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SPATIAL DISTRIBUTION AND STRUCTURE OF PHYTOPLANKTON COMMUNITIES THAT HAVE THE POTENTIAL TO CAUSE HARMFUL ALGAE BLOOMS (HABS) IN THE WATERS OF LAIKANG BAY, SOUTH SULAWESI

Jurnal Ilmu Kelautan SPERMONDE · Vol. UME (2024) · pp. 16–24

DOI
10.20956/jiks.v10i2.19515
ISSN
2614-5049, 2460-0156
Published
2024-08-05
Publisher
Hasanuddin University
Language
en
License
creativecommons.org/licenses/by-nc/4.0

Abstract

The presence of nutrients such as nitrate and phosphate can have a positive impact on phytoplankton growth. However, if the nutrient concentration is very high in the waters, it can cause an explosion in the phytoplankton population or Harmful Algae Blooms (HABs) in the waters. Phytoplankton explosions in waters have a negative impact on the surrounding ecosystem, marine biota, and humans. This research aimed to analyze the spatial distribution and structure of phytoplankton communities that can potentially cause HABs in the waters of Laikang Bay, South Sulawesi. This research was conducted in June 2021. The research found 20 species of phytoplankton HABs from 2 classes, namely Bacillariophyceae (8 types) and Dinophyceae (12 species). The Bacillariophyceae class has a higher percentage, 93%, and Dinophyceae at 7%. The abundance status of phytoplankton HABs is classified as not blooming, with the highest abundance found at Station 4 (control), namely 210 ± 80 cells/L. The HABs phytoplankton diversity index (H') is moderate with a value of 1.576 – 2.332, the uniformity index (E) of Station 1 (west) and Station 4 (control) is moderate with a value of 0.568 and 0.582 while Station 2 (north) and Station 3 (south) is classified as high, namely 0.807 and 0.823, the dominance index (D) is classified as low with a value of 0.135 – 0.357. Spatially, phytoplankton HABs based on the station can be divided into five groups. The results of the PCA analysis show that substations 1.A, 1.B, 1.C, 2.A, 2.B, and 2. C are characterized by high temperature and salinity parameters. Substations 3.A, 3.B, and 3.C are characterized by high nitrate and phosphate parameters. Meanwhile, substations 4.A, 4.B, and 4.C are characterized by high parameters of brightness, current speed, and pH and are associated with a high abundance of phytoplankton HABs.

Keywords

Collaboration network of the authors

40 authors · 166 co-authorship links · showing the 40 most connected

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  • Hasanuddin University
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Show as table
Co-authorOrganisationJoint articles
Ahmad FaizalHasanuddin University5
Abdul HarisHasanuddin University5
Muh. Farid SamawiHasanuddin University4
Shinta WerorilangiHasanuddin University4
Akbar TahirHasanuddin University4
Amir Hamzah MuhiddinHasanuddin University3
Andi Iqbal BurhanuddinHasanuddin University3
Wasir SamadHasanuddin University2
Muh IsmanHasanuddin University2
Syafyudin YusufHasanuddin University2
Mahatma LanuruHasanuddin University2
Arniati ArniatiAffiliation unknown2
Yayu Anugrah La NafieHasanuddin University2
Parman ParakkasiHasanuddin University2
Rajuddin SyamsuddinHasanuddin University2
Khairul AmriHasanuddin University2
I YasirHasanuddin University2
Jamaluddin JompaHasanuddin University1
Muhammad Natsir NessaAffiliation unknown1
Rastina RastinaHasanuddin University1
Muhammad Farid SamawiHasanuddin University1
Muhammad Anshar AmranHasanuddin University1
Astrid W. JunaidiHasanuddin University1
Mahmudin MahmudinHasanuddin University1
Hamzah HamzahHasanuddin University1
Joeharnani TresnatiAffiliation unknown1
Ambo TuwoAffiliation unknown1
Aidah A. Ala HusainAffiliation unknown1
Lorenzo Noris Tombi Bara`langi`Affiliation unknown1
Fitriani FitrianiAffiliation unknown1
Syafyudin YusufAffiliation unknown1
Abd RasyidAffiliation unknown1
Supriadi MashorengHasanuddin University1
Nuryani Khadijah SyahputriHasanuddin University1
Muh. SyahrulAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jiks/oai, first harvested 4 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">SPATIAL DISTRIBUTION AND STRUCTURE OF PHYTOPLANKTON COMMUNITIES THAT HAVE THE POTENTIAL TO CAUSE HARMFUL ALGAE BLOOMS (HABS) IN THE WATERS OF LAIKANG BAY, SOUTH SULAWESI</dc:title>
	<dc:creator xml:lang="en">Trimurti, Fadilla</dc:creator>
	<dc:creator xml:lang="en">Tambaru, Rahmadi</dc:creator>
	<dc:creator xml:lang="en">Hatta, Muh. </dc:creator>
	<dc:creator xml:lang="en">Samawi, Muh Farid </dc:creator>
	<dc:creator xml:lang="en">Rani, Chair </dc:creator>
	<dc:subject xml:lang="en">Phytoplankton, HABs, Laikang Bay</dc:subject>
	<dc:description xml:lang="en">The presence of nutrients such as nitrate and phosphate can have a positive impact on phytoplankton growth. However, if the nutrient concentration is very high in the waters, it can cause an explosion in the phytoplankton population or Harmful Algae Blooms (HABs) in the waters. Phytoplankton explosions in waters have a negative impact on the surrounding ecosystem, marine biota, and humans. This research aimed to analyze the spatial distribution and structure of phytoplankton communities that can potentially cause HABs in the waters of Laikang Bay, South Sulawesi. This research was conducted in June 2021. The research found 20 species of phytoplankton HABs from 2 classes, namely Bacillariophyceae (8 types) and Dinophyceae (12 species). The Bacillariophyceae class has a higher percentage, 93%, and Dinophyceae at 7%. The abundance status of phytoplankton HABs is classified as not blooming, with the highest abundance found at Station 4 (control), namely 210 ± 80 cells/L. The HABs phytoplankton diversity index (H') is moderate with a value of 1.576 – 2.332, the uniformity index (E) of Station 1 (west) and Station 4 (control) is moderate with a value of 0.568 and 0.582 while Station 2 (north) and Station 3 (south) is classified as high, namely 0.807 and 0.823, the dominance index (D) is classified as low with a value of 0.135 – 0.357. Spatially, phytoplankton HABs based on the station can be divided into five groups. The results of the PCA analysis show that substations 1.A, 1.B, 1.C, 2.A, 2.B, and 2. C are characterized by high temperature and salinity parameters. Substations 3.A, 3.B, and 3.C are characterized by high nitrate and phosphate parameters. Meanwhile, substations 4.A, 4.B, and 4.C are characterized by high parameters of brightness, current speed, and pH and are associated with a high abundance of phytoplankton HABs.
 </dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2024-08-05</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jiks/article/view/19515</dc:identifier>
	<dc:identifier>10.20956/jiks.v10i2.19515</dc:identifier>
	<dc:source xml:lang="en">Jurnal Ilmu Kelautan SPERMONDE; VOLUME 10 NUMBER 2, 2024; 16-24</dc:source>
	<dc:source>2614-5049</dc:source>
	<dc:source>2460-0156</dc:source>
	<dc:source>10.20956/jiks.v10i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jiks/article/view/19515/11801</dc:relation>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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