Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Positioning aquatic animals with acoustic transmitters

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          • Geolocating aquatic animals with acoustic tags has been ongoing for decades, relying on the detection of acoustic signals at multiple receivers with known positions to calculate a 2D or 3D position, and ultimately recreate the path of an aquatic animal from detections at fixed stations.

          • This method of underwater geolocation is evolving with new software and hardware options available to help investigators design studies and calculate positions using solvers based predominantly on time‐difference‐of‐arrival and time‐of‐arrival.

          • We provide an overview of the considerations necessary to implement positioning in aquatic acoustic telemetry studies, including how to design arrays of receivers, test performance, synchronize receiver clocks and calculate positions from the detection data. We additionally present some common positioning algorithms, including both the free open‐source solvers and the ‘black‐box’ methods provided by some manufacturers for calculating positions.

          • This paper is the first to provide a comprehensive overview of methods and considerations for designing and implementing better positioning studies that will support users, and encourage further knowledge advances in aquatic systems.

          Related collections

          Most cited references98

          • Record: found
          • Abstract: found
          • Article: not found

          ECOLOGY. Terrestrial animal tracking as an eye on life and planet.

          Moving animals connect our world, spreading pollen, seeds, nutrients, and parasites as they go about the their daily lives. Recent integration of high-resolution Global Positioning System and other sensors into miniaturized tracking tags has dramatically improved our ability to describe animal movement. This has created opportunities and challenges that parallel big data transformations in other fields and has rapidly advanced animal ecology and physiology. New analytical approaches, combined with remotely sensed or modeled environmental information, have opened up a host of new questions on the causes of movement and its consequences for individuals, populations, and ecosystems. Simultaneous tracking of multiple animals is leading to new insights on species interactions and, scaled up, may enable distributed monitoring of both animals and our changing environment.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Continuous-time correlated random walk model for animal telemetry data.

            We propose a continuous-time version of the correlated random walk model for animal telemetry data. The continuous-time formulation allows data that have been nonuniformly collected over time to be modeled without subsampling, interpolation, or aggregation to obtain a set of locations uniformly spaced in time. The model is derived from a continuous-time Ornstein-Uhlenbeck velocity process that is integrated to form a location process. The continuous-time model was placed into a state-space framework to allow parameter estimation and location predictions from observed animal locations. Two previously unpublished marine mammal telemetry data sets were analyzed to illustrate use of the model, by-products available from the analysis, and different modifications which are possible. A harbor seal data set was analyzed with a model that incorporates the proportion of each hour spent on land. Also, a northern fur seal pup data set was analyzed with a random drift component to account for directed travel and ocean currents.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              ECOLOGY. Aquatic animal telemetry: A panoramic window into the underwater world.

              The distribution and interactions of aquatic organisms across space and time structure our marine, freshwater, and estuarine ecosystems. Over the past decade, technological advances in telemetry have transformed our ability to observe aquatic animal behavior and movement. These advances are now providing unprecedented ecological insights by connecting animal movements with measures of their physiology and environment. These developments are revolutionizing the scope and scale of questions that can be asked about the causes and consequences of movement and are redefining how we view and manage individuals, populations, and entire ecosystems. The next advance in aquatic telemetry will be the development of a global collaborative effort to facilitate infrastructure and data sharing and management over scales not previously possible.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Methods in Ecology and Evolution
                Methods Ecol Evol
                Wiley
                2041-210X
                2041-210X
                October 2023
                September 04 2023
                October 2023
                : 14
                : 10
                : 2514-2530
                Affiliations
                [1 ] NORCE Norwegian Research Centre Laboratory for Freshwater Ecology and Inland Fisheries Bergen Norway
                [2 ] Norwegian Institute for Nature Research (NINA) Trondheim Norway
                [3 ] Ocean Tracking Network, Department of Biology Dalhousie University Halifax Nova Scotia Canada
                [4 ] Section for Freshwater Fisheries and Ecology Technical University of Denmark Silkeborg Denmark
                [5 ] Instituto Mediterráneo de Estudios Avanzados (IMEDEA, CSIC‐UIB) Esporles Spain
                [6 ] Department of Fish Biology, Fisheries and Aquaculture Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin Germany
                [7 ] Division of Integrative Fisheries Management, Faculty of Life Sciences Humboldt‐Universität zu Berlin Berlin Germany
                [8 ] Department of Wildlife, Fish, and Environmental Studies Swedish University of Agricultural Sciences Umeå Sweden
                [9 ] Department of Zoology Stockholm University Stockholm Sweden
                [10 ] School of Biological Sciences Monash University Melbourne Victorian Australia
                [11 ] Department of Biology and Institute of Environmental and Interdisciplinary Science Carleton University Ottawa Ontario Canada
                [12 ] Department of Biological Sciences University of Bergen Bergen Norway
                [13 ] Norwegian Institute for Nature Research Fram Centre Tromsø Norway
                [14 ] School of Fisheries Aquaculture and Aquatic Sciences Auburn University Auburn Alabama USA
                [15 ] U.S. Geological Survey, Great Lakes Science Center Hammond Bay Biological Station Millersburg Michigan USA
                [16 ] Ecology and Conservation, Faculty of Nature and Engineering Hochschule Bremen Bremen Germany
                [17 ] Fisheries and Aquatic Sciences Program, School of Forest, Fisheries, and Geomatic Sciences University of Florida Gainesville Florida USA
                [18 ] Marine Evolutionary Ecology GEOMAR Helmholtz Centre for Ocean Research Kiel Kiel Germany
                [19 ] Research Institute for Nature and Forest Brussels Belgium
                [20 ] School of Zoology, George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv Israel
                [21 ] Biology Centre of Czech Academy of Sciences Institute of Hydrobiology Ceske Budejovice Czech Republic
                [22 ] Flanders Marine Institute Oostende Belgium
                [23 ] Instituto de Investigaciones Marinas, CSIC Vigo Spain
                [24 ] INRAE, Aix Marseille Université, Pôle RandD ECLA, RECOVER Aix‐en‐Provence Cedex 5 France
                Article
                10.1111/2041-210X.14191
                fa8da78e-8ec9-4ef0-a2a2-37a85d39dbfd
                © 2023

                http://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article