Phytoplankton growth rate modelling: can spectroscopic cell chemotyping be superior to physiological predictors?

ABSTRACT: Climate change has a strong impact on phytoplankton communities and water quality. However, the development of robust techniques to assess phytoplankton growth is still in progress. In this study, the growth rate of phytoplankton cells grown at different temperatures was modelled based on conventional physiological traits (e.g. chlorophyll, carbon and photosynthetic parameters) using the partial least square regression (PLSR) algorithm and compared with a new approach combining Fourier transform infrared-spectroscopy and PLSR. In this second model, it is assumed that the macromolecular composition of phytoplankton cells represents an intracellular marker for growth. The models have comparable high predictive power (R2 > 0.8) and low error in predicting new observations. Interestingly, not

SUBMITTER: Fanesi A 

PROVIDER: S-EPMC5310597 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature