scholarly journals Catch per Unit Effort Dynamic of Yellowfin Tuna Related to Sea Surface Temperature and Chlorophyll in Southern Indonesia

Fishes ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 28
Author(s):  
Budy Wiryawan ◽  
Neil Loneragan ◽  
Ulfah Mardhiah ◽  
Sonja Kleinertz ◽  
Prihatin Ika Wahyuningrum ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Yellowfin Tuna ◽  
Additive Models ◽  
Sea Surface ◽  
Catch Per Unit Effort ◽  
Unit Effort ◽  
The Government ◽  
Tuna Fisheries

Tuna fisheries are the most valuable fisheries in the world, with an estimated market value of at least US$42 billion in 2018. Indonesia plays an important role in the global tuna fisheries and has committed to improve its fisheries management; therefore, a pilot of long-term spatial-temporal data bases was developed in 2012, however none have utilized data to have better understanding for management improvement. In this study, the annual and seasonal variation of large (≥10 kg) Yellowfin Tuna (YFT) catch per unit effort (CPUE) have been investigated and the influence of sea surface temperature (SST) and chlorophyll-a on these variables examined. We used fish landing data from West Nusa Tenggara recorded every month between 2012 and 2017 and analyzed using generalized linear models and generalized additive models. We found a seasonal and annual pattern of tuna abundance affected by SST and chlorophyll-a (chl a) and related to upwelling and El Nino event. These results also suggest that a two-month closure to fishing in August and September in southern Lombok is worth considering by the Government to maximize conservation of stocks due to a high abundance of juveniles emerging during the upwelling months from June to August.

scholarly journals Daerah Penangkapan Potensial Tuna Madidihang Thunnus albacares, Bonnaterre, 1788 (Teleostei:Scombridae) di Laut Seram

2020 ◽  
Vol 23 (2) ◽  
pp. 207-216
Author(s):  
Jacobus Bunga Paillin ◽  
Delly Dominggas Paulina Matrutty ◽  
Stany Rachel Siahainenia ◽  
Ruslan Husen Saban Tawari ◽  
Haruna Haruna ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Yellowfin Tuna ◽  
Sea Surface ◽  
P Value ◽  
Thunnus Albacares ◽  
Test Analysis ◽  
Medium Potential

This research aims are to determine the potential fishing grounds of yellowfin tuna based on the approach of sea surface temperature, chlorophyll-a and catches in the Ceram Sea. Overall catches of 407 Individuals. In January the total catches were 66 individuals (14.44%), in February 67 individuals (14.66%), in March 84 individuals (18.38%), in April 116 individuals (25.38%) and in May 124 individuals (27.13%). The distribution of sea surface temperature and chlorophyll-a in the Ceram Sea in January-May 2019 looks varied. In January the average sea surface temperature was 29.13 oC, in February sea surface temperature was 29.54 oC, in March sea surface temperature was 30.12 oC, in April sea surface temperature was 30.12 oC, in May sea surface temperature was 29.77 oC. Chlorophyll-a concentration in January and February was 0.21 mg/m3, March was 0.20 mg/m3, April was 0.16 mg/m3, and May was 0.25 mg/m3. The results of the t-test analysis showed the P-value of sea surface temperature was 0.009<0.05, chlorophyll-a P-value 0.00048<0.05. Determination of potential fishing areas based on sea surface temperature, chlorophyll-a, and CPUE indicators shows that potential fishing areas are found in January, February, March, and May, while in April are in the medium potential category. Penelitian ini dilaksanakan dengan tujuan menentukan daerah penangkapan potensial Tuna madidihang berdasarkan pendekatan suhu permukaan laut, klorofil-a dan hasil tangkapan di Laut Seram.  Secara keseluruhan hasil tangkapan ikan tuna madidihang sebanyak 407 Individu. Bulan Januari total hasil tangkapan sebanyak 66 individu (14.44%), bulan Februari 67 individu (14.66%), bulan Maret 84 individu (18.38%), bulan April 116 individu (25.38%) dan bulan Mei 124 individu (27.13%). Sebaran suhu permukaan laut dan klorofil-a di Laut Seram pada bulan Januari-Mei 2019 terlihat bervariasi. Bulan Januari rata-rata suhu permukaan laut sebesar 29.13 oC, bulan Februari suhu permukaan laut 29.54 o, bulan Maret suhu permukaan laut 30.12 oC, bulan April suhu permukaan laut 30.12 oC, bulan Mei suhu permukaan laut 29.77 oC. Konsentrasi klorofil-a pada bulan Januari dan Februari sebesar 0.21 mg/m3, bulan Maret sebesar 0.20 mg/m3, bulan April sebesar 0.16 mg/m3, dan bulan Mei sebesar 0.25 mg/m3.  Hasil analisis uji t menunjukan nilai P-value suhu permukaan laut sebesar 0,009<0,05, klorofil-a P-value 0,00048<0,05. Penentuan daerah penangkapan ikan potensial berdasarkan indikator suhu permukaan laut, klorofil-a dan CPUE menunjukkan daerah penangkapan ikan potensial terdapat pada bulan Januari, Februari, Maret, dan Mei, sedangkan pada bulan April berada dalam kategori potensial sedang. 

scholarly journals ANALYSIS OF YELLOWFIN TUNA (Thunnus albacares) FISHING GROUND BASED ON SEA SURFACE TEMPERATURE AND CHLOROPHYLL-A IN THE WEST SUMATERA WATERS

2020 ◽  
Vol 3 (3) ◽  
pp. 236-247
Author(s):  
Ridwan Habibullah ◽  
Mubarak ◽  
Musrifin Galib
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Yellowfin Tuna ◽  
Sea Surface ◽  
Fishing Ground ◽  
Total Catch ◽  
Research Survey ◽  
Tuna Fishing ◽  
Aquatic Productivity

This research was conducted on September 2019 in west Sumatera waters which was aimed to find out the level of aquatic productivity, to analyze the yellowfin tuna fishing ground and to find out the corelation between sea surface temperature (SST) and chlorophyll-a with the total catch of yellowfin tuna. In conducting the research, survey and spatial analyze were used as the method. The highest total catch of yellowfin tuna was on October 2019 with the total 60.610 kg and the CPUE 166 kg/trip. On the other hand, the lowest total catch was on June with the total 18.080 kg and CPUE 92,7179 kg/trip. Based on the result of the CPUE, October is the best month for fishing. The correlation coefficient between SST and total catch in 2018 was -0.69 which mean there was a negative correlation. Meanwhile, the correlation chlorophyll-a with the total catch was 0.65 which mean the corelation between both variables were not good

scholarly journals ANALISIS SPASIAL-TEMPORAL PENANGKAPAN IKAN PELAGIS DI PERAIRAN KABUPATEN BARRU

2019 ◽  
Vol 2 (1) ◽  
pp. 124-135
Author(s):  
Muhammad Yusran Lalogau ◽  
Abdul Rauf ◽  
Hasrun Abdullah
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Temporal Analysis ◽  
Sea Surface ◽  
Utilization Rate ◽  
Catch Per Unit Effort ◽  
Location Data ◽  
Spatial And Temporal Analysis ◽  
The Status

This study aims to conduct spatial and temporal analysis of boat chart fisheries in BarruRegency by (1) mapping potential fishing areas, (2) analyzing the status of fish resource utilization inthe Boat chart in Sumpang Binangae Village, Barru Regency. This research was conducted inFebruary-March 2019 in the waters of Barru Regency which is a fishing base boat chart in SumpangBinangae Village, Barru Regency. The data used are catch data and fishing location data as well asoceanographic data (sea surface temperature and chlorophyll-a concentration) in February andMarch 2019 collected from the download of Satellite Images, Provincial Fisheries Service statisticsfrom 2007-2017 to Barru Regency area. Analysis of the determination of potential fishing areas withboat charts using geographic information systems (GIS), analyzing the status of utilization of fisheriesresources is used analysis of maximum sustainable potential (MSY) and optimum fishing (fopt) byanalyzing the effort of catch per unit effort (CPUE). The results showed that Sea surface temperature(SST) in February and March of small pelagic fish in the waters of Barru Regency favored warmwaters with a range of SST 28.61 oC - 29.7 oC waters and productivity of Chlorophyll-a range of0.44-0.0 94 mg / m3. The highest catch in March is in the waters of the western part of Barru Regency,which is 1391 - 2060 Kg. Utilization rate (Tp) Anchovy in the new regency in the last 10 years, namelyin 2008 - 2017 has not yet passed JTB so that its utilization still needs to be improved.

scholarly journals Model of Habitat Characteristics of Sardinella lemuru in the Bali Strait, Indonesia

2021 ◽  
Vol 56 (3) ◽  
pp. 229-240
Author(s):  
Adi Wijaya ◽  
Abu Bakar Sambah ◽  
Daduk Setyohadi ◽  
Umi Zakiyah
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Environmental Conditions ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Sea Surface ◽  
Model Parameters ◽  
Photosynthetically Available Radiation ◽  
Chlorophyll A Concentration

This article describes a new approach to the study of the environmental conditions that relate to the Sardinella lemuru habitat in the Bali Strait, through remote sensing data and fish catch data using the generalized additive model. Data that are acquired daily and then compiled into monthly data for sea surface temperature, sea surface chlorophyll-a concentration, photosynthetically available radiation, and sea surface depth (SSD) were used for the years 2008–2010. The objectives of the study are to describe the variability of the environmental conditions in the Bali Strait, to analyze a combination model of environmental factors in estimating the Sardinella lemuru habitat, and to map potential Sardinella lemuru fishing areas. We illustrate the proposed method by constructing seven generalized additive models with catches of Sardinella lemuru as a variable response and use sea surface temperature, sea surface chlorophyll-a concentration, photosynthetically available radiation, and SSD as covariant models for assessing the environmental characteristics of the abundance of Sardinella lemuru. Predicted values were validated using a linear model. Based on the three model parameters, habitat selection for Sardinella lemuru was significantly (P < 0.0001) influenced by photosynthetically available radiation (50–55 Einstein m-2 d-1), sea surface chlorophyll-a concentration (0.2–2.0 mgm-3), sea surface temperature (28.95–29.64 °C), and SSD (60–150 m). Catch predictions show a consistent trend toward environmental conditions and water depth. Our method allows for improvement with the validation of catch predictions that were observed and collected monthly, and the result was significant (P < 0.001, r2 = 0.816). Photosynthetically available radiation explains the highest deviation in continued generalized additive models; therefore, it was considered to be the best predictor of habitat, followed by sea surface chlorophyll-a concentration, sea surface temperature, and then SSD. New research results supplement several previous studies that relate to the analysis of environmental parameters in estimating the fish habitat and can be used in mapping the distribution of potential Sardinella lemuru fishing areas in spatial and temporal scales.

scholarly journals Pengaruh Anomali Iklim (Enso Dan Iod) Terhadap Sebaran Ikan Pedang (Xiphias Gladius) Di Samudera Hindia Bagian Timur

Jurnal Segara ◽  
2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Bram Setyadji ◽  
Khairul Amri
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Dipole Mode ◽  
Catch Per Unit Effort ◽  
Unit Effort ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
By Catch

Anomali iklim seperti ENSO dan Dipole Mode mempengaruhi dinamika massa air di bagian timur Samudera Hindia serta berdampak terhadap pola sebaran dan hasil tangkapan ikan. Ikan pedang yang tertangkap di bagian timur Samudera Hindia merupakan hasil tangkap sampingan (by catch) rawai tuna. Meskipun mempunyai nilai ekonomis yang tinggi, penelitian mengenai keterkaitan faktor lingkungan dengan hasil tangkapan dan sebaran ikan pedang, masih belum banyak dilakukan. Tulisan ini membahas pengaruh anomali iklim (ENSO dan Dipole Mode) terhadap sebaran hasil tangkapan dan sebaran spasial-temporal ikan pedang di bagian timur Samudera Hindia. Data paremeter lingkungan yang digunakan berupa sebaran suhu permukaan laut (SPL) atau Sea Surface Temperature(SST) dan klorfil-a permukaan (SSC=Sea Surface Chlorophyll) hasil pengukuran sensor Satelit Aqua MODIS (Moderate Resolution Imaging Spectroradiometer) L-2 dengan format bulanan. Data ikan pedang merupakan data kombinasi hasil pendaratan di Pelabuhan Benoa 2002–2014 dan data pemantauan ilmiah Loka Penelitian Perikanan Tuna  2005–2014. Hasil penelitian menunjukkan bahwa ada anomali iklim yang mempengaruhi hasil tangkapan per upaya (Catch per Unit Effort/CPUE) dan diduga juga mempengaruhi recruitment ikan pedang. Nilai CPUE tahunan tertinggi (0,16 ikan/100 pancing) terjadi pada event El-Nino moderate (2009) dimana terjadi peningkatan produktivitas primer, sebaliknya CPUE tahunan terendah (0,08 ikan/100 pancing) pada event IOD negatif moderate (2005) yang dampaknya sama dengan La-Nina, yakni penurunan produktivitas primer. Indikasi ini diperkuat dengan hasil pengamatan bulanan dimana nilai CPUE tertinggi pada Juni (periode berlangsungnya upwelling di selatan Jawa), sebaliknya pada bulan Desember CPUE rendah (ketika kesuburan perairan menurun). Dominansi hasil tangkapan ikan muda periode 2007-2011, diduga merupakan generasi baru recruitment dari keberhasilan pemijahan sebelumnya, saat terjadi event consecutive IOD positif (tiga tahun berturut-turut: 2006-2007-2008) meningkatkan produktivitas primer secara signifikan akibat intensitas upwelling yang tinggi.

Humboldt penguins outmanoeuvring El Nino

2000 ◽  
Vol 203 (15) ◽  
pp. 2311-2322 ◽  
Author(s):  
B. Culik ◽  
J. Hennicke ◽  
T. Martin
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Wind Direction ◽  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Dive Duration ◽  
Sea Surface ◽  
Day Length

We satellite-tracked five Humboldt penguins during the strong 1997/98 El Nino Southern Oscillation (ENSO) from their breeding island Pan de Azucar (26 degrees 09′S, 70 degrees 40′W) in Northern Chile and related their activities at sea to satellite-derived information on sea surface temperature (SST), sea surface temperature anomaly (SSTA), wind direction and speed, chlorophyll a concentrations and statistical data on fishery landings. We found that Humboldt penguins migrated by up to 895 km as marine productivity decreased. The total daily dive duration was highly correlated with SSTA, ranging from 3.1 to 12.5 h when the water was at its warmest (+4 degrees C). Birds travelled between 2 and 116 km every day, travelling further when SSTA was highest. Diving depths (maximum 54 m), however, were not increased with respect to previous years. Two penguins migrated south and, independently of each other, located an area of high chlorophyll a concentration 150 km off the coast. Humboldt penguins seem to use day length, temperature gradients, wind direction and olfaction to adapt to changing environmental conditions and to find suitable feeding grounds. This makes Humboldt penguins biological in situ detectors of highly productive marine areas, with a potential use in the verification of trends detected by remote sensors on board satellites.

scholarly journals STUDY ON CYCLONE INDUCED PHYTOPLANKTON BLOOM IN THE ARABIAN SEA THROUGH GAP-FREE RECONSTRUCTED CHLOROPHYLL-A DATA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1391-1396
Author(s):  
R. Shunmugapandi ◽  
S. Gedam ◽  
A. B. Inamdar
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Arabian Sea ◽  
Phytoplankton Bloom ◽  
Suitable Condition ◽  
Sea Surface ◽  
Cyclone Track ◽  
Chl A ◽  
The Impact

Abstract. Ocean surface phytoplankton responses to the tropical cyclone (TC)/storms have been extensively studied using satellite observations by aggregating the data into a weekly or bi-weekly composite. The reason behind is the significant limitations found in the satellite-based observation is the missing of valid data due to cloud cover, especially at the time of cyclone track passage. The data loss during the cyclone is found to be a significant barrier to efficiently investigate the response of chl-a and SST during cyclone track passage. Therefore it is necessary to rectify the above limitation to effectively study the impact of TC on the chlorophyll-a concentration (chl-a) and the sea surface temperature (SST) to achieve a complete understanding of their response to the TC prevailed in the Arabian Sea. Intending to resolve the limitation mentioned above, this study aims to reconstruct the MODIS-Aqua chl-a, and SST data using Data Interpolating Empirical Orthogonal Function (DINEOF) for all the 31 cyclonic events occurred in the Arabian Sea during 2003-2018 (16 years). Reconstructed satellite retrieved data covering all the cyclonic events were further used to investigate the chl-a and SST dynamics during TC. From the results, the exciting fact has been identified that only two TC over the eastern-AS were able to induce phytoplankton bloom. On investigating this scenario using sea surface temperature, it was disclosed that the availability of nutrients decides the suitable condition for the phytoplankton to proliferate in the surface ocean. Relevant to the precedent criterion, the results witnessed that the 2 TC (Phyan and Ockhi cyclone) prevailed in the eastern AS invoked a suitable condition for phytoplankton bloom. Other TC found to be less provocative either due to less intensity, origination region or the unsuitable condition. Thereby, gap-free reconstructed daily satellite-derived data efficiently investigates the response of bio-geophysical parameters during cyclonic events. Moreover, this study sensitised that though several TC strikes the AS, only two could impact phytoplankton productivity and SST found to highly consistent with the chl-a variability during the cyclone passage.

scholarly journals Perbandingan Model GAM dan Gamboost dalam Fitting Dataset Sea Surface Temperature

2018 ◽  
Vol 18 (1) ◽  
pp. 39-50
Author(s):  
Miftahuddin Miftahuddin
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Risk Model ◽  
Generalized Additive Models ◽  
Information Criteria ◽  
Additive Models ◽  
Sea Surface ◽  
Akaike Information Criteria ◽  
Fitting Model

Fitting model GAM (generalized additive models) dan Gamboost (generalized additive models by boosting) untuk dataset SST (sea surface temperature) dimaksudkan sebagai upaya mencapai perbaikan fitting model terhadap data SST. Secara umum, model GAM dapat memvisualisasikan masing-masing kovariat, sedangkan model gamboost dapat memvisualisasikan lebih detail kovariatnya dalam beberapa bentuk, baik secara linier dan nonlinier. Pengukuran performance yang digunakan terhadap model adalah nilai AIC (Akaike Information Criteria) dan CV-risk. Model GAM dengan boosting menunjukkan lebih sesuai dalam struktur model, pemilihan model terbaik dan seleksi variabel pada dataset SST. Fitting model GAM dapat menghasilkan pola dan trend masing-masing kovariat meskipun memiliki beberapa gap, sedangkan pada model gamboost memiliki lebih banyak pilihan simultan dalam bentuk linier, nonlinier dan smooth untuk masing-masing kovariat. Kedua pendekatan fitting memiliki kelebihan yang dapat saling melengkapi dalam memodelkan dataset SST.

scholarly journals SKIPJACK TUNA IN RELATION TO SEA SURFACE TEMPERATURE AND CHLOROPHYLL-A CONCENTRATION OF BONE BAY USING REMOTELY SENSED SATELLITE DATA

2011 ◽  
Vol 3 (1) ◽  
Author(s):  
Mukti Zainuddin
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Spatial Dynamics ◽  
Remotely Sensed ◽  
Sea Surface ◽  
Skipjack Tuna ◽  
Important Species ◽  
Physical Environments ◽  
High Catch

Skipjack tuna is an important species targeting by pole and line fishery in Bone Bay. The distribution and abundance of this species tended to aggregate to the preferred bio-physical environments. To describe the short term relationship between skipjack tuna and oceanographic conditions and to visualize the predicted high catch areas, remotely sensed satellite based-oceanographic sea surface temperature (SST) and chlorophyll-a together fisheries data were used. Results indicated that the highest skipjack CPUEs were mainly found in coastal areas of Palopo and Kolaka both in 2007 and in 2009 during the period of study. The high tuna concentrations corresponded well with chlorophyll-a of 0.15-0.40 mg mg-3 and SST of 29.0-31.5 °C. The preferred ranges provide a good indicator for initially detecting potential skipjack fishing grounds. This study suggested that thermal and chlorophyll fronts as well as upwelling may important mechanisms in explaining the temporal and spatial dynamics of skipjack tuna distribution and abundance in Bone Bay.Keywords: skipjack tuna, potential fishing grounds, satellite images and fronts

Sign in / Sign up

Export Citation Format

Share Document