hi_otp_all_fishing_rec_shore_net eng UTF8 dataset service Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information pointOfContact 2024-11-14 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2 column 5958 0.0009424338738112136 row 3641 0.0009424338738112136 area Non-commercial Shore-based Net Fishing Estimated Average Annual Catch of Reef Fish, 2004-2013 - Hawaii 2017-04-18 creation 2017-04-18 issued 2017-04-18 revision org.pacioos hi_otp_all_fishing_rec_shore_net Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information principalInvestigator Kimberly A. Selkoe National Center for Ecological Analysis and Synthesis (NCEAS) selkoe@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Kim http web browser information originator Ocean Tipping Points (OTP) info@oceantippingpoints.org http://oceantippingpoints.org http web browser information resourceProvider Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher Related publications: Wedding LM, Lecky J, Gove JM, Walecka HR, Donovan MK, et al. (2018) Advancing the integration of spatial data to map human and natural drivers on coral reefs. PLOS ONE 13(3): e0189792. https://doi.org/10.1371/journal.pone.0189792; McCoy KS, Williams ID, Friedlander AM, Ma H, Teneva L, Kittinger JN (2018) Estimating nearshore coral reef-associated fisheries production from the main Hawaiian Islands. PLoS ONE 13(4): e0195840. https://doi.org/10.1371/journal.pone.0195840. 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 net 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 net fishing at each coastal point. Catch was then extended offshore to the 20-ft depth contour with a maximum distance from shore of 1 km. 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 layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points (OTP) project (http://oceantippingpoints.org). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process, and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. The Ocean Tipping Points project, 2016. Please acknowledge the Ocean Tipping Points project as a source when these data are used in the preparation of reports, papers, publications, maps, and other products. When applying these data for publication, please reference and cite the following journal article: Wedding LM, Lecky J, Gove JM, Walecka HR, Donovan MK, et al. (2018) Advancing the integration of spatial data to map human and natural drivers on coral reefs. PLOS ONE 13(3): e0189792. https://doi.org/10.1371/journal.pone.0189792. Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information pointOfContact http://pacioos.org/metadata/browse/hi_otp_all_fishing_rec_shore_net.png Sample image. Earth Science > Agriculture > Agricultural Aquatic Sciences > Fisheries Earth Science > Biosphere > Aquatic Ecosystems > Reef Habitat Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Reef > Coral Reef Earth Science > Human Dimensions > Environmental Impacts Earth Science > Human Dimensions > Human Settlements > Coastal Areas Earth Science > Human Dimensions > Social Behavior > Recreational Activities/Areas > Fishing Earth Science > Human Dimensions > Sustainability > Environmental Sustainability Earth Science > Oceans > Aquatic Sciences > Fisheries Earth Science > Oceans > Coastal Processes > Coral Reefs theme GCMD Science Keywords Continent > North America > United States Of America > Hawaii Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands place GCMD Location Keywords PacIOOS > Pacific Islands Ocean Observing System project GCMD Project Keywords PacIOOS > Pacific Islands Ocean Observing System dataCenter GCMD Data Center Keywords Please contact the Ocean Tipping Points (OTP) project in advance of applying these data to project work so that the principal investigator, Carrie Kappel (kappel@nceas.ucsb.edu), can track and communicate data uses and ensure no duplicate efforts are underway. The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, University of Hawaii, PacIOOS, NOAA, State of Hawaii nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information. Pacific Islands Ocean Observing System (PacIOOS) largerWorkCitation project eng biota environment farming oceans society 1 -160.29941254176182 -154.68344908772082 18.846850701273556 22.279194869693995 Non-commercial Shore-based Net Fishing Estimated Average Annual Catch of Reef Fish, 2004-2013 - Hawaii 2017-04-18 creation 2017-04-18 issued 2017-04-18 revision Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher 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 net 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 net fishing at each coastal point. Catch was then extended offshore to the 20-ft depth contour with a maximum distance from shore of 1 km. 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. Open Geospatial Consortium Web Coverage Service (WCS) 1 -160.29941254176182 -154.68344908772082 18.846850701273556 22.279194869693995 tight GetCapabilities https://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_fishing_rec_shore_net/ows?service=WCS&version=1.0.0&request=GetCapabilities OGC:WCS OGC-WCS Open Geospatial Consortium Web Coverage Service (WCS). Supported WCS versions include 1.0.0, 1.1.0, and 1.1.1. Supported output formats include GeoTIFF, GIF, JPEG, PNG, or TIFF. download Non-commercial Shore-based Net Fishing Estimated Average Annual Catch of Reef Fish, 2004-2013 - Hawaii 2017-04-18 creation 2017-04-18 issued 2017-04-18 revision Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher 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 net 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 net fishing at each coastal point. Catch was then extended offshore to the 20-ft depth contour with a maximum distance from shore of 1 km. 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. Open Geospatial Consortium Web Map Service (WMS) 1 -160.29941254176182 -154.68344908772082 18.846850701273556 22.279194869693995 tight GetCapabilities https://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_fishing_rec_shore_net/ows?service=WMS&version=1.3.0&request=GetCapabilities OGC:WMS OGC-WMS Open Geospatial Consortium Web Map Service (WMS). Supported WMS versions include 1.1.1 and 1.3.0. Supported map formats include AtomPub, GeoRSS, GeoTIFF, GIF, JPEG, KML/KMZ, PDF, PNG, SVG, and TIFF. Supported info formats include GeoJSON, GeoJSON-P, GML, HTML, and plain text. download Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher https://geo.pacioos.hawaii.edu/geoserver/ http GeoServer This URL provides access to this dataset via GeoServer, including multiple output formats and an OpenLayers viewer. download http://pacioos.org/projects/oceantippingpoints/#data http PacIOOS Ocean Tipping Points (OTP) Data Viewer This URL provides a viewer and/or data access for this dataset. download dataset 2017-04-18T00:00:00Z OGC web services (WMS and WFS) enabled by PacIOOS via GeoServer. Original data from source provider may have been reformatted, reprojected, or adjusted in other ways to optimize these capabilities. This record was translated and enhanced from GeoServer OGC Web Services (OWS) using PacIOOS software.