# Numerical Mesocosm Experimental Study on Harmful Algal Blooms of Two Algal Species in the East China Sea

Authors: Liangsheng Zhu; Qing Wang
Journal: Mathematical Problems in Engineering
 (2015)

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## Abstract

From the results of algal culture and mesocosm experiments, a numerical mesocosm experiment is designed that accounts for the effect of the marine environment (sea currents, nutrient levels, and temperature) on the harmful algal bloom (HAB) processes ofSkeletonema costatum and Prorocentrum donghaiense, two of the most frequent HAB-associated species in the East China Sea. Physical and ecological environment of the waters is simulated numerically by applying a hydrodynamic-ecological-one-way-coupled marine culture box model, which is semienclosed. The algal growth rate is digitalized by a temperature-factor-optimization Droop equation. A 90-mode-day numerical mesocosm experiment for the above two species is conducted. The species were found to alternately trigger algal blooms in the experimental waters, replicating the population succession phenomenon observed in the field and confirming that the two HAB species compete for nutrients. Deductively, the numerical result shows that both the Taiwan Warm Current and the eutrophication in the adjacent water of the Yangtze River Estuary contribute to the northward movement of algal concentration centers during HAB and also suggests that the lack of nutritious supplements in the open sea limits HAB occurrences in coastal waters.


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## Body

## 1. Introduction

As a disaster phenomenon causing huge losses, harmful algal bloom (HAB) has significantly restricted coastal economic sustainable development in China and has become of great public and governmental concern [1–3]. Being characterized by seasonal and location-concentrated occurrence, HABs in certain sea areas frequently arise from only two or three causative species. In the East China Sea (ECS),Skeletonema costatumandProrocentrum donghaiense appear to dominate HAB processes [4]. Primary ecophysiological characteristics have been described in culture experiments of both species.P. donghaiense belongs to a group of algae with specific nutritional needs, and its growth depends on the levels and ratios of nitrate and phosphate [5]. A high nitrogen to phosphorus ratio will significantly limit the multiplication ofP. donghaiense [6, 7] and its particular phosphorus requirements ensure a long incubation period beforeP. donghaiense can bloom [8]. Nutrients exert a similarly large impact on the growth ofS. costatum [9], as does light, temperature, salinity, and suspended matter [10, 11]. Compared withP. donghaiense,S. costatum has a better capacity for adapting to temperature changes and storing nutrients for later absorption [12–14]. Culture experiments on the above-mentioned species confirm that both species enjoy a physiological advantage in an artificial ideal environment. Mesocosm experiments performed at specified marine locations provide a more realistic description of the algal growth characteristics and the interspecific competition mechanism in the nonideal environment. Field mesocosm experiments show that the temperature, salinity, nutrient concentrations, and light conditions in seawater exert varying degrees of impact on the growth ofP. donghaiense andS. costatum, which to some extent reflects the competitive advantage of these red tide algae in different environments. Further mesocosm experiments [11, 15, 16], showing how seawater temperature, salinity, nutrient, light, and other field factors affect the growth of both species, essentially reveal a competitive advantage for either species under a particular marine condition. Clearly, most of the local marine environmental factors are inherently included in mesocosm experiments, from which more realistic conclusions can be drawn regarding the HAB mechanism. However, the single fixed locality of the experimental site, the limited mesocosm range, and the isolating nature of the device will largely restrict the impact of surrounding environment factors such as currents, nutrients, and temperature. Here, guided by the results of culture and mesocosm experiments [17, 18], a numerical mesocosm experiment on harmful algal blooms of two algal species in the ECS is conducted to account for multiple impacting factors on the process and dynamics of HAB. To achieve this, we apply a hydrodynamic-ecological coupled model combined with an improved algal growth model.


## 2. Scheme Design

A coupled hydrodynamical ecological model for regional shelf seas (COHERENS) [19] is used to construct the environmental background of this experiment.The physical part, including seawater temperature, salinity, light, and current, is simulated by the physical module of COHERENS. This physical module is a baroclinic prognostic model [20] with complete forcing at sea surface and is governed by a general set of equations describing the momentum, the continuity, the thermohaline, and the density of the ambient seawater. The physical equations are discretized horizontally on a C-grid and adopt the level 2.5 turbulence closure model (for details see [19]).The biological module of COHERENS provides the ecological background in which organic carbon and nitrogen cycling is carried out within microplankton and detrital compartments, with associated changes in concentrations of dissolved nitrate, ammonium, and oxygen. The coupling between these two modules is rendered unidirectional by inputting the physical variable field calculations into the biological module for running the biochemical process and by outputting the distribution of each ecological state variable. In this one-way coupling mode, hydrodynamic conditions influence the distribution of ecological variables, while the ecosystem by no means affects the movement of sea water within or outside the mesocosm boundary. Such a semienclosed marine culture box mode is essentially equivalent to the marine environmental background of field mesocosm experiments.The concentration of HAB algae added to the experimental waters is modeled by a general scalar convection-diffusion equation:(1)
d
A
X
d
t
-
d
i
f
f
A
X
=
β
A
X
,where A
X is the algal concentration (mmol m−3) and the algal source/sink process β
(
A
X
) is considered as biomass variation caused by the algal net growth and grazing pressure. The algal growth is described by the Droop equation [21] modified by a temperature factor f
(
T
):(2)
μ
A
X
=
μ
A
X
m
a
x
m
i
n
C
N
j
-
C
N
j
m
i
n
C
N
j
f
T
,where μ
A
X
m
a
x is the algal maximum growth rate, C
N
j is the concentration of nutrient j, and C
N
j
m
i
n is the nutrient threshold required for algal growth. The temperature factor is parameterized by an improved form of the empirical formula specified in [22] as follows:(3)
f
T
=
e
-
q
T
T
-
T
r
,where q
T is an empirically determined coefficient, T is the sea water temperature, and T
r is the reference temperature. A simple nudging method [23] is introduced to configure the temperature and surface concentrations of nitrate, phosphate, and silicate in this numerical marine incubator. The default value of basal respiration rate for autotrophs is 0.05 day−1. It is a crucial assumption of this version of microplankton that the value of the heterotroph fraction does not change during a simulation and the default ratio of microheterotroph to microplankton carbon biomass is 0.3. A schematic of the numerical mesocosm experiment based on the above theory is shown in Figure 1.Figure 1
Framework of the numerical mesocosm experiment.To reduce the limitations on local conditions, the range of the numerical mesocosm experiment is extended from a specified locality to the Yangtze River Estuary and its adjacent waters (120°00′E–124°00′E, 27°00′N–30°45′N), where HABs occur frequently. The numerical resolution is set at5
′
×
5
′ in the horizontal and 11 sigma levels in the vertical. The bathymetry of the experimental region is shown in Figure 2.Figure 2
Bathymetry (m) of the numerical experimental region.The initial and open physical boundary conditions are obtained from baroclinic diagnostic simulations of a wider range of spring circulation encompassing the entire ESC, which is performed as described in [24], except that open boundary flux conditions are imposed on the spring in the COHERENS physical module [25]. The initial ecological variable fields are distributed according to a subset of chlorophyll data archived in the 2001 World Ocean Atlas [26]. Wind stress and surface fluxes of heat, salinity, and dissolved oxygen are input as sea surface forcing. A zero-flux condition is imposed on land boundary, but a certain amount of ecological exchange is allowed at the sea bottom. At the open boundary, a radiation condition is applied for horizontal currents and a zero gradient condition is chosen for scalar variables (for details see [19]). The latter is a feasible option given the lack of complete and continuous ecological survey data in the ESC, which also makes the values of each nutrient threshold and grazing pressure adjustable. The algal parameters are valued according to related research as follows: the maximum growth rate ofP. donghaiense andS. costatumis separately 1.88 day−1 and 4.21 day−1 [17]; the reference temperature ofP. donghaiense andS. costatumis separately 20°C and 17°C.Over time, surface concentrations of nitrate, phosphate, and silicate are nudged towards their observed concentrations [27] during the process of HAB. The algal species cultured in this experiment are specified asS. costatumandP. donghaiense. From estimates of HAB sources [28] these two species are assumed initially to be located in the Zhejiang offshore area (121°30′E–123°00′E, 27°00′N–28°00′N), and the initial algal concentrations are distributed according to the tracking observations [29, 30]. The numerical mesocosm experimental period is set to 90 mode days.


## 3. Results and Discussion

Since the HAB in the ESC generally occurs in the coastal upper water column between 30 m and 60 m isobaths [31], the surface data alone from the mesocosm experimental results were used in the analysis. The physical fields were plotted at specified time intervals to view their dynamics throughout the experiment.


### 3.1. Currents

The surface currents plotted in Figure3 indicate that the Kuroshio intrusion little affected the experimental region, while the southward Zhejiang coastal current (usually driven by northerly winds) gradually retreated northward, even tending directly towards north at late times. The Taiwan Warm Current, however, retained a northern flow throughout. The gradual strengthening of this flow over time was possibly the main reason for the northward migration of the HAB center.Figure 3
Surface current fields in the experimental region (m/s).


### 3.2. Nutrients

Initially (Figure4, Day 3), the specified high level of nutrient provided substantial sustenance for the blooming of numerically incubatedS. costatumandP. donghaiense. More than half of the nutrients had been consumed within the first 37 days of the experiment, providing indirect evidence of an algal bloom, probablyS. costatum one. Another algal bloom could be tracked by the nearly 50% reduction of nitrate and phosphate (but not silicate) during the next 48 days. BecauseP. donghaiense does not usually absorb silicate, this second bloom, with less nutrient consumption than the first, was assumed to be caused byP. donghaiense. By the final phase of the experiment, the phosphate concentration had descended to a very low level while the silicate concentration was raised, which suggests that the nudging approach had achieved moderate success.Figure 4
Surface nutrient concentration (mmol/m3) of nitrate (a), phosphate (b), and silicate (c) in the experimental region.
(a)
(b)
(c)


### 3.3. Algal Concentration and Sea Surface Temperature

The initial concentration ofS. costatumwas set at twenty times that ofP. donghaiense in accordance with previous analysis [29, 30], in which the concentration ofP. donghaiense was apparently less than 0.1 mmol/m3 (Figure 5). The sea surface temperature (SST) on day 1 ranged from 13 to 17°C.Figure 5
Surface concentrations (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 1.With a strong competition advantage in eutrophic waters,S. costatum reproduced at a high rate within the first few days of the experiment, culminating in a large-scale bloom on day 10 with maximum concentration exceeding 30 mmol/m3. The bloom center visibly moved northward, along the flow direction of the Taiwan Warm Current. Now the SST ranged from 15 to 19°C, consistent with the adaptive temperature range (15–25°C) of exponential growth inS. costatum [18]. Meanwhile, the surface concentration ofP. donghaiense had remained below 0.1 mmol/m3, possibly because the SST was outside the adaptive temperature range of this organism.TheS. costatum bloom, which lasted for approximately 22 days, consumed a large quantity of nutrients in the experimental region. Eventually, the reduced nutrient levels could no longer sustain rapidS. costatum growth and, by day 33, the bloom had dissipated under the default pressures of respiration and grazing (Figure 6). However,P. donghaiense, with lower nutrient requirements thanS. costatum, began to fill the depleted niche as the SST approached theP. donghaiense adaptive range (Figure 7).Figure 6
Surface algal concentration (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 10.Figure 7
Surface algal concentration (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 33.When the SST had risen to between 19°C and 23°C inclusively (day 47),P. donghaiense bloomed within a wide-ranging area with maximum concentration exceeding 40 mmol/m3 (Figure 8). This was accompanied by an obvious northward migration of its bloom center.S. costatum declined rapidly in most areas, persisting at low levels solely around the Yangtze River Estuary, consistent with its strong dependence on nutrient availability.Figure 8
Surface algal concentration (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 47.TheP. donghaiense bloom was sustained for 40 days, fading away on day 88 to concentrations below 0.5 mmol/m3 in most areas (Figure 9). Multiplication of both algal species was not further increased by ascending concentration of silicate. The decay of theP. donghaiense bloom and the further reduction inS. costatum concentration were both influenced by the increasing SST, indicating that this numerical experiment is relatively sensitive to temperature.Figure 9
Surface algal concentration (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 88.


## 3.1. Currents

The surface currents plotted in Figure3 indicate that the Kuroshio intrusion little affected the experimental region, while the southward Zhejiang coastal current (usually driven by northerly winds) gradually retreated northward, even tending directly towards north at late times. The Taiwan Warm Current, however, retained a northern flow throughout. The gradual strengthening of this flow over time was possibly the main reason for the northward migration of the HAB center.Figure 3
Surface current fields in the experimental region (m/s).


## 3.2. Nutrients

Initially (Figure4, Day 3), the specified high level of nutrient provided substantial sustenance for the blooming of numerically incubatedS. costatumandP. donghaiense. More than half of the nutrients had been consumed within the first 37 days of the experiment, providing indirect evidence of an algal bloom, probablyS. costatum one. Another algal bloom could be tracked by the nearly 50% reduction of nitrate and phosphate (but not silicate) during the next 48 days. BecauseP. donghaiense does not usually absorb silicate, this second bloom, with less nutrient consumption than the first, was assumed to be caused byP. donghaiense. By the final phase of the experiment, the phosphate concentration had descended to a very low level while the silicate concentration was raised, which suggests that the nudging approach had achieved moderate success.Figure 4
Surface nutrient concentration (mmol/m3) of nitrate (a), phosphate (b), and silicate (c) in the experimental region.
(a)
(b)
(c)


## 3.3. Algal Concentration and Sea Surface Temperature

The initial concentration ofS. costatumwas set at twenty times that ofP. donghaiense in accordance with previous analysis [29, 30], in which the concentration ofP. donghaiense was apparently less than 0.1 mmol/m3 (Figure 5). The sea surface temperature (SST) on day 1 ranged from 13 to 17°C.Figure 5
Surface concentrations (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 1.With a strong competition advantage in eutrophic waters,S. costatum reproduced at a high rate within the first few days of the experiment, culminating in a large-scale bloom on day 10 with maximum concentration exceeding 30 mmol/m3. The bloom center visibly moved northward, along the flow direction of the Taiwan Warm Current. Now the SST ranged from 15 to 19°C, consistent with the adaptive temperature range (15–25°C) of exponential growth inS. costatum [18]. Meanwhile, the surface concentration ofP. donghaiense had remained below 0.1 mmol/m3, possibly because the SST was outside the adaptive temperature range of this organism.TheS. costatum bloom, which lasted for approximately 22 days, consumed a large quantity of nutrients in the experimental region. Eventually, the reduced nutrient levels could no longer sustain rapidS. costatum growth and, by day 33, the bloom had dissipated under the default pressures of respiration and grazing (Figure 6). However,P. donghaiense, with lower nutrient requirements thanS. costatum, began to fill the depleted niche as the SST approached theP. donghaiense adaptive range (Figure 7).Figure 6
Surface algal concentration (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 10.Figure 7
Surface algal concentration (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 33.When the SST had risen to between 19°C and 23°C inclusively (day 47),P. donghaiense bloomed within a wide-ranging area with maximum concentration exceeding 40 mmol/m3 (Figure 8). This was accompanied by an obvious northward migration of its bloom center.S. costatum declined rapidly in most areas, persisting at low levels solely around the Yangtze River Estuary, consistent with its strong dependence on nutrient availability.Figure 8
Surface algal concentration (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 47.TheP. donghaiense bloom was sustained for 40 days, fading away on day 88 to concentrations below 0.5 mmol/m3 in most areas (Figure 9). Multiplication of both algal species was not further increased by ascending concentration of silicate. The decay of theP. donghaiense bloom and the further reduction inS. costatum concentration were both influenced by the increasing SST, indicating that this numerical experiment is relatively sensitive to temperature.Figure 9
Surface algal concentration (mmol/m3) ofP. donghaiense andS. costatum algae and SST (°C) on day 88.


## 4. Conclusions and Discussion

### 4.1. Conclusions

Results from indoor culture [18] and field mesocosm experiments [17] show thatS. costatumhas a competitive advantage in a rich nutrient environment; it proliferates rapidly and thus blooms within a shorter period than its competitor. Conversely,P. donghaiense can survive in a low nutrient environment and maintains a long bloom period if sea temperature is favorable. The mechanism by whichS. costatum andP. donghaiense compete was unveiled in the numerical mesocosm experiment. This experiment confirmed that both the Taiwan Warm Current and the eutrophication in the adjacent water of Yangtze River Estuary contribute to the northward moving of the HAB center and also suggested that the lack of nutrient supplement in the open sea limits HAB occurrences in coastal waters.


### 4.2. Discussion

By comparing the three types of experiment (Table1), we note that some ecological parameters in the numerical mesocosm can be directly determined from the results of indoor culture and field mesocosm, which are represented in turn by those of the numerical experiment. The equivalency between them confirms that the parameters of bioexperiments, whether indoor or field, are the preconditions and the important bases of numerical ones.Table 1
Comparison between indoor culture, field mesocosm, and numerical mesocosm.
Mode
Indoor culture
Field mesocosm
Numerical mesocosm
Location
Culture dishes
30°50.5′N, 122°6.7′E
~120°00′E–124°00′E, ~27°00′N–30°45′N
Species
S. costatumand P. donghaiense
S. costatumand P. donghaiense
S. costatumand P. donghaiense
Physical environment
Artificial light sourceFixed thermohaline valueStill water
Natural lightLocal water temperature and salinityNo current impact
Parameterized irradianceSimulated thermohaline valueSimulated current
Nutrient condition
Artificially added culture medium
Artificially added nutrients
Simulated nutrient concentration nudged towards observations
Exchange with  outside
None
Artificial circulation
Numerical boundary conditions
Results
(a) Adaptive temperature range of exponential growth phase for these two species(b) S. costatum is more competitive in a rich nutrient environment(c) P. donghaiense can live in low nutrient environment
(a) Maximum growth rates of these two species(b) S. costatum can proliferate rapidly under high nutrient conditions and has a shorter duration of bloom(c) P. donghaiense can survive under nutrient-limited conditions and its blooms persist over a longer period
(a) Simulation of the algal blooms caused in turn by these two species further confirms the competition mechanism between them(b) The current contribution to the northward migration of the bloom center(c) The lack of nutrient supplement in the open sea limits HAB occurrences in the coastal watersAlthough the numerical mesocosm is less restricted by temporal and spatial constraints than physical systems, large calculation errors arise because of the incomplete understanding of marine ecological mechanisms and the uncertainty of ecological parameters. Consequently, the numerical experiment results cannot be quantitatively validated in this study. More accurate results of the numerical mesocosm experiment can be obtained only through a complete marine ecological investigation and a thorough understanding of the marine ecosystem.


## 4.1. Conclusions

Results from indoor culture [18] and field mesocosm experiments [17] show thatS. costatumhas a competitive advantage in a rich nutrient environment; it proliferates rapidly and thus blooms within a shorter period than its competitor. Conversely,P. donghaiense can survive in a low nutrient environment and maintains a long bloom period if sea temperature is favorable. The mechanism by whichS. costatum andP. donghaiense compete was unveiled in the numerical mesocosm experiment. This experiment confirmed that both the Taiwan Warm Current and the eutrophication in the adjacent water of Yangtze River Estuary contribute to the northward moving of the HAB center and also suggested that the lack of nutrient supplement in the open sea limits HAB occurrences in coastal waters.


## 4.2. Discussion

By comparing the three types of experiment (Table1), we note that some ecological parameters in the numerical mesocosm can be directly determined from the results of indoor culture and field mesocosm, which are represented in turn by those of the numerical experiment. The equivalency between them confirms that the parameters of bioexperiments, whether indoor or field, are the preconditions and the important bases of numerical ones.Table 1
Comparison between indoor culture, field mesocosm, and numerical mesocosm.
Mode
Indoor culture
Field mesocosm
Numerical mesocosm
Location
Culture dishes
30°50.5′N, 122°6.7′E
~120°00′E–124°00′E, ~27°00′N–30°45′N
Species
S. costatumand P. donghaiense
S. costatumand P. donghaiense
S. costatumand P. donghaiense
Physical environment
Artificial light sourceFixed thermohaline valueStill water
Natural lightLocal water temperature and salinityNo current impact
Parameterized irradianceSimulated thermohaline valueSimulated current
Nutrient condition
Artificially added culture medium
Artificially added nutrients
Simulated nutrient concentration nudged towards observations
Exchange with  outside
None
Artificial circulation
Numerical boundary conditions
Results
(a) Adaptive temperature range of exponential growth phase for these two species(b) S. costatum is more competitive in a rich nutrient environment(c) P. donghaiense can live in low nutrient environment
(a) Maximum growth rates of these two species(b) S. costatum can proliferate rapidly under high nutrient conditions and has a shorter duration of bloom(c) P. donghaiense can survive under nutrient-limited conditions and its blooms persist over a longer period
(a) Simulation of the algal blooms caused in turn by these two species further confirms the competition mechanism between them(b) The current contribution to the northward migration of the bloom center(c) The lack of nutrient supplement in the open sea limits HAB occurrences in the coastal watersAlthough the numerical mesocosm is less restricted by temporal and spatial constraints than physical systems, large calculation errors arise because of the incomplete understanding of marine ecological mechanisms and the uncertainty of ecological parameters. Consequently, the numerical experiment results cannot be quantitatively validated in this study. More accurate results of the numerical mesocosm experiment can be obtained only through a complete marine ecological investigation and a thorough understanding of the marine ecosystem.



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*Source: 169860-2015-10-19.xml*