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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
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data | graph | files | public | [Observed and modeled presence 1968-2014] - Trawl survey data and species distribution model predictions for presence, absence and abundance (Adaptations of fish and fishing communities to rapid climate change) | F I M | background | BCO-DMO | bcodmo_dataset_753142 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson |
attribute | NC_GLOBAL | acquisition_description | String | NMFS Trawl Survey data was used to fit species distribution models and the resulting modeled predictions for presence/absence and abundance. We analyzed the influence of environmental characteristics on the spatial distribution of our eight focal species using data collected by the Northeast Fisheries Science Center (NEFSC) spring (March-May), and fall (September- November) bottom trawl surveys along the Northeast US Shelf (65-75\u00b0W longitude, and 35-45\u00b0N latitude) for the period 1968-2014. Sea surface temperature, sea bottom temperature, and depth were sampled concurrently with trawl samples. We used sediment grain size as a measure of substrate type using existing data layers from the Nature Conservancy. Surveys were trimmed to strata that were sampled in at least 43 of the 46 years. Data from the fall and spring surveys 1968-2014 were combined in order to fit species distribution models (SDMs) using a generalized additive model (GAM) fit separately for each species. Presence or absence of species x in haul location i in year y was modeled using a logistic model with a binomial error distribution and a logit link function. The probability of species occurrence in each haul was modeled as an additive function of the five environmental variables and regional species biomass: haul-specific observations of sea surface temperature, sea bottom temperature, depth, sediment grain size, and average region-wide biomass (kg/tow) of species x in year y in the season in which the haul was conducted. Penalized regression splines were fitted using the \u201cgam\u201d function in the mgcv package in R. In addition to examining changes in overall range size, we also predicted historical and projected biomass using a delta-lognormal GAM that combines the predictions of the presence/absence model with that for biomass when present. Range size and species overlap wer calculated using the R-file species_overlap_BCO.R available in the "Supplemental Documents" section on this page. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 559955 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1426891 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1426891 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Michael E. Sieracki |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50446 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Observed and modeled presence 1968-2014 PI: Malin Pinsky data version 1: 2019-03-05 |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2019-01-17T17:11:25Z |
attribute | NC_GLOBAL | date_modified | String | 2019-11-08T18:56:21Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.753142.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -65.75 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 44.5 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 35.25 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -65.75 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -75.75 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 485.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 13.0 |
attribute | NC_GLOBAL | geospatial_vertical_positive | String | down |
attribute | NC_GLOBAL | geospatial_vertical_units | String | m |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/753142 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, btemp, chemical, data, dataset, depth, dmo, erddap, grain, haulid, latitude, longitude, lwr, management, mean, mean_wtcpue, oceanography, office, preds, preds1, preds1_lwr, preds1_upr, preliminary, pres2, sed, sed_grain, spp, stemp, upr, wtcpue, year |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/753142/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/753142 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 44.5 |
attribute | NC_GLOBAL | param_mapping | String | {'753142': {'depth': 'flag - depth', 'lat_25': 'flag - latitude', 'lon_25': 'flag - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/753142/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Rutgers University |
attribute | NC_GLOBAL | people_0_person_name | String | Malin Pinsky |
attribute | NC_GLOBAL | people_0_person_nid | String | 554708 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | Rutgers University |
attribute | NC_GLOBAL | people_1_person_name | String | Rebecca Selden |
attribute | NC_GLOBAL | people_1_person_nid | String | 753186 |
attribute | NC_GLOBAL | people_1_role | String | Contact |
attribute | NC_GLOBAL | people_1_role_type | String | related |
attribute | NC_GLOBAL | people_2_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_2_person_name | String | Amber York |
attribute | NC_GLOBAL | people_2_person_nid | String | 643627 |
attribute | NC_GLOBAL | people_2_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | project | String | CC Fishery Adaptations |
attribute | NC_GLOBAL | projects_0_acronym | String | CC Fishery Adaptations |
attribute | NC_GLOBAL | projects_0_description | String | Description from NSF award abstract: Climate change presents a profound challenge to the sustainability of coastal systems. Most research has overlooked the important coupling between human responses to climate effects and the cumulative impacts of these responses on ecosystems. Fisheries are a prime example of this feedback: climate changes cause shifts in species distributions and abundances, and fisheries adapt to these shifts. However, changes in the location and intensity of fishing also have major ecosystem impacts. This project's goal is to understand how climate and fishing interact to affect the long-term sustainability of marine populations and the ecosystem services they support. In addition, the project will explore how to design fisheries management and other institutions that are robust to climate-driven shifts in species distributions. The project focuses on fisheries for summer flounder and hake on the northeast U.S. continental shelf, which target some of the most rapidly shifting species in North America. By focusing on factors affecting the adaptation of fish, fisheries, fishing communities, and management institutions to the impacts of climate change, this project will have direct application to coastal sustainability. The project involves close collaboration with the National Oceanic and Atmospheric Administration, and researchers will conduct regular presentations for and maintain frequent dialogue with the Mid-Atlantic and New England Fisheries Management Councils in charge of the summer flounder and hake fisheries. To enhance undergraduate education, project participants will design a new online laboratory investigation to explore the impacts of climate change on fisheries, complete with visualization tools that allow students to explore inquiry-driven problems and that highlight the benefits of teaching with authentic data. This project is supported as part of the National Science Foundation's Coastal Science, Engineering, and Education for Sustainability program - Coastal SEES. The project will address three questions: 1) How do the interacting impacts of fishing and climate change affect the persistence, abundance, and distribution of marine fishes? 2) How do fishers and fishing communities adapt to species range shifts and related changes in abundance? and 3) Which institutions create incentives that sustain or maximize the value of natural capital and comprehensive social wealth in the face of rapid climate change? An interdisciplinary team of scientists will use dynamic range and statistical models with four decades of geo-referenced data on fisheries catch and fish biogeography to determine how fish populations are affected by the cumulative impacts of fishing, climate, and changing species interactions. The group will then use comprehensive information on changes in fisher behavior to understand how fishers respond to changes in species distribution and abundance. Interviews will explore the social, regulatory, and economic factors that shape these strategies. Finally, a bioeconomic model for summer flounder and hake fisheries will examine how spatial distribution of regulatory authority, social feedbacks within human communities, and uncertainty affect society's ability to maintain natural and social capital. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2018-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Northeast US Continental Shelf Large Marine Ecosystem |
attribute | NC_GLOBAL | projects_0_name | String | Adaptations of fish and fishing communities to rapid climate change |
attribute | NC_GLOBAL | projects_0_project_nid | String | 559948 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2014-09 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | Southernmost_Northing | double | 35.25 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | NMFS Trawl Survey data used to fit species distribution models and the resulting modeled predictions for presence/absence and abundance. |
attribute | NC_GLOBAL | title | String | [Observed and modeled presence 1968-2014] - Trawl survey data and species distribution model predictions for presence, absence and abundance (Adaptations of fish and fishing communities to rapid climate change) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -75.75 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | spp | String | ||
attribute | spp | bcodmo_name | String | species |
attribute | spp | description | String | species scientific name |
attribute | spp | long_name | String | SPP |
attribute | spp | units | String | unitless |
variable | haulid | String | ||
attribute | haulid | bcodmo_name | String | haul identification |
attribute | haulid | description | String | trawl haulid created from CRUISE6 (196803), STATION with max of 3 digits (8), and STRATUM (1010) from NEFSC survey data |
attribute | haulid | long_name | String | Haulid |
attribute | haulid | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 35.25, 44.5 |
attribute | latitude | axis | String | Y |
attribute | latitude | bcodmo_name | String | latitude |
attribute | latitude | colorBarMaximum | double | 90.0 |
attribute | latitude | colorBarMinimum | double | -90.0 |
attribute | latitude | description | String | latitude |
attribute | latitude | ioos_category | String | Location |
attribute | latitude | long_name | String | Latitude |
attribute | latitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LATX/ |
attribute | latitude | source_name | String | lat_25 |
attribute | latitude | standard_name | String | latitude |
attribute | latitude | units | String | degrees_north |
variable | longitude | double | ||
attribute | longitude | _CoordinateAxisType | String | Lon |
attribute | longitude | _FillValue | double | NaN |
attribute | longitude | actual_range | double | -75.75, -65.75 |
attribute | longitude | axis | String | X |
attribute | longitude | bcodmo_name | String | longitude |
attribute | longitude | colorBarMaximum | double | 180.0 |
attribute | longitude | colorBarMinimum | double | -180.0 |
attribute | longitude | description | String | longitude |
attribute | longitude | ioos_category | String | Location |
attribute | longitude | long_name | String | Longitude |
attribute | longitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LONX/ |
attribute | longitude | source_name | String | lon_25 |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | btemp | float | ||
attribute | btemp | _FillValue | float | NaN |
attribute | btemp | actual_range | float | 0.0, 20.7 |
attribute | btemp | bcodmo_name | String | temperature |
attribute | btemp | description | String | in situ bottom temperature from trawl |
attribute | btemp | long_name | String | Btemp |
attribute | btemp | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | btemp | units | String | degrees Celsius |
variable | stemp | float | ||
attribute | stemp | _FillValue | float | NaN |
attribute | stemp | actual_range | float | 0.0, 20.7 |
attribute | stemp | bcodmo_name | String | temperature |
attribute | stemp | description | String | in situ surface temperature from trawl |
attribute | stemp | long_name | String | Stemp |
attribute | stemp | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | stemp | units | String | degrees Celsius |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 13.0, 485.0 |
attribute | depth | axis | String | Z |
attribute | depth | bcodmo_name | String | depth |
attribute | depth | colorBarMaximum | double | 8000.0 |
attribute | depth | colorBarMinimum | double | -8000.0 |
attribute | depth | colorBarPalette | String | TopographyDepth |
attribute | depth | description | String | trawl depth |
attribute | depth | ioos_category | String | Location |
attribute | depth | long_name | String | Depth |
attribute | depth | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ |
attribute | depth | positive | String | down |
attribute | depth | standard_name | String | depth |
attribute | depth | units | String | m |
variable | sed_grain | float | ||
attribute | sed_grain | _FillValue | float | NaN |
attribute | sed_grain | actual_range | float | 0.0, 255.0 |
attribute | sed_grain | bcodmo_name | String | sediment grain size |
attribute | sed_grain | description | String | relative sediment grain size, a proxy for habitat type |
attribute | sed_grain | long_name | String | Sed Grain |
attribute | sed_grain | units | String | unitless |
variable | mean_wtcpue | float | ||
attribute | mean_wtcpue | _FillValue | float | NaN |
attribute | mean_wtcpue | actual_range | float | 0.0, 153.459 |
attribute | mean_wtcpue | bcodmo_name | String | biomass |
attribute | mean_wtcpue | description | String | annual mean biomass (kg) per tow for the species for all hauls in region |
attribute | mean_wtcpue | long_name | String | Mean Wtcpue |
attribute | mean_wtcpue | units | String | kilograms per tow (kg/tow) |
variable | wtcpue | double | ||
attribute | wtcpue | _FillValue | double | NaN |
attribute | wtcpue | actual_range | double | 0.0, 14519.493 |
attribute | wtcpue | bcodmo_name | String | biomass |
attribute | wtcpue | description | String | biomass per tow in given haul |
attribute | wtcpue | long_name | String | Wtcpue |
attribute | wtcpue | units | String | kilograms per tow (kg/tow) |
variable | preds1 | float | ||
attribute | preds1 | _FillValue | float | NaN |
attribute | preds1 | actual_range | float | 0.0, 0.989 |
attribute | preds1 | bcodmo_name | String | unknown |
attribute | preds1 | description | String | predicted probability of occurrence (0-1) |
attribute | preds1 | long_name | String | Preds1 |
attribute | preds1 | units | String | dimensionless |
variable | preds1_upr | float | ||
attribute | preds1_upr | _FillValue | float | NaN |
attribute | preds1_upr | actual_range | float | 0.0, 0.993 |
attribute | preds1_upr | bcodmo_name | String | unknown |
attribute | preds1_upr | description | String | upper bound of predicted probability of occurrence (fit + 2SE) |
attribute | preds1_upr | long_name | String | Preds1 Upr |
attribute | preds1_upr | units | String | dimensionless |
variable | preds1_lwr | float | ||
attribute | preds1_lwr | _FillValue | float | NaN |
attribute | preds1_lwr | actual_range | float | 0.0, 0.983 |
attribute | preds1_lwr | bcodmo_name | String | unknown |
attribute | preds1_lwr | description | String | lower bound of predicted probability of occurrence (fit - 2SE) |
attribute | preds1_lwr | long_name | String | Preds1 Lwr |
attribute | preds1_lwr | units | String | dimensionless |
variable | preds | float | ||
attribute | preds | _FillValue | float | NaN |
attribute | preds | actual_range | float | 0.0, 757.69 |
attribute | preds | bcodmo_name | String | biomass |
attribute | preds | description | String | predicted biomass |
attribute | preds | long_name | String | Preds |
attribute | preds | units | String | kilograms (kg) |
variable | year | short | ||
attribute | year | _FillValue | short | 32767 |
attribute | year | actual_range | short | 1968, 2014 |
attribute | year | bcodmo_name | String | year |
attribute | year | description | String | year in format yyyy |
attribute | year | long_name | String | Year |
attribute | year | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/ |
attribute | year | units | String | unitless |
variable | pres2 | String | ||
attribute | pres2 | bcodmo_name | String | unknown |
attribute | pres2 | description | String | observed presence (TRUE) or absence (FALSE) |
attribute | pres2 | long_name | String | Pres2 |
attribute | pres2 | units | String | unitless |
The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.