Global distribution of non-algal particles from ocean color data and implications for phytoplankton biomass detection
| Type | : | ACL |
|---|---|---|
| Nature | : | Production scientifique |
| Au bénéfice du Laboratoire | : | Oui |
| Statut de publication | : | Publié |
| Année de publication | : | 2018 |
| Auteurs (9) | : | BELLACICCO Marco VOLPE G BRIGGS Nathan BRANDO Vittorio,e PITARCH Jaime LANDOLFI A COLELLA Simone MARULLO S SANTOLERI Rosalia |
| Revue scientifique | : | Geophysical Research Letters |
| Volume | : | 0 |
| Fascicule | : | 0 |
| Pages | : | |
| DOI | : | 10.1029/2018GL078185 |
| URL | : | https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018gl078185 |
| Abstract | : | Abstract In the last few decades, phytoplankton biomass has been commonly studied from space. However, satellite analysis of non-algal particles (NAP), including heterotrophic bacteria and viruses, is relatively recent. In this work, we estimate the backscattering coefficient associated with the NAP fraction that does not covary with chlorophyll based on satellite particulate backscattering coefficient and chlorophyll (bbpNAP). bbpNAP is computed at 100 km resolution using 19 years of monthly satellite data. We find clear differences in bbpNAP between northern and southern oceans. High bbpNAP values are found in the Arctic and Southern Oceans, the North Atlantic area influenced by the Gulf Stream current, as well as shelf regions (i.e. Patagonian shelf) affected by upwelling regimes. Low correlation between chlorophyll and backscattering prevents precise bbpNAP estimations in oligotrophic areas (e.g. sub-tropical gyres). These bbpNAP estimations lead to a reduction to half in satellite-based phytoplankton biomass estimates respect to previously published results. |
| Mots-clés | : | non-algal particles, global ocean, ocean color, phytoplankton |
| Commentaire | : | - |
| Tags | : | - |
| Fichier attaché | : | - |
| Citation | : |
Bellacicco M, Volpe G, Briggs N, Brando VE, Pitarch J, Landolfi A, Colella S, Marullo S, Santoleri R (2018) Global distribution of non-algal particles from ocean color data and implications for phytoplankton biomass detection. Geophys Res Lett | doi: 10.1029/2018GL078185
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