Desciption from NSF award abstract:
Along 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.
This 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:
1) are seasonal upwelling modes (winter and summer) discernible in the BCS as they are in the CCS?
2) are upwelling modes forced by similar or contrasting atmospheric forcing mechanisms?
3) 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?
4) 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
5) what are the fisheries and wildlife management implications for variability in the seasonality and spatial distribution of upwelling in a changing climate?
Dataset | Latest Version Date | Current State |
---|---|---|
Physical indicators of winter climate variability (coastal upwelling, sea level, precipitation) influenced by the winter North Pacific High (CalBenJI project) | 2017-03-28 | Final no updates expected |
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 | 2017-02-01 | Final no updates expected |
Monthly Regional Cumulative Upwelling Index (Ekman transport) for California and Benguela Ecosystems from 1979-2014 | 2017-01-17 | Final no updates expected |
Model projected winds, pressure, and temperature in upwelling systems derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5) | 2016-06-27 | Preliminary and in progress |
Principal Investigator: Bryan Black
University of Texas at Austin (UT Austin)
Principal Investigator: Dr Ryan Rykaczewski
University of South Carolina
Co-Principal Investigator: Steven Bograd
National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center (NOAA SWFSC ERD)
Co-Principal Investigator: William Sydeman
Farallon Institute for Advanced Ecosystem Research
Contact: Bryan Black
University of Texas at Austin (UT Austin)
Data Management Plan recieved by BCO-DMO on 18 Aug 2015. (70.89 KB)
08/18/2015