Machine learning identifies a strong association between warming and reduced primary productivity in an oligotrophic ocean gyre
| Autor: | Valerio Morfino, Michael W. Lomas, Luca Russo, Salvatore Rampone, Nadia Sanseverino, Luigi Maria Cusano, Domenico D'Alelio, James E. Cloern |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Biogeochemical cycle 010504 meteorology & atmospheric sciences lcsh:Medicine Machine learning computer.software_genre Photosynthesis 01 natural sciences Article Microbial ecology 03 medical and health sciences Nutrient Ocean gyre Phytoplankton 14. Life underwater lcsh:Science 0105 earth and related environmental sciences Marine biology geography Multidisciplinary geography.geographical_feature_category business.industry Global warming lcsh:R Primary production 15. Life on land Applied mathematics 030104 developmental biology Productivity (ecology) 13. Climate action Environmental science lcsh:Q Artificial intelligence business computer |
| Zdroj: | Scientific Reports Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020) |
| ISSN: | 2045-2322 |
| Popis: | Phytoplankton play key roles in the oceans by regulating global biogeochemical cycles and production in marine food webs. Global warming is thought to affect phytoplankton production both directly, by impacting their photosynthetic metabolism, and indirectly by modifying the physical environment in which they grow. In this respect, the Bermuda Atlantic Time-series Study (BATS) in the Sargasso Sea (North Atlantic gyre) provides a unique opportunity to explore effects of warming on phytoplankton production across the vast oligotrophic ocean regions because it is one of the few multidecadal records of measured net primary productivity (NPP). We analysed the time series of phytoplankton primary productivity at BATS site using machine learning techniques (ML) to show that increased water temperature over a 27-year period (1990–2016), and the consequent weakening of vertical mixing in the upper ocean, induced a negative feedback on phytoplankton productivity by reducing the availability of essential resources, nitrogen and light. The unbalanced availability of these resources with warming, coupled with ecological changes at the community level, is expected to intensify the oligotrophic state of open-ocean regions that are far from land-based nutrient sources. |
| Databáze: | OpenAIRE |
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