Results 271 to 280 of about 489,305 (311)

A comparison of initial statistical catch-at-age and catch-at-length assessments of Western Atlantic bluefin tuna.

2022
A concern associated with existing Atlantic bluefin tuna age-based assessments using Virtual Population Analysis (VPA) is that the catch-at-age data inputs are obtained by the cohort-slicing method, which is approximate and might introduce appreciable bias into the results.
Butterworth, Doug, Rademeyer, Rebecca A
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A simple statistical method for catch comparison studies

Fisheries Research, 2009
For analysing catch comparison data, we propose a simple method based on Generalised Linear Mixed Models (GLMM) and use polynomial approximations to fit the proportions caught in the test codend. The method provides comparisons of fish catch at length by the two gears through a continuous curve with a realistic confidence band.
Holst, René, Revill, Andrew S
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Is catch proportional to nominal effort? Conceptual, fleet dynamic, and statistical considerations in catch standardization

Canadian Journal of Fisheries and Aquatic Sciences, 2019
Often, catch-per-unit-effort (CPUE) standardizations are used to reflect fish abundance. This implies that catch is directly proportional to effort. We examine this using 78 reported catch and effort series in a meta-analysis, correcting for errors-in-variables in the relationship.
Aljafary, Michelle, Gillis, Darren M, Comeau, Peter   +2 more
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An updated statistical catch-at-length assessment for Eastern Atlantic bluefin tuna

2022
Butterworth and Rademeyer (2013) provided an initial Statistical Catch-at-Length (SCAL) assessment of the eastern populations of North Atlantic bluefin tuna. The primary purpose in fitting to length- rather than to age distribution data was to avoid the need to make use of the somewhat coarse cohort-slicing method to provide the latter.
Butterworth, Doug, Rademeyer, Rebecca A
openaire   +1 more source

Statistical analysis of catch-at-age data with correlated errors

Canadian Journal of Fisheries and Aquatic Sciences, 1995
We extend the statistical model used to estimate abundance from commercial catch-at-age data for many of the major commercial fish species in the world. The model we consider combines commercial catch-at-age data and research survey estimates of fish abundance; we extend the model to allow correlated errors among ages within a year for the survey ...
Ransom A. Myers, Noel G. Cadigan
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Statistical Models for Estimating CPUE from Catch and Effort Data

Canadian Journal of Fisheries and Aquatic Sciences, 1992
Catch-per-unit-effort (CPUE) provides one of the most commonly used abundance indices in fishery research. The literature, however, offers no unique method of estimating CPUE and its variance from catch and effort data. In this paper we develop two models (univariate and bivariate) that generalize previous approaches and remain valid under management ...
Laura J. Richards, Jon T. Schnute
openaire   +1 more source

Prediction of fish catch in the Danube River based on long-term variability in environmental parameters and catch statistics

Science of The Total Environment, 2017
The effects of physical factors on fish catch in the Serbian part of the Danube River were studied for period of six decades. The data on total catch for the Danube River from river kilometre 845 to river kilometre 1433 were collected from Statistical Office of the Republic of Serbia, while water level and water temperature data were collected from 16 ...
Smederevac-Lalić, Marija M., Kalauzi, Aleksandar J., Regner, Slobodan B., Lenhardt, Mirjana, Naunović, Zorana Z., Hegediš, Aleksandar E.   +5 more
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Six Years of Catch Statistics on Yellowstone Lake

Transactions of the American Fisheries Society, 1957
Abstract The U. S. Fish and Wildlife Service collected catch statistics on Yellowstone Lake and adjacent waters from 1950 to 1955 as part of an investigation on the status of the cutthroat trout fishery and the fish populations. Methods for estimating numbers of fishermen, hours of effort, and catch, were developed for each unit of the fishery and were
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Evaluating the performance of a multispecies statistical catch-at-age model

Canadian Journal of Fisheries and Aquatic Sciences, 2013
Predation is a substantial source of mortality that is a function of the abundance of predator and prey species. This source of mortality creates a challenge of incorporating species interactions in statistical catch-at-age models in a way that accounts for the uncertainty in input data, parameters, and results.
Curti, Kiersten L., Collie, Jeremy S., Legault, Christopher M., Link, Jason S.   +3 more
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A Method of Collecting Statistics of Marine Sport Catches in California

Transactions of the American Fisheries Society, 1933
(1933). A Method of Collecting Statistics of Marine Sport Catches in California. Transactions of the American Fisheries Society: Vol. 63, No. 1, pp. 332-337.
G. H. Clark, Richard Croker
openaire   +1 more source