On the Phytoplankton Bloom in Coastal Waters of Southern King George Island (Antarctica) in January 2010: An Exceptional Feature?

Abstract

Since the early 1990s phytoplankton has been studied and monitored in Potter Cove (PC) and Admiralty Bay (AB), King George/25 de Mayo Island, South Shetlands. Phytoplankton biomass is typically low compared to other Antarctic shelf environments, with average spring - summer values below 1 mg chlorophyll a m-3. The physical conditions in the area (reduced irradiance induced by particles originated from the land, intense winds) limit the coastal productivity at King George Island (KGI), as a result of shallow Sverdrup’s critical depths (Zc) and large turbulent mixing depths (Zt). In January 2010 a large phytoplankton bloom with a maximum of around 20, and monthly averages of 4 (PC) and 6 (AB) mg chlorophyll a m-3, was observed in the area, making it by far the largest recorded bloom over the last 20 years. Dominant phytoplankton species were the typical bloom-forming diatoms that are usually found in the western Antarctic Peninsula area. Anomalously cold air temperature and dominant winds from the eastern sector seem to explain adequate light:mixing environment. Local physical conditions were analyzed by means of the relation between Zc and Zt and conditions were found adequate for allowing phytoplankton development. However, a multi-year analysis indicates that these conditions may be necessary but not sufficient to guarantee phytoplankton accumulation. The relation between maximum chlorophyll a values and air temperature suggests that bottom-up control would render such large blooms even less frequent in KGI under the warmer climate expected in the area during the second half of the present century.

Publication
Limnology and Oceanography
Leonardo A. Saravia
Leonardo A. Saravia
Professor/Researcher

Investigador Independiente CADIC - CONICET, Docente/Investigador de la UNTDF, Doctor en Biología de la UBA. Complex systems. Networks. Global Forest Fragmentation. Open science. R, Julia, Netlogo, C++ & Python.