Biology and Management of Inland Striped Bass and Hybrid Striped Bass

2013 ◽  
Keyword(s):  
Striped Bass ◽  
Survey Methods ◽  
Atlantic Coast ◽  
Fishing Effort ◽  
Sampling Effort ◽  
Lake Texoma ◽  
Survey Statistics ◽  
Management Actions ◽  
Reservoir Fisheries ◽  
Creel Survey

<em>Abstract</em>.—Striped bass <em>Morone saxatilis</em> provide important commercial and recreational fisheries in many Atlantic coast states, in addition to providing popular recreational reservoir fisheries in numerous inland states. Measurements of fishery-dependent data such as harvest, catch, and effort are essential to determining whether management actions are effective. Many states, including Texas, use creel-survey methods for measuring striped bass catch and effort statistics for recreational anglers. However, a systematic overview of the performance of the various types of creel surveys, or creel surveys in general, for measuring striped bass catch and effort has not been performed previously. In many states, both roving and access creel surveys are used, and effort may be allocated using unequal probabilities. In fisheries with low harvests of <em>Morone </em>spp., survey statistics for these fish typically have high relative standard errors (RSE), from 30% to 115%.As directed effort increases, the RSE typically decreases; in systems with high angling effort directed at striped bass, RSE is much lower (e.g., 18% in Lake Texoma, Texas–Oklahoma).We used these and other data from striped bass creel surveys throughout the United States to assess the reliability of estimates from various methods. We recommend making survey sampling effort coincide with the fishing effort. While it may be possible to improve the precision by increasing the amount of manpower devoted to the current creel survey, stratifying or using unequal spatial and temporal probabilities are techniques more likely to improve precision in a cost-effective manner. Once the data have been collected, we show how using model-based estimation, such as using Kalman filters or empirical Bayesian estimation, could also prove advantageous.

Variability of Atlantic Coast Striped Bass Egg Characteristics

2003 ◽  
Vol 23 (2) ◽  
pp. 558-572 ◽  
Author(s):  
Lauren L. Bergey ◽  
Roger A. Rulifson ◽  
Margie L. Gallagher ◽  
Anthony S. Overton
Keyword(s):  
Striped Bass ◽  
Atlantic Coast

scholarly journals The risk to fishery performance associated with spatially resolved management of Antarctic krill (Euphausia superba) harvesting

2009 ◽  
Vol 66 (10) ◽  
pp. 2148-2154 ◽  
Author(s):  
Simeon L. Hill ◽  
Philip N. Trathan ◽  
David J. Agnew
Keyword(s):  
Antarctic Krill ◽  
Euphausia Superba ◽  
Ecosystem Approach ◽  
Fishing Effort ◽  
Target Species ◽  
Ecosystem Models ◽  
Spatially Resolved ◽  
Management Actions ◽  
Antarctic Krill Euphausia Superba

Abstract Hill, S. L., Trathan, P. N., and Agnew, D. J. 2009. The risk to fishery performance associated with spatially resolved management of Antarctic krill (Euphausia superba) harvesting. – ICES Journal of Marine Science, 66: 2148–2154. The ecosystem approach to fisheries attempts to define objectives for target species, the wider ecosystem, and critically, the fishery itself. Proposals for implementing the approach often include spatial restrictions on harvesting, so it is important to understand how these will affect fishery performance. One metric of potential performance is the probability of encountering exploitable densities of a target species at the scale of fishing operations. The probability of encountering exploitable densities of Antarctic krill, Euphausia superba, at the scale of 1 nautical mile during an acoustic survey was predicted by bathymetry and the mean krill density at the larger scale at which the fishery is managed. This suggests that the risk to fishery performance will increase if management actions relocate the fishery into deeper water. The results also suggest that ecosystem models resolved to the spatial scale of management units could usefully predict effects at the scale of fishing operations. However, correct parameterization of these models will require better characterization of threshold densities for efficient exploitation. Finally, the distribution of catch and fishing effort over an entire fishing season reflected the distribution of krill density observed during the survey.

Biology and Management of Inland Striped Bass and Hybrid Striped Bass

2013 ◽  
Keyword(s):  
Striped Bass ◽  
Population Models ◽  
Model Parameters ◽  
Hybrid Striped Bass ◽  
Time Dynamic ◽  
Management Actions ◽  
Age Structured ◽  
Variable Recruitment ◽  
Yield Time ◽  
Yield Per Recruit

<em>Abstract</em>.—Population models are frequently used to assess stocks and inform management, but use of models for inland striped bass <em>Morone saxatilis</em> fisheries is rare in the literature. We summarize three common types of population models and describe how they could aid management of striped bass and hybrid striped bass fisheries. Yield-per-recruit models are ideal for identifying growth overfishing and optimum size at harvest to maximize yield. Time-dynamic, age-structured models are useful for evaluating effects of variable recruitment on angler catch and effects of temporary changes in model parameters (e.g., fish kills, changes in growth) on model output. Catch-at-age models can be used to measure recruitment to age 1 for inland striped bass fisheries and for quantifying fishing mortality rates. Catch-at-age models can also improve the utility of creel survey data and help evaluate the efficacy of stocking programs by estimating age-1 recruits (from model) per stocked fish (from hatchery). Population models force investigators to be explicit about their hypotheses regarding fisheries systems, identify data gaps, and allow assessment of potential impacts of management actions on the fishery. The examples shown here can be used to improve striped bass and hybrid striped bass monitoring and management.

Benthic Habitats and the Effects of Fishing

2005 ◽  
Keyword(s):  
Fisheries Management ◽  
Large Scale ◽  
Scale Effects ◽  
Ecosystem Processes ◽  
Fishing Effort ◽  
Habitat Types ◽  
Benthic Habitats ◽  
Management Actions ◽  
Ecosystem Effects ◽  
Ecosystem Based Fisheries Management

<strong><em>Abstract. </em></strong>We review the impacts of towed gears on benthic habitats and communities and predict the consequences of these impacts for ecosystem processes. Our emphasis is on the additive and synergistic large-scale effects of fishing, and we assess how changes in the distribution of fishing activity following management action are likely to affect production, turnover time, and nutrient fluxes in ecosystems. Analyses of the large-scale effects of fishing disturbance show that the initial effects of fishing on a habitat have greater ecosystem consequences than repeated fishing in fished areas. As a result, patchy fishing effort distributions have lower total impacts on the ecosystem than random or uniform effort distributions. In most fisheries, the distribution of annual fishing effort within habitats is more patchy than random, and patterns of effort are maintained from year to year. Our analyses suggest that many vulnerable species and habitats have only persisted in heavily fished ecosystems because effort is patchy. Ecosystem-based fisheries management involves taking account of the ecosystem effects of fishing when setting management objectives. One step that can be taken toward ecosystem-based fisheries management is to make an a priori assessment of the ecosystem effects of proposed management actions such as catch controls, effort controls, and technical measures. We suggest a process for predicting the ecosystem consequences of management action. This requires information on habitat distributions, models to predict changes in the spatial distribution of fleets following management action, and models of the impacts of trawling disturbance on ecosystem processes. For each proposed management action, the change in disturbance affecting different habitat types would be predicted and used to forecast the consequences for the ecosystem. These simulations would be used to produce a decision table, quantifying the consequences of alternative management actions. Actions that minimize the ecosystem effects of fishing could then be identified. In data-poor situations, we suggest that management strategies that maintain or maximize the patchiness of effort within habitat types are more consistent with the precautionary approach than those that lead to more uniform fishing effort distributions.

scholarly journals Managing fisheries in a world with more sea turtles

2020 ◽  
Vol 287 (1930) ◽  
pp. 20200220
Author(s):  
Nathan F. Putman ◽  
Jesse Hawkins ◽  
Benny J. Gallaway
Keyword(s):  
Stock Assessment ◽  
Sea Turtles ◽  
Sea Turtle ◽  
Fishing Effort ◽  
Eastern United States ◽  
Green Turtles ◽  
Management Actions ◽  
Nesting Sites ◽  
Near Shore ◽  
Turtle Population

For decades, fisheries have been managed to limit the accidental capture of vulnerable species and many of these populations are now rebounding. While encouraging from a conservation perspective, as populations of protected species increase so will bycatch, triggering management actions that limit fishing. Here, we show that despite extensive regulations to limit sea turtle bycatch in a coastal gillnet fishery on the eastern United States, the catch per trip of Kemp's ridley has increased by more than 300% and green turtles by more than 650% (2001–2016). These bycatch rates closely track regional indices of turtle abundance, which are a function of increased reproductive output at distant nesting sites and the oceanic dispersal of juveniles to near shore habitats. The regulations imposed to help protect turtles have decreased fishing effort and harvest by more than 50%. Given uncertainty in the population status of sea turtles, however, simply removing protections is unwarranted. Stock-assessment models for sea turtles must be developed to determine what level of mortality can be sustained while balancing continued turtle population growth and fishing opportunity. Implementation of management targets should involve federal and state managers partnering with specific fisheries to develop bycatch reduction plans that are proportional to their impact on turtles.

Tetrachlorodibenzo--dioxins and tetrachlorodibenzofurans in Atlantic coast striped bass and in selected Hudson River fish, waterfowl and sediments

Chemosphere ◽  
1984 ◽  
Vol 13 (8) ◽  
pp. 849-860 ◽  
Author(s):  
P. O'Keefe ◽  
D. Hilker ◽  
C. Meyer ◽  
K. Aldous ◽  
L. Shane ◽  
...  
Keyword(s):  
Striped Bass ◽  
Atlantic Coast ◽  
Hudson River ◽  
River Fish

US Atlantic coast striped bass: issues with a recovered population

2003 ◽  
Vol 10 (5) ◽  
pp. 309-312 ◽  
Author(s):  
K. J. Hartman ◽  
F. J. Margraf
Keyword(s):  
Striped Bass ◽  
Atlantic Coast

Introgression of Nuclear DNA (nDNA) Alleles of Stocked Atlantic Coast Striped Bass with the Last Remaining Native Gulf of Mexico Population

2005 ◽  
Vol 25 (2) ◽  
pp. 464-474 ◽  
Author(s):  
Isaac Wirgin ◽  
Diane Currie ◽  
Nirmal Roy ◽  
Lorraine Maceda ◽  
John R. Waldman
Keyword(s):  
Gulf Of Mexico ◽  
Striped Bass ◽  
Nuclear Dna ◽  
Atlantic Coast

scholarly journals Predicting the effects of area closures and fishing effort restrictions on the production, biomass, and species richness of benthic invertebrate communities

2006 ◽  
Vol 63 (5) ◽  
pp. 822-830 ◽  
Author(s):  
J.G. Hiddink ◽  
T. Hutton ◽  
S. Jennings ◽  
M.J. Kaiser
Keyword(s):  
Species Richness ◽  
North Sea ◽  
Fishery Management ◽  
Benthic Communities ◽  
Fishing Effort ◽  
Management Actions ◽  
The North ◽  
The North Sea ◽  
Effort Reduction ◽  
Positive Effect

AbstractTo effectively implement an Ecosystem Approach to Fisheries (EAF), managers need to consider the effects of management actions on the fishery and the ecosystem. Methods for assessing the effects on target stocks are generally well developed, but methods for assessing the effects on other components and attributes of the ecosystem are not. Area closures and effort controls are widely used fishery management tools that affect the distribution of fishing effort and may therefore have consequences for a range of species and habitats. An approach is developed to predict the effects of area closures and effort control on the biomass, production, and species richness of benthic communities in the North Sea. The redistribution of beam trawling effort as a result of management action was modelled with a random utility model, assuming that fishers selected fishing grounds on the basis of their knowledge of past catch rates. The effects of trawling on benthic invertebrates were predicted using a size-based model that accounted for differences in habitat among fishing grounds. Our simulations demonstrated that closures of different sizes and in different locations could have positive or negative effects on benthic communities. These predicted effects resulted from the trade-off between recovery in the closed areas and additional trawling effects in the open areas that arose from displaced fishing activity. In the absence of effort controls, closure of lightly fished areas had the strongest positive effect on benthic communities. Effort reduction also had a positive effect. Therefore, area closures in lightly fished areas, coupled with effort reduction, are expected to minimize the effects of fishing on benthic communities. As it was not possible to access full international data for the North Sea beam trawl fleet, the results of the analyses are illustrative rather than complete. Nevertheless, what is demonstrated is an effective approach for assessing the environmental consequences of fishery management action that can be used to inform management decision-making as part of an EAF.

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