Spatiotemporal analysis of plankton drivers in the Belgian part of the North Sea. Data, scripts and model output

This archive contains the input data, R scripts and final results of a mechanistic model that uses near real-time data from the Belgian Part of the North Sea (2011-2017) to quantify the relative contributions of the bottom-up and top-down drivers in phytoplankton dynamics. Input data are zooplankton and phytoplankton abundances, nutrients, Sea Surface Temperature (SST), photosynthetically active radiation (PAR); from the LifeWatch data and infrastructure, funded by Research Foundation - Flanders (FWO). Water temperature data for one of the locations was obtained from Flemish Banks Monitoring N... Mehr ...

Verfasser: Pint Steven
Viviana Otero
Dokumenttyp: other
Erscheinungsdatum: 2022
Verlag/Hrsg.: Zenodo
Schlagwörter: NPZ model / ecosystem model / phytoplankton / zooplankton / primary production
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28883570
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.5281/zenodo.5575442

This archive contains the input data, R scripts and final results of a mechanistic model that uses near real-time data from the Belgian Part of the North Sea (2011-2017) to quantify the relative contributions of the bottom-up and top-down drivers in phytoplankton dynamics. Input data are zooplankton and phytoplankton abundances, nutrients, Sea Surface Temperature (SST), photosynthetically active radiation (PAR); from the LifeWatch data and infrastructure, funded by Research Foundation - Flanders (FWO). Water temperature data for one of the locations was obtained from Flemish Banks Monitoring Network at https://meetnetvlaamsebanken.be/. The R scripts are presented in a R Markdown file that can be executed in the Blue-Cloud Zoo and Phytoplankton EOV products Vlab at https://blue-cloud.d4science.org/web/zoo-phytoplankton_eov, operated by D4Science.org, www.d4science.org (Assante et al., 2019).