Comparative Productivity and Biomass Yields of the Yellow Sea, East China Sea, and the East Sea LMEs

DC Field Value Language
dc.contributor.author 유신재 -
dc.contributor.author 손영백 -
dc.date.accessioned 2020-07-16T03:33:34Z -
dc.date.available 2020-07-16T03:33:34Z -
dc.date.created 2020-02-11 -
dc.date.issued 2014-10-08 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/25971 -
dc.description.abstract Although ocean color satellite data have provided a new avenue to assess ocean primary productivity on a global basis, the accuracy of these estimates is not always warranted in coastal regions. Many coastal regions belong to Case 2 waters where constituents other than phytoplankton pigments can alter the optical properties. In these waters, chlorophyll-a concentrations are prone to be overestimated. The attenuation coefficient of PAR (photosynthetically active radiation), another important variable in calculating ocean primary productivity, is also a problematic variable to be derived from satellite data. Photosynthetic capacity and slope of light dependence are fundamental physiological parameters not directly measured or estimated from satellite but must be estimated using empirical relationship with other variables. All these sources of error result in a substantial error of primary production estimation in some coastal region, for which the Yellow Sea is a good example. Here we recalculated the primary productivity of the three adjacent seas (Yellow Sea, East China Sea, and East Sea) using regional chlorophyll-a algorithm and comparable primary production algorithm for the period 1998-2013.where constituents other than phytoplankton pigments can alter the optical properties. In these waters, chlorophyll-a concentrations are prone to be overestimated. The attenuation coefficient of PAR (photosynthetically active radiation), another important variable in calculating ocean primary productivity, is also a problematic variable to be derived from satellite data. Photosynthetic capacity and slope of light dependence are fundamental physiological parameters not directly measured or estimated from satellite but must be estimated using empirical relationship with other variables. All these sources of error result in a substantial error of primary production estimation in some coastal region, for which the Yellow Sea is a good example. Here we recalculated the primary productivity of the three adjacent seas (Yellow Sea, East China Sea, and East Sea) using regional chlorophyll-a algorithm and comparable primary production algorithm for the period 1998-2013. -
dc.description.uri 1 -
dc.language English -
dc.publisher NOAA -
dc.relation.isPartOf 3rd Global LME Conference -
dc.title Comparative Productivity and Biomass Yields of the Yellow Sea, East China Sea, and the East Sea LMEs -
dc.type Conference -
dc.citation.endPage 1 -
dc.citation.startPage 1 -
dc.citation.title 3rd Global LME Conference -
dc.contributor.alternativeName 유신재 -
dc.contributor.alternativeName 손영백 -
dc.identifier.bibliographicCitation 3rd Global LME Conference, pp.1 -
dc.description.journalClass 1 -
Appears in Collections:
Jeju Research Institute > Jeju Marine Research Center > 2. Conference Papers
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