Correlation between Mangrove and Aquaculture Production: Case Study in Sinjai District, Sulawesi

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1 Research Report International Journal of Aquaculture, 2013, Vol.3, No.14, Open Access Correlation between Mangrove and Aquaculture Production: Case Study in Sinjai District, Sulawesi Abdul Haris 1, Ario Damar 2, Dietriech Bengen 2, FredinanYulianda 2 1Muhammadiyah University of Makassar, South Sulawesi, Indonesia 2Graduate School of Bogor Agricultural University Corresponding author abdulharis200173@yahoo.com; Authors International Journal of Aquaculture, 2013, Vol.3, No.14 doi: /ija Received: 4 May, 2013 Accepted: 3 Jun., 2013 Published: 15 Jun., 2013 Copyright 2013 Haris. This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Haris, 2013, Correlation between Mangrove and Aquaculture Production: Case Study in Sinjai District, Sulawesi, International Journal of Aquaculture, Vol.3, No (doi: /ija ) Abstract Mangrove ecosystem generally accepted as nursery ground of variety if ahrimp and fish fries. The study has three objectives, namely to analyze the correlation (1) between mangrove percent ratio and primary product aquaculture, (2) between mangrove percent ratio and secondary product aquaculture, and (3) between direct benefit value mangrove ecosystem and coastal fisheries production. The research was carried out in Samataring village and Tongke village in East Sinjaisub-district, Sinjai district. Trend of fisheries data both from capture and aquaculture were analyzed, then compared with purposive sampling interview. Correlation and regression analysis were used to generate equations. The results of this research are as follows: (1) the correlation between mangrove ratio percentage and increased primary aquaculture produce negatively correlates and results in an equation of y=0.091x with R 2 =0.99, (2) mangrove ratio percentage and increased secondary aquaculture produce are positively correlated and results in an equation of y=0.016x with R 2 =0.99, and (3) Mangrove ecosystem direct benefit value and increased coastal catch produce positively correlate and result in an equation of y=0.485x with R 2 =0.99. Keywords Mangrove correlation; Aquaculture primary production; Aquaculture secondary production; Benefit value; Fisheries production Introduction If managed optimally and sustainably, a mangrove ecosystem is one of the coastal ecosystems that has avariety of benefits that can augment its surrounding community s welfare. Mangrove ecosystems are veryrich innutrients; therefore, they have the potential to increase the production of aquaculture and capture fisheries (Dahuri et al., 1996). Mangrove ecosystems have potentialtobe developed to increase aquaculture production and coastal fisheries catches. Aquaculture production positively correlates with the presence of mangrove ecosystems adjacent to the aquaculture area (Meilani, 1996). Consistent with this statement, Denila (1987) revealed that abundance of shrimp and fish fry along the coast of Sinjai District increases parallel with the increased size of mangrove ecosystem. This statement confirmed by Ronback (1999) who argued that increased economic value of ponds correlates with the presence of mangrove ecosystems neighboring the aquaculture ponds. The existence of mangrove ecosystems in coastal areas attractsa variety of organisms for both permanent 73 and temporary habitat purpose. A wide assortment of organisms come to mangrove ecosystems for different reasons, i.e. eating and spawning as well as refuge from natural threats such as current and waves and from other threats such as predation of larger organisms. Other organisms visit this ecosystem merely to fulfill their lifecycle. The presence of mangrove ecosystems in a particular aquaculture area can increase not only the produce of coastal fisheries and fisheries catch, but it can also increase biodiversity (Suprihartono, 2005). For the purpose of sustainable produce of aquaculture and biodiversity, the existence of mangrove ecosystem in the vicinity of coastal aquaculture areas must be preserved by the adoption of Silvofishery management. This type of management is an approach that merges conservation efforts into resource utilization efforts. This study aims to analyze the correlation between (1) mangrove ratio percent age and increased primary aquaculture produce, (2) mangrove ratio percent age and increased secondary aquaculture produce, (3) mangrove ecosystem direct benefit value and increased coastal

2 catch produce per Silvofishery ratio. 1 Result and Discussion 1.1 Overview Sinjaiis one of the coastal districts in South Sulawesi province, situated in the eastern part of South Sulawesi and borders Bone to the north, BoneBay waters to the east, South Bulukumba district to the south, and Gowadistrict to the west. Sinjai district has nine small islands called Nine Islands, and has a coastline spanning 31 km, 17 km of which lies along secondary the the main land and another 14 km surrounds the islands (Biro Pusat Statistik, 2010). Along the coastline there is a potential of mangrove ecosystems with total area of ha. spreads across three coastal sub-districts with sizes as follows: (1) NorthSinjai sub-district covering ha or 18.84%, (2) EastSinjai sub-district covering or 70.02%, and (3) Tellulimpoe sub-district covering an area of ha or 21.14% (Dinas Kelautan dan Perikanan Kabupaten Sinjai, 2010). In addition to mang roveeco systems, along the coast of Sinjai district there is a potential of aquaculture area of ha, yet until 2011 only ha of this area had been optimally utilized. This pond area is managed by different levels of technology packagesas follows: traditional plus 90%, 7.5% semi-intensive and intensive 2.5% respectively. The average of pond produce for shrimp is 241 kg ha -1 yr -1 and for milk fish 670 kg ha -1 yr -1 (Dinas Perkeunan dan Kehutanan Kabupaten Sinjai, 2011). The comparison between the size of mangroves and pond sin Sinjai district is 65.35% and 34.65%. The results of several previous studies e.g. (Kathiresan and Bingham, 2001) reveal that the conversion of mangrove ecosystem into ponds should not exceed 70% because failing to do so would disrupt the ecological functions of mangrove ecosystems as nutrient providers. 1.2 Aquaculture Produce and Benefit Value Aquaculture system applied to the Silvofishery pond is poly culture of shrimp, with milkfish as the primary produce. Seaweed is not cultivated by reason of limited sunlight. The surrounding ponds, however, cultivate shrimp, milkfish and seaweedas their primary cultivation. This poly culture approach is consecondary red to have ecological, economic, and 74 social benefits. Poly culture system or diversified cultivation in Silvofishery ponds ecologically aims to increase nitrogen, phosphorus, and calcium through decomposition processes. All nutrients can be utilized by various cultured biota, so the potential for deteriorating soil and water quality can be minimized. Poly culture of shrimp, milkfish and seaweed formsa mutually beneficial symbiosis. The poly culture of shrimp, milk fishand seaweed in ponds economically aims to make efficiency in all utilization of land resources use, operating costs, labor and so on. Poly culture system is said to be able to maintain the efficiency of land because it can preserve some types of organisms on the soil at the same time, minimizing costinputs such as fertilizer, drugs and laborissues. In addition, the adoption of poly culture systemin Silvofishery pond is aimed at maintaining biodiversity; the higher the biodiversity of an ecosystem, the higher the ecological, economic and social functions. Further, poly culture systems may involve some seasonal workers at harvest time, as energy harvesters, transporters, andsellers. That means the more various commodity types in a particular pond, the more labors are needed to deliver them to end customers. Be secondary sprimary cultivated organisms such as shrimp, milkfish, and seaweed, there are other secondary organisms of various types of wild fish, wild shrimp, and so forth which are also of high economic value. The analysis results of Silvofishery pond total produce maintenance cycle -1 reveals that secondary aquaculture produce helps primary aquaculture produce, in addition to direct benefit of mangrove ecosystem (Asbar, 2007) Primary Aquaculture The analysis of primary aquaculture produce results in the following average scores: (1) shrimp by 241 kg ha -1 yr -1, and (2) milkfish by 670 kg ha -1 yr -1. Silvofishery pond produce in Sinjai, when compared to Silvofishery pond producein Tangerang, is relatively similar with shrimp weighted to 200 kg ha -1 yr -1 and milkfish of 700 kg ha -1 yr -1 (Soewardi, 2011). The primary aquaculture produce perpond ratio is presented in Table 1.

3 Table1 Average of primary aquaculture produceper Silvofishery pond ratio (Rp/th) Commodity (Rp) Ratio ( % ) 100:0 60:40 30:70 20:80 10:90 Shrimp Milkfish Average Note: Source: Analysis result (2011) This analysis results show that primary aquaculture produce on the Silvofishery management negatively correlates with mangrove ratio percentage, the greater mangrove ratio than pond ratio on Silvofishery pond management, the lesser primary aquaculture produce; in contrast, coastal fisheries produce of wild shrimp and wild fish as well as direct benefit from mangrove ecosystem increases. There is a negative correlation between the mangrove ratio and primary aquaculture produce both directly and indirectly. (1) directly, the greater mangrove ratio than ponds in Silvofishery management, the narrower the area allotment for the primary cultivation, and (2) indirectly, the greater the mangrove ratio than ponds, mangrove litter produce is higher and potentially affects the quality of soil and water and prevents the primary aquaculture organism from being able to optimally adapt to the environment to minimize mortality and maximize growth rate (Beukeboom, 2012). The correlation between mangrove ratio percent age and primary aquaculture produce in Silvofishery management is presented in Figure 1. Figure 1Correlation between primary aquaculture produce per Silvofishery pond ratio Results of correlation and regression analysis between the percent age of mangrove ratio and pond ratio and primary aquaculture produce generate the following equation y=-0.091x which is interpreted that each 1% decrease in mangrove area will increase the of primary aquaculture produce in Silvofishery ponds by Rp th -1 with value of R 2= This means that 99% increase inprimary produce may explainits association with the mangrove and ponds ratio percentage on Silvofishery management, while the remaining 1% of aquaculture produce can be explained by other factors. This study results confirm a research conducted by (Naamin, 1990) who argued that the presence of mangroves in the area surrounding ponds increases ponds produce Secondary Aquaculture The study analyzes the secondary aquaculture produce in Silvofishery ponds consisting of various types of wild shrimp and wildfish. Both commodity types are considered as secondary because they are regarded as produce, even if stocking of both types of organisms is not carried out. The secondary aquaculture produce analysis results reveal average scoresas follows: (1) wild shrimp of kg ha -1 yr -1, and (2) wild fish of kg ha -1 yr -1. The main aquaculture produce per Silvofishery pond ratiois presented in Table 2. The analysis results suggest that the secondary aquaculture produce has a positive correlation between mangrove ratio percent age and ponds with secondary aquaculture produce in Silvofishery management. Unlike primary aquaculture produce, The greater the mangrove ratio percentage than pond ratio in Silvofishery management, Table 2 The average of secondary aquaculture produce per Silvofishery ratio (Rp/th) Coomodity (Rp) Ratio (%) 100 : 0 60 : : : : 90 Wild shrimp Wild fish Average Note: Source: Analysis result (2011) 75

4 the higher secondary aquaculture produce. One of the probable causesis because secondary aquaculture organisms are more adaptable to the environment influenced by mangrove. In addition, secondary aquaculture maintenance time is relatively shorter, allowing several harvests in one cycle. The correlation between mangrove ratio percentage and secondary aquaculture produce in Silvofishery pond management is presented in Figure 2. Figure 2 Correlation of secondary aquaculture produce Silvofishery pond ratio Results of regression analysis between secondary aquaculture produce with mangrove ratio percentage and ponds with secondary aquaculture produce in Silvofishery pond management generates an equation of y=0.016x+0239, which is interpreted that every 1% increase in mangrove ecosystem area will increase the value of secondary aquaculture produce in Silvofishery management as much as Rp th -1 with R 2 value of This meansa 99% increase in secondary aquaculture producein Silvofishery ponds. The results of this study confirm a previous research by (Niartiningsih, 1996) who argued that the presence of mangrove ecosystems in coastal areas may increase the catch of shrimp and fish fries Direct Benefit Value Mangrove ecosystem has ecological, economic, and social functions from which mangrove ecosystem benefits in the forms of, (1) direct benefit value, (2) indirect benefit value, (3) choice benefit, and (4) existence benefit. Mangrove ecosystem direct benefit value is associated with coastal waters fishery produce results, be that aquaculture fisheries or catch fisheries. The direct benefit of mangrove ecosystem is in the form of coastal waters fishery produce based on the area of mangrove ecosystem in Silvofishery pond management as presented in Table 3. Table 3 Average of coastal fihseries produce in the form of mangrove ecosystem direct benefits per Silvofishery pond ratio (Rp th -1 ) Commodity Ratio (%) Shrimp 100: 0 60: 40 30: 70 20: 80 10: 90 Milkfish Seaweed Wild shrimp Wild fish CrabsShellfish Fish fry Shrimp fry Shrimp Total Note: Source: Asbar, 2007 Analysis results of direct benefit value of mangrove ecosystems in the form of coastal waters fishery produce reveal apositive correlation with mangrove ratio percentage and ponds in Silvofishery management; the greater the mangrove ratio, the more coastal water fisheries results. Figure 3 below describes the correlation between mangrove ratio percent age and direct benefits of mangrove ecosystem in the form of increased coastal fisheries produce. Results of regression analysis suggest that direct benefit value from mangrove ecosystems positively correlates with mangrove ratio percentage and pondson Silvofishery management, resulting an equation of y = 0.485x which is interpreted that every 1% increase in the size of mangrove ecosystem will increase direct benefit value as much as Rp th -1 with R This means that 99.9% of 76

5 secondary aquaculture produce include; shrimp, milk fish, wilds hrimp, and wildfish. At the same time, to see the direct benefit value of mangrove ecosystems a literature study was undertaken. The latter covers reviews of different produces, for instance, shrimp, milk fish, seaweed, wild shrimp, wildfish, crabs, shellfish, shrimp and fish fry. Figure 3 Correlation of mangrove ecosystem direct benefit value in the form of coastal waters catch results increased aquaculture produce in Silvofishery pond correlates with mangrove ratio percentage in Silvofishery pond. This confirms by Alam (1997) on converting ecosystem into pond with average produce of Rp ha -1 th -1 yet causes ecological loss as much as Rp ha -1 th -1. According (Zuna, 1998), increased mangrove area not only increases the direct benefit of the mangrove ecosystem, but it also increases the biodiversity of flora and fauna therein. One of the objectives of the Silvofishery management isto realize a balanced ecosystem, so in terms of ecology and economy, mangrove ecosystem can function optimally and sustainably (Beukeboom et al., 1992). 2 Conclusion Based on the analysis results of correlation and regression equation, it can be concluded that: (1) the primary aquaculture produce negatively correlates and generates an equation of y=-0.091x with R 2 =0.99, (2) secondary aquaculture produce positively correlates and generates an equation of y=0.016x with R 2 =0.99, and (3) the direct benefit of mangrove ecosystem positively correlates and generates an equation of y=0.485x-0347 with R 2 = Research Method 3.1 Location and Time The research was conductedin Samataring village and TongkeTongke village, East Sinjai Sub-district, Sinjai District, over six months from July to December Fisheries Production Toanalyze the primary and secondary aquaculture produce per Silvofishery ratio, interviews with Silvofishery pond managers were conducted. The primary and 77 Prior to the analysis of primary aquaculture produce, secondary aquaculture produce, and the direct benefit value of mangrove ecosystems per Silvofishery ratio, a conversion from kilograms or units into rupiahs was conducted to facilitate the analysis of benefit cost ratio. The results of benefit cost ratio are broken down into two, namely specific analysison primary aquaculture and secondary aquaculture, and gener alanalysis on primary aquaculture, secondary aquaculture and direct benefit value of mangrove ecosystem. 3.3 Correlation Analysis and Regression Equation To analyze the correlation and regression equations of primary aquaculture produce and secondary aquaculture produce, and the direct benefit value of mangrove ecosystem in Silvofishery pond management, the following equations are used: Correlation Analysis To examine the correlation coefficient between increased mangrove ecosystem area and increased primary aquaculture produce, secondary aquaculture produce, and catch fisheries produce in the form of direct benefit value per Silvofishery pond ratio, the equation below is used (Kuswadi, 2004): r = Regression Equation To assess the value of regression equation between increased mangrove ecosystem area and increased fisheries produce, fisheries and shrimp and fish fry catch, the equation (Kuswadi, 2004) below is used: Y=a+bX where: (x - x) ( y y) 2 (x - x) Y= Fisheries produce; 2 ( y y) X= Mangrove ecosystem area. References Alam S., 1997, Kajian Ekonomi-Ekologi Pertmbakan pada Ekosistem

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