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Validation approaches of a geolocation framework to reconstruct movements of demersal fish equipped with data storage tags in a stratified environment
Fisheries Research ( IF 2.4 ) Pub Date : 2021-02-03 , DOI: 10.1016/j.fishres.2021.105884
Stefanie Haase , Uwe Krumme , Ulf Gräwe , Camrin D. Braun , Axel Temming

Geolocation models are essential tools to derive detailed information on the movement patterns of demersal fish equipped with data storage tags recording temperature and depth. However, modelled horizontal positions are accompanied by an often unknown error which needs to be assessed to support the appropriate interpretation. We conducted five validation experiments in the southern Baltic Sea comprising a) simulated tracks, b) stationary, nearshore moored tags, c) temperature data from an automated offshore measuring station, d) a temperature-depth probe mounted to an otter board of a commercial vessel and e) tags mounted to the conductivity-temperature-depth probe (CTD) and the otter board of a survey vessel to obtain temperature-depth data from known locations. Using depth-temperature data from each experiment, we calculated modelled positions using an adapted R-package HMMoce model framework. These experiments allowed us to compare true and modelled positions to quantify model performance and assess its potential efficacy for future geolocation studies on tagged cod. Correctly modelled start and end positions were a good indicator for all validation methods; modelled and true tracks were generally similar with differences in daily positions varying on average between 2 and 19 km. The performance of the geolocation model was improved when temperature-depth profiles indicated heterogeneity in the oceanographic environment, particularly in stratified water columns. The validation methods confirmed that the modified HMMoce framework could be used as a geolocation tool for Eastern Baltic cod when an uncertainty of less than 20 km from the true position is acceptable. Since all presented methods are cost-effective, transparent, open source and reproducible, they can be routinely applied to understand expected model uncertainties and thus make more robust inference about movements of tagged fish.



中文翻译:

在分层环境中重构配备数据存储标签的沉鱼运动的地理定位框架的验证方法

地理位置模型是必不可少的工具,可用于获取有关配有记录温度和深度的数据存储标签的深海鱼类运动模式的详细信息。但是,建模的水平位置会伴随一个通常未知的错误,需要对其进行评估以支持适当的解释。我们在波罗的海南部进行了五个验证实验,包括a)模拟航迹,b)固定的近岸系泊标签,c)来自自动海上测量站的温度数据,d)安装在商用水獭板上的温度深度探头e)标签安装在电导率-温度-深度探针(CTD)和测量容器的水獭板上,以从已知位置获取温度-深度数据。使用每个实验的深度温度数据,HMMoce模型框架。这些实验使我们能够比较真实位置和建模位置,以量化模型性能并评估其对未来标记鳕鱼地理定位研究的潜在功效。正确建模的起点和终点位置是所有验证方法的良好指标;模拟和真实轨迹通常相似,每日位置差异平均在2至19 km之间。当温度深度剖面显示海洋环境中的异质性时,尤其是在分层水柱中,地理位置模型的性能得到了改善。验证方法证实了修改后的HMMoce当与真实位置相距小于20 km的不确定性可接受时,该框架可用作东部波罗的海鳕鱼的地理定位工具。由于所有提出的方法都是具有成本效益的,透明的,开源的且可重现的,因此可以将它们常规地用于理解预期的模型不确定性,从而对标记鱼的运动做出更可靠的推断。

更新日期:2021-02-03
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