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• W2012481738 abstract "Abstract Diatoms exist in almost every aquatic regime; they are responsible for ∼20% of global carbon fixation and ∼25% of global primary production, and are regarded as a key food for copepods, which are subsequently consumed by larger predators such as fish and marine mammals. A decreasing abundance and a vulnerability to climatic change in the North Atlantic Ocean have been reported in the literature. In the present work, a data matrix composed of concurrent satellite remote sensing and Continuous Plankton Recorder (CPR) in situ measurements was collated for the same spatial and temporal coverage in the Northeast Atlantic. Artificial neural networks (ANNs) were applied to recognize and learn the complex non-monotonic and non-linear relationships between diatom abundance and spatiotemporal environmental factors. Because of their ability to mimic non-linear systems, ANNs proved far more effective in modelling the diatom distribution in the marine ecosystem. The results of this study reveal that diatoms have a regular seasonal cycle, with their abundance most strongly influenced by sea surface temperature (SST) and light intensity. The models indicate that extreme positive SSTs decrease diatom abundances regardless of other climatic conditions. These results provide information on the ecology of diatoms that may advance our understanding of the potential response of diatoms to climatic change. Acknowledgements We thank present and past staff of SAHFOS who have contributed to the maintenance of the CPR time series. D. E. Raitsos is supported by a scholarship from the University of Plymouth. This study was also supported by the UK Natural Environment Research Council (NERC) through the Atlantic Meridional Transect consortium (NERC/O/S/2001/00680) and the Centre for Observation of Air–Sea Interactions and Fluxes (CASIX). This is contribution number 56 for CASIX." @default.
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• W2012481738 date "2011-03-29" @default.
• W2012481738 modified "2023-10-10" @default.
• W2012481738 title "Macroscale factors affecting diatom abundance: a synergistic use of Continuous Plankton Recorder and satellite remote sensing data" @default.
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• W2012481738 doi "https://doi.org/10.1080/01431161003645832" @default.
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