Wind-Aided Recruitment of Canadian Arctic Cisco (Coregonus autumnalis) into Alaskan Waters

1988 ◽  
Vol 45 (5) ◽  
pp. 906-910 ◽  
Author(s):  
Robert G. Fechhelm ◽  
David B. Fissel
Keyword(s):  
Time Series ◽  
Canadian Arctic ◽  
Wind Data ◽  
Commercial Fishery ◽  
Catch Per Unit Effort ◽  
Longshore Currents ◽  
Unit Effort ◽  
Colville River ◽  
Young Of The Year ◽  
Mackenzie River

Summer wind data collected at Barter Island, Alaska, were compared with commercial fishery catches of arctic cisco (Coregonus autumnalis) at the Colville River, Alaska, for the period 1967–85. There was a significant (p = 0.036) association between yearly catch-per-unit-effort and the percent of easterly winds after adjusting for a 5-yr differential in the two time series. Results suggest that young-of-the-year fish which spawn in Canada's Mackenzie River are aided in their westward dispersal into Alaskan waters via wind-driven longshore currents. The greater the prevalence of easterly winds (westerly currents), the greater the recruitment. Increased recruitment manifests itself as an increase in Alaskan commercial fishery catch some 5-yr later when fish have grown to a size that renders them susceptible to commercial nets.

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.

Postimpoundment Change in Financial Performance of the Southern Indian Lake Commercial Fishery

1984 ◽  
Vol 41 (4) ◽  
pp. 715-719 ◽  
Author(s):  
M. W. Wagner
Keyword(s):  
Financial Performance ◽  
Cash Flow ◽  
Economic Viability ◽  
Lower Grade ◽  
Commercial Fishery ◽  
Catch Per Unit Effort ◽  
Capital Costs ◽  
Unit Effort ◽  
Traditional Fishing

Since impoundment of Southern Indian Lake in 1976, two economic surveys of the summer fishery have been carried out in 1977 and 1980. These surveys revealed a decrease in cash flow per fishing enterprise of 66%, from $3362 to $1141 (1980$), so that by 1980 the average enterprise could not meet its capital costs. The reduction in cash flow was mainly attributable to decreased gross revenues, due to decreased catch per unit effort on traditional fishing grounds, an increase in the proportion of lower grade whitefish in the catch, and a decrease in the average number of days spent fishing per enterprise. Consideration of a freight subsidy paid to fishermen further accented the decrease in financial performance. It is projected that by 1981 economic viability had worsened further.

Predicting catch per unit effort from a multispecies commercial fishery in Port Phillip Bay, Australia

2020 ◽  
Vol 71 (4) ◽  
pp. 542
Author(s):  
Karina L. Ryan ◽  
Denny Meyer
Keyword(s):  
Time Series ◽  
Environmental Conditions ◽  
Environmental Variability ◽  
Moving Average ◽  
Commercial Fishing ◽  
Arima Models ◽  
Catch Per Unit Effort ◽  
Explanatory Variables ◽  
Unit Effort ◽  
Stock Abundance

Quantitative models that predict stock abundance can inform stock assessments and adaptive management that allows for less stringent controls when abundance is high and environmental conditions are suitable, or tightening controls when abundance is low and environmental conditions are least suitable. Absolute estimates of stock abundance are difficult and expensive to obtain, but data from routine reporting in commercial fisheries logbooks can provide an indicator of stock status. Autoregressive integrated moving average (ARIMA) models were constructed using catch per unit effort (CPUE) from commercial fishing in Port Phillip Bay from 1978–79 to 2009–10. Univariate and multivariate models were compared for short-lived species (Sepioteuthis australis), and species represented by 1–2 year-classes (Sillaginodes punctatus) and 5–6 year-classes (Chrysophrys auratus). Simple transfer models incorporating environmental variables produced the best predictive models for all species. Multivariate ARIMA models are dependent on the availability of an appropriate time series of explanatory variables. This study demonstrates an application of time series methods to predict monthly CPUE that is relevant to fisheries for species that are short lived or vulnerable to fishing during short phases in their life history or where high intra-annual variation in stock abundance occurs through environmental variability.

scholarly journals Pendugaan Status Sumberdaya Perikanan Skala Kecil di Kota Semarang

2021 ◽  
Vol 5 (1) ◽  
pp. 51-58
Author(s):  
Hendi Kristiana ◽  
Jamaludin Malik ◽  
Nur Anwar
Keyword(s):  
Time Series ◽  
Catch Per Unit Effort ◽  
Unit Effort

Perikanan di Kota Semarang didominasi oleh perikanan skala kecil. Hal ini ditandai dengan penggunaan armada perikanan paling besar 10 gros ton yang beroperasi di dekat pantai. Data statistik perikanan selama 10 tahun (2010-2019) terlihat hasil tangkapan yang mulai menurun, sementara perkembangan jumlah unit penangkapan yang semakin meningkat. Hal ini mengindikasikan stok ikan mulai berkurang dan tingkat pemanfaatan sumberdaya perikanan mengarah overfishing. Hal tersebut diperkuat dengan hasil pengamatan langsung di lapangan yang menunjukkan jumlah hasil tangkapan cenderung sedikit dan ukuran ikan yang tertangkap cenderung kecil. Tujuan penelitian ini adalah menganalisis status sumberdaya perikanan skala kecil di Kota Semarang. Metode yang dipakai dalam penelitian ini adalah analisis data runtun waktu (time series) produksi surplus yaitu data dari hasil tangkapan (ton/tahun) dan jumlah alat tangkap (unit), dalam kurun waktu 10 tahun (2010-2019), untuk menghitung nilai catch per-unit effort (CPUE), potensi maksimum lestari (MSY), jumlah effort optimum (fopt), tingkat pemanfaatan (TP) dan tingkat kapasitas (TK). Penelitian ini diperoleh hasil adanya tren penurunan CPUE; hasil tangkapan/produksi perikanan eksisting tahun 2019 telah melewati nilai MSY-nya yaitu sebesar 479 ton/tahun (Schaefer) dan 439,11 ton/tahun (Fox); tingkat pemanfaatan lebih dari 100% yaitu sebesar 108-127% (Schaefer) dan 118-138% (Fox), sehingga perikanan skala kecil di Kota Semarang berada pada tingkat over-exploited. Berdasarkan analisis fopt menunjukkan jumlah alat tangkap yang digunakan (fexisting) telah melebihi jumlah optimumnya dengan tingkat kapasitas penangkapan melebihi 100%, sehingga perikanan skala kecil di Kota Semarang telah mengalami kelebihan kapasitas penangkapan (overcapacity).

scholarly journals Assessing the stock status of holobenthic octopus fisheries: is catch per unit effort sufficient?

2009 ◽  
Vol 66 (3) ◽  
pp. 478-487 ◽  
Author(s):  
Stephen C. Leporati ◽  
Philippe E. Ziegler ◽  
Jayson M. Semmens
Keyword(s):  
Egg Production ◽  
Biological Information ◽  
Life History Strategies ◽  
Sufficient Information ◽  
Commercial Fishery ◽  
Catch Per Unit Effort ◽  
Stock Status ◽  
Unit Effort ◽  
The Status ◽  
Spawning Periods

Abstract Leporati, S. C., Ziegler, P. E., and Semmens, J. M. 2009. Assessing the stock status of holobenthic octopus fisheries: is catch per unit effort sufficient? – ICES Journal of Marine Science, 66: 478–487. Holobenthic and merobenthic octopus fisheries are commonly treated as biological equivalents, regardless of their contrasting life-history strategies. This is the consequence of a lack of species identification and relevant biological information for many species, which has led to a reliance on catch per unit effort (cpue) data for stock status assessments. Using the commercial Octopus pallidus fishery in southeast Australian waters as a case study, the reliability of commercial cpue data as an indicator of stock status for holobenthic octopus fisheries was assessed. To achieve this, cpue and biological information from a fixed position experimental research line were investigated for consistency in stock status patterns and compared with commercial fishery cpue trends. Research line results revealed that cpue could remain stable regardless of size-selective fishing mortality potentially impacting recruitment. The cpue in the commercial fishery was very seasonal and dominated by females during autumn, when both cpue and spawning periods peaked, so increasing the potential for negative fishery impacts on egg production. The inability of cpue to account for the effects of continual fishing pressure on recruitment or seasonal changes in sex-specific catchability, however, indicates that cpue alone cannot provide sufficient information on the status of a holobenthic octopus fishery.

Great Slave Lake: Effects of Exploitation on the Salmonid Community

1972 ◽  
Vol 29 (6) ◽  
pp. 741-753 ◽  
Author(s):  
J. J. Keleher
Keyword(s):  
Lake Trout ◽  
Fishing Effort ◽  
Study Data ◽  
Background Information ◽  
Commercial Fishery ◽  
Catch Per Unit Effort ◽  
Quota System ◽  
Great Slave Lake ◽  
Unit Effort ◽  
Average Size

A 20-year investigation commenced at the inception of the Great Slave Lake commercial fishery, and it is inferred that exploitation has been the sole cause of change in the fish stocks. Background information on the operation of the commercial fishery, the fishing regulations, and the study methods are provided. Lake whitefish, Coregonus clupeaformis, and lake trout, Salvelinus namaycush, have made up 94% of the commercial landings of 119 million lb during the period. Only three other species of the 25 occurring in the lake were usually marketed. Whitefish catches generally were distributed equally between the summer and winter seasons. Trout were caught almost exclusively during the summer season. The annual catch of these two species rose from 1.6 million lb in 1945 to a maximum of 9.4 million lb in 1949 then gradually decreased to about the 5 million lb level. The study data have been partitioned according to 13 statistical areas. Catch has not been in proportion to the extent of these areas. Whitefish catch has predominated in the western, Interior Lowlands, portion of the lake while trout catch has predominated in the eastern, Canadian Shield, portion. In various areas, the peak catches for whitefish were associated with peak catches for trout, indicating that both were the result of fishing down the virgin stocks. Summer catch per unit effort for each species has declined during the 20-year period. CPE varied with the statistical areas. The usual observed reduction for whitefish was 60% in contrast to 93% for trout. Estimated summer fishing effort and whitefish catch showed a direct relation but the relation for trout usually changed from a positive to a negative one. The average size of commercially caught fish has declined to about 2 lb for whitefish and 5 lb for trout. Information on catch per unit effort for other species indicates no evident explosions in their numbers, though ciscoes, Leucichthys spp., appear to have increased in abundance. Although the fishery was regulated in order to provide for maximum annual sustained yields, this has not been achieved for trout. Three opinions for this are offered. Exploitation under a pooled quota system for whitefish and trout is not favoured and a decrease in trout quota is recommended.

Effect of Wind on the Recruitment of Canadian Arctic Cisco (Coregonus autumnalis) into the Central Alaskan Beaufort Sea

1990 ◽  
Vol 47 (11) ◽  
pp. 2164-2171 ◽  
Author(s):  
Robert G. Fechhelm ◽  
William B. Griffiths
Keyword(s):  
Canadian Arctic ◽  
Beaufort Sea ◽  
Wind Data ◽  
Poor Recruitment ◽  
Young Of The Year ◽  
Wind Driven Currents ◽  
Prudhoe Bay ◽  
Sea Coast

The recruitment of age 0+ Arctic cisco (Coregonus autumnalis) from Canada into the Prudhoe Bay, Alaska, area for the period 1981–88 was compared with summer wind data collected at Barter Island, Alaska. Four years of poor recruitment (1981, 1982, 1984, and 1988) were characterized by winds with net easterly components [Formula: see text] for the period 1 July—15 August. Four years in which moderate to strong recruitment occurred (1983, 1985, 1986, and 1987) were characterized by winds with net easterly components [Formula: see text]. Results suggest that the recruitment of young-of-the-year Arctic cisco from Canada to central Alaska is strongly influenced by wind-driven currents along the Beaufort Sea coast. Recruitment may be impaired by the absence of "strong" east winds without the actual presence of prevailing west winds.

Detecting and forecasting complex nonlinear dynamics in spatially structured catch-per-unit-effort time series for North Pacific albacore (Thunnus alalunga)

2011 ◽  
Vol 68 (3) ◽  
pp. 400-412 ◽  
Author(s):  
Sarah M. Glaser ◽  
Hao Ye ◽  
Mark Maunder ◽  
Alec MacCall ◽  
Michael Fogarty ◽  
...  
Keyword(s):  
Nonlinear Dynamics ◽  
Time Series ◽  
North Pacific ◽  
Stock Assessment ◽  
North Pacific Ocean ◽  
Catch Per Unit Effort ◽  
Data Set ◽  
Unit Effort ◽  
Thunnus Alalunga ◽  
Low Dimensional

The presence of complex, nonlinear dynamics in fish populations, and uncertainty in the structure (functional form) of those dynamics, pose challenges to the accuracy of forecasts produced by traditional stock assessment models. We describe two nonlinear forecasting models that test for the hallmarks of complex behavior, avoid problems of structural uncertainty, and produce good forecasts of catch-per-unit-effort (CPUE) time series in both standardized and nominal (unprocessed) form. We analyze a spatially extensive, 40-year-long data set of annual CPUE time series of North Pacific albacore ( Thunnus alalunga ) from 1° × 1° cells from the eastern North Pacific Ocean. The use of spatially structured data in compositing techniques improves out-of-sample forecasts of CPUE and overcomes difficulties commonly encountered when using short, incomplete time series. These CPUE series display low-dimensional, nonlinear structure and significant predictability. Such characteristics have important implications for industry efficiency in terms of future planning and can inform formal stock assessments used for the management of fisheries.

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
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