial Fisheries Catch – We used average annual catch of reef fish by gear type over the years 2003-2013 as reported in commercial catch data collected by the State of Hawaiʻi Department of Aquatic Resources (DAR). Commercial catch is reported to DAR in large irregular reporting blocks, by gear and by species. Since it is not possible to distinguish between boat- and shore-based fishing activity with DAR’s gear categories, we assumed that catch is evenly distributed across each reporting block.Individual reef fish fishing layers by platform and gear can viewed on the PacIOOS website (pacioos.org/projects/otp/#data).Gove JM, Maynard JA, Lecky J, Tracey DP, Allen ME, Asner GP, Conklin C, Couch C, Hum K, Ingram RJH, Kindinger TL, Leong K, Oleson KLL, Towle EK, van Hooidonk R, Williams GJ, Hospital J. 2022. 2022 Ecosystem Status Report for Hawaii. Pacific Islands Fisheries Science Center, PIFSC Special Publication.https://www.fisheries.noaa.gov/inport/item/67646For more detail on input data sources and methodology see:Lecky J. Ecosystem Vulnerability and Mapping Cumulative Impacts on Hawaiian Reefs. University of Hawai‘i Mānoa, 2016, https://hdl.handle.net/10125/51453.Wedding LM & Lecky J, et al. Advancing the Integration of Spatial Data to Map Human and Natural Drivers on Coral Reefs. PLoS ONE, vol. 13, no. 3, 2018, doi:10.1371/journal.pone.0189792.

Nearshore fisheries in the Main Hawaiian Islands encompass a diverse group of fishers using a wide array of gears and targeting many different species. Communities in Hawaii often rely on these fisheries for economic, social, and cultural services. However, the stress from overfishing can cause ecosystem degradation and long-term economic loss. This layer represents the average annual catch of reef fish by non-commercial boat-based line fishing methods. Average annual catch at the island scale from 2004-2013 was estimated from Marine Recreational Information Program (MRIP) combined fisher intercept and phone survey data (McCoy et al., 2018). These island-scale estimates were spatially distributed offshore using distance to boat harbors and launch ramps while accounting for marine protected areas (MPAs) and de facto MPAs (e.g., military danger zones) where access is restricted. A Gaussian decay function assumed the majority of the catch occurs within 10-20 km of each harbor. Additionally, the Ocean Tipping Points (OTP) project weighted boat harbors by the human population present within 30 km. This layer's spatial footprint aligns with the inshore commercial reporting blocks for commercial fish catch reporting to the State of Hawaii Department of Aquatic Resources (DAR). Point data for boat harbors and launch ramps were combined from two datasets available from the Hawaii Statewide GIS Program website (Harbors.shp and BoatingFacilities.shp) (http://planning.hawaii.gov/gis/download-gis-data/). Data were checked for quality to ensure only operational boat harbors and launch ramps were included and geographic positions were accurate. Anchorages, fishing piers, historic, and disused ramps/harbors were removed prior to analysis. Boat facility weighting factors were calculated based on total human population within 30 km of each boat harbor or ramp. Human population was mapped based on 2010 census data and LANDFIRE land use/land cover data using the USGS Dasymetric Mapping Tool to gain a more accurate representation of population distribution. A 30-km buffer was then created around each boating facility and a Zonal Statistics tool was used to sum the human population within each buffer. These population values were then used to assign weights to each boating facility in order to allocate a proportion of total island catch estimates to each boat harbor or ramp. These weights sum to 1 for each island. In order to allocate catch proportionally to each boat harbor/ramp, estimated annual catch at the island scale and the human population-based weighting factor were joined to the attribute table of each boating facility's cost allocation footprint and used in a Gaussian decay function with each distance surface. This decay function assumes the majority of catch occurs within 10-20 km of a harbor or ramp and declines more rapidly with increasing distance. Catch in full no-take MPAs were set to zero and other areas with restricted access were reduced according to expert input and local knowledge. Pixel values within each boating facility's footprint were then rescaled such that the sum in each footprint was equal to the respective boat facility's weighting factor times the MRIP catch estimate for that island in units of kg per pixel. Finally, all raster layers for each boat harbor/ramp were summed together. Final pixels values are in units of kg/ha such that the sum of all pixels for each island is equal to the estimates of average annual catch from McCoy et al. (2018). Units, pixel size, and grid alignment are consistent with all other OTP fishing layers so that they can be compared directly or added together for various uses.

Revealed preference models provide insights into recreational angler behavior and the economic value of recreational fishing trips. This data is for the Northeast and is collected as needed, at irregular intervals. Typically collected as an economic add-on to the MRIP intercept survey and follow up phone or mail survey.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Nearshore fisheries in the Main Hawaiian Islands encompass a diverse group of fishers using a wide array of gears and targeting many different species. Communities in Hawaii often rely on these fisheries for economic, social, and cultural services. However, the stress from overfishing can cause ecosystem degradation and long-term economic loss. This layer represents the average annual catch of reef fish by non-commercial shore-based line fishing methods. Average annual catch at the island scale from 2004-2013 was estimated from Marine Recreational Information Program (MRIP) combined fisher intercept and phone survey data (McCoy et al., 2018). These island-scale estimates were spatially distributed offshore by combining two different proxies for shoreline accessibility (terrain steepness and presence of roads) while accounting for marine protected areas (MPAs) and de facto MPAs (e.g., military danger zones) where access is restricted. This layer's spatial footprint aligns with the inshore commercial reporting blocks for commercial fish catch reporting to the State of Hawaii Department of Aquatic Resources (DAR).

Slope of the shoreline was calculated in degrees using a USGS 10-m Digital Elevation Model (DEM). Topologically Integrated Geographic Encoding and Referencing (TIGER) road data from the US Census Bureau were used to classify the presence and type of roads. Attributes for slope and road accessibility were then combined into a single accessibility criterion. A weighting scheme was created that assumes easily accessible shorelines with flat slopes and paved public road access have the highest catch and that catch decreases incrementally with level of accessibility. Any combination that includes no accessibility due to steep slopes received a zero weight and therefore zero fishing. Weights sum to 1 for each island. These weights were then multiplied by the MRIP island-scale estimates of annual catch from line fishing at each coastal point. Catch was then extended offshore 200 m. Catch in full no-take MPAs were set to zero and other areas with restricted access were reduced according to expert input and local knowledge.

Final pixels values are in units of kg/ha such that the sum of all pixels for each island is equal to the estimates of average annual catch from McCoy et al. (2018). Units, pixel size, and grid alignment are consistent with all other OTP fishing layers so that they can be compared directly or added together for various uses.

This data set contains locations of rip currents in Cook Inlet, Alaska. Vector lines in the data set represent rip zone locations. Location-specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. See also the ICE (Ice Extent Lines) data layer, part of the larger Cook Inlet and Kenai Peninsula ESI database, for additional hydrologic information.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Cook Inlet and Kenai Peninsula. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Data come from MRIP telephone surveys in 2004–2013. Data are summarized as mean and standard deviation of values per wave (i.e., for the 60 2-month periods in that 10-year period). Participation rate is proportion of households in which someone fished in the preceding wave; trips per household represents the number of fishing trips per fishing household in that period. Total # trips was calculated using Eq 1. Number of households ranged from 63,209 to 64,909 for Hawaiʻi Island, 21,968 to 22,390 for Kauaʻi, 1,068 to 1,074 for Lānaʻi, 43,505 to 49,080 for Maui, 2,525 to 2,561 for Molokaʻi, and 303,794 to 309,803 for Oʻahu.

This dataset contains input data for an Ecopath model of the northern Gulf of Mexico (NGoM) designed to understand the effects of invasive lionfish on native reef fish communities. The model domain extends from 29°-30.5°N and 85.5°-88.5°W covering an area of approximately 48,000 km^2^ over the continental shelf ecosystem. The Ecopath model base year is 2010, which represent the starting values for Ecosim simulations run through 2017. Biomass density inputs are in units of mt/km^2^ and were derived from an ROV survey conducted on natural and artificial reefs in the NGoM (GRIIDC DOIs: 10.7266/N7J38QKR; 10.7266/N7XS5SZP; 10.7266/N7T1526M; 10.7266/N72J68SF; 10.7266/N7DV1GTP). Fish biomass densities on non-reef habitats were obtained from the SEAMAP trawl survey (https://seamap.gsmfc.org/index.php). Invertebrate biomasses were estimated in Ecopoath after providing the ecotrophic efficiencies from an existing Ecopath model of the West Florida Shelf (Chagaris et al. 2015; https://doi.org/10.1080/19425120.2014.966216). Production and consumption rates of fish were obtained from fishbase (www.fishbase.org) and for invertebrates were borrowed from the West Florida Shelf (WFS) model of Chagaris et al. (2015). Diet compositions were assimilated from data collected by the Florida FWC fish feeding ecology laboratory, the Gulf of Mexico Species Interactions Database (https://github.com/GoMexSI/gomexsi-web), trophic studies in the NGoM (Dahl and Patterson 2014; Dahl et al. 2017; GRIIDC DOI: 10.7266/N7XS5SBM), and Fishbase. Recreational landings and discards were obtained from the NOAA Fisheries Office of Science and Technology Marine Recreational Information Program (MRIP, https://www.st.nmfs.noaa.gov/recreational-fisheries/MRIP/) and commercial fishery statistics datasets (https://www.st.nmfs.noaa.gov/commercial-fisheries/commercial-landings/index).

Stated preference choice experiment data were collected in conjunction with NMFS’ Marine Recreational Fisheries Statistics Survey (MRFSS) along the coastal states of Maine, New Hampshire, and Massachusetts during 2014. All anglers intercepted in Maine, New Hampshire, and Massachusetts for NMFS' Marine Recreational Information Program (MRIP) intercept survey were asked to participate in a voluntary follow-up mail survey. Anglers who agreed to participate in the follow-up were sent mail questionnaires using a modified Dillman Tailored Design. The choice experiment survey asked anglers that have targeted Gulf of Maine cod, haddock, or pollock to simultaneously compare features of different hypothetical fishing trips and then to choose the trip they liked best. The features or attributes varied across trips and included bag and size limits of each species, the number of legal-sized fish caught of each species, the number of sub-legal sized fish caught of each species, the number of other types of fish that were legally kept, the trip length in hours, and the total trip cost. Respondents were also permitted to choose an opt-out option which was “Do something else: Freshwater fishing, Saltwater fishing for species other than cod, haddock and pollock, or don't go fishing.†The collection of choice responses from the various choice scenarios allows for the examination of tradeoffs and behavioral responses to various biological and regulatory changes. A total of 1,763 surveys were mailed out and 481 completed mail surveys were returned for a response rate of 27%.

Nearshore fisheries in the Main Hawaiian Islands encompass a diverse group of fishers using a wide array of gears and targeting many different species. Communities in Hawaii often rely on these fisheries for economic, social, and cultural services. However, the stress from overfishing can cause ecosystem degradation and long-term economic loss. This layer represents the average annual catch of reef fish by non-commercial shore-based fishing methods. Average annual catch at the island scale from 2004-2013 was estimated from Marine Recreational Information Program (MRIP) combined fisher intercept and phone survey data (McCoy et al., 2018). These island-scale estimates were spatially distributed offshore by combining two different proxies for shoreline accessibility (terrain steepness and presence of roads) while accounting for marine protected areas (MPAs) and de facto MPAs (e.g., military danger zones) where access is restricted. This layer's spatial footprint aligns with the inshore commercial reporting blocks for commercial fish catch reporting to the State of Hawaii Department of Aquatic Resources (DAR). This layer is the sum of the three final gear-specific non-commercial shore-based Ocean Tipping Points (OTP) rasters (line, net, and spear).

Slope of the shoreline was calculated in degrees using a USGS 10-m Digital Elevation Model (DEM). Topologically Integrated Geographic Encoding and Referencing (TIGER) road data from the US Census Bureau were used to classify the presence and type of roads. Attributes for slope and road accessibility were then combined into a single accessibility criterion. A weighting scheme was created that assumes easily accessible shorelines with flat slopes and paved public road access have the highest catch and that catch decreases incrementally with level of accessibility. Any combination that includes no accessibility due to steep slopes received a zero weight and therefore zero fishing. Weights sum to 1 for each island. These weights were then multiplied by the MRIP island-scale estimates of annual catch at each coastal point, for three shore-based gear types: line, net, and spear. For line fishing, catch was extended offshore 200 m. For net fishing, catch was extended offshore to the 20-ft depth contour with a maximum distance from shore of 1 km. For spear fishing, a logistic decay function was used so catch decreases with depth to 40 m or a maximum distance of 2 km from shore. Catch in full no-take MPAs were set to zero and other areas with restricted access were reduced according to expert input and local knowledge.

Final pixels values are in units of kg/ha such that the sum of all pixels for each island is equal to the estimates of average annual catch from McCoy et al. (2018). Units, pixel size, and grid alignment are consistent with all other OTP fishing layers so that they can be compared directly or added together for various uses.

myosin phosphatase Rho interacting protein Predicted to enable actin filament binding activity. Predicted to be involved in maintenance of protein location in cell and positive regulation of protein phosphorylation. Predicted to be located in cytosol and stress fiber. Predicted to be active in actin cytoskeleton. Is expressed in central nervous system and peripheral nervous system ganglion. Orthologous to human MPRIP (myosin phosphatase Rho interacting protein).

Nearshore fisheries in the Main Hawaiian Islands encompass a diverse group of fishers using a wide array of gears and targeting many different species. Communities in Hawaii often rely on these fisheries for economic, social, and cultural services. However, the stress from overfishing can cause ecosystem degradation and long-term economic loss. This layer represents the average annual catch of reef fish by non-commercial boat-based spear fishing methods. Average annual catch at the island scale from 2004-2013 was estimated from Marine Recreational Information Program (MRIP) combined fisher intercept and phone survey data (McCoy et al., 2018). These island-scale estimates were spatially distributed offshore using distance to boat harbors and launch ramps while accounting for marine protected areas (MPAs) and de facto MPAs (e.g., military danger zones) where access is restricted. A Gaussian decay function assumed the majority of the catch occurs within 10-20 km of each harbor. Additionally, the Ocean Tipping Points (OTP) project weighted boat harbors by the human population present within 30 km. This layer's spatial footprint aligns with the inshore commercial reporting blocks for commercial fish catch reporting to the State of Hawaii Department of Aquatic Resources (DAR).

Point data for boat harbors and launch ramps were combined from two datasets available from the Hawaii Statewide GIS Program website (Harbors.shp and BoatingFacilities.shp) (http://planning.hawaii.gov/gis/download-gis-data/). Data were checked for quality to ensure only operational boat harbors and launch ramps were included and geographic positions were accurate. Anchorages, fishing piers, historic, and disused ramps/harbors were removed prior to analysis. Boat facility weighting factors were calculated based on total human population within 30 km of each boat harbor or ramp. Human population was mapped based on 2010 census data and LANDFIRE land use/land cover data using the USGS Dasymetric Mapping Tool to gain a more accurate representation of population distribution. A 30-km buffer was then created around each boating facility and a Zonal Statistics tool was used to sum the human population within each buffer. These population values were then used to assign weights to each boating facility in order to allocate a proportion of total island catch estimates to each boat harbor or ramp. These weights sum to 1 for each island.

In order to allocate catch proportionally to each boat harbor/ramp, estimated annual catch at the island scale and the human population-based weighting factor were joined to the attribute table of each boating facility's cost allocation footprint and used in a Gaussian decay function with each distance surface. This decay function assumes the majority of catch occurs within 10-20 km of a harbor or ramp and declines more rapidly with increasing distance. Catch in full no-take MPAs were set to zero and other areas with restricted access were reduced according to expert input and local knowledge. Pixel values within each boating facility's footprint were then rescaled such that the sum in each footprint was equal to the respective boat facility's weighting factor times the MRIP catch estimate for that island in units of kg per pixel. Finally, all raster layers for each boat harbor/ramp were summed together.

Final pixels values are in units of kg/ha such that the sum of all pixels for each island is equal to the estimates of average annual catch from McCoy et al. (2018). Units, pixel size, and grid alignment are consistent with all other OTP fishing layers so that they can be compared directly or added together for various uses.

Slope failures along this section have led to a number of proposed remedial works, including rip rap placement at sites identified by the Ministry of Environment, Lands and Parks (MOELP) and the Department of Fisheries and Oceans (DFO) staff as sensitive to fish utilizing the mainstem Morice River. This report presents information about rip rap slope stabilization in the Morice River.