The application of satellite remote sensing for assessing productivity in relation to fisheries yields of the world's large marine ecosystems

• Published in: ICES Journal of Marine Science
• Main Authors: Sherman, Kenneth, O'Reilly, John, Belkin, Igor M., Melrose, Christopher, Friedland, Kevin D.
• Format: Text
• Language: English
• Published: Oxford University Press 2011
• Subjects: Remote Sensing and Fisheries; Northeast Atlantic
• Online Access: http://icesjms.oxfordjournals.org/cgi/content/short/fsq177v1; https://doi.org/10.1093/icesjms/fsq177

<qd> Sherman, K., O'Reilly, J., Belkin, I. M., Melrose, C., and Friedland, K. D. The application of satellite remote sensing for assessing productivity in relation to fisheries yields of the world's large marine ecosystems. – ICES Journal of Marine Science, doi:10.1093/icesjms/fsq177. </qd>In 1992, world leaders at the historical UN Conference on Environment and Development (UNCED) recognized that the exploitation of resources in coastal oceans was becoming increasingly unsustainable, resulting in an international effort to assess, recover, and manage goods and services of large marine ecosystems (LMEs). More than $3 billion in support to 110 economically developing nations have been dedicated to operationalizing a five-module approach supporting LME assessment and management practices. An important component of this effort focuses on the effects of climate change on fisheries biomass yields of LMEs, using satellite remote sensing and in situ sampling of key indicators of changing ecological conditions. Warming appears to be reducing primary productivity in the lower latitudes, where stratification of the water column has intensified. Fishery biomass yields in the Subpolar LMEs of the Northeast Atlantic are also increasing as zooplankton levels increase with warming. During the current period of climate warming, it is especially important for space agency programmes in Asia, Europe, and the United States to continue to provide satellite-borne radiometry data to the global networks of LME assessment scientists.