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Abalone commercial catch sampling
The abalone commercial catch sampling project contains length-based samples from diver catches collected in Tasmania waters.
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Abalone commercial catch sampling
공공데이터포털
The abalone commercial catch sampling project contains length-based samples from diver catches collected in Tasmania waters.
Spencer Gulf Abalone biological sampling
공공데이터포털
Measures of abalone biology - length, weight, growth rate in the Spencer Gulf, South Australia.
Spencer Gulf Abalone fishery monitoring
공공데이터포털
Fishery independent surveys of greenlip abalone in the Spencer Gulf, South Australia from 1968 onwards.
Spencer Gulf fisheries, Sardine Research Catch and Effort Logbook Data
공공데이터포털
Monitor catch and effort fluctuations in South Australia's sardine fishery and to provide a basis for assessment of fish stocks. Quantity of fish and effort expended in taking the catch is recorded by trip logbook returns submitted by the pilchard fisher on a shot by shot basis. Ongoing since 1999.
Spencer Gulf fisheries, Blue Crab Pot Fishery Catch and Effort Data
공공데이터포털
Blue Swimmer Crab daily catch and effort data. Spencer Gulf and Gulf St Vincent, South Australia since 1997.
Fishery independent abalone density
공공데이터포털
This fishery independent abalone abundance assessment project contains abalone density and size frequency data collected from transect surveys at approximately 25 sites, mostly in south-east Tasmania, but also the south-west coast, Three Hummock Island, Flinders and Hogan islands between 2002 and 2005.
Non-commercial Shore-based Fishing Estimated Average Annual Catch of Reef Fish, 2004-2013 - Hawaii
공공데이터포털
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.
Spencer Gulf fisheries, Prawn Fisheries Catch and Effort Logbook Data
공공데이터포털
The Western King Prawn species (Penaeus latisculcatus) is landed from South Australian (SA) waters. The prawn industry in SA is divided into the Gulf St Vincent, Spencer Gulf, and West Coast fisheries. A separate fishery in Investigator Strait operated until 1986/87 when it was amalgamated into the Gulf St Vincent fishery. The Gulf St Vincent fishery was closed in 1991/92 and 1992/93. The West Coast fishery was voluntarily closed in 1992/93. This system monitors catch and effort fluctuations in the state's prawn industry. The quantity of prawns (kg) and effort (hours trawled) to catch the prawns are recorded for each fishing period from records submitted by the trawler operators.
Non-commercial Fishing Estimated Average Annual Catch of Reef Fish, 2004-2013 - Hawaii
공공데이터포털
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 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 non-commercial boat-based and shore-based Ocean Tipping Points (OTP) rasters for all gear types (line, net, and spear); for specific details, see respective layers. 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.
Non-commercial Shore-based Line Fishing Estimated Average Annual Catch of Reef Fish, 2004-2013 - Hawaii
공공데이터포털
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.