Optically-derived estimates of phytoplankton size class and taxonomic group biomass in the Eastern Subarctic Pacific Ocean
作者： Chen Zeng , Sarah Z Rosengard , William Burt , M Angelica Peña , Nina Nemcek
DOI: 10.1016/J.DSR.2018.04.001
关键词:
摘要: Abstract We evaluate several algorithms for the estimation of phytoplankton size class (PSC) and functional type (PFT) biomass from ship-based optical measurements in Subarctic Northeast Pacific Ocean. Using underway particulate absorption backscatter surface waters, we derived estimates PSC/PFT based on chlorophyll-a concentrations (Chl-a), spectra wavelength dependence backscatter. Optically-derived [Chl-a] were validated against discrete calibration samples, while using size-fractionated Chl-a HPLC analysis diagnostic photosynthetic pigments (DPA). Our results showflo that performed significantly better than slope approach. These two more successful yielded classes agreed well with HPLC-derived DPA (RMSE = 12.9%, 16.6%, respectively) across a range hydrographic productivity regimes. Moreover, algorithm produced PSC measurements, specific groups consistent values HPLC. Based these results, suggest simple should be fully exploited to improve classification assemblages
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