36
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

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

      Read this article at

      ScienceOpenPublisherPMC
      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

          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.

          Related collections

          Most cited references28

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

          The Analysis of Spatial Association by Use of Distance Statistics

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

            Tracking apex marine predator movements in a dynamic ocean.

            Pelagic marine predators face unprecedented challenges and uncertain futures. Overexploitation and climate variability impact the abundance and distribution of top predators in ocean ecosystems. Improved understanding of ecological patterns, evolutionary constraints and ecosystem function is critical for preventing extinctions, loss of biodiversity and disruption of ecosystem services. Recent advances in electronic tagging techniques have provided the capacity to observe the movements and long-distance migrations of animals in relation to ocean processes across a range of ecological scales. Tagging of Pacific Predators, a field programme of the Census of Marine Life, deployed 4,306 tags on 23 species in the North Pacific Ocean, resulting in a tracking data set of unprecedented scale and species diversity that covers 265,386 tracking days from 2000 to 2009. Here we report migration pathways, link ocean features to multispecies hotspots and illustrate niche partitioning within and among congener guilds. Our results indicate that the California Current large marine ecosystem and the North Pacific transition zone attract and retain a diverse assemblage of marine vertebrates. Within the California Current large marine ecosystem, several predator guilds seasonally undertake north-south migrations that may be driven by oceanic processes, species-specific thermal tolerances and shifts in prey distributions. We identify critical habitats across multinational boundaries and show that top predators exploit their environment in predictable ways, providing the foundation for spatial management of large marine ecosystems. ©2011 Macmillan Publishers Limited. All rights reserved
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Cascading effects of the loss of apex predatory sharks from a coastal ocean.

              Impacts of chronic overfishing are evident in population depletions worldwide, yet indirect ecosystem effects induced by predator removal from oceanic food webs remain unpredictable. As abundances of all 11 great sharks that consume other elasmobranchs (rays, skates, and small sharks) fell over the past 35 years, 12 of 14 of these prey species increased in coastal northwest Atlantic ecosystems. Effects of this community restructuring have cascaded downward from the cownose ray, whose enhanced predation on its bay scallop prey was sufficient to terminate a century-long scallop fishery. Analogous top-down effects may be a predictable consequence of eliminating entire functional groups of predators.
                Bookmark

                Author and article information

                Journal
                Proc. Natl. Acad. Sci. U.S.A.
                Proceedings of the National Academy of Sciences of the United States of America
                Proceedings of the National Academy of Sciences
                1091-6490
                0027-8424
                Feb 09 2016
                : 113
                : 6
                Affiliations
                [1 ] Marine Biological Association of the United Kingdom, The Laboratory, Plymouth PL1 2PB, United Kingdom; Centro de Investigação em Biodiversidade e Recursos Genéticos/Research Network in Biodiversity and Evolutionary Biology, Campus Agrário de Vairão, Universidade do Porto, 4485-668 Vairão, Portugal;
                [2 ] Marine Biological Association of the United Kingdom, The Laboratory, Plymouth PL1 2PB, United Kingdom;
                [3 ] Centro de Investigação em Biodiversidade e Recursos Genéticos/Research Network in Biodiversity and Evolutionary Biology, Campus Agrário de Vairão, Universidade do Porto, 4485-668 Vairão, Portugal; Centro Tecnológico del Mar, 36208, Vigo, Spain;
                [4 ] Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33149;
                [5 ] Centro de Investigação em Biodiversidade e Recursos Genéticos/Research Network in Biodiversity and Evolutionary Biology, Campus Agrário de Vairão, Universidade do Porto, 4485-668 Vairão, Portugal;
                [6 ] Plymouth Marine Laboratory, Plymouth PL1 3DH, United Kingdom; Institute of Marine Sciences, University of California, Santa Cruz, CA 95064; Environmental Research Division, Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Monterey, CA 93940;
                [7 ] Plymouth Marine Laboratory, Plymouth PL1 3DH, United Kingdom;
                [8 ] Marine Biological Association of the United Kingdom, The Laboratory, Plymouth PL1 2PB, United Kingdom; Centro de Investigação em Biodiversidade e Recursos Genéticos/Research Network in Biodiversity and Evolutionary Biology, Campus Agrário de Vairão, Universidade do Porto, 4485-668 Vairão, Portugal; Ocean and Earth Science, National Oceanography Centre Southampton, Waterfront Campus, University of Southampton, Southampton SO14 3ZH, United Kingdom;
                [9 ] Centro de Investigação em Biodiversidade e Recursos Genéticos/Research Network in Biodiversity and Evolutionary Biology, Campus Agrário de Vairão, Universidade do Porto, 4485-668 Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, Portugal;
                [10 ] Marine Biological Association of the United Kingdom, The Laboratory, Plymouth PL1 2PB, United Kingdom; Ocean and Earth Science, National Oceanography Centre Southampton, Waterfront Campus, University of Southampton, Southampton SO14 3ZH, United Kingdom; Centre for Biological Sciences, Highfield Campus, University of Southampton, Southampton SO17 1BJ, United Kingdom dws@mba.ac.uk.
                Article
                1510090113
                10.1073/pnas.1510090113
                4760806
                26811467
                f832c22f-c3cb-4384-a318-84e23e57d60e
                History

                animal telemetry,conservation,distribution,fisheries,predator–prey

                Comments

                Comment on this article