Rapid inference of larval fish recruitment potential from size spectrum models.

IF 1.9 2区 农林科学 Q2 FISHERIES
Charles Hinchliffe, H. Schilling, Pierre Pepin, Fonti Kar, Daniel S Falster, I. Suthers
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引用次数: 0

Abstract

The ratio of mortality to growth of larval fish provides a metric of a cohort’s ‘recruitment potential’. Estimating recruitment potential is arduous, requiring growth and mortality to be estimated independently. Here, we propose using the exponent of size spectrum models to indicate recruitment potential from body measurement data alone. This approach has several advantages including 1) reducing data collection times, 2) removing uncertainty in estimates generated from age estimation, and 3) allowing re-analysis of larval fish databases or archived collections. To test the validity of this approach, we conduct simulations comparing estimates of recruitment potential from an abundance spectrum model with other common methods. By varying larval flux rates, growth, mortality, and measurement error, we show the abundance spectrum model is more accurate and precise at smaller sample sizes, and more robust to variance in individual rates and measurement error of ages, but more susceptible to measurement error of size. We highlight that a size-based approach to estimating recruitment potential provides another useful tool for understanding larval survival, reducing resource demands on research compared to traditional methods.
从大小谱模型中快速推断幼鱼繁殖潜力。
幼鱼的死亡率与生长率之比,是衡量鱼群 "增殖潜力 "的指标。估算招募潜力是一项艰巨的工作,需要对生长和死亡率进行独立估算。在此,我们建议使用体型谱模型的指数,仅通过体型测量数据来显示招募潜力。这种方法有几个优点,包括:1)减少数据收集时间;2)消除年龄估算产生的不确定性;3)允许对幼鱼数据库或存档收集的数据进行重新分析。为了检验这种方法的有效性,我们进行了模拟试验,比较了丰度谱模型与其他常用方法对招募潜力的估计值。通过改变幼体通量率、生长率、死亡率和测量误差,我们发现丰度谱模型在样本量较小的情况下更准确、更精确,对个体率差异和年龄测量误差更稳健,但更容易受到体型测量误差的影响。我们强调,与传统方法相比,基于体型估计招募潜力的方法为了解幼虫存活情况提供了另一种有用的工具,减少了对研究资源的需求。
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来源期刊
Canadian Journal of Fisheries and Aquatic Sciences
Canadian Journal of Fisheries and Aquatic Sciences 农林科学-海洋与淡水生物学
CiteScore
4.60
自引率
12.50%
发文量
148
审稿时长
6-16 weeks
期刊介绍: The Canadian Journal of Fisheries and Aquatic Sciences is the primary publishing vehicle for the multidisciplinary field of aquatic sciences. It publishes perspectives (syntheses, critiques, and re-evaluations), discussions (comments and replies), articles, and rapid communications, relating to current research on -omics, cells, organisms, populations, ecosystems, or processes that affect aquatic systems. The journal seeks to amplify, modify, question, or redirect accumulated knowledge in the field of fisheries and aquatic science.
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