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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

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40 authors · 163 co-authorship links · showing the 40 most connected

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Co-authorOrganisationJoint articles
Ahmad FaizalAffiliation unknown7
Abdul HarisAffiliation unknown6
Shinta WerorilangiAffiliation unknown6
Akbar TahirAffiliation unknown5
Syafyudin YusufAffiliation unknown4
Arniati ArniatiAffiliation unknown4
Amir Hamzah MuhiddinAffiliation unknown4
Supriadi MashorengAffiliation unknown3
Mahatma LanuruAffiliation unknown3
Andi Iqbal BurhanuddinAffiliation unknown3
Hamzah HamzahAffiliation unknown2
Jamaluddin JompaAffiliation unknown2
Muh IsmanAffiliation unknown2
Khairul AmriAffiliation unknown2
Parman ParakkasiAffiliation unknown2
Rajuddin SyamsuddinAffiliation unknown2
Inayah YasirAffiliation unknown2
Suwarni SuwarniAffiliation unknown1
Rohani Ambo RappeAffiliation unknown1
Yayu A La NafieAffiliation unknown1
Muh. Banda SelamatAffiliation unknown1
Rasyid JalilAffiliation unknown1
Muh LukmanAffiliation unknown1
Farid SamawiAffiliation unknown1
Ahmad FaisalAffiliation unknown1
M Natsir NessaAffiliation unknown1
Rastina RastinaAffiliation unknown1
Muhammad Farid SamawiAffiliation unknown1
Muhammad Anshar AmranAffiliation unknown1
Wasir Samad DamingAffiliation unknown1
Yayu A. La Nafie La NafieAffiliation unknown1
Astrid W. JunaidiAffiliation unknown1
Mahmudin MahmudinAffiliation unknown1
Lorenzo Noris Tombi Bara'langi'Affiliation unknown1
Ambo TuwoAffiliation 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 4 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>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<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>
</oai_dc:dc>