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      Assessing the recovery of an Antarctic predator from historical exploitation

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          Abstract

          The recovery of whale populations from centuries of exploitation will have important management and ecological implications due to greater exposure to anthropogenic activities and increasing prey consumption. Here, a Bayesian population model integrates catch data, estimates of abundance, and information on genetics and biology to assess the recovery of western South Atlantic (WSA) humpback whales ( Megaptera novaeangliae). Modelling scenarios evaluated the sensitivity of model outputs resulting from the use of different data, different model assumptions and uncertainty in catch allocation and in accounting for whales killed but not landed. A long period of exploitation drove WSA humpback whales to the brink of extinction. They declined from nearly 27 000 (95% PI = 22 800–33 000) individuals in 1830 to only 450 (95% PI = 200–1400) whales in the mid-1950s. Protection led to a strong recovery and the current population is estimated to be at 93% (95% PI = 73–100%) of its pre-exploitation size. The recovery of WSA humpback whales may result in large removals of their primary prey, the Antarctic krill ( Euphausia superba), and has the potential to modify the community structure in their feeding grounds. Continued monitoring is needed to understand how these whales will respond to modern threats and to climate-driven changes to their habitats.

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          Mammal population losses and the extinction crisis.

          The disappearance of populations is a prelude to species extinction. No geographically explicit estimates have been made of current population losses of major indicator taxa. Here we compare historic and present distributions of 173 declining mammal species from six continents. These species have collectively lost over 50% of their historic range area, mostly where human activities are intensive. This implies a serious loss of ecosystem services and goods. It also signals a substantial threat to species diversity.
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            Fisheries stock assessment and decision analysis: the Bayesian approach

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              Spatial models for distance sampling data: recent developments and future directions

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                Author and article information

                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society
                2054-5703
                October 2019
                16 October 2019
                16 October 2019
                : 6
                : 10
                : 190368
                Affiliations
                [1 ]Marine Mammal Laboratory, Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration , 7600 Sand Point Way NE, Seattle, WA 98115-6349, USA
                [2 ]Marine Ecology and Telemetry Research , 2468 Camp McKenzie Tr NW, Seabeck, WA 98380, USA
                [3 ]Cascadia Research Collective , 218 ½ 4th Avenue W, Olympia, WA 98501, USA
                [4 ]Instituto Aqualie , Avenida Doutor Paulo Japiassú Coelho 714, Sala 202, Juiz de Fora, MG, Brazil
                [5 ]School of Aquatic and Fishery Sciences, University of Washington , 1122 NE Boat Street, Seattle, WA 98105, USA
                [6 ]Quantitative Ecology and Resource Management, University of Washington , 1503 NE Boat Street, Seattle, WA 98105, USA
                [7 ]Seastar Scientific, 27605 Hake Rd SW, Vashon, WA, 98070, USA
                [8 ]British Antarctic Survey , NERC, High Cross, Madingley Road, Cambridge, UK
                Author notes
                Author for correspondence: Alexandre N. Zerbini e-mail: alex.zerbini@ 123456noaa.gov

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.4688924.

                Author information
                http://orcid.org/0000-0002-9776-6605
                http://orcid.org/0000-0003-0297-8347
                http://orcid.org/0000-0002-8920-0900
                http://orcid.org/0000-0002-2776-5746
                Article
                rsos190368
                10.1098/rsos.190368
                6837233
                31824687
                3501e711-b80a-4e96-90c2-a2de6fdf2379
                © 2019 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 14 March 2019
                : 23 September 2019
                Funding
                Funded by: US National Marine Fisheries Service-National Oceanic and Atmospheric Administration;
                Funded by: British Antarctic Survey, http://dx.doi.org/10.13039/501100007849;
                Funded by: Pew Bertarelli Ocean Legacy Project;
                Award ID: 31381
                Funded by: School of Aquatic and Fishery Sciences, http://dx.doi.org/10.13039/100008142;
                Categories
                1001
                60
                Biology (Whole Organism)
                Research Article
                Custom metadata
                October, 2019

                humpback whales,antarctic krill,population assessment,bayesian modelling,south atlantic ocean,antarctic

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