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Correlation of Bio-physicochemical Factors with the Expansion of Mangrove Forests in Laikang Bay, Indonesia

ILMU KELAUTAN: Indonesian Journal of Marine Sciences · Vol. 29 No. 4 (2024) · hlm. 467–480

DOI
10.14710/ik.ijms.29.4.467-480
ISSN
2406-7598, 0853-7291
Terbit
2024-12-11
Penerbit
Marine Science Department Diponegoro University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The bio-physicochemical conditions of seawater are critically important in the rate of expansion of mangrove forests. This study aims to assess the driving factors of mangrove forest expansion with bio-physicochemical water quality analysis using the Maximum Entropy (MaxEnt) method in Laikang Bay, Indonesia. Water quality analysis included measurements of NO3, PO4, kH, salinity, current speed, brightness (D3), NO2, pH, and chlorophyll-a levels (bio-physicochemical factors). This research adopts quantitative methods, with data collected from 42 specific locations between 12:00 a.m. and 3:00 p.m. The observation data was gathered using the stratified random sampling method. Spatial distribution mapping of mangroves and observation data were analyzed using Euclidean nearest neighbor distance with ArcGIS software version 8.1. The MaxEnt method was applied to investigate the percentage contribution of water quality on the distribution of mangroves. The results of this study indicate that the most significant factor contributing to the growth and expansion of mangrove forests in Laikang Bay is the PO4 content, with a contribution value of 47.4%. The PO4 concentration ranges from 0.10 to 1.40 mg.100g-1, with a concentration of approximately 0.10 mg.100g-1 having the greatest impact. Meanwhile, the less influential factor is brightness (D3), with a contribution value of 0.3%. These results indicate that to maintain the growth and expansion of mangrove forests in Laikang Bay, it is necessary to maintain the levels of these influential variables.

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  • Universitas Bosowa
  • Khairun University
  • Universitas Jambi
  • Institut Teknologi dan Bisnis Maritim Balik Diwa
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Rekan penulisOrganisasiArtikel bersama
Muhammad Ro’il BiladAfiliasi tidak diketahui2
Indra CahyonoInstitut Teknologi dan Bisnis Maritim Balik Diwa2
Syafri SyafriUniversitas Bosowa2
Haeruddin SalehUniversitas Bosowa2
Dini RudiniUniversitas Jambi1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ejournal.undip.ac.id/index.php/ijms/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Correlation of Bio-physicochemical Factors with the Expansion of Mangrove Forests in Laikang Bay, Indonesia</dc:title>
	<dc:creator>Mulyani, Sri</dc:creator>
	<dc:creator>Surya, Batara</dc:creator>
	<dc:creator>Rasyidi, Emil Salim</dc:creator>
	<dc:creator>Muhibuddin, Andi</dc:creator>
	<dc:creator>Mahmud, Haris</dc:creator>
	<dc:subject xml:lang="en-US">Mangrove Expansion; Mangrove Ecosystem; Bio-physicochemical Factors; Water Quality; MaxEnt</dc:subject>
	<dc:description xml:lang="en-US">The bio-physicochemical conditions of seawater are critically important in the rate of expansion of mangrove forests. This study aims to assess the driving factors of mangrove forest expansion with bio-physicochemical water quality analysis using the Maximum Entropy (MaxEnt) method in Laikang Bay, Indonesia. Water quality analysis included measurements of NO3, PO4, kH, salinity, current speed, brightness (D3), NO2, pH, and chlorophyll-a levels (bio-physicochemical factors). This research adopts quantitative methods, with data collected from 42 specific locations between 12:00 a.m. and 3:00 p.m. The observation data was gathered using the stratified random sampling method. Spatial distribution mapping of mangroves and observation data were analyzed using Euclidean nearest neighbor distance with ArcGIS software version 8.1. The MaxEnt method was applied to investigate the percentage contribution of water quality on the distribution of mangroves. The results of this study indicate that the most significant factor contributing to the growth and expansion of mangrove forests in Laikang Bay is the PO4 content, with a contribution value of 47.4%. The PO4 concentration ranges from 0.10 to 1.40 mg.100g-1, with a concentration of approximately 0.10 mg.100g-1 having the greatest impact. Meanwhile, the less influential factor is brightness (D3), with a contribution value of 0.3%. These results indicate that to maintain the growth and expansion of mangrove forests in Laikang Bay, it is necessary to maintain the levels of these influential variables.</dc:description>
	<dc:publisher xml:lang="en-US">Marine Science Department Diponegoro University</dc:publisher>
	<dc:date>2024-12-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.undip.ac.id/index.php/ijms/article/view/65063</dc:identifier>
	<dc:identifier>10.14710/ik.ijms.29.4.467-480</dc:identifier>
	<dc:source xml:lang="en-US">ILMU KELAUTAN: Indonesian Journal of Marine Sciences; Vol 29, No 4 (2024): Ilmu Kelautan; 467-480</dc:source>
	<dc:source>2406-7598</dc:source>
	<dc:source>0853-7291</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.undip.ac.id/index.php/ijms/article/view/65063/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 ILMU KELAUTAN: Indonesian Journal of Marine Sciences</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>