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Lisa K. Schneider, Lora Buckman, Nathalie Gypens, Michelle Jeuken, Maarten Klapwijk,
Arjen Markus, Tineke A. Troost, Lauriane Vilmin, Luca van Duren, Willem Stolte
Modelling phytoplankton, mixoplankton &
protozooplankton
PROTIST - a new primary
production module for
D-Water Quality
introduction
:
PROTIST
:
application
:
conclusion
Primary producers such as (phyto)plankton form the base
of marine coastal ecosystems.
2
Eutrophication
Carry capacity
Harmful Algae
Blooms
Carbon fluxes
Numerical Model
Hydrodynamics + Sediment Dynamics + Water Quality + …
introduction
:
PROTIST
:
application
:
conclusion
DELWAQ is the water quality component of the Deltares
numerical modelling suite.
3
plankton
DYNAMO BLOOM
Two different modules
to simulate plankton
and primary
production
introduction
:
PROTIST
:
application
:
conclusion
These two primary production modules differ in their
mathematical principles applied.
4
DYNAMO BLOOM
Monod kinetics Linear programming
Small time step
→ Turbulent
systems
Species competition
Simple
→ Too simple
24 h time step
→ Difficult in
turbulent
systems
→ Difficult in
species
ecosystem
interaction
introduction
:
PROTIST
:
application
:
conclusion
Hot topic in coastal zone management is the combination
of offshore wind farms with different forms of aquaculture.
5
+
Integrated multi-trophic
aquaculture (IMTA)
Primary production module requirements: Small time step
→ Interspecies competition
→ Turbulent systems
Multiple species
Offshore wind farms
Planktonic primary production
+
introduction
:
PROTIST
:
application
:
conclusion
DELWAQ recently released a new primary production
module called PROTIST.
6
plankton
DYNAMO BLOOM PROTIST
Three different modules
to simulate plankton and
primary production
introduction
:
PROTIST
:
application
:
conclusion
7
PROTIST is a primary production module for DELWAQ
that models the complete protist community.
PROTIST
5 protist functional types simultaneously
Schneider et al.
(2021) Modelling
mixoplankton along
the biogeochemical
gradient of the
Southern North Sea.
Ecological Modelling,
459.
ligh
t
NO3
- NH4
+
CO2,NH4
+,DIP
DIP
DO
M
PO
M
CO2
pre
y
SAPPM
1 protist functional type at a time
Flynn (2021) Enhancing Microalgal Production
- constructing decision support tools using
system dynamics modelling. Zenodo.
http://doi.org/10.5281/zenodo.5036605
introduction
:
PROTIST
:
application
:
conclusion
Phytoplankton Protozooplankton Mixoplankton
1. Photosynthesis
2. Uptake dissolved inorganic
nutrients
1. Capture and assimilate
prey
1. Photosynthesis
2. Uptake dissolved inorganic
nutrients
3. Capture and assimilate
prey
8
A protist community is the base of marine food web and
consists of phyto-, protozoo-, and mixoplankton.
introduction
:
PROTIST
:
application
:
conclusion
9
Mixoplankton can be distinguished into four different
types.
9
Constitutive
Mixoplankton
CM
Non-Constitutive
Mixoplankton
NCM
Innate chloroplasts Must aquire photosynthetic capabilities from prey
General
GNCM
plastid Specialist
pSNCM
endosymbiotic
Specialist
eSNCM
e.g. Alexandrium e.g. certain ciliates e.g. Dinophysis Noctiluca
scintillans
introduction
:
PROTIST
:
application
:
conclusion
10
Protist has five different functional types with each a
different amount of state variables
Each Protist Functional Type (PFT)
→ Protist C
→ Protist N
→ Protist P
Phototrophic PFTs
→ Protist Chl
Diatom PFT
→ Protist Si
introduction
:
PROTIST
:
application
:
conclusion
11
All state variables required
→ 5 Protist Function Types (PFTs)
→ diatom
→ green algae
→ constitutive mixoplankton CM
→ non-constitutive mixoplankton NCM
→ protozooplankton
→ 5 inorganic nutrient state variables
→ 4 particulate organic state variables
introduction
:
PROTIST
:
application
:
conclusion
12
Gain fluxes
→ Nutrient uptake
introduction
:
PROTIST
:
application
:
conclusion
13
Gain fluxes
→ Photosynthesis
introduction
:
PROTIST
:
application
:
conclusion
14
Gain fluxes
→ Grazing
introduction
:
PROTIST
:
application
:
conclusion
15
Gain fluxes
→ Grazing
→ Nutrient uptake
→ Photosynthesis
introduction
:
PROTIST
:
application
:
conclusion
16
Loss fluxes
→ Respiration (all PFTs)
introduction
:
PROTIST
:
application
:
conclusion
17
Loss fluxes
→ Mortality (all PFTs)
introduction
:
PROTIST
:
application
:
conclusion
18
Loss fluxes
→ Excretion
introduction
:
PROTIST
:
application
:
conclusion
19
Loss fluxes
→ DOC voiding
introduction
:
PROTIST
:
application
:
conclusion
20
Loss fluxes
→ Nutrient voiding
introduction
:
PROTIST
:
application
:
conclusion
21
Loss fluxes
→ Sedimentation for
diatoms
introduction
:
PROTIST
:
application
:
conclusion
22
Loss fluxes
→ Respiration (all PFTs)
→ Mortality (all PFTs)
→ Excretion
→ DOC voiding
→ Nutrient voiding
→ Sedimentation for
diatoms
introduction
:
PROTIST
:
application
:
conclusion
23
Conceptual model of
PROTIST
introduction
:
PROTIST
:
application
:
conclusion
24
Both sugar kelp as well as the protist community require
access to the dissolved inorganic nutrient pool.
→ Uptakes inorganic nutrients during winter
→ Harvested during summer
→ Competes for dissolved inorganic nutrients
Does the intensification of kelp aquaculture affect the
composition of planktonic protist communities?
introduction
:
PROTIST
:
application
:
conclusion
25
We set up a 3D ecological model of the North Sea and ran
two different scenarios.
Zijl, F. et al. (2018). The 3D Dutch Continental Shelf Model – Flexible Mesh (3D DCSM-FM). Deltares rapporte 1220339-000.
PROTIST
Dutch Continental Shelf Model
– Flexible Mesh (DCSM-FM)
D-Water Quality (DELWAQ)
Deltares (2022). D-Water Quality user manual. https://content.oss.deltares.nl/delft3d/manuals/D-Water_Quality_User_Manual.pdf
introduction
:
PROTIST
:
application
:
conclusion
26
PROTIST was combined with a seaweed module and two
scenarios were run.
Reference
scenario
Seaweed
scenario
Diatom
Green
algae
Protozoo-
plankton
CM
Seaweed -
introduction
:
PROTIST
:
application
:
conclusion
27
In the seaweed scenario, seaweed was seeded in 25 % of
the area of each offshore wind farm.
Modified from Vilmin and Van Duren (2021) Modelling seaweed cultivation on the Dutch continental shelf. Deltares report (https://www.deltares.nl/en/publications/)
introduction
:
PROTIST
:
application
:
conclusion
28
The reference scenario manages to capture the timing of
the nutrient peak concentrations well.
introduction
:
PROTIST
:
application
:
conclusion
29
These model results visualize the relative difference
between the reference and seaweed scenario.
→ Decrease in DIN and DIP
Surface DIN difference [%] Surface DIP difference [%]
introduction
:
PROTIST
:
application
:
conclusion
30
The model results show a relative change in trophic
composition of the protists community in OWF.
→ Relative increase in CM and diatom biomass
Surface CM biomass difference [%] Surface diatom biomass difference [%]
introduction
:
PROTIST
:
application
:
conclusion
31
From the 3D model results, it can tentatively be concluded
that
Seaweed aquaculture in the SNS could lead
→ Decrease in DIN and DIP concentrations
Could lead to a
→ Increase of CM biomass
→ Increase of diatom biomass
→ Change in trophic composition of protist
communities
Reference
scenario
Seaweed
scenario
Diatom
Green
algae
Protozoo-
plankton
CM
Seaweed -
introduction
:
PROTIST
:
application
:
conclusion
32
PROTIST offers a useful tool to analyze the impact of
anthropogenic changes on marine environments.
Integrated multi-trophic
aquaculture (IMTA)
Offshore wind farms
Planktonic primary production
Contact
www.deltares.nl
info@deltares.nl
@deltares
@deltares
linkedin.com/company/deltares
facebook.com/deltaresNL
lisa.schneider@deltares.nl

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