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11 results on '"animal telemetry"'

1. Modular E-Collar for Animal Telemetry: An Animal-Centered Design Proposal.

Author

Siguín M, Blanco T, Rossano F, and Casas R

Subjects
Animals, Humans, Splints, Printing, Three-Dimensional, Telemetry
Abstract

Animal telemetry is a subject of great potential and scientific interest, but it shows design-dependent problems related to price, flexibility and customization, autonomy, integration of elements, and structural design. The objective of this paper is to provide solutions, from the application of design, to cover the niches that we discovered by reviewing the scientific literature and studying the market. The design process followed to achieve the objective involved a development based on methodologies and basic design approaches focused on the human experience and also that of the animal. We present a modular collar that distributes electronic components in several compartments, connected, and powered by batteries that are wirelessly recharged. Its manufacture is based on 3D printing, something that facilitates immediacy in adaptation and economic affordability. The modularity presented by the proposal allows for adapting the size of the modules to the components they house as well as selecting which specific modules are needed in a project. The homogeneous weight distribution is transferred to the comfort of the animal and allows for a better integration of the elements of the collar. This device substantially improves the current offer of telemetry devices for farming animals, thanks to an animal-centered design process.

Published
2021
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2. Acoustic telemetry and network analysis reveal the space use of multiple reef predators and enhance marine protected area design.

Author

Lea JS, Humphries NE, von Brandis RG, Clarke CR, and Sims DW

Subjects
Animals, Indian Ocean, Conservation of Natural Resources methods, Coral Reefs, Sharks, Telemetry, Turtles
Abstract

Marine protected areas (MPAs) are commonly employed to protect ecosystems from threats like overfishing. Ideally, MPA design should incorporate movement data from multiple target species to ensure sufficient habitat is protected. We used long-term acoustic telemetry and network analysis to determine the fine-scale space use of five shark and one turtle species at a remote atoll in the Seychelles, Indian Ocean, and evaluate the efficacy of a proposed MPA. Results revealed strong, species-specific habitat use in both sharks and turtles, with corresponding variation in MPA use. Defining the MPA's boundary from the edge of the reef flat at low tide instead of the beach at high tide (the current best in Seychelles) significantly increased the MPA's coverage of predator movements by an average of 34%. Informed by these results, the larger MPA was adopted by the Seychelles government, demonstrating how telemetry data can improve shark spatial conservation by affecting policy directly., (© 2016 The Author(s).)

Published
2016
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3. 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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4. Modular E-Collar for Animal Telemetry: An Animal-Centered Design Proposal

Author

Siguín, Marta, Blanco, Teresa, Rossano, Federico, and Casas, Roberto

Subjects
Engineering, Electrical Engineering, Electronics, Sensors and Digital Hardware, Bioengineering, Animals, Humans, Printing, Three-Dimensional, Splints, Telemetry, wearables design, animal farming, animal-centered design, animal telemetry, modularity, smart collar, design contributions, additive manufacturing, Analytical Chemistry, Environmental Science and Management, Ecology, Distributed Computing, Electrical and Electronic Engineering, Electrical engineering, Electronics, sensors and digital hardware, Environmental management, Distributed computing and systems software
Abstract

Animal telemetry is a subject of great potential and scientific interest, but it shows design-dependent problems related to price, flexibility and customization, autonomy, integration of elements, and structural design. The objective of this paper is to provide solutions, from the application of design, to cover the niches that we discovered by reviewing the scientific literature and studying the market. The design process followed to achieve the objective involved a development based on methodologies and basic design approaches focused on the human experience and also that of the animal. We present a modular collar that distributes electronic components in several compartments, connected, and powered by batteries that are wirelessly recharged. Its manufacture is based on 3D printing, something that facilitates immediacy in adaptation and economic affordability. The modularity presented by the proposal allows for adapting the size of the modules to the components they house as well as selecting which specific modules are needed in a project. The homogeneous weight distribution is transferred to the comfort of the animal and allows for a better integration of the elements of the collar. This device substantially improves the current offer of telemetry devices for farming animals, thanks to an animal-centered design process.

Published
2022

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

Author

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

Subjects
*ANIMAL tracks, *TELEMETRY, *WILDLIFE conservation, *ANIMAL mechanics, *ANIMAL science, *AQUATIC animals, *TECHNOLOGICAL innovations
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. Animal tracking provides integral spatiotemporal information that contributes to the growing field of movement ecology. AT is one of the main approaches to track the movements of aquatic animals. The proliferation of AT research and technological innovation have increased the ability to explore ecological and management-related questions. Effective integration of AT data at relevant scales to inform management is still limited by a disconnect between management goals and research objectives, as well as global challenges such as equipment compatibility. A comprehensive global overview of existing AT research identifying the knowledge gaps across regions of the world is necessary to ensure that future research advances aquatic animal science and governance. [ABSTRACT FROM AUTHOR]

Published
2022
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6. Baffin Bay narwhal (Monodon monoceros) select bathymetry over sea ice during winter.

Author

Kenyon, Krista A., Yurkowski, David J., Orr, Jack, Barber, David, and Ferguson, Steven H.

Subjects
BATHYMETRY, TELEMETRY, GREENLAND halibut, EMIGRATION & immigration
Abstract

Arctic pack ice structure and extent have been changing due to warming. Thus, understanding important habitat features for marine mammals that depend on sea ice, such as narwhal (Monodon monoceros), during winter will provide insight into impacts of future changes within the pack ice. The objective of this study was to determine narwhal habitat selection for bathymetry, sea ice concentration, thickness, and floe size during the winter season. Nineteen narwhals were equipped with SPLASH tags in Admiralty Inlet and Eclipse Sound (2009-2011), with 50% of the transmitters lasting until April allowing for analysis of the entire winter season. Generalized linear mixed models indicated that both sexes selected similar bathymetric habitat likely corresponding to higher prey densities of Greenland halibut. This preference for prey habitat occurred regardless of the mobile pack ice structure or amount of open water at the ocean surface. In addition, we found evidence of a potential relationship between increased winter movements and decreased ice extent over the 2009-2011 period. Together these findings suggest that changes to sea ice structure likely will not negatively impact narwhal directly in the winter. However, indirect effects of changing sea ice, such as changing prey densities and distribution, increased presence of killer whales (Orcinus orca) as predators, increased interspecies competition for prey, and increased anthropogenic activities could influence winter habitat selection of narwhal. In conclusion, the extensive winter movements indicate that narwhal may be more flexible in their selection of winter habitat than previously believed. [ABSTRACT FROM AUTHOR]

Published
2018
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7. Detecting the influence of environmental covariates on animal movement: a semivariance approach.

Author

Signer, Johannes, Ovaskainen, Otso, and Travis, Justin

Subjects
ANIMAL mechanics, RED deer, IRREGULAR sampling (Signal processing), AUTOCORRELATION (Statistics), TELEMETRY
Abstract

Movements of organisms are influenced by environmental variation. For example, the movement rates of animals in unsuitable habitats are often different from movement rates of animals foraging in high-quality habitats. Different statistical methods to detect such effects exist, but they often rely on complete and regularly sampled data or require the formulation of an explicit movement model., We propose an extension to a recently introduced semivariance framework to identify the effects of environmental or other kinds of covariates on animal movement. Our extension also applies to sparse and irregularly sampled data, and it does not require the formulation of an explicit movement model., Within this extension of the semivariance framework, the observed movement rates at different time lags are modelled as a linear regression of the environmental covariates. To account for the inherent autocorrelation in semivariance data, we test for the statistical significance of the influence of covariates using a permutation approach., Our approach correctly identified covariates that influenced or did not influence movement rates in a simulation study. In a case study based on tracking data of a single female red deer ( Cervus elaphus) individual from southern Austria, an application of the method showed that movement rates peaked during periods of intermediate temperature, but they do not co-vary with altitude and precipitation. [ABSTRACT FROM AUTHOR]

Published
2017
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8. 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

9. Acoustic telemetry and network analysis reveal the space use of multiple reef predators and enhance marine protected area design.

Author

Lea, James S. E., Humphries, Nicolas E., von Brandis, Rainer G., Clarke, Christopher R., and Sims, David W.

Subjects
MARINE parks & reserves, TELEMETRY, PREDATORY animals, TURTLES, SHARKS
Abstract

Marine protected areas (MPAs) are commonly employed to protect ecosystems from threats like overfishing. Ideally, MPA design should incorporate movement data from multiple target species to ensure sufficient habitat is protected. We used long-term acoustic telemetry and network analysis to determine the fine-scale space use of five shark and one turtle species at a remote atoll in the Seychelles, Indian Ocean, and evaluate the efficacy of a proposed MPA. Results revealed strong, species-specific habitat use in both sharks and turtles, with corresponding variation in MPA use. Defining the MPA's boundary from the edge of the reef flat at low tide instead of the beach at high tide (the current best in Seychelles) significantly increased the MPA's coverage of predator movements by an average of 34%. Informed by these results, the larger MPA was adopted by the Seychelles government, demonstrating how telemetry data can improve shark spatial conservation by affecting policy directly. [ABSTRACT FROM AUTHOR]

Published
2016
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10. 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

11. Estimation and simulation of foraging trips in land-based marine predators

Author

Théo Michelot, Theoni Photopoulou, Ian D. Jonsen, Roland Langrock, Sophie Bestley, Toby A. Patterson, University of St Andrews. School of Mathematics and Statistics, and University of St Andrews. School of Biology

Subjects
0106 biological sciences, FOS: Computer and information sciences, Forage (honey bee), Computer science, Seals, Earless, QH301 Biology, Foraging, Southern elephant seal, 010603 evolutionary biology, 01 natural sciences, Structuring, Quantitative Biology - Quantitative Methods, Statistics - Applications, Optimal foraging theory, QH301, Empirical research, Animals, Telemetry, Applications (stat.AP), Animal telemetry, SDG 14 - Life Below Water, Hidden Markov model, Ecology, Evolution, Behavior and Systematics, Quantitative Methods (q-bio.QM), biology, Ecology, 010604 marine biology & hydrobiology, DAS, Central place foraging, Feeding Behavior, biology.organism_classification, FOS: Biological sciences, TRIPS architecture, Mirounga leonina
Abstract

TM and TP received support from IMBER-CLIOTOP and Macquarie University Safety Net Grant 9201401743. SB was supported under an Australia Research Council Super Science Fellowship. IDJ was supported by a Macquarie Vice-Chancellors Innovation Fellowship. TAP was supported by a CSIRO Julius Career Award and the Villum Foundation. The behavior of colony-based marine predators is the focus of much research globally. Large telemetry and tracking data sets have been collected for this group of animals, and are accompanied by many empirical studies that seek to segment tracks in some useful way, as well as theoretical studies of optimal foraging strategies. However, relatively few studies have detailed statistical methods for inferring behaviors in central place foraging trips. In this paper we describe an approach based on hidden Markov models, which splits foraging trips into segments labeled as "outbound", "search", "forage", and "inbound". By structuring the hidden Markov model transition matrix appropriately, the model naturally handles the sequence of behaviors within a foraging trip. Additionally, by structuring the model in this way, we are able to develop realistic simulations from the fitted model. We demonstrate our approach on data from southern elephant seals (Mirounga leonina) tagged on Kerguelen Island in the Southern Ocean. We discuss the differences between our 4-state model and the widely used 2-state model, and the advantages and disadvantages of employing a more complex model. Publisher PDF

Published
2017

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