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首页> 外文期刊>ICES Journal of Marine Science >Relating trap capture to abundance: a hierarchical state-space model applied to black sea bass (Centropristis striata)
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Relating trap capture to abundance: a hierarchical state-space model applied to black sea bass (Centropristis striata)

机译：捕集阱与丰度的关系：应用于黑鲈（Centropristis striata）的分层状态空间模型

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摘要

Traps are among the most common gears used to capture fish and crustaceans. When traps are deployed in surveys, the data gathered are often used to develop an index of abundance. However, trap catches are known to saturate over time for various reasons, such as space limitation of the gear or intraspecific interactions, and these features can dissociate the catch from local abundance. In this study, we develop a hierarchical state-space model of trap dynamics that is fit to data in a Bayesian framework. The model links trap catch to estimated local abundance, and additionally provides direct estimates of capture probability. For demonstration, we apply the model to data on black sea bass (Centropristis striata), which were collected using chevron traps combined with video cameras to give continuous-time observations of trap entries and exits. Results are consistent with the hypothesis that trap catch is generally proportional to local abundance. The model has potential application to surveys where animals not only enter a trap, but also may exit, such that the apparent trap saturation occurs because the system approaches equilibrium.
机译：陷阱是用于捕获鱼类和甲壳类动物的最常见工具。在调查中部署陷阱时，通常将收集到的数据用于建立丰度指标。但是，由于各种原因（例如齿轮的空间限制或种内相互作用），陷阱捕获器会随着时间的推移而饱和，并且这些特征会使捕获器脱离局部丰度。在这项研究中，我们开发了陷阱动力学的分层状态空间模型，该模型适合于贝叶斯框架中的数据。该模型将陷阱捕获量与估计的局部丰度关联起来，并另外提供捕获概率的直接估计值。为了演示，我们将该模型应用于黑鲈（Centropristis striata）的数据，这些数据是使用V形陷阱与摄像机相结合收集的，以连续时间观察陷阱的出入口。结果与捕集阱捕获通常与局部丰度成正比的假设相符。该模型在动物不仅进入陷阱而且可能退出的调查中具有潜在的应用前景，因为系统趋于平衡，因此出现了明显的陷阱饱和。

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