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Incorporating environmental data in abundance-based algorithms for deriving phytoplankton size classes in the Atlantic Ocean

2020-04-01

Abstract excerpt

Environmental conditions are important drivers in regulating the distribution pattern of phytoplankton composition in the world's oceans. We constructed models that predict pico-, nano- and micro-phytoplankton size classes and assessed the impact of separately including sea surface temperature (SST) and estimates of light level in the surface mixed-layer on model skill. The empirical models were trained using size...

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Literature Corpus work
ab27b9cb-296c-548d-80e3-eaa968b14d24
DOI
10.1016/j.rse.2020.111689
Open publication

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Incorporating environmental data in abundance-based algorithms for deriving phytoplankton size classes in the Atlantic OceanDOI 10.1016/j.rse.2020.111689
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