Diversity and Distribution of Phytoplankton in the Singkil Peat Swamp Water, Aceh Province, Indonesia

Diversity and Distribution of Phytoplankton in the Singkil Peat Swamp Water, Aceh Province, Indonesia

Dea Savira Nanda Muhammad Razi Khalidin Khalidin Febry Darmawan Mahfud Mahfud Firdus Firdus Zainal A. Muchlisin*

Master Program in Integrated Coastal Resource Management, Institute of Graduate Studies, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia

Doctoral Program of Mathematics and Applied Sciences, Institute of Graduate Studies, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia

Department of Marine Science, Faculty of Marine and Fisheries, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia

Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia

Department of Aquaculture, Faculty of Marine and Fisheries, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia

Corresponding Author Email: 
muchlisinza@usk.ac.id
Page: 
1177-1186
|
DOI: 
https://doi.org/10.18280/ijdne.190408
Received: 
20 April 2024
|
Revised: 
16 July 2024
|
Accepted: 
23 July 2024
|
Available online: 
28 August 2024
| Citation

© 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).

OPEN ACCESS

Abstract: 

The Singkil peat swamp (SPS) is threatened by land conversion into oil palm plantations and settlements, thus posing a significant threat to aquatic biodiversity, including phytoplankton as a primary producer in the aquatic food chain, and yhytoplankton is commonly used as one of the bioindicators for monitoring aquatic health. Therefore, this research aimed to analyze the diversity and distribution of phytoplankton in Singkil peat swamp water as a basic data for monitoring aquatic condition of SPS in the future. The analysis was conducted at 11 sampling locations, which were determined purposively. Phytoplankton samples were collected using plankton net no. 25 by filtering 100 liters of surface water to a depth of 30 cm, while water samples were obtained between 10.00 AM to 15.00 PM. The filtered samples were put into a bottle and added with six drops of 4% Lugol solution. The results showed that there were 32 species of phytoplankton belonging to 8 classes, namely Bacillariophyceae, Cyanophyceae, Chlorophyceae, Cryptophyceae, Euglenoidea, Trebouxiophyceae, Ulvophyceae, and Zygnematophyceae. The highest abundance of phytoplankton was found in Seunabok Pusaka with a density of 2,480 cells/L, and Cyclotella sp. was identified as the most frequently occurring species. The average diversity index obtained was 1.50, falling into the medium category, while the average dominance index of 0.32 in the low category showed no dominant species. Furthermore, the average phytoplankton species richness index was in the low category. The Seuneubok and Impadang had a high similarity in community structure compared to other locations. The majority of phytoplankton showed a uniform distribution pattern, although three species had a group distribution pattern. A total of six bioindicator species were found namely Nitzchia, Oscillatoria, Euglena, Leptocylindrus, Phacus, and Chlorella. Seunabok Pusaka AFD 4 (St. 2) showed a higher number of bioindicator species, indicating that the location had been polluted.

Keywords: 

bioindicator, community structure, peat swamps, phytoplankton, Rawa Singkil

1. Introduction

Indonesia is rich in peat swamp, covering an area of 20 million hectares, and ranks fourth globally after Canada, Russia, and America [1]. Peat swamps are one type of wetland that is formed from the accumulation of organic materials, especially plants that are not completely decomposed. Peat swamp is a freshwater or estuarine ecosystem that can be used for agriculture, horticulture, and fisheries [2]. Previous research has shown that natural peat land is capable of absorbing approximately 30% of carbon [3], serving as water catchment areas that control flooding and provide habitat for aquatic biota including fish, gastropods, bivalves, crustaceans, and insects [4, 5]. Among several provinces in Indonesia, Aceh is characterized by natural peat swamp resources, namely Tripa and Singkil peat swamp. Specifically, the Singkil peat swamp is located in three districts and city, including Aceh Singkil, South Aceh District, and Subussalam city covering an area of 81,802.22 hectares [6]. According to Onrizal [7], several species have been identified in Tripa peat swamp, including 157 birds, 20 mammals, and 15 herpetofauna [7]. However, the exploration of aquatic biota in Rawa Singkil is limited, where only one report identified 39 fish species in 26 families and 31 genera [8].

The presence of aquatic biota is significantly influenced by the availability of phytoplankton in water, which serves as the primary producer in the aquatic food chains, and as a bioindicator to assess the health of waters [9, 10]. Phytoplankton play an essential role as producers for the existence of other organisms, particularly heterotrophic groups including fish larvae, crabs, shrimp, mollusks, zooplankton, and others [11-13]. The abundance of phytoplankton describes the level of productivity and fertility of the waters [14-16], which influences the survival as well as growth of fish and other aquatic biota [17].

Currently, Rawa Singkil area is under threat due to massive deforestation and land conversion into oil palm plantations, and settlements [18]. The activities of oil palm plantations in peat swamp areas affect the aquatic environment, leading to the entry of fertilizer and pesticide residues into water. This phenomenon causes eutrophication, which triggers the mass growth of phytoplankton species (blooming) and reduces the diversity of other aquatic organisms [19-21]. The potential for toxic phytoplankton blooms can also occur, which is dangerous for aquatic organisms and humans [22, 23]. This condition causes disruption of the food chain in water, thereby reducing fishery productivity. Recent research in Rawa Singkil peat swamps is limited to vegetation diversity and terrestrial animals [7, 24, 25]. However, there are two reports on the diversity and distribution of macrozoobenthos as well as fish. Khalidin et al. [26] reported the existence of 21 species of macrozoobenthos comprising three classes, namely Gastropoda, Bivalvia, and Malacostraca. Razi et al. [8] also identified 39 species of fish belonging to 26 families and 31 genera, but there are no reports on the diversity of phytoplankton in peat swamp water. Therefore, this research aimed to analyze the diversity and distribution of phytoplankton in Singkil peat swamp water, Aceh province, Indonesia.

2. Materials and Methods

2.1 Time and site

The research was carried out from June to August 2023 in peat swamp water of Rawa Singkil, Aceh province, Indonesia, as shown in Figure 1. Phytoplankton identification was conducted at the Marine Biology Laboratory, Faculty of Marine and Fisheries, Universitas Syiah Kuala, Banda Aceh. A total of 11 sampling locations were determined purposively, based on considerations for ease of access and the safety of the research team. The water areas were divided into two categories, namely water influenced by tides (red dots on the map) in nine locations and unaffected areas (green dots on the map) in two locations, as shown in Figure 1. Subsequently, three sampling points were determined at every water condition, as presented in Table 1.

Figure 1. The map of the Singkil peat swamp area showing the sampling locations

Note: Red dots are locations that are influenced by tides, and green dots are sampling locations that are not influenced by tides.

Table 1. The GPS coordinates and descriptions of sampling locations

Station

Descriptions

1

This is a small river located in the area of the ASN plantation company that has black and freshwater,

where some parts are overgrown with aquatic vegetation.

2

This location is a river within the area of the ASN plantation company, which has medium water flow, black,

and freshwater characteristics, along with a rocky bottom.

3

This location is a river estuary that is influenced by tides, characterized by pine trees and mangrove associations.

Additionally, there are traditional fish landing sites near the sampling location and residential areas.

4

The river mouth has black water characteristics, which are influenced by tides,

along with palm plantations and mangrove associations around the location.

5

The river estuary is influenced by tides and has the characteristics of brackish and blackish water.

During sampling, the water was at high tide,

and some parts had mangrove plants grow. Additionally, there is a traditional fish landing site near the sampling location.

6

This location is a freshwater river mouth that has black water.

The area is covered by sand dunes and overgrown with mangrove plants.

7

This is a freshwater river mouth with black water characteristics, comprising sand dunes and mangroves.

8

The river mouth was covered by sand dunes during sampling, but the water was brackish and brownish.

9

This location is an estuary area that is influenced by tides and covered with mangroves.

Furthermore, there is a raft crossing the river Kuala Baru connecting the South Aceh area to Singkil Regency.

10

This river is a tributary of the Alas River, characterized by brownish-yellow and freshwater, with mangrove and nipah vegetation.

11

This location is part of the lower stream of the Alas River, characterized by fast currents, and brownish water.

The river is influenced by tides, but the water is still fresh, with fish landing ports at the sampling location.

2.2 Preservation and identification process

Phytoplankton samples were obtained using a plankton net no. 25. Subsequently, water samples were taken between 10:00 and 15:00WIB, with three repetitions conducted at every sampling point. A total of 100L of surface water were filtered, and the water samples were put into a bottle, added with six drops of 4% Lugol solution, and mixed homogeneously. The samples were stored in an ice box at 4℃ and transported to the laboratory at the Faculty of Marine Affairs and Fisheries, Syiah Kuala University, Banda Aceh, for further analysis.

The dissolved oxygen (DO), water temperature, salinity, and pH were recorded in situ during the sampling. The DO was measured using a DO metre (DO-9100 Dissolved Oxygen Analyzer, China), temperature using a glass thermometre (ASTM 12C, etc.), salinity using a salinity metre (Atago MASTER, China), and pH using a pH metre (Atago DPH-2 ATC, China).

The samples were observed and identified using a binocular microscope (Carl Zeiss Primo Star, Germany) with 400x magnification. Before observation, samples in the bottle were inverted to achieve a homogeneous mixture. This was followed by the collecting of 0.05ml of water, which was dropped on a glass object, and observed using the census method. Subsequently, phytoplankton samples were counted and recorded based on APHA, followed by species identification through morphological characteristics and color. The identfication of the taxonomic status was carried out according to Tomas [27], Hasle et al. [28], Verlencar [29], and the online site platform (https://www.marinespecies.org/).

2.3 Measured parameters

Abundance

Phytoplankton abundance was calculated using a formula based on APHA [30], as follows:

$\mathrm{N}=\mathrm{n} \times \frac{1}{\mathrm{Vd}} \times \frac{\mathrm{Vt}}{\mathrm{Vs}}$

where, N= abundance (cell/L), n= total individual, Vt= total volume of filtered water (mL), Vd= total volume of water (L), Vs= total volume of water sample in the glass object (mL).

Frequency of occurrence

According to Krebs [31], frequency of occurrence (%) is expressed as (Total number of sampling locations of species found/ Total number of sampling locations) × 100. The results are categorized into various groups, including 0-25%: very rare presence, 25-50%: rare presence, 50-75%: moderate presence, and 75-100%: absolute presence.

Diversity index

The Shannon-Wiener diversity index was calculated based on Odum [32] as follows:

$H^{\prime}=-\sum_{\mathrm{i}=1}^{\mathrm{s}} \mathrm{Pi} \log 2 \mathrm{Pi}$

where, H: Shannon-Wiener, Log2=3.3219xlog Pi, Pi=ni/N, N= total individuals in all species, ni= Total individual belonging to the ith species. The Shannon-Wiener diversity index is categorized as follows: H’ < 1 indicates low diversity, suggesting an unstable community. Additionally, 1 < H’ ≤ 3 represents moderate, which indicates stability, and H’≥3 shows high diversity and stable community.

Simpson’s dominance index

The dominance index ranges from 0 to 1, where a value closer to zero suggests the absence of dominant species and vice versa. In this research, Simpson's dominance index formula was used for analysis based on Somerfield et al. [33], as follows:

$C=\sum_{i=1}^s\left(\frac{n i}{N}\right)^2$

where, C is the dominance index, ni is the total individual of ith species, and N is the total individual of all species. The index is categorized based on values, where C≤0.50 indicates the absence of dominant species, C≥0.50 and ≤0.75 shows the presence of a dominant species at a moderate level, while C≥0.75 represents a high level of dominant species.

Species richness index

The Margalef’s species richness index was calculated based on Magurran [34] using the following formula:

D=(S-1)/ln N

where, D is the Margalef’s species richness, S is the total species at ith location, and N is the total individual of all species at ith location. The Margalef’s species richness index is divided into various categories, namely D<2.5: low, 2.5>D>4: moderate, and D>4.0: high.

Similarity index

The similarity index was calculated based on Brower et al. [35] as follows:

$SI (\%)=\frac{2 C}{A+B} \times 100$

where, SI is the similarity index, A is the total species at location-a, B is the total species at location-b, and C is the total species at locations a and b. Based on Odum and Barret [32], the similarity index is categorized as SI 75%-100%, very similar, SI 50%-75%, similar, SI 25%-50%, not similar, IS<25%, very not similar. The level of similarity in community structure between locations was analyzed using Paleontological Statistics Software (PAST 4.13) and represented in a dendrogram graphic.

Distribution pattern

The Morisita index (Id) was used to analyze the distribution pattern of phytoplankton using the proposed formula by Brower et al. [35] as follows:

$Id =\mathrm{n} \frac{\Sigma \mathrm{X}^2-\mathrm{N}}{\mathrm{N}(\mathrm{N}-1)}$

where, Id is Morisita index, n is total plot, N is total individual, X2 = total species in every plot, and frequency of incidence in each plot. Based on categorization, Id = 1 represents random, Id < 1 shows uniform, and Id > 1 indicates group distribution pattern.

Main water quality parameters

The main water quality parameters measured included surface water temperature, salinity, dissolved oxygen, and pH. The measurements were carried out in situ with three replications and the results were compared with standards of water quality based on Indonesian Government Regulation (PP) No. 22, 2021.

2.4 Data analysis

The data were presented in tables and figures, followed by descriptive analysis by comparing the results with related research or references and obtaining conclusions.

3. Results

3.1 Species composition, abundance, and frequency of occurrence

A total of 32 species belonging to 8 classes of phytoplankton were recorded during the research, including Bacillariophyceae, Cyanophyceae, Chlorophyceae, Cryptophyceae, Euglenoidea, Trebouxiophyceae, Ulvophyceae, and Zygnematophyceae. Based on the results in Figure 2, Bacillariophyceae was identified as the most numerous species, accounting for 64%. As shown in Table 2, the abundance of phytoplankton in Singkil peat swamp water ranged from 300 cells/L to 2,840 cells/L, where the highest was found in Seunabok Pusaka AFD 4 (St. 2). This suggested the classification of Singkil peat swamp as mesotrophic water or moderate fertility, with Euglena sp. as the most commonly found species.

The frequency of occurrence analysis showed that Cyclotella sp. was found in nine locations, with a percentage of 81.82%. Additionally, there were 4 species with a moderate level of occurrence, namely, Synedra sp., Euglena sp., Melosira sp., and Pinnularia sp. The results in Table 3 showed 4 species with rare occurrence, namely, Ulotrix sp., Nitzchia sp., Navicula sp., and Fragilaria sp., as well as other 16 species with very rare occurrence.

Figure 2. Composition of classes based on species number of phytoplankton in the Singkil peat swamp

Table 2. The abundance of phytoplankton in the Singkil peat swamp waters based on sampling locations

No.

Species

South Aceh District

Aceh Singkil District

ni

Abundance (cells/L)

1

2

3

4

5

6

7

8

9

10

11

1

Asterionella

-

-

-

-

-

-

-

-

-

2

1

3

60

2

Bacillaria sp.

-

3

-

-

-

-

-

-

-

-

-

3

60

3

Chaetoceros lorenzianus

-

-

-

-

-

2

-

-

-

-

-

2

40

4

Chaetoceros sp.

1

-

-

-

-

-

-

-

-

-

2

3

60

5

Cyclotella sp.

5

22

-

2

32

3

15

5

9

-

4

97

1940

6

Eucampia zodiachus

4

-

-

-

-

-

-

-

-

-

-

4

80

7

Fragilaria sp.

1

4

-

-

-

-

-

-

-

-

1

6

120

8

Leptocylindrus minimus

-

-

14

-

-

-

-

-

-

-

-

14

280

9

Licmophora sp.

-

-

-

-

-

-

2

-

-

-

-

2

40

10

Melosira sp.

-

2

6

2

-

1

-

5

2

-

5

23

460

11

Navicula laterostrata

-

5

-

-

-

-

-

-

-

-

-

5

100

12

Navicula sp.

-

17

-

-

-

-

-

-

-

9

7

33

660

13

Nitzchia acicularis

-

-

-

-

-

-

-

-

-

-

4

4

80

14

Nitzchia sp.

6

5

-

-

-

-

7

-

-

-

-

18

360

15

Pinnularia sp.

2

1

-

-

-

-

10

5

-

9

46

73

1460

16

Surirella sp.

-

-

-

-

-

-

-

-

-

4

5

9

180

17

Synedra sp.

3

1

-

5

2

1

7

3

-

-

5

27

540

18

Synedra ulna

-

6

-

-

-

8

-

-

-

-

-

14

280

19

Thalasiothrix sp.

3

-

-

-

-

-

-

-

-

-

-

3

60

20

Ceratium sp.

-

2

-

-

-

-

-

-

-

-

-

2

40

21

Chalothrix sp.

-

-

-

-

-

-

11

-

-

-

-

11

220

22

Microcoleus vaginatus

-

-

-

-

-

-

9

-

-

-

-

9

180

23

Oscillatoria sp.

-

-

-

-

-

-

-

-

-

-

7

7

140

24

Palmella sp.

-

-

-

-

-

-

-

-

-

-

4

4

80

25

Cryptomonas sp.

-

3

-

-

-

-

-

-

-

-

-

3

60

26

Euglena sp.

4

28

-

13

-

-

10

9

8

17

12

101

2020

27

Phacus crassus

-

12

-

-

-

-

-

-

-

3

-

15

300

28

Chlorella sp.

-

3

-

-

-

-

-

-

7

-

-

10

200

29

Oocystis sp.

-

6

-

-

-

-

-

-

-

-

-

6

120

30

Cosmarium sp.

6

-

-

-

-

-

-

-

-

10

-

16

320

31

Hyalotheca undulata

-

3

-

-

-

-

-

-

-

-

-

3

60

32

Ulothix sp.

2

1

-

-

-

-

-

-

-

4

-

7

140

Total

37

124

20

22

34

15

71

27

26

26

103

537

10.74

Abundance (cell/L)

740

2480

400

440

680

300

1420

540

520

520

2060

10740

Table 3. Frequency of occurancy of phytoplankton in the Singkil peat swamp waters based on sampling locations

No.

Species

South Aceh District

Aceh Singkil District

FO %

Status

1

2

3

4

5

6

7

8

9

10

11

1

Asterionella

-

-

-

-

-

-

-

-

-

2

1

18.18

VRO

2

Bacillaria sp.

-

3

-

-

-

-

-

-

-

-

-

9.09

VRO

3

Ceratium sp.

-

2

-

-

-

-

-

-

-

-

-

9.09

VRO

4

Chaetoceros lorenzianus

-

-

-

-

-

2

-

-

-

-

-

9.09

VRO

5

Chaetoceros sp.

1

-

-

-

-

-

-

-

-

-

2

18.18

VRO

6

Chalothrix sp.

-

-

-

-

-

-

11

-

-

-

-

9.09

VRO

7

Chlorella sp.

-

3

-

-

-

-

-

-

7

-

-

18.18

VRO

8

Cosmarium sp.

6

-

-

-

-

-

-

-

-

10

-

18.18

VRO

9

Cryptomonas sp.

-

3

-

-

-

-

-

-

-

-

-

9.09

VRO

10

Cyclotella sp.

5

22

-

2

32

3

15

5

9

-

4

81.82

VOO

11

Eucampia zodiachus

4

-

-

-

-

-

-

-

-

-

-

9.09

VRO

12

Euglena sp.

4

28

-

13

-

-

10

9

8

17

12

72.73

MO

13

Fragilaria sp.

1

4

-

-

-

-

-

-

-

-

1

27.27

RO

14

Hyalotheca undulata

-

3

-

-

-

-

-

-

-

-

-

9.09

VRO

15

Leptocylindrus minimus

-

-

14

-

-

-

-

-

-

-

-

9.09

VRO

16

Licmophora sp.

-

-

-

-

-

-

2

-

-

-

-

9.09

VRO

17

Melosira sp.

-

2

6

2

-

1

-

5

2

-

5

63.64

MO

18

Microcoleus vaginatus

-

-

-

-

-

-

9

-

-

-

-

9.09

VRO

19

Navicula laterostrata

-

5

-

-

-

-

-

-

-

-

-

9.09

VRO

20

Navicula sp.

-

17

-

-

-

-

-

-

-

9

7

27.27

RO

21

Nitzchia acicularis

-

-

-

-

-

-

-

-

-

-

4

9.09

VRO

22

Nitzchia sp.

6

5

-

-

-

-

7

-

-

-

-

27.27

RO

23

Oocystis sp.

-

6

-

-

-

-

-

-

-

-

-

9.09

VRO

24

Oscillatoria sp.

-

-

-

-

-

-

-

-

-

-

7

9.09

VRO

25

Palmella sp.

-

-

-

-

-

-

-

-

-

-

4

9.09

VRO

26

Phacus crassus

-

12

-

-

-

-

-

-

-

3

-

18.18

VRO

27

Pinnularia sp.

2

1

-

-

-

-

10

5

-

9

46

54.55

RO

28

Surirella sp.

-

-

-

-

-

-

-

-

-

4

5

18.18

VRO

29

Synedra sp.

3

1

-

5

2

1

7

3

-

-

5

72.73

MO

30

Synedra ulna

-

6

-

-

-

8

-

-

-

-

-

18.18

VRO

31

Thalasiothrix sp.

3

-

-

-

-

-

-

-

-

-

-

9.09

VRO

32

Ulothix sp.

2

1

-

-

-

-

-

-

-

4

-

27.27

RO

Note: 1 = Seunabok Jaya AFD 5, 2 = Seunabok Pusaka AFD 4, 3= Kuala Trumon, 4= Alur Seuneubok, 5= Ie Meudama, 6 = TPI Teupin Tinggi, 7= Teupin Tinggi, 8 = Impadang, 9= Kuala Baru, 10 = Jembatan Kembar, 11 = Kilangan Village Harbor. VRO= Very rare occurance, VOO= Very often occurance, MO= Moderate occurance, RO= Rare occurance

3.2 Community structure

The results showed that phytoplankton diversity index ranged from 0.22 to 2.41, with an average value of 1.50 in the medium category, as shown in Table 4. The dominance index ranged from 0.11 to 0.89, with an average of 0.32, belonging to the low category or absence of dominant species The species richness index varied from 0.28 to 3.53, where Seunabok Pusaka AFD 4 (St. 2) served as location within high category. However, the average species richness of Singkil peat swamp water was 1.62, which belonged to the low category, as shown in Table 4.

Table 4. Ecological indices of Singkil peat swamps waters, Aceh province, Indonesia

No.

Location

Diversity Index (H')

Dominance Index (D)

Sepcies Richness (d)

Value

Category

Value

Category

Value

Category

1

Seunabok Jaya AFD 5

2.26

Moderate

0.11

Low

2.77

Moderate

2

Seunabok Pusaka AFD 4

2.41

Moderate

0.12

Low

3.53

Moderate

3

Kuala Trumon

0.61

Moderate

0.58

Moderate

0.33

Low

4

Alur Seuneubok

1.08

Moderate

0.42

Low

0.97

Low

5

Ie Meudama

0.22

Low

0.89

High

0.28

Low

6

TPI Teupin Tinggi

1.29

Moderate

0.35

Low

1.48

Low

7

Teupin Tinggi

1.99

Moderate

0.14

Low

1.64

Low

8

Impadang

1.55

Moderate

0.23

Low

1.21

Low

9

Kuala Baru

1.28

Moderate

0.29

Low

0.92

Low

10

Jembatan Kembar

1.88

Moderate

0.18

Low

1.72

Low

11

Kilangan Village Harbor

1.96

Moderate

0.23

Low

2.59

Moderate

Min.

0.22

 

0.11

 

0.28

 

Max.

2.41

 

0.89

 

3.53

 

Average

1.50

Moderate

0.32

Low

1.62

Low

3.3 Distribution patterns

The results showed that several locations had high similarities in community structure, including Alur Seuneubok (St. 4) and Impadang (St. 8), with a similarity level of 89%. As shown in Figure 3, the similarity level between Alur Seuneubok (St. 4) and Kuala Trumon (St. 3) was found to be 75%. Morisita index (Id) analysis showed that approximately all phytoplankton showed a uniform distribution pattern, where Cosmarium sp., Cyclotella sp., and Navicula sp. were clustered, as presented in Table 5.

Figure 3. Dendogram of similarity index of phytoplankton community structure of Singkil peat swamp, Aceh province, Indonesia

Table 5. Distribution patterns of the phytoplankton in the Singkil peat swamps water of Aceh province, Indonesia

No.

Species

Distribution Pattern

Category

1

Asterionella sp.

-14

Uniform

2

Bacillaria sp.

-12

Uniform

3

Ceratium sp.

-27

Uniform

4

Chaetoceros lorenzianus

-27

Uniform

5

Chaetoceros sp.

-14

Uniform

6

Chalothrix sp.

0

Uniform

7

Chlorella sp.

-1.73

Uniform

8

Cosmarium sp.

1.5

Group

9

Cryptomonas sp.

-12

Uniform

10

Cyclotella sp.

2.96

Group

11

Eucampia zodiachus

-7

Uniform

12

Euglena sp.

0.15

Uniform

13

Fragilaria sp.

-4.8

Uniform

14

Hyalotheca undulata

-12

Uniform

15

Leptocylindrus minimus

0.69

Uniform

16

Licmophora sp.

-27

Uniform

17

Melosira sp.

-0.91

Uniform

18

Microcoleus vaginatus

-0.75

Uniform

19

Navicula laterostrata

-4.5

Uniform

20

Navicula sp.

1.09

Group

21

Nitzchia acicularis

-4.25

Uniform

22

Nitzchia sp.

0.75

Uniform

23

Oocystis sp.

-3

Uniform

24

Oscillatoria sp.

-2

Uniform

25

Palmella sp.

-7

Uniform

26

Phacus crassus

-0.17

Uniform

27

Pinnularia sp.

0.86

Uniform

28

Surirella sp.

-2,41

Uniform

29

Synedra sp.

-0.74

Uniform

30

Synedra ulna

-0.89

Uniform

31

Thalasiothrix sp.

-12

Uniform

32

Ulothix sp.

-4

Uniform

3.4 Main water quality parameters

The research showed that temperature ranged from 28.2 to 33.7℃, the highest and lowest value recorded in Kilangan Village Harbor (St. 11) and Teupin Tinggi (St. 7), respectively. The dissolved oxygen (DO) varied from 3.5 to 6.8 mg/L, with the highest value obtained at Jembatan Kembar (St. 10), while the lowest was found at TPI Teupin Tinggi (St. 6) and Seuneubok Alur (St. 6). Furthermore, pH ranged from 4.6 to 8.7, with the highest ad lowest value obtained at the Jembatan Kembar (St. 10) and TPI Teupin Tinggi (St. 6), respectively. The salinity varied from 0 ppt to 22 ppt, where Jembatan Kembar (St. 10) had the highest value of 22 ppt. Based on the classification, the salinity level between 2-9 ppt was classified as brackish for Kuala Trumon (St. 3), Alur Seuneubok (St. 4), Impadang (St. 8), and Kuala Baru (St. 9). Meanwhile, the other six locations were classified as freshwater, as shown in Table 6.

Table 6. The main water quality parameter in Singkil peat swamp waters of Aceh province, Indonesia

Station

District

Location

Temp. (℃)

DO (mg/L)

pH

Salinity (ppt)

1

Trumon

Seunabok Jaya AFD 5

31

4.4

6.5

0

2

Trumon

Seunabok Pusaka AFD 4

31.5

4.3

6.7

0

3

Trumon

Kuala Trumon

29

5.6

7.5

9

4

Trumon

Alur Seuneubok

28.9

3.5

6.5

2

5

Trumon

Ie Meudama

28.9

4.1

6.8

0

6

Trumon

TPI Teupin Tinggi

28.6

3.9

4.6

0

7

Trumon

Teupin Tinggi

28.2

4.4

6.9

0

8

Trumon

Impadang

28.6

5.1

6.7

2

9

Kuala Baru

Kuala Baru

28.9

5.9

6.8

2

10

Kuala Baru

Jembatan Kembar

33.5

6.8

8.7

22

11

Singkil

Kilangan Village Harbor

33.7

5.6

8.6

0

 

Average

29.9

4.9

6.9

3.4

Quality standard of waters based on Indonesian Regulation No. 22, 2021

Dev. 3

3.00

6.9

-

4. Discussion

The research showed that Bacillariophyceae had the highest number of species, accounting for 62%, due to the adaptability of the class to environmental variations [36, 37]. Apart from the Singkil peat swamp, the Bacillariophyceae were also dominantly found in the Russian Yugra peat swamp [38] and the Ogan Komering Ilir peat swamp, South Sumatra [39]. According to Heraamza et al. [40] and Saxena et al. [41], Bacillariophyceae, which are mostly from the diatom group, are cosmopolitan phytoplankton capable of surviving in extreme or polluted waters. Meanwhile, phytoplankton, with a low proportion, such as Cryptophyceae, Ulvophyceae, and Chlorophyceae have slow growth and a long life cycle [42]. Chlorophyceae are solitary, and their growth is largely determined by the amount of nutrients in the water [43, 44].

The highest abundance of phytoplankton was found in Seunabok Pusaka AFD 4 (St. 2), with Euglena sp. being the most abundant. Meanwhile, the lowest abundance was found at the TPI Teupin Tinggi (St. 6), characterized by blackish brown waters, with numerous aquatic plants that prevent the penetration of sunlight, photosynthesis process, and growth of phytoplankton [45]. The low abundance of phytoplankton was attributed to currents and tides [46]. In comparison with other locations, the highest abundance of Euglena sp. was found in Seunabok Pusaka AFD 4 (St. 2). Regarding phytoplankton and water status, Seunabok Pusaka AFD 4 (St. 2) and Kilangan Village Harbor (St. 11) were classified as mesotrophic or medium fertility levels, while nine locations were classified as oligotrophic water with low fertility. Although some areas in Singkil peat swamp water had been converted into oil palm plantations, there was no indication of eutrophication at the sampling locations. This phenomenon occurred because plantations in the area had an extensive scale, resulting in minimal fertilizer residue runoff into water.

The results showed that several species of bioindicator phytoplankton occurred in Rawa Singkil water, namely, Nitzschia was found at Seunabok Jaya AFD 5 (St. 1), Seunabok Pusaka AFD 4 (St. 2), Teupin High (St. 7), and Kilangan Village Harbor (St. 11). Chlorella was found at Seunabok Pusaka AFD 4 (St. 2) and Kuala Baru (St. 9), while Oscillatoria was identified at Kilangan Village Harbor (St. 11). Furthermore, Leptocylindrus was found on Kuala Trumon (St. 3), Euglena was discovered at all stations except Kuala Trumon (St. 3), Ie Meudama (St. 5), and TPI Teupin Tinggi (St. 6). Other species, specifically Phacus was found at Seunabok Pusaka AFD 4 (St. 2) and Jembatan Kembar (St. 10). According to Sidomukti and Wardhana [47], the presence of two or more aquatic bioindicators, including phytoplankton, serves as an indication of water pollution. Therefore, the presence of bioindicator species at six locations showed significant disturbances in water body. At Seunebok Pustaka AFD 4 (St. 2), four bioindicator species were found, suggesting pollution.

The research showed that Cyclotella sp. of the Bacillariophyceae class had a very high frequency of occurrence. This class of phytoplankton was also dominated peat swamp water of the Ambawang River, Kubu Raya Regency, West Kalimantan Province, Indonesia [48], and the Obolo River Estuary, Niger Delta [49]. Most species from the Bacillariophyceae class have a wide distribution, thriving in various types of habitats, including freshwater, seas, and estuaries [50]. The results showed that almost all phytoplankton had a uniform distribution pattern, although three species showed group distribution namely Cosmarium sp., Cyclotella sp., and Navicula sp. Grouping patterns occur due to variations in habitat, such as hydrographic conditions and tidals [51]. Additionally, the distribution of phytoplankton depends on the movement of water currents [52], temperature, sunlight, dissolved oxygen (DO), pH, and turbidity [53].

The average index diversity of phytoplankton in Singkil peat swamp water was classified as a moderate category. This served as an initial indication that the water was under threat from ecological perturbation due to the high level of exploitation and land conversion to oil palm plantation. Therefore, it is necessary to immediately take preventive action by developing regulations to prevent the conversion of peat swamps to plantations and maintaining the function of this ecosystem as water catchment and flood control. The use of chemicals, such as excessive use of fertilizers and pesticides, on oil palm plantations on peatlands also needs to be regulated. The average value of phytoplankton dominance index was in the low category, indicating the absence of dominant species. Based on the similarity index, Alur Seuneubok (St. 4) and Impadang (St. 8) had a high level of similarity in community structure, reaching 89%. The results showed that the composition and abundance of each species between the two locations were relatively the same due to the habitat and water quality. Stations 4 and 8 are both river estuaries with brackish water salinity, characterized by relatively the same pH and temperature. However, the physical-chemical quality values in Rawa Singkil water are still within the standards of Indonesian Government Regulations No. 22, 2021.

5. Conclusion

In conclusion, this research identified 32 species of phytoplankton, which were divided into eight classes, namely Bacillariophyceae, Cyanophyceae, Chlorophyceae, Cryptophyceae, Euglenoidea, Trebouxiophyceae, Ulvophyceae, and Zygnematophyceae. The highest abundance of phytoplankton was found in Seunabok Pusaka AFD 4 (St. 2), with Cyclotella sp. being the most frequently occurring species. The average diversity index of 1.50 was classified into medium category, while a value of 0.32 indicated the low category, suggesting no dominant species. However, six bioindicator species, namely Nitzchia, Oscillatoria, Euglena, Leptocylindrus, Phacus, and Chlorella, were found, where Seunabok Pusaka AFD 4 (St. 2) had the highest species. The results also showed that the average species richness index was classified into the low category. Additionally, Seuneubok (St. 4) and Impadang (St. 8) had a high similarity index compared to other locations. The distribution pattern of phytoplankton was generally classified as uniform, while Navicula sp., Cyclotella sp., and Cosmarium sp. had a group distribution pattern. These findings are the initial indication of disturbances in the water quality of the Singkil peat swamp.

Funding

This study was funded by Universitas Syiah Kuala through the Professorship Research Grant for the corresponding author (Contract No.: 53/UN11.2.1/PT.01.03/PNBP/2023); therefore, we would like to thank the Rector of Universitas Syiah Kuala for financing this research.

  References

[1] Pratama, H., Sutikno, S., Yusa, M. (2020). Prediksi prediksi lengas tanah di daerah gambut tropis Riau, Indonesia. Aptek, 75-80. https://doi.org/10.30606/aptek.v12i2.301

[2] Noor, M., Sulaeman. Y. (2022). Pemanfaatan dan pengelolaan lahan rawa: Kearifan kebijakan dan keberlanjutan, UGM PRESS. https://ugmpress.ugm.ac.id/.

[3] Suhendri, S., Muhaimin, M., Hapsa, H. (2024). Sustained economic revitalization of peatlands to support the green economy in Jambi. In International Conference on Social and Politics (ICSP 2023). Atlantis Press, pp. 299-310. https://doi.org/10.2991/978-2-38476-194-4_32

[4] Rizka, S., Muchlisin, Z.A., Akyun, Q., Fadli, N., Dewiyanti, I., Halim, A. (2016). Komunitas makrozoobentos di perairan estuaria rawa gambut Tripa Provinsi Aceh. Syiah Kuala University. Jurnal Ilmiah Mahasiswa Kelautan dan Perikanan Unsyiah, 1(1): 134-145. https://media.neliti.com/media/publications/188572-ID-komunitas-makrozoobentos-di-perairan-est.pdf.

[5] Oktavianti, S., Falahudin, I., Herliadi, R. (2020). Keanekaragaman spesies ikan pada aliran drainase lahan gambut di wilayah kecamatan pedamaran Kabupaten OKI sumatera selatan. In Prosiding Seminar Nasional Sains dan Teknologi Terapan, 3(1): 512-517.

[6] Rohim, N., Sulistiono, S., Yulianda, F. (2022). Aquatic environmental characteristic of Singkil Swamp wildlife reserve in Aceh Singkil Regency. DEPIK-Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan, 11(1): 7-15.

[7] Onrizal, O. (2019). Diversity of understorey at singkil swamp wildlife reserve. IOP Conference Series: Earth and Environmental Science, 260(1): 012069. https://iopscience.iop.org/article/10.1088/1755-1315/260/1/012069/meta.

[8] Razi, N.M., Nasir, M., Khalidin, K., Savira, D., Najmi, I., Mahfud, M., Muchlisin, Z.A. (2023). The diversity, distribution, biomass, and conservation status of ichthyofauna of the Singkil peat swamp in Aceh province, Indonesia. Biodiversitas Journal of Biological Diversity, 24(12): 6661-6674. https://doi.org/10.13057/biodiv/d241228

[9] Nurmalitasari, M., Sudarsono, S. (2023). Keanekaragaman plankton dan tingkat produktivitas primer antara dua musim di perairan Kabupaten Bantul. Kingdom (The Journal of Biological Studies), 9(1): 16-34. https://doi.org/10.21831/kingdom.v9i1.18156

[10] Naselli-Flores, L., Padisák, J. (2023). Ecosystem services provided by marine and freshwater phytoplankton. Hydrobiologia, 850(12): 2691-2706. https://doi.org/10.1007/s10750-022-04795-y

[11] Anshary, P. (2018). Bioekologi dan reproduksi ikan betok (Anabas testudineus Bloch 1792) di Rawa Monoton. MBUnivPress. https://books.google.co.id/.

[12] Ma, M., Hu, Q. (2023). Microalgae as feed sources and feed additives for sustainable aquaculture: Prospects and challenges. Reviews in Aquaculture, 16(2): 818-835. https://doi.org/10.1111/raq.12869

[13] Di Pane, J., Bourdaud, P., Horn, S., Moreno, H.D., Meunier, C.L. (2024). Global change alters coastal plankton food webs by promoting the microbial loop: An inverse modelling and network analysis approach on a mesocosm experiment. Science of The Total Environment, 921(171272): 1-12. https://doi.org/10.1016/j.scitotenv.2024.171272

[14] Nugraheni, A.D., Zainuri, M., Wirasatriya, A., Maslukah, L. (2022). Sebaran Klorofil-a secara Horizontal di perairan muara sungai jajar, Demak. Buletin Oseanografi Marina, 11(2): 221-230. https://doi.org/10.14710/buloma.v11i2.40004

[15] Pratiwi, D., Oktavia, D., Sumiarsa, D., Sunardi, S. (2023). Influences of zonation on water fertility and structure communities of phytoplankton and benthos in Batukaras Mangrove Forest, Pangandaran District, Indonesia. Biodiversitas Journal of Biological Diversity, 24(9): 4978-4988. https://doi.org/10.13057/biodiv/d240941

[16] Palupi, M., Wijaya, R., Chanda, R.A., Azhari, R.F., Fitriadi, R. (2023). Biodiversity and abundance of phytoplankton in rice-fish farming system. Iraqi Journal of Agricultural Sciences, 54(4): 1084-1093. https://doi.org/10.36103/ijas.v54i4.1800

[17] Zainuri, M., Indriyawati, N, Syarifah, W, Fitriyah, A. (2023). Korelasi intensitas cahaya dan suhu terhadap kelimpahan fitoplankton di Perairan Estuari Ujung Piring Bangkalan. Buletin Oseanografi Marina, 12(1): 20-26. https://doi.org/10.14710/buloma.v12i1.44763

[18] Sofyan, R., Iqbar, I., Moulana, R. (2020). Pengimplementasian SMART patrol terhadap aktivitas illegal (Pembalakan dan Perambahan) di kawasan konservasi suaka margasatwa Rawa Singkil. Jurnal Ilmiah Mahasiswa Pertanian, 5(3): 43-49. https://doi.org/10.17969/jimfp.v5i3.14843

[19] Alina, A.A., Soeprobowati, T.R., Muhammad, F. (2015). Kualitas air rawa jombor klaten, Jawa Tengah berdasarkan komunitas fitoplankton. Jurnal Akademika Biologi, 4(3): 41-52. https://ejournal3.undip.ac.id/index.php/biologi/article/view/19418.

[20] Bockwoldt, K.A., Nodine, E.R., Mihuc, T.B., Shambaugh, A.D., Stockwell, J.D. (2017). Reduced phytoplankton and zooplankton diversity associated with increased cyanobacteria in Lake Champlain, USA. Journal of Contemporary Water Research & Education, 160(1): 100-118. https://doi.org/10.1111/j.1936-704X.2017.03243.x

[21] Sulastri, S., Henny, C., Nomosatryo, S. (2019). Phytoplankton diversity and trophic status of lake Maninjau, West Sumatra, Indonesia. Prosiding Seminar Nasional Masyarakat Biodiversitas Indonesia, 5(2): 242-250. https://doi.org/10.13057/psnmbi/m050217

[22] Zhang, Y., Whalen, J.K., Cai, C., Shan, K., Zhou, H. (2023). Harmful cyanobacteria-diatom/dinoflagellate blooms and their cyanotoxins in freshwaters: A nonnegligible chronic health and ecological hazard. Water Research, 233: 119807. https://doi.org/10.1016/j.watres.2023.119807

[23] Berdalet, E., Chinain, M., Kirkpatrick, B., Tester, P.A. (2023). Harmful algal blooms cause ocean illnesses affecting human health. In Oceans and Human Health, Academic Press, pp. 289-314. https://doi.org/10.1016/B978-0-323-95227-9.00020-8

[24] Sugianto, S., Muslih, A., Ar-Rasyid, U., Anhar, A. (2021). Vegetation analysis of Rawa Singkil wildlife reserve in rantau gedang village, Singkil distric, Aceh Singkil Regency, Aceh province. IOP Conference Series: Earth and Environmental Science, 667(1): 012068. https://doi.org/10.1088/1755-1315/667/1/012068

[25] Darmawan, F. (2024). Struktur komunitas vegetasi di kawasan rawa gambut singkil. Dissertation. Skripsi Jurusan Ilmu Kelautan, Universitas Syiah Kuala, Banda Aceh.

[26] Khalidin, K., Muchlisin, Z.A., Firdus, F., Razi, N.M., Savira, D., Najmi, I., Mahfud, M., Dermawan, F. (2024). Morphometric variations and length-weight relationships of chue snail Faunus ater (Linnaeus, 1758) in the southwest coast estuary of Aceh, Indonesia. IOP Conference Series: Earth and Environmental Science, 1356(1): 012100. https://doi.org/10.1088/1755-1315/1356/1/012100

[27] Tomas, R.C. (1997). Identifying marine phytoplankton. Academic Press. USA.

[28] Hasle, G.R., Syvertsen, E.E., Steidinger, K.A., Tangen, K., Tomas, C.R. (1996). Identifying marine diatoms and dinoflagellates. Elsevier. California, USA.

[29] Verlencar, X.N. (2004). Phytoplankton Identification Manual. National Institute of Oceanography, Dona Paula. https://drs.nio.res.in/drs/bitstream/handle/2264/97/Phytoplankton-manual.PDF?sequence=1, accessed on Aug. 5, 2024.

[30] APHA. (2017). Standard methods for the examination of water and wastewater. Baird, R.B., Eaton, A.D., Rice, E.W. (eds.) American Public Health Association, Washington. https://www.academia.edu/105197442/Standard_Methods_For_the_Examination_23th_edition?auto=download, accessed on Aug. 5, 2024.

[31] Krebs, C.J. (2001). Ecology: The Experimental Analysis of Distribution and Abundance, 3th ed. Harper & Row Publisher, New York.

[32] Odum, E.P., Barret, G.W. (1993). Fundamental of Ecology. Cengage Learning, Australia.

[33] Somerfield, P.J., Clarke, K.R., Warwick, R.M. (2008). Simpson Index. In: Encyclopedia of Ecology, pp. 3252-3255.

[34] Magurran, A.E. (1988). Ecological Diversity and Its Measurement. Princeton University Press, New Jersey, USA.

[35] Brower, J.E., Zar, J.H., Von Ende, C.N. (1990). Field and Laboratory Methods for General Ecology. WC Brown Publisher, Kerper Boulevard, USA.

[36] Rasyid, H. Al, Purnama, D., Kusuma, A.B. (2018). Pemanfaatan fitoplankton sebagai bioindikator kualitas air di perairan Muara Sungai Hitam Kabupaten Bengkulu Tengah Provinsi Bengkulu. Jurnal Enggano, 3(1): 39-51. https://doi.org/10.31186/jenggano.3.1.39-51

[37] Astriana, B.H., Putra, A.P., Junaidi, M. (2022). Kelimpahan fitoplankton sebagai indikator kualitas perairan di perairan Laut Labangka, Kabupaten Sumbawa. Jurnal Perikanan Unram, 12(4): 710-721. https://doi.org/10.29303/jp.v12i4.400

[38] Skorobogatova, O.N., Semochkina, M.A., Yumagulova, E.R. (2022). Algae and cyanoprokaryotes in raised swamps of KMAO-Yugra, Russia. IOP Conference Series: Earth and Environmental Science, 1093(1): 012002. https://doi.org/10.1088/17551315/10931/012002

[39] Suwignyo, R.A., Hanafiahand, Z., Faizal, M. (2020). The abundance and diversity of plankton on peat swamps area Ogan Komering Ilir (OKI) Regency, South Sumatera. IOP Conference Series: Earth and Environmental Science, 584(1): 012046. https://doi.org/10.1088/1755-1315/584/1/012046

[40] Heramza, K., Barour, C., Djabourabi, A., Khati, W., Bouallag, C. (2021). Environmental parameters and diversity of diatoms in the Aïn Dalia dam, Northeast of Algeria. Biodiversitas Journal of Biological Diversity, 22(9). https://doi.org/10.13057/biodiv/d220901

[41] Saxena, A., Tiwari, A., Kaushik, R., Iqbal, H.M., Parra-Saldívar, R. (2021). Diatoms recovery from wastewater: Overview from an ecological and economic perspective. Journal of Water Process Engineering, 39: 101705. https://doi.org/10.1016/j.jwpe.2020.101705

[42] Juwiyatri, E., Pribadi, A., Fithratullah, R. (2023). Keanekaragaman plankton di danau ceramin bekas tambang intan Banjarbaru. Syntax Literate Jurnal Ilmiah Indonesia, 8(9): 5311-5321. http://doi.org/10.36418/syntax-literate.v6i6

[43] Prabowo, A., Simarmata, A.H., Madju Siagian, M. (2016). Types and abundance of phytoplankton of the Boko-Boko peat swamp in the Langgam Village, Langgam District, Pelalawan Regency, Riau Province. Jurnal Jom Faperika Unri, 3(2): 1-12. https://jom.unri.ac.id/index.php/JOMFAPERIKA/article/view/11872.

[44] Neto, A.I., Pinto, I.S. (2019). Introduction to the marine algae. Marine Macro-and Microalgae, 1. http://www.crcpress.com.

[45] Dewi, A.N., Endrawati, H., Widianingsih, W. (2023). Kajian distribusi fitoplankton kaitannya dengan kesuburan perairan Pantai Kartini dan Muara Wiso Jepara. Journal of Marine Research, 12(2): 275-282. https://doi.org/10.14710/jmr.v12i2.35240

[46] Musafira, F., Khairunnisa, K. (2023). Analisis kesuburan perairan di Krueng Geukuh, Aceh Utara berdasarkan sebaran nitrat dan fosfat terhadap kelimpahan fitoplankton. Jurnal Kelautan dan Perikanan Indonesia, 3(2): 66-78. https://doi.org/10.24815/jkpi.v3i2.32738

[47] Sidomukti, G.C., Wardhana, W. (2021). Penerapan metode storet dan indeks diversitas fitoplankton dari shannon-wiener sebagai indikator kualitas perairan situ Rawa Kalong Depok, Jawa Barat. Jurnal Teknologi, 14(1): 28-38. https://doi.org/10.34151/jurtek.v14i1.3543

[48] Rafitri, R., Setyawati, T.R., Yanti, A.H. (2015). Struktur komunitas fitoplankton di perairan gambut sungai ambawang desa pancaroba Kecamatan Sungai Ambawang Kabupaten Kubu Raya. Jurnal Protobiont, 4(1): 253-259. https://doi.org/10.26418/protobiont.v4i1.9793

[49] Effiong, K.S., Inyang, A.I., Robert, U.U. (2018). Spatial distribution and diversity of phytoplankton community in Eastern Obolo River Estuary, Niger Delta. Journal of Oceanography and Marine Science, 9(1): 1-14. https://doi.org/10.5897/JOMS2016.0139

[50] Harmoko, H., dan Krisnawati, Y. (2018). Mikroalga divisi Bacillariophyta yang ditemukan di Danau Aur Kabupaten Musi Rawas. Jurnal Biologi UNAND, 6(1): 30-35. https://doi.org/10.25077/jbioua.6.1.30-35.2018

[51] Widiyanti, W.E., Iskandar, Z., Herawati, H. (2021). Distribusi spasial plankton di Sungai Cilalawi, Purwakarta, Provinsi Jawa Barat. Limnotek: Perairan Darat Tropis di Indonesia, 27(2): 117-130. https://doi.org/10.14203/limnotek.v27i2.299

[52] Pratiwi, N.T.M., Wulandari, D.Y., Iswantari, A. (2016). Horizontal distribution of zooplankton in Tangerang coastal waters, Indonesia. Procedia Environmental Sciences, 33: 470-477. https://doi.org/10.1016/j.proenv.2016.03.099

[53] Chai, C., Jiang, T., Cen, J., Ge, W Lu, S. (2016). Phytoplankton pigments and functional community structure in relation to environmental factors in the pearl river estuary. Oceanologia, 58(3): 201-211. https://doi.org/10.1016/j.oceano.2016.03.001