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Towards acoustic discrimination of tropical tuna associated with Fish Aggregating Devices
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Econometric methods for fractional response variables with an application to 401(k) plan participation rates
inferredcites →https://doi.org/10.1006/jmsc.1996.0027openalex-snapshot
Interpretation ofin situ target-strength data
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Potential improvements to current methods of recognizing single targets with a split-beam echo-sounder
inferredcites →https://doi.org/10.1006/jmsc.1998.0430openalex-snapshot
In situacoustic target-strength measurement of bigeye (Thunnus obesus) and yellowfin tuna (Thunnus albacares) by coupling split-beam echosounder observations and sonic tracking
inferredcites →https://doi.org/10.1006/jmsc.2000.0578openalex-snapshot
In situ acoustic target strength measurements of tuna associated with a fish aggregating device
inferredcites →https://doi.org/10.1006/jmsc.2000.0881openalex-snapshot
Tuna target-strength related to fish length and swimbladder volume
inferredcites →https://doi.org/10.1006/jmsc.2000.1009openalex-snapshot
Species identification of pelagic fish schools on the South African continental shelf using acoustic descriptors and ancillary information
inferredcites →https://doi.org/10.1006/jmsc.2001.1158openalex-snapshot
A consistent approach to definitions and symbols in fisheries acoustics
inferredcites →https://doi.org/10.1007/s00227-013-2290-9openalex-snapshot
Simultaneous behavior of skipjack (Katsuwonus pelamis), bigeye (Thunnus obsesus), and yellowfin (T. albacares) tunas, within large multi-species aggregations associated with drifting fish aggregating devices (FADs) in the equatorial eastern Pacific Ocean
inferredcites →https://doi.org/10.1016/j.fishres.2006.06.025openalex-snapshot
Acoustic characterisation of pelagic fish aggregations around moored fish aggregating devices in Martinique (Lesser Antilles)
inferredcites →https://doi.org/10.1016/j.fishres.2014.02.033openalex-snapshot
Evolution and current state of the technology of echo-sounder buoys used by Spanish tropical tuna purse seiners in the Atlantic, Indian and Pacific Oceans
inferredcites →https://doi.org/10.1016/j.fishres.2015.09.021openalex-snapshot
Fish aggregating devices (FADs) as scientific platforms
inferredcites →https://doi.org/10.1016/j.icesjms.2005.06.008openalex-snapshot
An improved multiple-frequency method for measuring in situ target strengths
inferredcites →https://doi.org/10.1016/j.icesjms.2006.05.008openalex-snapshot
Interpreting catch per unit effort data to assess the status of individual stocks and communities
inferredcites →https://doi.org/10.1016/j.jclepro.2014.05.017openalex-snapshot
Fuel performance and carbon footprint of the global purse seine tuna fleet
inferredcites →https://doi.org/10.1016/j.jembe.2013.01.005openalex-snapshot
Does social behavior influence the dynamics of aggregations formed by tropical tunas around floating objects? An experimental approach
inferredcites →https://doi.org/10.1016/j.marpol.2006.09.007openalex-snapshot
Governance of tuna industries: The key to economic viability and sustainability in the Western and Central Pacific Ocean
inferredcites →https://doi.org/10.1016/j.marpol.2009.08.003openalex-snapshot
The many faces of ecosystem-based management: Making the process work today in real places
inferredcites →https://doi.org/10.1016/j.mio.2016.09.002openalex-snapshot
Acoustic identification of marine species using a feature library
inferredcites →https://doi.org/10.1023/a:1020302414472openalex-snapshot
A general theory on fish aggregation to floating objects: An alternative to the meeting point hypothesis
inferredcites →https://doi.org/10.1038/srep36415openalex-snapshot
Population assessment of tropical tuna based on their associative behavior around floating objects
inferredcites →https://doi.org/10.1051/alr/2013046openalex-snapshot
Global spatio-temporal patterns in tropical tuna purse seine fisheries on drifting fish aggregating devices (DFADs): Taking a historical perspective to inform current challenges
inferredcites →https://doi.org/10.1051/alr:2008015openalex-snapshot
Echotrace classification and spatial distribution of pelagic fish aggregations around drifting fish aggregating devices (DFAD)
inferredcites →https://doi.org/10.1093/icesjms/fsm094openalex-snapshot
Acoustic backscatter by schools of adult Atlantic mackerel
inferredcites →https://doi.org/10.1093/icesjms/fsp070openalex-snapshot
The relative frequency response derived from individually separated targets of northeast Arctic cod (Gadus morhua), saithe (Pollachius virens), and Norway pout (Trisopterus esmarkii)
inferredcites →https://doi.org/10.1093/icesjms/fsq052openalex-snapshot
The acoustic identification of Atlantic mackerel
inferredcites →https://doi.org/10.1093/icesjms/fsu045openalex-snapshot
Scattering properties of Atlantic mackerel over a wide frequency range
inferredcites →https://doi.org/10.1093/icesjms/fsy041openalex-snapshot
Target strength of skipjack tuna (Katsuwanus pelamis) associated with fish aggregating devices (FADs)
inferredcites →https://doi.org/10.1093/icesjms/fsy046openalex-snapshot
Recent purse-seine FAD fishing strategies in the eastern Pacific Ocean: what is the appropriate number of FADs at sea?
inferredcites →https://doi.org/10.1109/tac.1974.1100705openalex-snapshot
A new look at the statistical model identification
inferredcites →https://doi.org/10.1111/fog.12173openalex-snapshot
Comparison of the behavior of skipjack (Katsuwonus pelamis), yellowfin (Thunnus albacares) and bigeye (T. obesus) tuna associated with drifting FAD s in the equatorial central Pacific Ocean
inferredcites →https://doi.org/10.1111/j.1467-2979.2006.00218.xopenalex-snapshot
Omnidirectional multibeam sonar monitoring: applications in fisheries science
inferredcites →https://doi.org/10.1111/j.1467-2979.2012.00478.xopenalex-snapshot
Is it good or bad to fish with FAD s? What are the real impacts of the use of drifting FAD s on pelagic marine ecosystems?
inferredcites →https://doi.org/10.1121/1.384452openalex-snapshot
Importance of the swimbladder in acoustic scattering by fish: A comparison of gadoid and mackerel target strengths
inferredcites →https://doi.org/10.1121/1.424802openalex-snapshot
A multiple-frequency method for potentially improving the accuracy and precision of in situ target strength measurements
inferredcites →https://doi.org/10.1121/1.426841openalex-snapshot
A multiple-frequency method for potentially improving the accuracy and precision of in situ target strength measurements
inferredcites →https://doi.org/10.1139/cjfas-2014-0458openalex-snapshot
Behaviour and vulnerability of target and non-target species at drifting fish aggregating devices (FADs) in the tropical tuna purse seine fishery determined by acoustic telemetry
inferredcites →https://doi.org/10.1139/cjfas-58-11-2149openalex-snapshot
Diagnostic tools for unbiased in situ target strength estimation
inferredcites →https://doi.org/10.1177/1536867x0800800212openalex-snapshot
Stata Tip 63: Modeling Proportions
inferredcites →https://doi.org/10.1371/journal.pone.0128023openalex-snapshot
Large-Scale Examination of Spatio-Temporal Patterns of Drifting Fish Aggregating Devices (dFADs) from Tropical Tuna Fisheries of the Indian and Atlantic Oceans
inferredcites →https://doi.org/10.1371/journal.pone.0210435openalex-snapshot
Aggregation process of drifting fish aggregating devices (DFADs) in the Western Indian Ocean: Who arrives first, tuna or non-tuna species?
inferredcites →https://doi.org/10.17895/ices.pub.25349662openalex-snapshot
A dual frequency algorithm for the identification of sandeel school echotraces
inferredcites →https://doi.org/10.17895/ices.pub.4599openalex-snapshot
Pelagic survey series for sardine and anchovy in ICES subareas 8 and 9 ? Towards an ecosystem approach
inferredcites →https://doi.org/10.25607/obp-185openalex-snapshot
Calibration of acoustic instruments.
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.4060/cc0461enopenalex-snapshot
The State of World Fisheries and Aquaculture 2022
inferredcites →https://doi.org/10.7755/fb.114.2.4openalex-snapshot
A model based on data from echosounder buoys to estimate biomass of fish species associated with fish aggregating devices
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.biocon.2021.109004openalex-snapshot
Machine learning to detect bycatch risk: Novel application to echosounder buoys data in tuna purse seine fisheries
inferred← citeshttps://doi.org/10.1016/j.fishres.2020.105613openalex-snapshot
Machine learning for characterizing tropical tuna aggregations under Drifting Fish Aggregating Devices (DFADs) from commercial echosounder buoys data
inferred← citeshttps://doi.org/10.1016/j.fishres.2022.106263openalex-snapshot
TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
inferred← citeshttps://doi.org/10.1016/j.fishres.2023.106611openalex-snapshot
A new in-situ method to estimate fish target strength reveals high variability in broadband measurements
inferred← citeshttps://doi.org/10.1016/j.fishres.2023.106895openalex-snapshot
Role of material properties in acoustical target strength: Insights from two species lacking a swimbladder
inferred← citeshttps://doi.org/10.1016/j.jtbi.2022.111163openalex-snapshot
Schooling in habitats with aggregative sites: The case of tropical tuna and floating objects
inferred← citeshttps://doi.org/10.1016/j.marpol.2019.103795openalex-snapshot
Optimization of tuna fishing logistic routes through information sharing policies: A game theory-based approach
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2021.110436openalex-snapshot
Experimental and numerical investigations of hydrodynamic response of biodegradable drifting Fish Aggregating Devices (FADs) in waves
inferred← citeshttps://doi.org/10.1016/j.ocecoaman.2025.107788openalex-snapshot
A systematic review of the impact of fish aggregating devices (FADs) in the Mediterranean Sea: Knowledge gaps and potential mitigation measures
inferred← citeshttps://doi.org/10.1051/alr/2022013openalex-snapshot
A standard processing framework for the location data of satellite-linked buoys on drifting fish aggregating devices
inferred← citeshttps://doi.org/10.1071/mf19153openalex-snapshot
In situ target strength measurement of the black triggerfish Melichthys niger and the ocean triggerfish Canthidermis sufflamen
inferred← citeshttps://doi.org/10.1093/icesjms/fsaa178openalex-snapshot
Tuna aggregation dynamics at Drifting Fish Aggregating Devices: a view through the eyes of commercial echosounder buoys
inferred← citeshttps://doi.org/10.1093/icesjms/fsaa216openalex-snapshot
Quantifying the increase in fishing efficiency due to the use of drifting FADs equipped with echosounders in tropical tuna purse seine fisheries
inferred← citeshttps://doi.org/10.1093/icesjms/fsac093openalex-snapshot
Harnessing stakeholder knowledge for the collaborative development of Mobulid bycatch mitigation strategies in tuna fisheries
inferred← citeshttps://doi.org/10.1093/icesjms/fsac226openalex-snapshot
Correction of beam overlap-induced athwart distortion in multibeam sonars
inferred← citeshttps://doi.org/10.1093/icesjms/fsae040openalex-snapshot
Target strength measurements of yellowfin tuna (Thunnus albacares) and acoustic discrimination of three tropical tuna species
inferred← citeshttps://doi.org/10.1093/icesjms/fsaf057openalex-snapshot
Codeveloping on deck conservation technology with tropical tuna purse seine fishers to mitigate elasmobranch bycatch
inferred← citeshttps://doi.org/10.1093/icesjms/fsz131openalex-snapshot
In situ target strength of bigeye tuna (Thunnus obesus) associated with fish aggregating devices
inferred← citeshttps://doi.org/10.1098/rspb.2024.1132openalex-snapshot
Direct assessment of tropical tuna abundance from their associative behaviour around floating objects
inferred← citeshttps://doi.org/10.1101/2021.09.15.460261openalex-snapshot
Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
inferred← citeshttps://doi.org/10.1101/2022.07.14.500080openalex-snapshot
How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns
inferred← citeshttps://doi.org/10.1111/faf.12813openalex-snapshot
The challenge of assessing the effects of drifting fish aggregating devices on the behaviour and biology of tropical tuna
inferred← citeshttps://doi.org/10.1111/raq.12842openalex-snapshot
Recent advances in acoustic technology for aquaculture: A review
inferred← citeshttps://doi.org/10.13000/jfmse.2024.8.36.4.643openalex-snapshot
Status of Tuna Purse Seine Fishing Operations in South Korea Within the Western and Central Pacific and Management Trends in the Use of Fishing Aggregating Devices
inferred← citeshttps://doi.org/10.13057/biodiv/d230421openalex-snapshot
Fish behavior based on the effect of variations in oceanographic condition variations in FADs Area of Bone Bay Waters, Sulawesi, Indonesia
inferred← citeshttps://doi.org/10.1590/s2675-28242020068284openalex-snapshot
Aggregative capacity of experimental anchored Fish Aggregating Devices (aFADs) in Northeastern Brazil revealed through electronic tagging data
inferred← citeshttps://doi.org/10.2139/ssrn.5392517openalex-snapshot
Comparison on the Target Strength of Albacore Tuna between Kirchhoff Approximation Model Computations and Experimental Measurements
inferred← citeshttps://doi.org/10.3354/meps14338openalex-snapshot
Aggregation dynamics of tropical tunas around drifting floating objects based on large-scale echo-sounder data
inferred← citeshttps://doi.org/10.3389/fmars.2020.00441openalex-snapshot
Seasonal Distribution of Tuna and Non-tuna Species Associated With Drifting Fish Aggregating Devices (DFADs) in the Western Indian Ocean Using Fishery-Independent Data
inferred← citeshttps://doi.org/10.35848/1347-4065/acc4ceopenalex-snapshot
Detection of fish passing through a narrow path using reflected and transmitted ultrasonic waves
inferred← citeshttps://doi.org/10.48550/arxiv.2109.06732openalex-snapshot
Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
inferred← citeshttps://doi.org/10.70675/c4299482z9e8dz404bz9d9ezfb9f0d48785dopenalex-snapshot
Derivation of a direct abundance index for tropical tunas based on their associative behavior with floating objects
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