Posted on EPOCA: 26 Dec 2011 Ocean acidification and the future of native oysters in california estuaries Seminar by Eric Sanford, Bodega Marine Laboratory, UC Davis When: Friday, February 24, 2012. 12:00 PM. Approximate duration of 1 hour(s). Where: Hopkins Marine Station, Monterey Boatworks Lecture Hall, Pacific Grove (Map) Audience: Faculty/Staff, Students Contact: 831-655-6200, information@marine.stanford.edu
Month: December 2011
Ocean Acidification: Some Organisms Already Experiencing Ocean Acidification Levels Not Predicted to Be Reached Until 2100
Posted on ScienceDaily (Dec. 22, 2011) Ocean acidification research with SeapHOx sensor in the Line Islands. (Credit: Image courtesy of University of California – San Diego) A group of 19 scientists from five research organizations have conducted the broadest field study of ocean acidification to date using sensors developed at
Comprehensive Study Makes Key Findings of Ocean pH Variations
Posted on Scripps News, 19 December 2011 — Some organisms already experiencing ocean acidification levels not predicted to be reached until 2100 Scripps Institution of Oceanography / University of California, San Diego A group of 19 scientists from five research organizations have conducted the broadest field study of ocean acidification
Acid test points to coming fish troubles
Posted on EPOCA: 19 Dec 2011 Young fish can suffer severe damage from the ocean acidification expected within this century. The increasing acidification of ocean water may seriously jeopardize survival in young fish, two new studies find. Until now, studies of acidification’s effects on fish focused on adults — and
Funding opportunity: Regional ecosystem prediction program: Potential impacts of ocean acidification on fishery ecosystems
Posted on EPOCA: 16 Dec 2011 NOAA/NOS/NCCOS/CSCOR is accepting proposals which address the potential ecosystem impacts of ocean acidification to fishery ecosystems of US waters. Research should focus on the development of ecological models (linked to biogeochemical models if possible) which can be used to predict population and/or ecosystem level