Articles | Volume 18, issue 5
Biogeosciences, 18, 1719–1747, 2021
https://doi.org/10.5194/bg-18-1719-2021
Biogeosciences, 18, 1719–1747, 2021
https://doi.org/10.5194/bg-18-1719-2021

Research article 11 Mar 2021

Research article | 11 Mar 2021

Modeling silicate–nitrate–ammonium co-limitation of algal growth and the importance of bacterial remineralization based on an experimental Arctic coastal spring bloom culture study

Tobias R. Vonnahme et al.

Data sets

Replication data for: Modelling Silicate – Nitrate - Ammonium co-limitation of algal growth and the importance of bacterial remineralisation based on an experimental Arctic coastal spring bloom culture study T. R. Vonnahme, M. Leroy, S. Thoms, D. van Oevelen, R. Harvey, S. Kristiansen, U. Dietrich,R. R. Gradinger, and C. Völker https://doi.org/10.18710/VA4IU9

Dynamic-Algae-Bacteria-model T. R. Vonnahme https://github.com/tvonnahm/Dynamic-Algae-Bacteria-model

Model code for: Modelling Silicate – Nitrate - Ammonium co-limitation of algal growth and the importance of bacterial remineralisation based on an experimental Arctic coastal spring bloom culture study T. R. Vonnahme https://doi.org/10.5281/zenodo.4459550

Download
Short summary
Diatoms are crucial for Arctic coastal spring blooms, and their growth is controlled by nutrients and light. At the end of the bloom, inorganic nitrogen or silicon can be limiting, but nitrogen can be regenerated by bacteria, extending the algal growth phase. Modeling these multi-nutrient dynamics and the role of bacteria is challenging yet crucial for accurate modeling. We recreated spring bloom dynamics in a cultivation experiment and developed a representative dynamic model.
Altmetrics
Final-revised paper
Preprint