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首页> 外文期刊>Canadian Journal of Fisheries and Aquatic Sciences >Comparative analysis of the spatial distribution of fishing effort contrasting ecological isodars and discrete choice models
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Comparative analysis of the spatial distribution of fishing effort contrasting ecological isodars and discrete choice models

机译:对比生态等值线和离散选择模型的捕捞努力空间分布的比较分析

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摘要

The spatial dynamics of catch and effort data are often overlooked in fisheries research despite its well-documented utility in understanding the distribution and abundance of fish. We apply a recently developed fisheries isodar model to an otter trawl groundfish fishery on the Scotian Shelf and compare its predictive performance with a more traditional discrete choice model random utility model. Isodars represent the expected distribution of foragers between two habitats when fitness is equal and can be a representation of the ideal free distribution. Here, fitness was defined with relative catch rates, cost differentials, and interference effects between habitats. Random utility models were constructed as mixed logit models to give the expected probability of fishing in a particular area based on a collection of predictors. The predictions of the isodar models consistently outperformed the mixed logit for both in-sample and out-of-sample forecasts and the isodar was determined to be the preferred model based on its increased accuracy and simplicity. The isodar model can provide a statistically powerful and easily implemented tool in effort studies, especially in situations of aggregated or limited data, which can inform conservation and management decisions.
机译:尽管捕捞量和努力量数据的空间动态性在了解鱼类的分布和丰富度方面有据可查的实用性,但在渔业研究中常常被忽视。我们将最近开发的渔业等距线模型应用于斯科特陆架上的水獭拖网底层鱼类渔业,并将其预测性能与更传统的离散选择模型随机效用模型进行比较。当适应度相等时,等值线表示两个生境之间的觅食者的预期分布,并且可以表示理想的自由分布。在这里,适应度定义为相对捕获率,成本差异和生境之间的干扰效应。随机效用模型被构造为混合logit模型,以便根据预测变量的集合给出特定区域内的预期捕捞概率。对于样本内和样本外预测,isodar模型的预测始终优于混合对数,并且基于isodar模型提高的准确性和简便性,确定其为首选模型。 isodar模型可以为努力研究提供统计上强大且易于实施的工具,尤其是在汇总或有限数据的情况下,可以为保护和管理决策提供依据。

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