scholarly journals Species diversity and distribution of mud crab in Marudu Bay mangrove forest reserve, Sabah, Malaysia

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
Keyword(s):  
Species Composition ◽  
Water Salinity ◽  
Suitable Habitat ◽  
River Channels ◽  
Mud Crab ◽  
Catch Per Unit Effort ◽  
Composition Distribution ◽  
Unit Effort ◽  
Average Water ◽  
Mud Crabs

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.

Qarun Lake fisheries; Fishing gears, Species composition and Catch per unit effort

2014 ◽  
Vol 18 (2) ◽  
pp. 39-49
Author(s):  
Sabry El-Serafy ◽  
Alaa El-Haweet ◽  
Azza El-Ganiny ◽  
Alaa El-Far
Keyword(s):  
Species Composition ◽  
Catch Per Unit Effort ◽  
Unit Effort ◽  
Fishing Gears ◽  
Lake Fisheries

scholarly journals Catch-per-unit effort of exploited finfishes and crustaceans in Ilog River Estuary, Negros Occidental, Philippines

2017 ◽  
Author(s):  
Abner A Bucol ◽  
Floredel D. Galon ◽  
Angel C. Alcala
Keyword(s):  
Habitat Degradation ◽  
River Estuary ◽  
Organic Pollution ◽  
Mangrove Forests ◽  
Fish Ponds ◽  
Mud Crab ◽  
Fish Kill ◽  
Catch Per Unit Effort ◽  
Unit Effort ◽  
Over Exploitation

This paper reports the catch-per-unit effort (CPUE) of the finfish and crustacean fishery in Ilog River Estuary in Negros Occidental. We monitored catch data of fishing gears, mainly trawl (small type), beach seine and mud crab pot from April, May, September, October, December 2013 and January 2014.We estimated at least 37.82 metric tonnes of annual fishery yield (fishes and crustaceans combined) for the entire Malabong estuarine area. Two gears (liftnet and fish corrals) were used by the local fishers since the 1980s. Based on the baseline annual yield of 21 tonnes, the annual yield for these gears (at present ~7.5 tonnes) combined has declined by 13.5 tonnes (~65%) since the early 1980s (~30 years). This decline might be due to habitat degradation (including conversion of original mangrove forests into fish ponds and nipa plantations), over-exploitation, and organic pollution (resulting to recurring fish kill events) in the area.

scholarly journals Catch-per-unit effort of exploited finfishes and crustaceans in Ilog River Estuary, Negros Occidental, Philippines

2017 ◽  
Author(s):  
Abner A Bucol ◽  
Floredel D. Galon ◽  
Angel C. Alcala
Keyword(s):  
Habitat Degradation ◽  
River Estuary ◽  
Organic Pollution ◽  
Mangrove Forests ◽  
Fish Ponds ◽  
Mud Crab ◽  
Fish Kill ◽  
Catch Per Unit Effort ◽  
Unit Effort ◽  
Over Exploitation

This paper reports the catch-per-unit effort (CPUE) of the finfish and crustacean fishery in Ilog River Estuary in Negros Occidental. We monitored catch data of fishing gears, mainly trawl (small type), beach seine and mud crab pot from April, May, September, October, December 2013 and January 2014.We estimated at least 37.82 metric tonnes of annual fishery yield (fishes and crustaceans combined) for the entire Malabong estuarine area. Two gears (liftnet and fish corrals) were used by the local fishers since the 1980s. Based on the baseline annual yield of 21 tonnes, the annual yield for these gears (at present ~7.5 tonnes) combined has declined by 13.5 tonnes (~65%) since the early 1980s (~30 years). This decline might be due to habitat degradation (including conversion of original mangrove forests into fish ponds and nipa plantations), over-exploitation, and organic pollution (resulting to recurring fish kill events) in the area.

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
Keyword(s):  
Species Composition ◽  
Catch Per Unit Effort ◽  
Unit Effort ◽  
Fishing Gears ◽  
Lake Fisheries

scholarly journals Modeling of Lake Malombe Annual Fish Landings and Catch per Unit Effort (CPUE)

Forecasting ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 39-55
Author(s):  
Rodgers Makwinja ◽  
Seyoum Mengistou ◽  
Emmanuel Kaunda ◽  
Tena Alemiew ◽  
Titus Bandulo Phiri ◽  
...  
Keyword(s):  
Time Series ◽  
Information Criterion ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Efficiency Coefficient ◽  
Arima Models ◽  
Catch Per Unit Effort ◽  
Annual Fish ◽  
Unit Effort ◽  
The Mean

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.

Environmental drivers of golden tilefish ( Lopholatilus chamaeleonticeps ) commercial landings and catch‐per‐unit‐effort

2021 ◽  
Author(s):  
Geneviève Nesslage ◽  
Vyacheslav Lyubchich ◽  
Paul Nitschke ◽  
Erik Williams ◽  
Churchill Grimes ◽  
...  
Keyword(s):  
Environmental Drivers ◽  
Catch Per Unit Effort ◽  
Unit Effort

Ecological and environmental factors affecting the foraging activity of the White-bellied Heron Ardea insignis (Hume, 1878) in Bhutan

2021 ◽  
pp. 1-18
Author(s):  
PEMA KHANDU ◽  
GEORGE A. GALE ◽  
SARA BUMRUNGSRI
Keyword(s):  
Relative Abundance ◽  
Habitat Restoration ◽  
Prey Species ◽  
Catch Per Unit Effort ◽  
Factors Affecting ◽  
Prey Biomass ◽  
Gravel Mining ◽  
Unit Effort ◽  
Prey Preferences ◽  
The Government

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.

Modelling catch per unit effort of the Black Volta near the Bui dam in Ghana

2016 ◽  
Vol 55 (2) ◽  
pp. 126-133
Author(s):  
Elliot H. Alhassan ◽  
Patrick K. Ofori-Danson ◽  
Francis K. E. Nunoo
Keyword(s):  
Catch Per Unit Effort ◽  
Unit Effort
Sign in / Sign up

Export Citation Format

Share Document