1 Ferskvandsbiologi, Department of Biology, Faculty of Science, Københavns Universitet2 Freshwater Biology, Department of Biology, Faculty of Science, Københavns Universitet3 unknown4 Freshwater Biology, Department of Biology, Faculty of Science, Københavns Universitet
We evaluated models predicting the spectral chlorophyll-a (Chl a)-specific absorption coefficient (a*ph (¿)) from Chl a concentration [Chl a] on the basis of 465 phytoplankton absorption spectra collected in estuarine, coastal and oceanic waters. A power model on ln-transformed data provided the best model fit compared to a power model on non-transformed data previously applied to parameterize the relationship between a*ph (¿) and [Chl a]. The variation in a*ph (¿) was parameterized over four orders of magnitude in [Chl a] (0.01-100 mg Chl a m-3) producing a 13-fold range in a*ph (0.19 to 0.015 m2 mg-1 Chl a) at 440 nm, the peak absorption of Chl a in the blue part of the spectrum. The variations in the modelled a*ph spectra were within realistic predictions of a*ph (¿) and the model satisfactorily reproduced the spectral flattening with increasing [Chl a]. The parameterization of a*ph (¿) confirmed the indirect dependency of a*ph (¿) on [Chl a] through co-variations between [Chl a] with pigment packaging and pigment composition. Although pigment packaging determined the spectral flattening, analysis of absorption ratios revealed a systematic change in pigment composition with profound influence on the variability of a*ph in the 440 to 495 nm region. Modelled spectra deviated by approximately 20% from the measured spectra on average and model accuracy was independent of [Chl a]. Although the model cannot fully replace spectral measurements of phytoplankton absorption, it does permit realistic reconstructions of a*ph (¿) from simple measurements of [Chl a] sampled in estuarine, coastal and oceanic waters.
International Journal of Remote Sensing, 2004, Vol 25, Issue 22, p. 5117-5130