Validation approaches of a geolocation framework to reconstruct movements of demersal fish equipped with data storage tags in a stratified environment-Reference-Cited by-同舟云学术

Validation approaches of a geolocation framework to reconstruct movements of demersal fish equipped with data storage tags in a stratified environment

Published:2021-05 Issue: Volume:237 Page:105884
ISSN:0165-7836
Container-title:Fisheries Research
language:en
Short-container-title:Fisheries Research

Author:

Haase Stefanie^ORCID,Krumme Uwe,Gräwe Ulf,Braun Camrin D.,Temming Axel^ORCID

Publisher

Elsevier BV

Subject

Aquatic Science

Reference43 articles.

1. Using the particle filter to geolocate Atlantic cod (Gadus morhua) in the Baltic Sea, with special emphasis on determining uncertainty;Andersen;Can. J. Fish. Aquat. Sci.,2007

2. Electronic tags in Marine fisheries research: a 30-year perspective;Arnold,2001

3. Vertical movements of a pelagic thresher shark (Alopias pelagicus): insights into the species’ physiological limitations and trophic ecology in the Red Sea. Endanger;Arostegui;Species Res.,2020

4. Return migration patterns of porbeagle shark (Lamna nasus) in the Northeast Atlantic: implications for stock range and structure;Biais;ICES J. Mar. Sci.,2017

5. Electronic tagging and population structure of Atlantic bluefin tuna;Block;Nature,2005

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Long-distance migrations and seasonal movements of meagre (Argyrosomus regius), a large coastal predator, along the Iberian Peninsula coast;Movement Ecology;2024-05-09

2. Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska);Animal Biotelemetry;2023-07-26

3. Seasonal migration, site fidelity, and population structure of European seabass (Dicentrarchus labrax);ICES Journal of Marine Science;2023-06-05

4. Development and parameterization of a data likelihood model for geolocation of a bentho-pelagic fish in the North Pacific Ocean;Ecological Modelling;2023-04

5. Hidden Markov models: Pitfalls and opportunities in ecology;Methods in Ecology and Evolution;2022-02-05