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OAS accession Detail for 0291400
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| accessions_id: | 0291400 | archive |
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| Title: | 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 on 2017-02-01 (NCEI Accession 0291400) |
| Abstract: | This dataset contains biological data collected on 2017-02-01. These data include biomass. These data were collected by Marisol Garcia Reyes and William Sydeman of Farallon Institute for Advanced Ecosystem Research, Steven Bograd of National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center, and Bryan Black of University of Texas at Austin as part of the "Climate Change and Upwelling -- Comparative Analysis of Current and Future Responses of the California and Benguela Ecosystems (CalBenJI)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2019-08-06. The following is the text of the dataset description provided by BCO-DMO: Path analysis for direct/indirect effects of upwelling on seabirds Dataset Description: These data include total anchovy and sardine biomass west and southeast of Cape Agulhas (sampled in November), and anchovy and sardine recruitment west of Cape Infanta (sampled in May). Seabird variables included % of the diet comprised of anchovy, % of the diet comprised of sardine, breeding success, and survival. Benguela Current African Penguin - These data were collected at two seabird colonies: Dassen Island (-33.4205 lat, 18.0872 lon) and Robben Island (-33.8067, 18.371 long), South Africa. Benguela Current Cape Gannett - These data were collected at two seabird colonies: Lamberts Bay (-32.0896 lat, 18.3026 lon) and Malgas Island (-33.0526, 17.9254 long), South Africa. |
| Date received: | 20190806 |
| Start date: | 20170201 |
| End date: | 20170201 |
| Seanames: | |
| West boundary: | 17.9254 |
| East boundary: | 18.371 |
| North boundary: | -32.0896 |
| South boundary: | -33.8067 |
| Observation types: | biological |
| Instrument types: | |
| Datatypes: | SPONGE SPECIES IDENTIFICATION |
| Submitter: | |
| Submitting institution: | Biological and Chemical Oceanography Data Management Office |
| Collecting institutions: | University of Texas at Austin, US DOC; NOAA; NMFS; Southwest Fisheries Science Center |
| Contributing projects: | |
| Platforms: | |
| Number of observations: | |
| Supplementary information: | Acquisition Description: These data include total anchovy and sardine biomass west and southeast of Cape Agulhas (sampled in November), and anchovy and sardine recruitment west of Cape Infanta (sampled in May). Seabird variables included % of the diet comprised of anchovy, % of the diet comprised of sardine, breeding success, and survival. African penguin data were collected at Dassen and Robben Islands, South Africa. Cape gannets data were collected at colonies on Malgas Island and in Lamberts Bay, South Africa. These variables were entered into path analyses, run in Stata v. 11.1 (StataCorp). Path models were designed a priori with upwelling as the base predictor variable, fish biomass (both species) and anchovy recruitment as intermediate predictors, and a seabird metric as the response variable. Path analysis produces beta coefficients for each path segment of the model. To determine the dominant path of effect, the beta coefficients for each indirect path were multiplied together, then summed. This sum of the products of all of the indirect paths was compared to the beta coefficient of the direct path of effect. The greater value indicated if the dominant path was direct or indirect. If indirect, the path with the largest beta coefficient product was considered the dominant path of the model. Note that fish biomass, and anchovy recruitment data were ln-transformed prior to analysis. Anchovy and sardine biomass were lagged one year for analyses of penguin responses, to precede the penguin breeding season when those measurements were collected. |
| Availability date: | |
| Metadata version: | 1 |
| Keydate: | 2024-04-20 16:03:09+00 |
| Editdate: | 2024-04-20 16:03:36+00 |