scholarly journals Qarun Lake Fisheries : Fishing Gears , Species Composition and Catch per Unit Effort

2014 ◽  
Vol 18 (2) ◽  
pp. 39-49 ◽  
Author(s):  
Sabry S. El-Serafy ◽  
Alaa El-Din A. El-Haweet ◽  
Azza A. El-Ganiny ◽  
Alaa M. El-Far
2014 ◽  
Vol 18 (2) ◽  
pp. 39-49
Author(s):  
Sabry El-Serafy ◽  
Alaa El-Haweet ◽  
Azza El-Ganiny ◽  
Alaa El-Far

2019 ◽  
Vol 3 (1) ◽  
pp. 18-24
Author(s):  
Nurul Ain Mohd Sharif ◽  
Noor Amalia Shaiful Kahar ◽  
Muhammad Ali Syed Hussein ◽  
Julian Ransangan ◽  
Annita Seok-Kian Yong

Sabah has extensive mangrove forests surrounded by oceanic waters which provide suitable habitat for many species of animals including mud crabs (Scylla spp.). This study was conducted to obtain information on the species composition, distribution and catch per unit effort in Marudu Bay, Sabah. Samplings were done monthly in five mangrove areas along the river channels in Marudu Bay (06°33’N; 114°44’E) from October 2012 to September 2013 using collapsible baited crab traps. From a total of 1859 mud crab specimens caught in Marudu Bay, three species were identified. Scylla tranquebarica was the dominant species forming 78% of the total followed by S. paramamosain 13% and S. olivacea 8%. The number of males (n=1224) was higher compared to females (n=635) with an average sex ratio male : female of 1.0:0.5. The catch per unit effort (CPUE) showed an average value of 0.55 trap-1 day-1 and revealed a declining trend throughout the sampling. S. tranquebarica was widely distributed in all the rivers surveyed, however, it mostly occurred in near the lower reaches of the river near the areas open to the sea where average water salinity ranged from 12.98 to 14.28 ppt and the environment favoured the growth of Rhizophora sp. Other species, S. paramamosain and S. olivacea, were mostly found in upstream areas covered generally by Nypa sp. and where average water salinity varied from 6.93 to 7.50 ppt. The information on the species composition, distribution and CPUE of the mud crabs in Marudu Bay can be useful for mud crab fisheries resources management in Sabah.


2015 ◽  
Vol 3 (3) ◽  
pp. 275 ◽  
Author(s):  
Mohammad Arshad-Ul-Alam ◽  
Mohammad Ali Azadi

To determine the catch efficiency of fishing gears, catch per unit effort (CPUE)data were collected for two years during January 2007 to December 2008 from the river Halda. Analyses were done to examine the variation of CPUE among gears, studied sections, months and years. The mean CPUE for pooled data of all gears was 2.247±0.265 kg.gear-1day-1 and 2.697±0.355 kg.gear-1day-1 for 2007 and 2008 respectively. Among eight gear categories, bag nets yielded the highest CPUE during 2007 (5.957±0.704 kg.gear-1day-1) and seine nets during 2008 (7.288±1.477 kg.gear-1day-1). Among 31 gear types, small meshed bag nets yielded the highest CPUE (18.065±6.660 and 15.69±4.479 kg.gear-1day-1 during 2007 and 2008 respectively). CPUE was highest during March-April and September-November periods. Analysis of variance showed significant difference among catch rates of different fishing gears. The CPUE differed significantly among different months for net fence, gill net, cast net and scoop net during 2007; and for seine net, net fence, bag net and cast net during 2008.


Author(s):  
Helmy A. Wurlianty ◽  
Johny Wenno ◽  
Mariana E. Kayadoe

ABSTRACT Overfishing is due to increasing fishing capacity through increasing the size of fishing gears and vessels. This research aims to analyze the development of the five-year CPUE and maximum production of purse seine fishery in Manado and Bitung Cities periodically and determine changes in fishing capacity and its influence on CPUE. The results of this study are expected to provide information in the purse seine fishery management in the city of Manado and Bitung. The results of the analysis is the highest CPUE for Bitung occurred in the period 2005-2009, the lowest CPUE occurred in the period 2008-2012 and the highest CPUE for Manado occurred in the period 2008-2012, the lowest CPUE occurred in the period 2006-2010. The highest maximum production Bitung occurred in the period 2008-2012 amounted to 22.083 tons and maximum production of Manado occurred in the period 2006-2010 amounted to 7.855 tons. The number of vessels and their sizes in each five-year period there increased in line with the increase of production. Keywords: catch, effort, purse seine, pelagic fish.   ABSTRAK Penangkapan ikan secara berlebihan terjadi karena meningkatnya kapasitas tangkap yaitu melalui penambahan ukuran alat tangkap dan ukuran kapal. Penelitian ini bertujuan untuk menganalisis perkembangan lima tahunan CPUE maupun produksi maksimum perikanan pukat cincin di Kota Manado dan Kota Bitung secara periodik dan mengetahui perubahan kapasitas tangkap dan pengaruhnya terhadap CPUE. Hasil penelitian ini diharapkan dapat memberikan informasi dalam pengelolaan perikanan pukat cincin di Kota Manado dan Kota Bitung. Hasil analisis yang diperoleh adalah CPUE tertinggi untuk Kota Bitung terjadi pada periode tahun 2005-2009, CPUE terendah terjadi pada periode tahun 2008-2012 dan CPUE tertinggi untuk Kota Manado terjadi pada periode tahun 2008-2012, CPUE terendahnya terjadi pada periode tahun 2006-2010. Produksi maksimum tertinggi Kota Bitung terjadi pada periode tahun 2008-2012 sebesar 22.083 ton dan produksi maksimum Kota Manado terjadi pada periode tahun 2006-2010 sebesar 7.855 ton. Jumlah kapal dan ukuran kapal pada setiap periode lima tahunan meningkat seiring dengan peningkatan produksi. Kata-kata kunci: hasil tangkapan, upaya, pukat cincin, ikan pelagis


2018 ◽  
Vol 7 (1) ◽  
pp. 130-140
Author(s):  
Satria Wiratama Nugraha ◽  
Abdul Ghofar ◽  
Suradi Wijaya Saputra

Perairan Selat Bali merupakan perairan yang berada diantara Pulau Jawa dan Pulau Bali. Perairan ini memiliki sumber daya perikanan pelagis kecil yang melimpah, terutama ikan lemuru. Pendaratan ikan lemuru di Perairan Selat Bali berpusat di UPT PP (Unit Pelaksana Teknis Pelabuhan Perikanan) Muncar, Kabupaten Banyuwangi. Penelitian ini bertujuan untuk mengetahui jumlah dan ukuran kapal, serta alat bantu penangkapan, Catch Per Unit Effort penangkapan, dan pengelolaan  perikanan lemuru di perairan Selat Bali. Penelitian ini dilaksanakan pada tanggal 20 Maret – 21 Mei  2017. Metode yang digunakan adalah observatif. Data yang digunakan adalah data produksi ikan lemuru di  UPT PP Muncar dan PPN (Pelabuhan Perikanan Nusantara) Pengambengan dari tahun 1980-2016, data kapal dan alat tangkap dari tahun 2010-2016. Berdasarkan data tersebut, dilakukan perhitungan Maximum Sustainable Yield (MSY) dengan menggunakan model surplus produksi Gordon Scheafer. Jumlah kapal yang digunakan untuk penangkapan ikan lemuru saat ini adalah 326 armada dengan ukuran 10-30 GT (gross ton) yang didominasi oleh kapal ukuran 29/30 GT . Jumlah kapal 10 – 30 GT di Muncar 190 unit, sedangkan di Pengambengan 136 unit. Alat tangkap yang digunakan adalah purse seine dengan jumlah 326 dengan panjang 180 depa ( ± 338 meter) dan mesh size 0,5 inchi, dengan rata – rata kekuatan mesin 120 – 240 PK, lampu 700 - 1200 watt sebanyak 5 – 12 unit / kapal. Nilai CPUE terendah adalah 0,378 ton/trip, dengan rata – rata 3,43 ton/ trip. Nilai MSY yang didapatkan sebesar 25.107,32 ton/tahun, sementara nilai JTB (Jumlah Tangkapan Diperbolehkan) adalah 20.085,86 ton per tahun. Perairan Selat Bali berada dalam otonomi Pemerintah Provinsi Jawa Timur, dan Provinsi Bali. Sehingga pada tahun 1977 dikeluarkan Surat Keputusan Bersama Gubernur Jawa Timur, dan Gubernur Bali, untuk mengatur sistem penangkapan ikan di Perairan Selat Bali. Surat Keputusan Bersama ini diperbarui beberapa kali, kemudian dikeluarkan Peraturan Menteri Kelautan Perikanan dan Kelautan Nomor 68 Tahun 2016 tentang Rencana Pengelolaan Perikanan  Ikan Lemuru di Wilayah Pengelolaan Perikanan Republik Indonesia.   Bali Strait waters is a located between Java Island and Bali Island. This waters has a lot of pelagic fish resources, especially lemuru fish. Lemuru fisheries centered on UPT PP ( Unit Techic Implementers Fisheries Port) Muncar, Banyuwangi Region. This research goals are to knows the amount of  boat and it size, total fishing gears, Catch Per Unit Effort lemuru fisheries on Bali Strait waters, and know the status of lemuru fishings. This research held on 20 Maret – 21 Mei 2017. The method of the research is observative. The data wich used is the data  production of lemuru fishing on UPT PP Muncar and PPN (Archipelago Fisheries Port) Pengambengan on 1980 -2016, boats data and fishing gears on 2010 – 2016. Based on the data, calculating MSY using surplus production model by Gordon Scheafer. Total boats for lemuru fishes are 326 boats, wich sizes 10-30 GT (gross tonnage) and dominated by 29/30 GT . The boats 10 – 30 GT in Muncar 190 units, event on Pengambengan 136 units. Fishing gears using purse seine wich 326 units, width 180 depa ( ± 338 meters) and mesh size 0,5 inchi, wich average powers 120 – 240 PK, lightning 700 - 1200 watt  5 – 12 units / boats. The value of lowest  CPUE is 0,378 ton/trip, with average is 3,43 ton/trip. The value of MSY is 25.107,32 ton/year, and TAC (Total Allowable Catch) is 20.085,86 ton/year. Bali Strait waters under otonomy by East Java and Bali Government. So, in 1977 formed GRC (Government Regulatory Compliance) by East Java and Bali Government to ruled fisheries systems on Bali Strait waters. This GRC renew few times, and then formed Regulation by Minister of Marine and Fisheries number 68 year 2016 about Plans Management Fisheries of Lemuru Fish in Indonesia Region Management.


Forecasting ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 39-55
Author(s):  
Rodgers Makwinja ◽  
Seyoum Mengistou ◽  
Emmanuel Kaunda ◽  
Tena Alemiew ◽  
Titus Bandulo Phiri ◽  
...  

Forecasting, using time series data, has become the most relevant and effective tool for fisheries stock assessment. Autoregressive integrated moving average (ARIMA) modeling has been commonly used to predict the general trend for fish landings with increased reliability and precision. In this paper, ARIMA models were applied to predict Lake Malombe annual fish landings and catch per unit effort (CPUE). The annual fish landings and CPUE trends were first observed and both were non-stationary. The first-order differencing was applied to transform the non-stationary data into stationary. Autocorrelation functions (AC), partial autocorrelation function (PAC), Akaike information criterion (AIC), Bayesian information criterion (BIC), square root of the mean square error (RMSE), the mean absolute error (MAE), percentage standard error of prediction (SEP), average relative variance (ARV), Gaussian maximum likelihood estimation (GMLE) algorithm, efficiency coefficient (E2), coefficient of determination (R2), and persistent index (PI) were estimated, which led to the identification and construction of ARIMA models, suitable in explaining the time series and forecasting. According to the measures of forecasting accuracy, the best forecasting models for fish landings and CPUE were ARIMA (0,1,1) and ARIMA (0,1,0). These models had the lowest values AIC, BIC, RMSE, MAE, SEP, ARV. The models further displayed the highest values of GMLE, PI, R2, and E2. The “auto. arima ()” command in R version 3.6.3 further displayed ARIMA (0,1,1) and ARIMA (0,1,0) as the best. The selected models satisfactorily forecasted the fish landings of 2725.243 metric tons and CPUE of 0.097 kg/h by 2024.


2021 ◽  
Author(s):  
Geneviève Nesslage ◽  
Vyacheslav Lyubchich ◽  
Paul Nitschke ◽  
Erik Williams ◽  
Churchill Grimes ◽  
...  

2021 ◽  
pp. 1-18
Author(s):  
PEMA KHANDU ◽  
GEORGE A. GALE ◽  
SARA BUMRUNGSRI

Summary White-bellied Heron Ardea insignis (WBH) is critically endangered, but we lack data on many aspects of its basic ecology and threats to the species are not clearly understood. The goal of this study was to analyse WBH foraging microhabitat selection, foraging behaviour, and prey preferences in two river basins (Punatsangchhu and Mangdechhu) in Bhutan which are likely home to one of the largest remaining populations of WBH. We also explored the relationship between the relative abundance of the WBH and prey biomass catch per unit effort within four foraging river microhabitats (pool, pond, riffle and run). Prey species were sampled in 13 different 100-m thalweg lengths of the rivers using cast nets and electrofishing gear. Riffles and pools were the most commonly used microhabitats; relative abundance was the highest in riffles. The relative abundance of WBH and prey biomass catch per unit effort (CPUE) also showed a weak but significant positive correlation (rs = 0.22). The highest biomass CPUE was observed in riffles while the lowest was found in the ponds. From the 97 prey items caught by the WBH, 95% of the prey were fish. The WBH mainly exploited three genera of fish (Garra, Salmo, and Schizothorax) of which Schizothorax (64%) was the most frequently consumed. This study provides evidence in support of further protection of critical riverine habitat and fish resources for this heron. Regular monitoring of sand and gravel mining, curbing illegal fishing, habitat restoration/mitigation, and developing sustainable alternatives for local people should be urgently implemented by the government and other relevant agencies. Further study is also required for understanding the seasonal variation and abundance of its prey species in their prime habitats along the Punatsangchhu and Mangdechhu basins.


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