BCO-DMO ERDDAP
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Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | These data include total anchovy and sardine biomass west and southeast of\nCape Agulhas (sampled in November), and anchovy and sardine recruitment west\nof Cape Infanta (sampled in May). Seabird variables included % of the diet\ncomprised of anchovy, % of the diet comprised of sardine, breeding success,\nand survival. African penguin data were collected at Dassen and Robben\nIslands, South Africa. Cape gannets data were collected at colonies on Malgas\nIsland and in Lamberts Bay, South Africa.\n \nThese variables were entered into path analyses, run in Stata v. 11.1\n(StataCorp). Path models were designed a priori with upwelling as the base\npredictor variable, fish biomass (both species) and anchovy recruitment as\nintermediate predictors, and a seabird metric as the response variable. Path\nanalysis produces beta coefficients for each path segment of the model. To\ndetermine the dominant path of effect, the beta coefficients for each indirect\npath were multiplied together, then summed. This sum of the products of all of\nthe indirect paths was compared to the beta coefficient of the direct path of\neffect. The greater value indicated if the dominant path was direct or\nindirect. If indirect, the path with the largest beta coefficient product was\nconsidered the dominant path of the model. Note that fish biomass, and anchovy\nrecruitment data were ln-transformed prior to analysis. Anchovy and sardine\nbiomass were lagged one year for analyses of penguin responses, to precede the\npenguin breeding season when those measurements were collected. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 564664 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1434732 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1434732 |
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 | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Benguela Current Ecosystem Path Analysis \n PI: Bryan Black (Marine Science Institute, UT Austin) \n Co-PIs: William Sydeman & Marisol Garcia Reyes (Farallon Institute), Steven Bograd (NOAA SWFSC) \n Version: 01 Feb 2017 |
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 | 2017-02-01T20:53:45Z |
attribute | NC_GLOBAL | date_modified | String | 2019-08-05T16:35:33Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.679946.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/679946 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | keywords | String | anc, anc_recruitment, anc_tot_biomass, ap_di_anc_pcnt_diet, ap_di_bs, ap_di_sar_pcnt_diet, ap_di_surv, ap_ri_anc_pcnt_diet, ap_ri_bs, ap_ri_sar_pcnt_diet, ap_ri_surv, aperture, bco, bco-dmo, biological, biomass, cg_lb_anc_pcnt_diet, cg_lb_bs, cg_lb_sar_pcnt_diet, cg_lb_surv, cg_mi_anc_pcnt_diet, cg_mi_bs, cg_mi_sar_pcnt_diet, cg_mi_surv, chemical, data, dataset, diet, dmo, erddap, management, oceanography, office, pcnt, preliminary, radar, recruitment, sar, sar_tot_biomass, sardine, sardine_recruitment, surv, synthetic, tot, year |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/679946/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/679946 |
attribute | NC_GLOBAL | param_mapping | String | {'679946': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/679946/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of Texas at Austin |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UT Austin |
attribute | NC_GLOBAL | people_0_person_name | String | Bryan Black |
attribute | NC_GLOBAL | people_0_person_nid | String | 51409 |
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 | National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | NOAA SWFSC ERD |
attribute | NC_GLOBAL | people_1_person_name | String | Steven Bograd |
attribute | NC_GLOBAL | people_1_person_nid | String | 51411 |
attribute | NC_GLOBAL | people_1_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_1_role_type | String | originator |
attribute | NC_GLOBAL | people_2_affiliation | String | Farallon Institute for Advanced Ecosystem Research |
attribute | NC_GLOBAL | people_2_person_name | String | Marisol Garcia Reyes |
attribute | NC_GLOBAL | people_2_person_nid | String | 674985 |
attribute | NC_GLOBAL | people_2_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_2_role_type | String | originator |
attribute | NC_GLOBAL | people_3_affiliation | String | Farallon Institute for Advanced Ecosystem Research |
attribute | NC_GLOBAL | people_3_person_name | String | William Sydeman |
attribute | NC_GLOBAL | people_3_person_nid | String | 51410 |
attribute | NC_GLOBAL | people_3_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_3_role_type | String | originator |
attribute | NC_GLOBAL | people_4_affiliation | String | Farallon Institute for Advanced Ecosystem Research |
attribute | NC_GLOBAL | people_4_person_name | String | William Sydeman |
attribute | NC_GLOBAL | people_4_person_nid | String | 51410 |
attribute | NC_GLOBAL | people_4_role | String | Contact |
attribute | NC_GLOBAL | people_4_role_type | String | related |
attribute | NC_GLOBAL | people_5_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_5_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_5_person_name | String | Shannon Rauch |
attribute | NC_GLOBAL | people_5_person_nid | String | 51498 |
attribute | NC_GLOBAL | people_5_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_5_role_type | String | related |
attribute | NC_GLOBAL | project | String | CalBenJI |
attribute | NC_GLOBAL | projects_0_acronym | String | CalBenJI |
attribute | NC_GLOBAL | projects_0_description | String | Desciption from NSF award abstract:\nAlong the west coasts of North and South America, Africa, and Iberia, alongshore equatorward winds bring nutrient-rich waters to the sunlit surface of the ocean, stimulating phytoplankton blooms that support robust, rich and diverse ecosystems. This process is known as \"upwelling\". Because upwelling is driven by winds, and winds are related to atmospheric conditions, upwelling is highly vulnerable to the effects of climate change. However, the potential impacts of climate change on upwelling and biology remain largely uncertain. In earlier work in the California Current upwelling system, off the west coast of the United States, researchers found that upwelling occurs in distinct winter and summer \"modes\" that have different impacts on biology. In this project, oceanographic and atmospheric data from the Benguela Current system, off South Africa and Namibia, will be analyzed for similar seasonal patterns and relationships with the ecosystem. Comparisons between these two upwelling systems will allow researchers to investigate if previous findings of regional climate impacts on biology are applicable at a global scale and consider how these systems may change in the future. The project will facilitate collaboration between researchers from South Africa, Namibia, and the United States, integrating a team of young and senior scientists from the three countries and providing them with opportunities for broad-scale scientific synthesis early in their careers.\nThis project will be a comparative analyses of climate forcing and biological responses in the California Current (CCS) and Benguela Current systems (BCS), the two upwelling systems with the most similar time series of atmospheric and oceanographic conditions, seabird demography, and lower (chlorophyll) and mid (forage fish) trophic data. The project will determine whether changes in the ecosystems can be attributed to regional or global climate processes. Growth-increment chronologies from fish in the BCS (deep-water hake) will be developed as indicators of upper-trophic fish growth, and compared to rockfish growth chronologies developed in the CCS. Mid-trophic level fish abundance will be modeled as indices of prey availability for integration between climate and upper-trophic-level parameters. Oceanographic and atmospheric data will be analyzed from global observational and reanalysis data sets, as well as from earth system model projections of climate change. The project will address the following questions:\n1) are seasonal upwelling modes (winter and summer) discernible in the BCS as they are in the CCS?\n2) are upwelling modes forced by similar or contrasting atmospheric forcing mechanisms?\n3) is there evidence of coherence/covariance among mid-trophic fish, upper-trophic fish, and seabirds (and at which lags) within and between the CCS and BCS?\n4) will the positioning and amplitude of the atmospheric pressure systems that result in upwelling-favorable winds change coherently between ecosystems under various climate-change scenarios? and\n5) what are the fisheries and wildlife management implications for variability in the seasonality and spatial distribution of upwelling in a changing climate? |
attribute | NC_GLOBAL | projects_0_end_date | String | 2016-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | California Current Ecosystem and Benguela Current Ecosystem |
attribute | NC_GLOBAL | projects_0_name | String | Climate Change and Upwelling -- Comparative Analysis of Current and Future Responses of the California and Benguela Ecosystems |
attribute | NC_GLOBAL | projects_0_project_nid | String | 564665 |
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 | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Path analysis, run in Stata v. 11.1, for direct/indirect effects of upwelling on seabirds; data were collected at Dassen and Robben Islands, Malgas Island and in Lamberts Bay, South Africa. |
attribute | NC_GLOBAL | title | String | [Benguela Current Ecosystem path analysis] - Path analysis, run in Stata v. 11.1, for direct/indirect effects of upwelling on seabirds; data were collected at Dassen and Robben Islands, Malgas Island and in Lamberts Bay, South Africa (Climate Change and Upwelling -- Comparative Analysis of Current and Future Responses of the California and Benguela Ecosystems) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | year | short | ||
attribute | year | _FillValue | short | 32767 |
attribute | year | actual_range | short | 1978, 2015 |
attribute | year | bcodmo_name | String | year |
attribute | year | description | String | 4-digit year of sampling |
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 | anc_tot_biomass | double | ||
attribute | anc_tot_biomass | _FillValue | double | NaN |
attribute | anc_tot_biomass | actual_range | double | 162048.4866, 6720286.963 |
attribute | anc_tot_biomass | bcodmo_name | String | biomass |
attribute | anc_tot_biomass | description | String | Total anchovy biomass for the southwestern Benguela Current Ecosystem along the west coast of South Africa southeast through Cape Agulhas. Sampling season: November. |
attribute | anc_tot_biomass | long_name | String | Anc Tot Biomass |
attribute | anc_tot_biomass | units | String | tons |
variable | sar_tot_biomass | float | ||
attribute | sar_tot_biomass | _FillValue | float | NaN |
attribute | sar_tot_biomass | actual_range | float | 0.045, 4.206 |
attribute | sar_tot_biomass | bcodmo_name | String | biomass |
attribute | sar_tot_biomass | description | String | Total sardine biomass for the southwestern Benguela Current Ecosystem along the west coast of South Africa southeast through Cape Agulhas. Sampling season: November. |
attribute | sar_tot_biomass | long_name | String | Sar Tot Biomass |
attribute | sar_tot_biomass | units | String | millions of tons |
variable | anc_recruitment | float | ||
attribute | anc_recruitment | _FillValue | float | NaN |
attribute | anc_recruitment | actual_range | float | 25.771, 627.2 |
attribute | anc_recruitment | bcodmo_name | String | unknown |
attribute | anc_recruitment | description | String | Total anchovy recruitment for the southwestern Benguela Current Ecosystem along the west coast of South Africa southeast through Cape Infanta. Sampling season: May. |
attribute | anc_recruitment | long_name | String | Anc Recruitment |
attribute | anc_recruitment | units | String | billions of fish |
variable | sardine_recruitment | float | ||
attribute | sardine_recruitment | _FillValue | float | NaN |
attribute | sardine_recruitment | actual_range | float | 0.439, 60.065 |
attribute | sardine_recruitment | bcodmo_name | String | unknown |
attribute | sardine_recruitment | description | String | Total sardine recruitment for the southwestern Benguela Current Ecosystem along the west coast of South Africa southeast through Cape Infanta. Sampling season: May. |
attribute | sardine_recruitment | long_name | String | Sardine Recruitment |
attribute | sardine_recruitment | units | String | billions of fish |
variable | ap_di_anc_pcnt_diet | float | ||
attribute | ap_di_anc_pcnt_diet | _FillValue | float | NaN |
attribute | ap_di_anc_pcnt_diet | actual_range | float | 24.9, 98.8 |
attribute | ap_di_anc_pcnt_diet | bcodmo_name | String | mass |
attribute | ap_di_anc_pcnt_diet | description | String | Percent of the Dassen Island African penguin diet mass that was anchovy |
attribute | ap_di_anc_pcnt_diet | long_name | String | Ap Di Anc Pcnt Diet |
attribute | ap_di_anc_pcnt_diet | units | String | percent (%) |
variable | ap_di_sar_pcnt_diet | float | ||
attribute | ap_di_sar_pcnt_diet | _FillValue | float | NaN |
attribute | ap_di_sar_pcnt_diet | actual_range | float | 0.0, 32.2 |
attribute | ap_di_sar_pcnt_diet | bcodmo_name | String | mass |
attribute | ap_di_sar_pcnt_diet | description | String | Percent of the Dassen Island African penguin diet mass that was sardine |
attribute | ap_di_sar_pcnt_diet | long_name | String | Ap Di Sar Pcnt Diet |
attribute | ap_di_sar_pcnt_diet | units | String | percent (%) |
variable | ap_di_bs | float | ||
attribute | ap_di_bs | _FillValue | float | NaN |
attribute | ap_di_bs | actual_range | float | 0.651, 1.376 |
attribute | ap_di_bs | bcodmo_name | String | unknown |
attribute | ap_di_bs | description | String | Dassen Island African penguin breeding success |
attribute | ap_di_bs | long_name | String | Ap Di Bs |
attribute | ap_di_bs | units | String | number of chicks fledged/pair |
variable | ap_di_surv | float | ||
attribute | ap_di_surv | _FillValue | float | NaN |
attribute | ap_di_surv | actual_range | float | 0.43, 0.824 |
attribute | ap_di_surv | bcodmo_name | String | unknown |
attribute | ap_di_surv | description | String | Dassen Island African penguin adult survival (fraction surviving) |
attribute | ap_di_surv | long_name | String | Ap Di Surv |
attribute | ap_di_surv | units | String | unitless (fraction) |
variable | ap_ri_anc_pcnt_diet | float | ||
attribute | ap_ri_anc_pcnt_diet | _FillValue | float | NaN |
attribute | ap_ri_anc_pcnt_diet | actual_range | float | 33.1, 98.3 |
attribute | ap_ri_anc_pcnt_diet | bcodmo_name | String | mass |
attribute | ap_ri_anc_pcnt_diet | description | String | Percent of the Robben Island African penguin diet mass that was anchovy |
attribute | ap_ri_anc_pcnt_diet | long_name | String | Ap Ri Anc Pcnt Diet |
attribute | ap_ri_anc_pcnt_diet | units | String | percent (%) |
variable | ap_ri_sar_pcnt_diet | float | ||
attribute | ap_ri_sar_pcnt_diet | _FillValue | float | NaN |
attribute | ap_ri_sar_pcnt_diet | actual_range | float | 0.0, 12.1 |
attribute | ap_ri_sar_pcnt_diet | bcodmo_name | String | mass |
attribute | ap_ri_sar_pcnt_diet | description | String | Percent of the Robben Island African penguin diet mass that was sardine |
attribute | ap_ri_sar_pcnt_diet | long_name | String | Ap Ri Sar Pcnt Diet |
attribute | ap_ri_sar_pcnt_diet | units | String | percent (%) |
variable | ap_ri_bs | float | ||
attribute | ap_ri_bs | _FillValue | float | NaN |
attribute | ap_ri_bs | actual_range | float | 0.319, 0.968 |
attribute | ap_ri_bs | bcodmo_name | String | unknown |
attribute | ap_ri_bs | description | String | Robben Island African penguin breeding success |
attribute | ap_ri_bs | long_name | String | Ap Ri Bs |
attribute | ap_ri_bs | units | String | number of chicks fledged/pair |
variable | ap_ri_surv | float | ||
attribute | ap_ri_surv | _FillValue | float | NaN |
attribute | ap_ri_surv | actual_range | float | 0.464, 0.998 |
attribute | ap_ri_surv | bcodmo_name | String | unknown |
attribute | ap_ri_surv | description | String | Robben Island African penguin adult survival (fraction surviving) |
attribute | ap_ri_surv | long_name | String | Ap Ri Surv |
attribute | ap_ri_surv | units | String | unitless (fraction) |
variable | cg_lb_anc_pcnt_diet | float | ||
attribute | cg_lb_anc_pcnt_diet | _FillValue | float | NaN |
attribute | cg_lb_anc_pcnt_diet | actual_range | float | 1.5, 83.1 |
attribute | cg_lb_anc_pcnt_diet | bcodmo_name | String | mass |
attribute | cg_lb_anc_pcnt_diet | description | String | Percent of the Lamberts Bay Cape gannett diet mass that was anchovy |
attribute | cg_lb_anc_pcnt_diet | long_name | String | Cg Lb Anc Pcnt Diet |
attribute | cg_lb_anc_pcnt_diet | units | String | percent (%) |
variable | cg_lb_sar_pcnt_diet | float | ||
attribute | cg_lb_sar_pcnt_diet | _FillValue | float | NaN |
attribute | cg_lb_sar_pcnt_diet | actual_range | float | 2.5, 66.5 |
attribute | cg_lb_sar_pcnt_diet | bcodmo_name | String | mass |
attribute | cg_lb_sar_pcnt_diet | description | String | Percent of the Lamberts Bay Cape gannett diet mass that was sardine |
attribute | cg_lb_sar_pcnt_diet | long_name | String | Cg Lb Sar Pcnt Diet |
attribute | cg_lb_sar_pcnt_diet | units | String | percent (%) |
variable | cg_lb_bs | float | ||
attribute | cg_lb_bs | _FillValue | float | NaN |
attribute | cg_lb_bs | actual_range | float | 0.0, 0.982 |
attribute | cg_lb_bs | bcodmo_name | String | unknown |
attribute | cg_lb_bs | description | String | Lamberts Bay Cape gannett breeding success |
attribute | cg_lb_bs | long_name | String | CG LB BS |
attribute | cg_lb_bs | units | String | number of chicks fledged/pair |
variable | cg_lb_surv | float | ||
attribute | cg_lb_surv | _FillValue | float | NaN |
attribute | cg_lb_surv | actual_range | float | 0.768, 0.901 |
attribute | cg_lb_surv | bcodmo_name | String | unknown |
attribute | cg_lb_surv | description | String | Lamberts Bay Cape gannett adult survival (fraction surviving) |
attribute | cg_lb_surv | long_name | String | Cg Lb Surv |
attribute | cg_lb_surv | units | String | unitless (fraction) |
variable | cg_mi_anc_pcnt_diet | float | ||
attribute | cg_mi_anc_pcnt_diet | _FillValue | float | NaN |
attribute | cg_mi_anc_pcnt_diet | actual_range | float | 0.8, 46.5 |
attribute | cg_mi_anc_pcnt_diet | bcodmo_name | String | mass |
attribute | cg_mi_anc_pcnt_diet | description | String | Percent of the Malgas Island Cape gannett diet mass that was anchovy |
attribute | cg_mi_anc_pcnt_diet | long_name | String | Cg Mi Anc Pcnt Diet |
attribute | cg_mi_anc_pcnt_diet | units | String | percent (%) |
variable | cg_mi_sar_pcnt_diet | float | ||
attribute | cg_mi_sar_pcnt_diet | _FillValue | float | NaN |
attribute | cg_mi_sar_pcnt_diet | actual_range | float | 1.0, 64.1 |
attribute | cg_mi_sar_pcnt_diet | bcodmo_name | String | mass |
attribute | cg_mi_sar_pcnt_diet | description | String | Percent of the Malgas Island Cape gannett diet mass that was sardine |
attribute | cg_mi_sar_pcnt_diet | long_name | String | Cg Mi Sar Pcnt Diet |
attribute | cg_mi_sar_pcnt_diet | units | String | percent (%) |
variable | cg_mi_bs | float | ||
attribute | cg_mi_bs | _FillValue | float | NaN |
attribute | cg_mi_bs | actual_range | float | 0.0, 0.819 |
attribute | cg_mi_bs | bcodmo_name | String | unknown |
attribute | cg_mi_bs | description | String | Malgas Island Cape gannett breeding success |
attribute | cg_mi_bs | long_name | String | Cg Mi Bs |
attribute | cg_mi_bs | units | String | number of chicks fledged/pair |
variable | cg_mi_surv | float | ||
attribute | cg_mi_surv | _FillValue | float | NaN |
attribute | cg_mi_surv | actual_range | float | 0.761, 0.947 |
attribute | cg_mi_surv | bcodmo_name | String | unknown |
attribute | cg_mi_surv | description | String | Malgas Island Cape gannett adult survival (fraction surviving) |
attribute | cg_mi_surv | long_name | String | Cg Mi Surv |
attribute | cg_mi_surv | units | String | unitless (fraction) |