scholarly journals Seasonal Variation of Fish Catch by a Set Net in Hamdeuk Fishing Ground off Jeju Island

2004 ◽  
Vol 37 (1) ◽  
pp. 65-72 ◽  
Author(s):  
Byung-Yul CHA ◽  
Dae-Soo CHANG ◽  
Byung-Yeob KIM
Keyword(s):  
Seasonal Variation ◽  
Jeju Island ◽  
Fishing Ground ◽  
Fish Catch

scholarly journals Variasi Musiman Hubungan Antara Parameter Oceanografi Dengan Hasil Tangkapan Ikan Tongkol Berdasarkan Data Harian Di Selat Bali

2017 ◽  
Vol 4 (1) ◽  
pp. 109 ◽  
Author(s):  
I Gusti Agung Bagus Wisesa Sastra ◽  
I Wayan Gede Astawa Karang ◽  
Abd. Rahman As-syakur ◽  
Yulianto Suteja
Keyword(s):  
Chlorophyll A ◽  
Environmental Parameters ◽  
Pelagic Fish ◽  
Sea Surface ◽  
Fishing Ground ◽  
Temporal Fluctuation ◽  
Simple Correlation ◽  
The West ◽  
Chlorophyll A Concentration ◽  
Fish Catch

Mackerel fish that classified pelagic fish and an export commodity in Indonesia. Distribution of mackerel fish are foundn all Indonesian waters, one of them in the Bali Strait. Distribution of mackerel fish influenced by oceanographic condition such as sea surface temperature (SST) and chlorophyll-a concentration. SST and chlorophyll-a concentrations are environmental parameters that can provide information on fishing ground. The purpose of this research is explained the temporal fluctuation and relationship between SST and chlorophyll-a concentration with mackerel fish had been catch in Bali Strait waters during 2011-2016. Data were analyzed using simple correlation analysis with 95% confidence interval. Temporally, the highest average SST occurred during the transition season I (March-May) and the lowest in the east season (June-August). The highest average chlorophyll-a concentration occurs in the east season and the lowest in the west season (December-February). The highest catch of mackerel fish occurred during transitional season II (September-November) and lowest in west season. The association between SST and chlorophyll-a concentration on mackerel fish catch showed low correlation with significant relationship, whereas concentration between SST and chlorophyll-a concentration strong with significant correlation

scholarly journals RELATIONSHIP BETWEEN CHLOROPHYLL-A AND SEA SURFACE TEMPERATUR WITH Sardinella lemuru CATCHING IN BALI STRAIT

2021 ◽  
Vol 15 (1) ◽  
pp. 12
Author(s):  
Niken Gustantia ◽  
Takahiro Osawa ◽  
I Gusti Bagus Sila Dharma ◽  
Wayan Sandi Adnyana
Keyword(s):  
Chlorophyll A ◽  
Sea Surface ◽  
Fishing Ground ◽  
Fish Production ◽  
Resource Potential ◽  
Chl A ◽  
Remote Sensing Technique ◽  
Fish Resources ◽  
Fish Catch ◽  
Total Fish

The Bali Strait is one of Indonesia's territorial waters that have high natural resource potential. The area is only about 2,500 km2 but has a high potential fishing ground. The Bali Strait has unique and dynamic waters that can cause fluctuations in fish production amount each year. The largest type of fish caught in the Bali Strait is lemuru (Sardinella lemuru), a fish found only in the Bali Strait. This fish plays a significant role in the economy of fishers in the Bali Strait. Each year the catch of lemuru has fluctuated, making fishing locations challenging to predict. Sea Surface Temperature (SST) and Chlorophyll-a (Chl-a) are oceanographic parameters that can affect the resources of the ocean. Oceanographic phenomena, such as upwelling, can also influence the condition of fish resources. Therefore, understanding the relationships between these factors is essential in practical fisheries management. Observation of oceanographic factors is very hard with the field observation due to time and cost limitations. The remote sensing technique is an efficient method to determine SST distributions and Chl-a concentrations using satellite imagery. This study analyzes SST and Chl-a concentration in the Bali Strait using the Global Change Observation Mission(GCOM-C) satellite and determines the correlation between Chl-a and SST with a total fish catch(lemuru) during 2019. The results showed the maximum average Chl-a concentration observed on August 1.62 mg/m3 and the lowest concentration observed on January 0.45 mg/m3, the maximum SST on March was 28.12° C, and on August (Dry season) with 22.40° C. The SST variable's influence provides a negative correlation (R = -0.209) with changes in lemuru catch, while the Chl-a parameter has a positive correlation (R = 0.375) with changes in the catch. The pattern of relationship between Chl-a with fish catching had a good relationship than the SST in 2019.Keywords: Bali Strait; Sardinella lemuru; SST; Chl-a.

scholarly journals DEGRADATION OF REEF FISH CATCH AS AN EFFECT OF TOURISM INDUSTRY ACTIVITIES IN GILI SULAT AND GILI LAWANG WATERS, EAST LOMBOK

2017 ◽  
Vol 8 (2) ◽  
pp. 455
Author(s):  
. Mustaruddin ◽  
Lalu R. T. Savalas ◽  
Pandu Saptoriantoro
Keyword(s):  
Reef Fish ◽  
Total Suspended Solid ◽  
Quality Standard ◽  
Suspended Solid ◽  
Tourism Industry ◽  
Fishing Ground ◽  
Scoring Method ◽  
Degradation Pattern ◽  
Fishing Gears ◽  
Fish Catch

<em>The development of tourism activities in industrial scale since 2004 in the region of Gili Sulat and Gili Lawang have caused problem to local fishermen for catching reef fish. The objective of this research was to analyse the preeminent fishing gears of reef fish, the contamination types of tourism industries to fishing ground, and the degradation pattern of reef fish catch as an effect of tourism industry activities. The method used in this research was scoring method, quality standard test of water to fishery activities, and exponential regression model. The results showed that preeminent fishing gears of reef fish in the region of Gili Sulat and Gili Lawang were handline (F<sub>gab</sub> = 2.000) and fish trap (F<sub>gab</sub> = 1.556). The contamination types of tourism industries which bothering fishing ground of reef fish were total suspended solid (TSS), garbage, detergent, and timbal (Pb). The degradation pattern in quantity of reef fish catch (Y<sub>1</sub>) by activities of tourism industry (X) was formulated with moel Y<sub>1</sub> = 31.574e<sup>-0.305X</sup> (R<sup>2</sup>=0.403, p=0.000). The degradation pattern of reef fish catch by activities of tourism industry (X) in the form of value of reef fish catch (Y<sub>2</sub>) and figuring waste in reef fishing (Y<sub>3</sub>) was formulated with model Y<sub>2</sub>=474823e<sup>-0.236X</sup> (R<sup>2</sup>=0.206, p=0.012), and Y<sub>3</sub>=1.296e<sup>0.329X</sup> (R<sup>2</sup>=0.071, p=0.156).</em>

scholarly journals Fishing Ground Mapping of Demersal Fish in The Riau Islands Province Waters Related to the Oceanographic Factors

2021 ◽  
Vol 934 (1) ◽  
pp. 012061
Author(s):  
A B Sambah ◽  
M F F Fardilah ◽  
M A Z Fuad ◽  
M A Rahman
Keyword(s):  
Demersal Fish ◽  
Sea Surface ◽  
Fishing Ground ◽  
Research Areas ◽  
Fish Catch ◽  
Oceanographic Parameter ◽  
Level 3 ◽  
Parameters Analysis ◽  
Oceanographic Data ◽  
The Relationship

Abstract Research on the potential fishing ground for demersal fishing is a way to determine the areas that have the potential for fishing activities. Potential fishing ground mapping can be done by observing the dynamics of oceanographic parameters. The use of satellite imagery helps in providing oceanographic data in order to study the variability of oceanographic parameter. The aim of the study was to analyse the relationship between oceanographic parameter and demersal fish catch in order to validate potential fishing grounds for demersal fish. This research has been conducted in the waters of the Riau islands. Field observations and data collection including surveys of fishing grounds and identification of fish catches were carried out during March to August 2020. To support the analysis, Aqua-Modis Level-3 satellite data was used to observe the oceanographic variations. The data used in the analysis consisted of fishing grounds coordinate information, catches, sea surface temperature, chlorophyll-a, water depth, and salinity. The results showed that during the period 2010-2020, oceanographic dynamics did not experience significant changes or tended to be stable. Most of the research areas indicated appropriate categories for fishing activities based on the research parameters analysis. The correlation of the research parameters described a significant effect on fishing activities.

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