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Options for Estimating Striped Bass Catch and Harvest: Effectiveness of Creel Surveys

机译:估算条纹低音捕获和收获的选项:克雷斯调查的有效性

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Striped bass Morone saxatilis 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 Morone 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 unequalspatial 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.
机译:除了在众多内陆州提供众多娱乐水库渔业之外,条纹Bass Morone Saxatilis还提供了许多大西洋沿岸国家的重要商业和娱乐渔业。渔业依赖数据的测量,如收获,捕获和努力,对于确定管理行为是否有效至关重要。许多州,包括德克萨斯州,使用CREEL调查方法来测量娱乐钓鱼者的条纹低音捕获和努力统计。然而,先前尚未进行系统概述各种类型的令人吱吱声调查的性能,或者令人畏缩的低音捕获和努力。在许多状态下,使用粗纱和访问次段调查,并且可以使用不等概率分配努力。在肥胖的渔业中的渔业中,这些鱼的调查统计数据通常具有高相对标准误差(RSE),从30%到115%。随着指示的努力增加,RSE通常会降低;在具有在条纹低音指导的高钓鱼努力的系统中,RSE在德克萨斯州德克萨斯州德列萨克湖,德克萨斯州苏州苏州湖中的18%。我们在整个美国中使用条纹低音克雷斯调查中的这些和其他数据来评估各种方法的估计可靠性。我们建议采取调查努力与钓鱼努力一致。虽然可以通过增加专门用于当前令人诗令调查的人力量的数量来提高精度,但是分层或使用不平等的空缺和时间概率是更有可能以经济高效的方式提高精度的技术。一旦收集数据,我们就会显示如何使用基于模型的估计,例如使用卡尔曼过滤器或经验贝叶斯估计,也可能证明有利。

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