Literature DB >> 27338145

Passive acoustic monitoring of the decline of Mexico's critically endangered vaquita.

Armando Jaramillo-Legorreta1, Gustavo Cardenas-Hinojosa1,2, Edwyna Nieto-Garcia1, Lorenzo Rojas-Bracho1, Jay Ver Hoef3, Jeffrey Moore4, Nicholas Tregenza5, Jay Barlow4, Tim Gerrodette4, Len Thomas6, Barbara Taylor4.   

Abstract

The vaquita (Phocoena sinus) is the world's most endangered marine mammal with approximately 245 individuals remaining in 2008. This species of porpoise is endemic to the northern Gulf of California, Mexico, and historically the population has declined because of unsustainable bycatch in gillnets. An illegal gillnet fishery for an endangered fish, the totoaba (Totoaba macdonaldi), has recently resurged throughout the vaquita's range. The secretive but lucrative wildlife trade with China for totoaba swim bladders has probably increased vaquita bycatch mortality by an unknown amount. Precise population monitoring by visual surveys is difficult because vaquitas are inherently hard to see and have now become so rare that sighting rates are very low. However, their echolocation clicks can be identified readily on specialized acoustic detectors. Acoustic detections on an array of 46 moored detectors indicated vaquita acoustic activity declined by 80% between 2011 and 2015 in the central part of the species' range. Statistical models estimated an annual rate of decline of 34% (95% Bayesian credible interval -48% to -21%). Based on results from 2011 to 2014, the government of Mexico enacted and is enforcing an emergency 2-year ban on gillnets throughout the species' range to prevent extinction, at a cost of US$74 million to compensate fishers. Developing precise acoustic monitoring methods proved critical to exposing the severity of vaquitas' decline and emphasizes the need for continual monitoring to effectively manage critically endangered species.
© 2016 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology.

Entities:  

Keywords:  Phocoena sinus; declive poblacional; extinción; extinction; modelado estadístico; population decline; statistical modeling

Mesh:

Year:  2016        PMID: 27338145     DOI: 10.1111/cobi.12789

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  6 in total

1.  Estimating the abundance of the critically endangered Baltic Proper harbour porpoise (Phocoena phocoena) population using passive acoustic monitoring.

Authors:  Mats Amundin; Julia Carlström; Len Thomas; Ida Carlén; Jonas Teilmann; Jakob Tougaard; Olli Loisa; Line A Kyhn; Signe Sveegaard; M Louise Burt; Iwona Pawliczka; Radomil Koza; Bartlomiej Arciszewski; Anders Galatius; Jussi Laaksonlaita; Jamie MacAuley; Andrew J Wright; Anja Gallus; Michael Dähne; Alejandro Acevedo-Gutiérrez; Harald Benke; Jens Koblitz; Nick Tregenza; Daniel Wennerberg; Katharina Brundiers; Monika Kosecka; Cinthia Tiberi Ljungqvist; Ivar Jussi; Martin Jabbusch; Sami Lyytinen; Aleksej Šaškov; Penina Blankett
Journal:  Ecol Evol       Date:  2022-02-19       Impact factor: 2.912

2.  Preliminary estimates of the abundance and fidelity of dolphins associating with a demersal trawl fishery.

Authors:  Simon J Allen; Kenneth H Pollock; Phil J Bouchet; Halina T Kobryn; Deirdre B McElligott; Krista E Nicholson; Joshua N Smith; Neil R Loneragan
Journal:  Sci Rep       Date:  2017-07-10       Impact factor: 4.379

3.  Decline towards extinction of Mexico's vaquita porpoise (Phocoena sinus).

Authors:  Armando M Jaramillo-Legorreta; Gustavo Cardenas-Hinojosa; Edwyna Nieto-Garcia; Lorenzo Rojas-Bracho; Len Thomas; Jay M Ver Hoef; Jeffrey Moore; Barbara Taylor; Jay Barlow; Nicholas Tregenza
Journal:  R Soc Open Sci       Date:  2019-07-31       Impact factor: 2.963

4.  Low-frequency sampling rates are effective to record bottlenose dolphins.

Authors:  Bianca Romeu; Alexandre M S Machado; Fábio G Daura-Jorge; Marta J Cremer; Ana Kássia de Moraes Alves; Paulo C Simões-Lopes
Journal:  R Soc Open Sci       Date:  2021-07-28       Impact factor: 2.963

5.  Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA).

Authors:  Eric P M Grist; Trevelyan J McKinley; Saptarshi Das; Tom Tregenza; Aileen Jeffries; Nicholas Tregenza
Journal:  PLoS One       Date:  2022-03-17       Impact factor: 3.240

6.  Deep neural networks for automated detection of marine mammal species.

Authors:  Yu Shiu; K J Palmer; Marie A Roch; Erica Fleishman; Xiaobai Liu; Eva-Marie Nosal; Tyler Helble; Danielle Cholewiak; Douglas Gillespie; Holger Klinck
Journal:  Sci Rep       Date:  2020-01-17       Impact factor: 4.379

  6 in total

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