By Rainer Froese
I thought the background story of our recent publication ‘New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method‘ may be of interest to young scientists.
By Rainer Froese
I thought the background story of our recent publication ‘New developments in the analysis of catch time series as the basis for fish stock assessments: The CMSY++ method‘ may be of interest to young scientists.
A recent update introduced to the CMSY methodology used to assess the status of fish stocks has proven to more accurately predict the catch that a population can support than highly-valued data-intensive models.
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In a recent piece published in the journal PLOS Biology, the Sea Around Us alumna and NYU professor Jennifer Jacquet, and our principal investigator, Daniel Pauly, ponder the idea of wild fish and invertebrates being considered more like wild animals and less like tradable commodities.
Sea Around Us data users interested in learning how to perform stock assessments using the CMSY methodology now have access to a suite of free video tutorials.