Mariculture site selection based on water quality, cultivation and ecological condition
BACKGROUND AND OBJECTIVES: Choosing a location for mariculture is very important because it affects water quality, while problems that affect cultivation and the environment can be avoided by choosing the right location. The objective of this study is to develop a methodological strategy for integra...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
GJESM Publisher
2025-01-01
|
| Series: | Global Journal of Environmental Science and Management |
| Subjects: | |
| Online Access: | https://www.gjesm.net/article_718783_c13d686a642b5f4eb89fda8c8377ccc6.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846115199647481856 |
|---|---|
| author | T.K. Arifin Y. Yulius M. Ramdhan O. Johan D.P. Gunawan A. Heriati E. Mustikasari R. Rahmania D. Purbani I. Dillenia S.B. Agus R. Asaf M. Hatta I. Marzuki R. Akhwady A. Sufyan H. Fihrin E. Septiningsih A. Wahyono A. Athirah |
| author_facet | T.K. Arifin Y. Yulius M. Ramdhan O. Johan D.P. Gunawan A. Heriati E. Mustikasari R. Rahmania D. Purbani I. Dillenia S.B. Agus R. Asaf M. Hatta I. Marzuki R. Akhwady A. Sufyan H. Fihrin E. Septiningsih A. Wahyono A. Athirah |
| author_sort | T.K. Arifin |
| collection | DOAJ |
| description | BACKGROUND AND OBJECTIVES: Choosing a location for mariculture is very important because it affects water quality, while problems that affect cultivation and the environment can be avoided by choosing the right location. The objective of this study is to develop a methodological strategy for integrating and analyzing spatial data, which will facilitate the identification of optimal locations for mariculture. In this context, the ecosystem approach to mariculture is analyzed with an emphasis on evaluating water quality conditions and determining primary productivity values.METHODS: Water quality parameter data was analyzed using principal component analysis, values, and distribution of primary productivity using the kriging interpolation method using geographic information system. Spatial analysis employing Geographic Information System applications is used to evaluate the appropriateness of locations for mariculture.FINDINGS: The distribution pattern of primary productivity is strongly influenced by the distribution of phytoplankton and the highest concentration values are located in coastal waters and small islands. The analysis identified three primary components that account for 79.64 percent of the results. The most influential factors include suspended particulate matters, nitrate, temperature, salinity, ammonia, current, and water transparency. According to the study results, the principal component values indicate that the most affected regions by pollutant pressure are agricultural lands that drain into rivers and watersheds, along with coastal residential neighborhoods.CONCLUSION: The status of water quality is the main limiting factor in determining the location of mariculture, therefore it is necessary to relocate existing mariculture, improve agricultural cultivation techniques, and/or regulate the use of pesticides that not carried out during the rainy season. These findings may assist the appropriate authorities in the selection and oversight of mariculture sites. The innovative aspect of this study lies in its focus on adaptive management of sustainable marine cultivation, designed to align with regional conditions and promote ecological health alongside the socio-economic prosperity of local communities. |
| format | Article |
| id | doaj-art-d5b59c8e246f4b91b92f70f23f0b93db |
| institution | Kabale University |
| issn | 2383-3572 2383-3866 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj-art-d5b59c8e246f4b91b92f70f23f0b93db2024-12-19T17:58:54ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662025-01-0111110.22034/gjesm.2025.01.08718783Mariculture site selection based on water quality, cultivation and ecological conditionT.K. Arifin0Y. Yulius1M. Ramdhan2O. Johan3D.P. Gunawan4A. Heriati5E. Mustikasari6R. Rahmania7D. Purbani8I. Dillenia9S.B. Agus10R. Asaf11M. Hatta12I. Marzuki13R. Akhwady14A. Sufyan15H. Fihrin16E. Septiningsih17A. Wahyono18A. Athirah19Research Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Geoinformatics, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Limnology and Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaFaculty of Fisheries and Marine Sciences, IPB University, Bogor, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaFaculty of Marine and Fisheries Sciences of Hasanuddin University, Makassar, IndonesiaOrganic Chemistry, Environmental Chemistry and Bioremediation Laboratory, Chemical Engineering Department, Fajar University, Jl. Professor Abdurrahman Basalamah, Panakkukang, Makassar, 90231, South Sulawesi, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaFaculty of Mathematics and Natural Science, Tadulako University, Palu, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaResearch Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency, Jl. M.H. Thamrin Jakarta, IndonesiaBACKGROUND AND OBJECTIVES: Choosing a location for mariculture is very important because it affects water quality, while problems that affect cultivation and the environment can be avoided by choosing the right location. The objective of this study is to develop a methodological strategy for integrating and analyzing spatial data, which will facilitate the identification of optimal locations for mariculture. In this context, the ecosystem approach to mariculture is analyzed with an emphasis on evaluating water quality conditions and determining primary productivity values.METHODS: Water quality parameter data was analyzed using principal component analysis, values, and distribution of primary productivity using the kriging interpolation method using geographic information system. Spatial analysis employing Geographic Information System applications is used to evaluate the appropriateness of locations for mariculture.FINDINGS: The distribution pattern of primary productivity is strongly influenced by the distribution of phytoplankton and the highest concentration values are located in coastal waters and small islands. The analysis identified three primary components that account for 79.64 percent of the results. The most influential factors include suspended particulate matters, nitrate, temperature, salinity, ammonia, current, and water transparency. According to the study results, the principal component values indicate that the most affected regions by pollutant pressure are agricultural lands that drain into rivers and watersheds, along with coastal residential neighborhoods.CONCLUSION: The status of water quality is the main limiting factor in determining the location of mariculture, therefore it is necessary to relocate existing mariculture, improve agricultural cultivation techniques, and/or regulate the use of pesticides that not carried out during the rainy season. These findings may assist the appropriate authorities in the selection and oversight of mariculture sites. The innovative aspect of this study lies in its focus on adaptive management of sustainable marine cultivation, designed to align with regional conditions and promote ecological health alongside the socio-economic prosperity of local communities.https://www.gjesm.net/article_718783_c13d686a642b5f4eb89fda8c8377ccc6.pdfgeographic information system (gis)maricultureprincipal component analysis (pca)primary productivitywater quality |
| spellingShingle | T.K. Arifin Y. Yulius M. Ramdhan O. Johan D.P. Gunawan A. Heriati E. Mustikasari R. Rahmania D. Purbani I. Dillenia S.B. Agus R. Asaf M. Hatta I. Marzuki R. Akhwady A. Sufyan H. Fihrin E. Septiningsih A. Wahyono A. Athirah Mariculture site selection based on water quality, cultivation and ecological condition Global Journal of Environmental Science and Management geographic information system (gis) mariculture principal component analysis (pca) primary productivity water quality |
| title | Mariculture site selection based on water quality, cultivation and ecological condition |
| title_full | Mariculture site selection based on water quality, cultivation and ecological condition |
| title_fullStr | Mariculture site selection based on water quality, cultivation and ecological condition |
| title_full_unstemmed | Mariculture site selection based on water quality, cultivation and ecological condition |
| title_short | Mariculture site selection based on water quality, cultivation and ecological condition |
| title_sort | mariculture site selection based on water quality cultivation and ecological condition |
| topic | geographic information system (gis) mariculture principal component analysis (pca) primary productivity water quality |
| url | https://www.gjesm.net/article_718783_c13d686a642b5f4eb89fda8c8377ccc6.pdf |
| work_keys_str_mv | AT tkarifin mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT yyulius mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT mramdhan mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT ojohan mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT dpgunawan mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT aheriati mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT emustikasari mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT rrahmania mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT dpurbani mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT idillenia mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT sbagus mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT rasaf mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT mhatta mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT imarzuki mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT rakhwady mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT asufyan mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT hfihrin mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT eseptiningsih mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT awahyono mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition AT aathirah mariculturesiteselectionbasedonwaterqualitycultivationandecologicalcondition |