Sustainability analysis on fisheries resources of tidal marsh in Barito Kuala district, South Kalimantan

Paper Details

Research Paper 01/06/2014
Views (621)
current_issue_feature_image
publication_file

Sustainability analysis on fisheries resources of tidal marsh in Barito Kuala district, South Kalimantan

Rahmanuddin, Soemarno, Marsoedi, Bambang Djoko Priatmadi
J. Biodiv. & Environ. Sci. 4(6), 79-91, June 2014.
Copyright Statement: Copyright 2014; The Author(s).
License: CC BY-NC 4.0

Abstract

Barito Kuala district is a region that is mainly composed of tidal marsh. Marsh area is a crucial area for agropolitan development on fisheries resources. With the current issues of land use converted function, we need to assess the sustainability level of the marsh area. This study aimed to assess the sustainability of tidal marsh fishery resources in the Barito Kuala district based on five dimensions of sustainability, i.e. ecological, economic, socio-cultural, technology, as well as legal and institutional dimensions. We used Multi-Dimensional Scaling (MDS) approach which was called Rap-Batola and the results were expressed in index and status of sustainability. The results showed that the Kuripan Sub-district has the highest sustainability index (59,37) compared to the Marabahan Sub-district (59,27) and Cerbon Sub-district (58,21). However, in general it can be stated that the fishery resources of tidal marsh in three sub-district areas were quite sustainable. Thus it can be stated that the fisheries resources of tidal marsh in the Barito Kuala district has sustained sufficient status.

Abdurachman A, Sudarman K, Suriadikarta DA. 1999. Tidal marsh development: success and failure in terms of physico-chemical of tidal marsh. In: Abranet et al., Eds. Proceedings of the national seminar on supporting research of Tidal land development acceleration, Balittra, Banjarbaru.

Ahiablame L, Chaubey I, Smith D. 2010. Nutrient content at the sediment-water interface of tile-fed agricultural drainage ditches. Water 2, 411-428. Doi:10.3390/ w2030411.

Fauzi A, Anna S. 2003. Depreciation assessment materials fishery resources fisheries development policy consideration determination. Journal of Coastal and Marine 4 (2), 36-49.

Fauzi A. 2000. Training of RAPFISH (multi dimensional scaling). Center of Resource Economics and Policy Studies (CREPS), Bogor.

Forestry and Plantation Department of Barito Kuala District. 2010. Forestry and plantation. http://v6.baritokualakab.go.id/index.php/pembangunan/sumber-dayaalam/kehutanan-perkebunan. Accessed March 2014.

Grygoruk M, Mirosław-Świątek D, Chrzanowska W, Ignar S. 2013. How much for water? Economic assessment and mapping of floodplain water storage as a catchment-scale ecosystem service of wetlands. Water 5, 1760-1779. Doi: 10.3390/ w501760.

Huey GM, Meyer ML. 2010. Turbidity as an indicator of water quality in diverse watersheds of the upper Pecos River Basin. Water 2, 273-284. Doi:10.3390 /w2020273.

Kavanagh P. 2001. Rapid Appraisal of Fisheries (RAPFISH) Project: RAPFISH Software Description (for Microsoft Excel). University of British Columbia, Fisheries Centre, Vancouver.

Ridwan A, Djadja SS, Rahardjo MP, Sulistiono. 2004. Fish physiology (digestion and feed absorption). Department of Fisheries Resources Management. Faculty of Fisheries and Marine Sciences. Bogor Agricultural University, Bogor.

Salihoglu B, Sevinc N. 2013. Quantification of the synergistic effects of eutrophication, apex predator pressure, and internal processes on the black sea ecosystem. Turkish Journal of Fisheries and Aquatic Sciences 13, 581-592. DOI: 10.4194/1303-2712-v13_4_03.

Salusu J. 2006. Decision making process planning, development planning module. Center of Development Policy and Management, LPPM. Hasanuddin University, Makassar.

Spence I, Young FW. 1978. Monte Carlo studies in nonmetric scaling. Phycometrica 43 (1), 75-89.

Susilo SB. 2003. Land suitability analysis of land use and coastal zone policy Balikpapan Bay. Jurnal Pesisir dan Lautan 3 (2), 1-16.

Tejoyowono N. 2006. Policy pattern of wetland, swamp and coastal resources. Scientific Seminar of 25th Dies Natalis of University of Jember, Jember.

Xiang N, Jinghua S, Jingjing Y, Feng X. 2014. Dynamic modeling and simulation of water environment management with a focus on water recycling. Water 6, 17-31. Doi:10.3390/w6010017.

Related Articles

Surveillance and detection of African swine fever on abbatoir in different municipalities of third district of Cagayan, Philippines

Maricel F. Campanano, John Michael M. Melad, Mary Ann M. Santos*, J. Biodiv. & Environ. Sci. 28(4), 65-72, April 2026.

Mobile-based potato leaf disease identifier using ensemble modeling

Karen W. Cantilang*, Laarni M. Ladiao, J. Biodiv. & Environ. Sci. 28(4), 58-64, April 2026.

Diagnostic analysis of pig farms in the North of Côte d’Ivoire: Case of the commune of Korhogo

Seni Kouadio Sylvain*, Kadjo Vincent, Alla Konan Jean Bedel, Yao Koffi Sylvanus Aubert, N’glouan Wadjé Jérôme, Soro Ouation Souleymane, Kouassi Koffi Dongo, J. Biodiv. & Environ. Sci. 28(4), 48-57, April 2026.

Coral reef condition in Illana Bay, Zamboanga del Sur, Philippines: Basis for conservation management

Ruel S. Lasagas, Rosanilio M. Yagos*, Edgardo H. Rosales, J. Biodiv. & Environ. Sci. 28(4), 40-47, April 2026.

Preliminary floral and faunal species diversity in Maluyo River in Santol, La Union, Philippines

Judith M. Morales*, Analyn V. Sagun, Angelina T. Gonzales, J. Biodiv. & Environ. Sci. 28(4), 26-39, April 2026.

Challenges and impact of the farmer-scientists training program on community development in Bohol, Philippines

Jeffrey O. Awas*, Anabel J. Intong, Aida T. Salingay, Manolito C. Macalolot, J. Biodiv. & Environ. Sci. 28(4), 8-25, April 2026.

Preliminary yield and growth performance of rice (var nsic rc222) applied with Bacillus spp. based bio-fertilizer

Ronneil B. Alminar*, Analyn V. Sagun, Angelina T. Gonzales, J. Biodiv. & Environ. Sci. 28(3), 39-48, March 2026.