Relative Bias in Catch Among Long-Term Fish Monitoring Surveys Within the San Francisco Estuary

Q3 Agricultural and Biological Sciences
Brock M. Huntsman, B. Mahardja, Samuel M. Bashevkin
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引用次数: 5

Abstract

Fish monitoring gears rarely capture all available fish, an inherent bias in monitoring programs referred to as catchability. Catchability is a source of bias that can be affected by numerous aspects of gear deployment (e.g., deployment speed, mesh size, and avoidance behavior). Thus, care must be taken when multiple surveys—especially those using different sampling methods—are combined to answer spatio-temporal questions about population and community dynamics. We assessed relative catchability differences among four long-term fish monitoring surveys from the San Francisco Estuary: the Bay Study Otter Trawl (BSOT), the Bay Study Midwater Trawl (BSMT), the Fall Midwater Trawl (FMWT), and the Suisun Marsh Otter Trawl (SMOT). We used generalized additive models with a spatio-temporal smoother and survey as a fixed effect to predict gear-specific estimates of catch for 45 different fish species within large and small size classes. We used estimates of the fixed effect coefficients for each survey (e.g., BSOT) relative to the reference gear (FMWT) to develop relative measures of catchability among taxa, surveys, and fish-size classes, termed the catch-ratio. We found higher relative catchability of 27%, 22%, and 57% of fish species in large size classes from the FMWT than in the BSMT, BSOT, or SMOT, respectively. In the small size class, relative catchability was higher in the FMWT than the BSMT, BSOT, or SMOT for 50%, 18%, and 25% of fish species, respectively. As expected, relative catchability of demersal species was higher in the otter trawls (BSOT, SMOT) while relative catchability of pelagic species was higher in the midwater trawls (FMWT, BSMT). Our results demonstrate that catchability is a source of bias among monitoring efforts within the San Francisco Estuary, and assuming equal catchability among surveys, species, and size classes could result in significant bias when describing spatio-temporal patterns in catch if ignored.
旧金山河口长期鱼类监测调查中的相对偏差
鱼类监测设备很少捕捉到所有可用的鱼类,这是监测程序中固有的偏见,称为可捕获性。可捕获性是一个偏差的来源,它可能受到齿轮部署的许多方面的影响(例如,部署速度,网格大小和回避行为)。因此,当多种调查——尤其是那些使用不同抽样方法的调查——结合起来回答有关人口和社区动态的时空问题时,必须小心谨慎。我们评估了旧金山河口四项长期鱼类监测调查的相对可捕性差异:海湾研究水獭拖网(BSOT),海湾研究中水拖网(BSMT),秋季中水拖网(FMWT)和suissun沼泽水獭拖网(SMOT)。我们使用具有时空平滑和调查作为固定效应的广义加性模型来预测大小类中45种不同鱼类的特定渔具捕捞量估计。我们利用每次调查(例如,BSOT)相对于参考渔具(FMWT)的固定效应系数的估计,制定了分类群、调查和鱼类大小类别之间可捕获性的相对度量,称为捕获比。我们发现,与BSMT、BSOT和SMOT相比,FMWT大鱼种中27%、22%和57%的相对可捕性更高。在小鱼种中,50%、18%和25%的鱼类在FMWT的相对可捕性分别高于BSMT、BSOT和SMOT。正如预期的那样,水獭拖网(BSOT, SMOT)的底栖物种相对可捕性更高,而中水拖网(FMWT, BSMT)的中上层物种相对可捕性更高。我们的研究结果表明,捕鱼量是旧金山河口监测工作偏差的一个来源,假设调查、物种和大小类别之间的捕鱼量相等,如果忽略的话,在描述捕鱼量的时空模式时可能会导致显著的偏差。
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来源期刊
San Francisco Estuary and Watershed Science
San Francisco Estuary and Watershed Science Environmental Science-Water Science and Technology
CiteScore
2.90
自引率
0.00%
发文量
24
审稿时长
24 weeks
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