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8 results on '"animal telemetry"'

1. Global trends in aquatic animal tracking with acoustic telemetry.

Author

Matley JK, Klinard NV, Barbosa Martins AP, Aarestrup K, Aspillaga E, Cooke SJ, Cowley PD, Heupel MR, Lowe CG, Lowerre-Barbieri SK, Mitamura H, Moore JS, Simpfendorfer CA, Stokesbury MJW, Taylor MD, Thorstad EB, Vandergoot CS, and Fisk AT

Subjects
Acoustics, Animals, Conservation of Natural Resources methods, Telemetry methods, Ecosystem, Fisheries
Abstract

Acoustic telemetry (AT) is a rapidly evolving technique used to track the movements of aquatic animals. As the capacity of AT research expands it is important to optimize its relevance to management while still pursuing key ecological questions. A global review of AT literature revealed region-specific research priorities underscoring the breadth of how AT is applied, but collectively demonstrated a lack of management-driven objectives, particularly relating to fisheries, climate change, and protection of species. In addition to the need for more research with direct pertinence to management, AT research should prioritize ongoing efforts to create collaborative opportunities, establish long-term and ecosystem-based monitoring, and utilize technological advancements to bolster aquatic policy and ecological understanding worldwide., Competing Interests: Declaration of interests There are no interests to declare., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2022
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2. Understanding the ontogeny of foraging behaviour: insights from combining marine predator bio-logging with satellite-derived oceanography in hidden Markov models.

Author

Grecian WJ, Lane JV, Michelot T, Wade HM, and Hamer KC

Subjects
Animals, Markov Chains, Oceanography, Birds physiology, Ecosystem, Feeding Behavior, Predatory Behavior
Abstract

The development of foraging strategies that enable juveniles to efficiently identify and exploit predictable habitat features is critical for survival and long-term fitness. In the marine environment, meso- and sub-mesoscale features such as oceanographic fronts offer a visible cue to enhanced foraging conditions, but how individuals learn to identify these features is a mystery. In this study, we investigate age-related differences in the fine-scale foraging behaviour of adult (aged ≥ 5 years) and immature (aged 2-4 years) northern gannets Morus bassanus Using high-resolution GPS-loggers, we reveal that adults have a much narrower foraging distribution than immature birds and much higher individual foraging site fidelity. By conditioning the transition probabilities of a hidden Markov model on satellite-derived measures of frontal activity, we then demonstrate that adults show a stronger response to frontal activity than immature birds, and are more likely to commence foraging behaviour as frontal intensity increases. Together, these results indicate that adult gannets are more proficient foragers than immatures, supporting the hypothesis that foraging specializations are learned during individual exploratory behaviour in early life. Such memory-based individual foraging strategies may also explain the extended period of immaturity observed in gannets and many other long-lived species., (© 2018 The Authors.)

Published
2018
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3. Ocean-wide tracking of pelagic sharks reveals extent of overlap with longline fishing hotspots.

Author

Queiroz N, Humphries NE, Mucientes G, Hammerschlag N, Lima FP, Scales KL, Miller PI, Sousa LL, Seabra R, and Sims DW

Subjects
Animals, Geography, Seasons, Ships, Time Factors, Ecosystem, Fisheries, Oceans and Seas, Satellite Communications, Sharks physiology
Abstract

Overfishing is arguably the greatest ecological threat facing the oceans, yet catches of many highly migratory fishes including oceanic sharks remain largely unregulated with poor monitoring and data reporting. Oceanic shark conservation is hampered by basic knowledge gaps about where sharks aggregate across population ranges and precisely where they overlap with fishers. Using satellite tracking data from six shark species across the North Atlantic, we show that pelagic sharks occupy predictable habitat hotspots of high space use. Movement modeling showed sharks preferred habitats characterized by strong sea surface-temperature gradients (fronts) over other available habitats. However, simultaneous Global Positioning System (GPS) tracking of the entire Spanish and Portuguese longline-vessel fishing fleets show an 80% overlap of fished areas with hotspots, potentially increasing shark susceptibility to fishing exploitation. Regions of high overlap between oceanic tagged sharks and longliners included the North Atlantic Current/Labrador Current convergence zone and the Mid-Atlantic Ridge southwest of the Azores. In these main regions, and subareas within them, shark/vessel co-occurrence was spatially and temporally persistent between years, highlighting how broadly the fishing exploitation efficiently "tracks" oceanic sharks within their space-use hotspots year-round. Given this intense focus of longliners on shark hotspots, our study argues the need for international catch limits for pelagic sharks and identifies a future role of combining fine-scale fish and vessel telemetry to inform the ocean-scale management of fisheries.

Published
2016
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4. Estimating animal resource selection from telemetry data using point process models.

Author

Johnson DS, Hooten MB, and Kuhn CE

Subjects
Alaska, Animals, Ecology methods, Ecosystem, Fur Seals physiology, Models, Biological, Telemetry
Abstract

1. Analyses of animal resource selection functions (RSF) using data collected from relocations of individuals via remote telemetry devices have become commonplace. Increasing technological advances, however, have produced statistical challenges in analysing such highly autocorrelated data. Weighted distribution methods have been proposed for analysing RSFs with telemetry data. However, they can be computationally challenging due to an intractable normalizing constant and cannot be aggregated (i.e. collapsed) over time to make space-only inference. 2. In this study, we take a conceptually different approach to modelling animal telemetry data for making RSF inference. We consider the telemetry data to be a realization of a space-time point process. Under the point process paradigm, the times of the relocations are also considered to be random rather than fixed. 3. We show the point process models we propose are a generalization of the weighted distribution telemetry models. By generalizing the weighted model, we can access several numerical techniques for evaluating point process likelihoods that make use of common statistical software. Thus, the analysis methods can be readily implemented by animal ecologists. 4. In addition to ease of computation, the point process models can be aggregated over time by marginalizing over the temporal component of the model. This allows a full range of models to be constructed for RSF analysis at the individual movement level up to the study area level. 5. To demonstrate the analysis of telemetry data with the point process approach, we analysed a data set of telemetry locations from northern fur seals (Callorhinus ursinus) in the Pribilof Islands, Alaska. Both a space-time and an aggregated space-only model were fitted. At the individual level, the space-time analysis showed little selection relative to the habitat covariates. However, at the study area level, the space-only model showed strong selection relative to the covariates., (© 2013 The Authors. Journal of Animal Ecology © 2013 British Ecological Society.)

Published
2013
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5. Forecasting intraspecific changes in distribution of a wide-ranging marine predator under climate change

Author

Paul A. Butcher, Adam Barnett, Robert Harcourt, Yuri Niella, and Bonnie J. Holmes

Subjects
Male, food.ingredient, Range (biology), Climate Change, Effects of global warming on oceans, Climate change, Intraspecific competition, Predation, Environmental correlates, food, East Australian Current, Animals, Humans, Animal telemetry, Tiger shark, Ecosystem, Ecology, Evolution, Behavior and Systematics, biology, Ecology, Temperature, Species distribution model, Galeocerdo, biology.organism_classification, Population Ecology–Original Research, Habitat, Sharks, Shark–human interaction, Female, Galeocerdo cuvier, Animal Distribution
Abstract

Globally, marine animal distributions are shifting in response to a changing climate. These shifts are usually considered at the species level, but individuals are likely to differ in how they respond to the changing conditions. Here, we investigate how movement behaviour and, therefore, redistribution, would differ by sex and maturation class in a wide-ranging marine predator. We tracked 115 tiger sharks (Galeocerdo cuvier) from 2002 to 2020 and forecast class-specific distributions through to 2030, including environmental factors and predicted occurrence of potential prey. Generalised Linear and Additive Models revealed that water temperature change, particularly at higher latitudes, was the factor most associated with shark movements. Females dispersed southwards during periods of warming temperatures, and while juvenile females preferred a narrow thermal range between 22 and 23 °C, adult female and juvenile male presence was correlated with either lower ( 23 °C) temperatures. During La Niña, sharks moved towards higher latitudes and used shallower isobaths. Inclusion of predicted distribution of their putative prey significantly improved projections of suitable habitats for all shark classes, compared to simpler models using temperature alone. Tiger shark range off the east coast of Australia is predicted to extend ~ 3.5° south towards the east coast of Tasmania, particularly for juvenile males. Our framework highlights the importance of combining long-term movement data with multi-factor habitat projections to identify heterogeneity within species when predicting consequences of climate change. Recognising intraspecific variability will improve conservation and management strategies and help anticipate broader ecosystem consequences of species redistribution due to ocean warming. Supplementary Information The online version contains supplementary material available at 10.1007/s00442-021-05075-7.

Published
2021

6. Global trends in aquatic animal tracking with acoustic telemetry

Author

Michael J. W. Stokesbury, Paul D. Cowley, Christopher S. Vandergoot, Susan K. Lowerre-Barbieri, Jordan K. Matley, Christopher G. Lowe, Eneko Aspillaga, Ana Paula Barbosa Martins, Jean Sébastien Moore, Michelle R. Heupel, Steven J. Cooke, Hiromichi Mitamura, Natalie V. Klinard, Colin A. Simpfendorfer, Aaron T. Fisk, Matthew D. Taylor, Kim Aarestrup, and Eva B. Thorstad

Subjects
Conservation of Natural Resources, biotelemetry, Fisheries, Aquatic monitoring, Climate change, Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP], Conservation, Teknologi: 500 [VDP], Movement ecology, Telemetry, SDG 13 - Climate Action, Animals, Resource management, Relevance (information retrieval), resource management, Animal telemetry, Environmental planning, Biotelemetry, Ecosystem, Ecology, Evolution, Behavior and Systematics, conservation, Aquatic animal, Acoustics, aquatic monitoring, acoustic telemetry AT, movement ecology, Tracking (education), Business, telemtry, animal telemetry
Abstract

Acoustic telemetry (AT) is a rapidly evolving technique used to track the movements of aquatic animals. As the capacity of AT research expands it is important to optimize its relevance to management while still pursuing key ecological questions. A global review of AT literature revealed region-specific research priorities underscoring the breadth of how AT is applied, but collectively demonstrated a lack of management-driven objectives, particularly relating to fisheries, climate change, and protection of species. In addition to the need for more research with direct pertinence to management, AT research should prioritize ongoing efforts to create collaborative opportunities, establish long-term and ecosystem-based monitoring, and utilize technological advancements to bolster aquatic policy and ecological understanding worldwide.

Published
2022

7. Animal-Borne Telemetry: An Integral Component of the Ocean Observing Toolkit

Author

Rob Harcourt, Ana M. M. Sequeira, Xuelei Zhang, Fabien Roquet, Kosei Komatsu, Michelle Heupel, Clive McMahon, Fred Whoriskey, Mark Meekan, Gemma Carroll, Stephanie Brodie, Colin Simpfendorfer, Mark Hindell, Ian Jonsen, Daniel P. Costa, Barbara Block, Mônica Muelbert, Bill Woodward, Mike Weise, Kim Aarestrup, Martin Biuw, Lars Boehme, Steven J. Bograd, Dorian Cazau, Jean-Benoit Charrassin, Steven J. Cooke, Paul Cowley, P. J. Nico de Bruyn, Tiphaine Jeanniard du Dot, Carlos Duarte, Víctor M. Eguíluz, Luciana C. Ferreira, Juan Fernández-Gracia, Kimberly Goetz, Yusuke Goto, Christophe Guinet, Mike Hammill, Graeme C. Hays, Elliott L. Hazen, Luis A. Hückstädt, Charlie Huveneers, Sara Iverson, Saifullah Arifin Jaaman, Kongkiat Kittiwattanawong, Kit M. Kovacs, Christian Lydersen, Tim Moltmann, Masaru Naruoka, Lachlan Phillips, Baptiste Picard, Nuno Queiroz, Gilles Reverdin, Katsufumi Sato, David W. Sims, Eva B. Thorstad, Michele Thums, Anne M. Treasure, Andrew W. Trites, Guy D. Williams, Yoshinari Yonehara, Mike A. Fedak, Department of Biological Sciences [North Ryde], Macquarie University, The University of Western Australia Oceans Institute and School of Biological Sciences [Australia], The University of Western Australia (UWA), First Institute of Oceanography [China], Equipe Physique de l'Ocean Austral (DMPA), Graduate School of Frontier Sciences [Kashiwa], The University of Tokyo, Australian Institute of Marine Science (AIMS), University of Sydney Institute of Marine Science (USIMS), The University of Sydney, Ocean Tracking network, Dalhousie University, Australian Institute of Marine Science [Perth] (AIMS Perth), Environmental Research Division [USA], NOAA Southwest Fisheries Science Center [USA], James Cook University (JCU), Institute for Marine and Antarctic Studies [Horbat] (IMAS), University of Tasmania (UTAS), LaSIGE [Lisboa], Universidade de Lisboa (ULISBOA)-Faculdade de Ciências, Stanford Woods Institute for the Environment [USA], Stanford Woods Institute for the Environment, Instituto de Oceanografia, Universidade Federal do Rio Grande, NOAA Integrated Ocean Observing System (IOOS), National Oceanic and Atmospheric Administration (NOAA), Office of Naval Research [USA], National Institute of Aquatic Resources, Technical University of Denmark [Lyngby] (DTU), NERC Sea Mammal Research Unit (NERC Sea Mammal Research Unit), NERC, Sea Mammal Research Unit (SMRU), University of Saint Andrews, Lab-STICC_ENSTAB_CID_TOMS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Fish Ecology and Conservation Physiology Laboratory, Carleton University, South African Institute for Aquatic Biodiversity (SAIAB), South African Institute for Aquatic Biodiversity, Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR), Department of Global Change Research, Institut Mediterrani d´Estudis Avançats (IMEDEA), Institut Mediterrani d'Estudis Avancats (IMEDEA), Consejo Superior de Investigaciones Científicas [Spain] (CSIC)-Universidad de las Islas Baleares (UIB)-Consejo Superior de Investigaciones Científicas [Spain] (CSIC)-Universidad de las Islas Baleares (UIB), CSIC-UIB, IFISC, CSIRO Indian Ocean Marine Research Centre [Australia], Instituto de Fısica Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Universitat de les Illes Balears (UIB), Atmosphere and Ocean Research Institute, University of Tokyo, Centre d'études biologiques de Chizé (CEBC), Centre National de la Recherche Scientifique (CNRS), Fisheries and Oceans Canada, Maurice Lamontagne Institute, School of Life and Environmental Sciences [Australia], School of Life and Environmental Sciences Deakin University, Department of Ecology and Evolutionary Biology (University of California Santa Cruz), University of California [Santa Cruz] (UCSC), University of California-University of California, South Australian Research and Development Institute, Malaysia Institute of Oceanography, University of Malaysia, Phuket Marine Biological Center (PMBC), FRAM Centre, Norwegian Polar Institute, Integrated Marine Observing System, Aeronautical Technology Directorate [Japan], Japan Aerospace Exploration Agency, Centro de Investigação em Biodiversidade e Recursos Genéticos/Research Network in Biodiversity and Evolutionary Biology [Portugal], Campus Agrário de Vairão, Universidade do Porto, Processus et interactions de fine échelle océanique (PROTEO), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), National Insitute of Polar Research, National Institute of Polar Research [Tokyo] (NiPR), Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, Chester Beatty Laboratories, Norwegian Institute for Nature Research (NINA), Department of Oceanography and Marine Research Institute, University of Cape Town, Fisheries Centre (Marine Mammal Research Unit), University of British Columbia (UBC), Department of Marine Sciences [Gothenburg], University of Gothenburg (GU), Department of Ecology and Evolutionary Biology [Santa Cruz], Scottish Oceans Institute, University of St Andrews [Scotland], École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Sorbonne Université (SU), Department of Zoology and Entomology University of Pretoria, Red Sea Research Centre (RSRC), King Abdullah University of Science and Technology (KAUST), National Institute of Water & Atmospheric Research Ltd [New Zealand], Marine Biological Association of the UK, The University of Tokyo (UTokyo), Southwest Fisheries Science Center (SWFSC), NOAA National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA)-NOAA National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), University of Tasmania [Hobart, Australia] (UTAS), Sea Mammal Research Unit [University of St Andrews] (SMRU), School of Biology [University of St Andrews], University of St Andrews [Scotland]-University of St Andrews [Scotland]-Natural Environment Research Council (NERC), Department of Zoology and Entomology [Pretoria], University of Pretoria [South Africa], Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Universidad de las Islas Baleares (UIB)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Universidad de las Islas Baleares (UIB), National Institute of Water and Atmospheric Research [Wellington] (NIWA), Universidade do Porto, Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Institute for Marine and Antarctic Studies [Hobart] (IMAS), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC)-University of California (UC), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), National Research Foundation [South Africa] (NRF), Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), and Universidade do Porto = University of Porto

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, lcsh:QH1-199.5, Home range, [SDV]Life Sciences [q-bio], Big data, Ocean Engineering, Aquatic Science, lcsh:General. Including nature conservation, geographical distribution, movement analysis, Oceanography, 01 natural sciences, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Telemetry, Ecosystem, SDG 14 - Life Below Water, 14. Life underwater, Animal telemetry, lcsh:Science, Animal movement, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Water Science and Technology, Remote sensing, Abiotic component, Global and Planetary Change, geography, ocean observing, geography.geographical_feature_category, business.industry, Continental shelf, 010604 marine biology & hydrobiology, [SDV.BA]Life Sciences [q-bio]/Animal biology, EOV, Sampling (statistics), animal movement, Habitat, 13. Climate action, [SDE]Environmental Sciences, Environmental science, lcsh:Q, business, animal telemetry
Abstract

International audience; Animal telemetry is a powerful tool for observing marine animals and the physical environments that they inhabit, from coastal and continental shelf ecosystems to polar seas and open oceans. Satellite-linked biologgers and networks of acoustic receivers allow animals to be reliably monitored over scales of tens of meters to thousands of kilometers, giving insight into their habitat use, home range size, the phenology of migratory patterns and the biotic and abiotic factors that drive their distributions. Furthermore, physical environmental variables can be collected using animals as autonomous sampling platforms, increasing spatial and temporal coverage of global oceanographic observation systems. The use of animal telemetry, therefore, has the capacity to provide measures from a suite of essential ocean variables (EOVs) for improved monitoring of Earth's oceans. Here we outline the design features of animal telemetry systems, describe current applications and their benefits and challenges, and discuss future directions. We describe new analytical techniques that improve our ability to not only quantify animal movements but to also provide a powerful framework for comparative studies across taxa. We discuss the application of animal telemetry and its capacity to collect biotic and abiotic data, how the data collected can be incorporated into ocean observing systems, and the role these data can play in improved ocean management.

Published
2019

8. Understanding the ontogeny of foraging behaviour: insights from combining marine predator bio-logging with satellite-derived oceanography in hidden Markov models

Author

Théo Michelot, Keith C. Hamer, Helen M. Wade, W. James Grecian, Jude V. Lane, NERC, University of St Andrews. School of Biology, University of St Andrews. Sea Mammal Research Unit, and University of St Andrews. Scottish Oceans Institute

Subjects
0106 biological sciences, Computer science, QH301 Biology, Oceanography, 01 natural sciences, Biochemistry, Movement ecology, foraging ecology, QA, Hidden Markov model, Predator, GC, learning, Ecology, Logging, Markov Chains, Habitat, movement ecology, GC Oceanography, Foraging ecology, Biotechnology, Research Article, Exploit, Foraging, finite-size Lyapunov exponent, Biomedical Engineering, Biophysics, Bioengineering, 010603 evolutionary biology, Biomaterials, Birds, QH301, Marine vertebrate, Learning, Animals, Animal telemetry, QA Mathematics, SDG 14 - Life Below Water, Ecosystem, 010604 marine biology & hydrobiology, DAS, Feeding Behavior, Predatory Behavior, marine vertebrate, Satellite, Finite-size Lyapunov exponent, Life Sciences–Mathematics interface, animal telemetry
Abstract

This work was funded by the Natural Environment Research Council and the Department for Business, Energy and Industrial Strategy. The development of foraging strategies that enable juveniles to efficiently identify and exploit predictable habitat features is critical for survival and long-term fitness. In the marine environment, meso- and sub-mesoscale features such as oceanographic fronts offer a visible cue to enhanced foraging conditions, but how individuals learn to identify these features is a mystery. In this study, we investigate age-related differences in the fine-scale foraging behaviour of adult (aged ≥ 5 years) and immature (aged 2-4 years) northern gannets Morus bassanus. Using high-resolution GPS-loggers, we reveal that adults have a much narrower foraging distribution than immature birds and much higher individual foraging site fidelity. By conditioning the transition probabilities of a hidden Markov model on satellite-derived measures of frontal activity, we then demonstrate that adults show a stronger response to frontal activity than immature birds, and are more likely to commence foraging behaviour as frontal intensity increases. Together, these results indicate that adult gannets are more proficient foragers than immatures, supporting the hypothesis that foraging specialisations are learned during individual exploratory behaviour in early life. Such memory-based individual foraging strategies may also explain the extended period of immaturity observed in gannets and many other long-lived species. Publisher PDF

Published
2018

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