Object-Based Modeling of Marine Phytoplankton and Seaweeds
The aim of this work is to simulate the dissolved oxygen deficiency in the coastal zone that sometimes occurs during the summer water stagnation. We consider the main components of the marine ecosystem that play a major role in such processes—concentrations of nitrogen, phosphorus and sulfur compoun...
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Online Access: | https://www.mdpi.com/2077-1312/8/9/685 |
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doaj-28fa021adbde422faf6011a9eeba9b482021-04-02T10:54:45ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-09-01868568510.3390/jmse8090685Object-Based Modeling of Marine Phytoplankton and SeaweedsElena Vasechkina0Marine Hydrophysical Institute, Russian Academy of Sciences, 299011 Sevastopol, RussiaThe aim of this work is to simulate the dissolved oxygen deficiency in the coastal zone that sometimes occurs during the summer water stagnation. We consider the main components of the marine ecosystem that play a major role in such processes—concentrations of nitrogen, phosphorus and sulfur compounds in water, dissolved and particular organic matter, oxygen, biomass of phytoplankton and macroalgae. We use the object-based modeling technique to simulate the spatio-temporal variability of the ecosystem in a 2D domain. In comparison with the traditional approach, it gives several advantages: more precise parametrizations of the biological components’ functionality; higher spatial resolution; possibility to account for the individual variability of hydrobionts; easy inclusion of an arbitrary number of species in the model. Our model included three species of phytoplankton and seven macroalgae. Individual-based modules control their functionality. Species of phytoplankton and seaweeds chosen for simulations are typical for the coastal zone of Crimea. In the simulations, we study the contribution of micro- and macroalgae to the processes of self-purification of a semi-enclosed basin in case of a sharp increase in nutrient concentration in water.https://www.mdpi.com/2077-1312/8/9/685coastal ecosystemdissolved oxygenself-purificationmetabolic processesphytobenthosphytoplankton |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elena Vasechkina |
spellingShingle |
Elena Vasechkina Object-Based Modeling of Marine Phytoplankton and Seaweeds Journal of Marine Science and Engineering coastal ecosystem dissolved oxygen self-purification metabolic processes phytobenthos phytoplankton |
author_facet |
Elena Vasechkina |
author_sort |
Elena Vasechkina |
title |
Object-Based Modeling of Marine Phytoplankton and Seaweeds |
title_short |
Object-Based Modeling of Marine Phytoplankton and Seaweeds |
title_full |
Object-Based Modeling of Marine Phytoplankton and Seaweeds |
title_fullStr |
Object-Based Modeling of Marine Phytoplankton and Seaweeds |
title_full_unstemmed |
Object-Based Modeling of Marine Phytoplankton and Seaweeds |
title_sort |
object-based modeling of marine phytoplankton and seaweeds |
publisher |
MDPI AG |
series |
Journal of Marine Science and Engineering |
issn |
2077-1312 |
publishDate |
2020-09-01 |
description |
The aim of this work is to simulate the dissolved oxygen deficiency in the coastal zone that sometimes occurs during the summer water stagnation. We consider the main components of the marine ecosystem that play a major role in such processes—concentrations of nitrogen, phosphorus and sulfur compounds in water, dissolved and particular organic matter, oxygen, biomass of phytoplankton and macroalgae. We use the object-based modeling technique to simulate the spatio-temporal variability of the ecosystem in a 2D domain. In comparison with the traditional approach, it gives several advantages: more precise parametrizations of the biological components’ functionality; higher spatial resolution; possibility to account for the individual variability of hydrobionts; easy inclusion of an arbitrary number of species in the model. Our model included three species of phytoplankton and seven macroalgae. Individual-based modules control their functionality. Species of phytoplankton and seaweeds chosen for simulations are typical for the coastal zone of Crimea. In the simulations, we study the contribution of micro- and macroalgae to the processes of self-purification of a semi-enclosed basin in case of a sharp increase in nutrient concentration in water. |
topic |
coastal ecosystem dissolved oxygen self-purification metabolic processes phytobenthos phytoplankton |
url |
https://www.mdpi.com/2077-1312/8/9/685 |
work_keys_str_mv |
AT elenavasechkina objectbasedmodelingofmarinephytoplanktonandseaweeds |
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