Literature DB >> 28140527

Fish wariness is a more sensitive indicator to changes in fishing pressure than abundance, length or biomass.

Jordan S Goetze1,2,3, Fraser A Januchowski-Hartley4,5, Joachim Claudet6,7, Tim J Langlois1,2, Shaun K Wilson1,8, Stacy D Jupiter9.   

Abstract

Identifying the most sensitive indicators to changes in fishing pressure is important for accurately detecting impacts. Biomass is thought to be more sensitive than abundance and length, while the wariness of fishes is emerging as a new metric. Periodically harvested closures (PHCs) that involve the opening and closing of an area to fishing are the most common form of fisheries management in the western Pacific. The opening of PHCs to fishing provides a unique opportunity to compare the sensitivity of metrics, such as abundance, length, biomass and wariness, to changes in fishing pressure. Diver-operated stereo video (stereo-DOV) provides data on fish behavior (using a proxy for wariness, minimum approach distance) simultaneous to abundance and length estimates. We assessed the impact of PHC protection and harvesting on the abundance, length, biomass, and wariness of target species using stereo-DOVs. This allowed a comparison of the sensitivity of these metrics to changes in fishing pressure across four PHCs in Fiji, where spearfishing and fish drives are common. Before PHCs were opened to fishing they consistently decreased the wariness of targeted species but were less likely to increase abundance, length, or biomass. Pulse harvesting of PHCs resulted in a rapid increase in the wariness of fishes but inconsistent impacts across the other metrics. Our results suggest that fish wariness is the most sensitive indicator of fishing pressure, followed by biomass, length, and abundance. The collection of behavioral data simultaneously with abundance, length, and biomass estimates using stereo-DOVs offers a cost-effective indicator of protection or rapid increases in fishing pressure. Stereo-DOVs can rapidly provide large amounts of behavioral data from monitoring programs historically focused on estimating abundance and length of fishes, which is not feasible with visual methods.
© 2017 by the Ecological Society of America.

Entities:  

Keywords:  artisanal fisheries; catch efficiency; compliance; conservation; customary management; fish behavior; fisheries management; flight initiation distance

Mesh:

Year:  2017        PMID: 28140527     DOI: 10.1002/eap.1511

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  9 in total

1.  The influence of tourism-based provisioning on fish behavior and benthic composition.

Authors:  Colin K C Wen; Kao-Sung Chen; Wei-Chen Tung; Anyo Chao; Ching-Wei Wang; Shao-Lun Liu; Ming-Jay Ho
Journal:  Ambio       Date:  2018-11-03       Impact factor: 5.129

2.  Effects of COVID-19 pandemic restrictions on coral reef fishes at eco-tourism sites in Bora-Bora, French Polynesia.

Authors:  David Lecchini; Rohan M Brooker; Viliame Waqalevu; Emma Gairin; Lana Minier; Cecile Berthe; Rainui Besineau; Guilhem Blay; Tehani Maueau; Vincent Sturny; Tamatoa Bambridge; Gaston Tong Sang; Frédéric Bertucci
Journal:  Mar Environ Res       Date:  2021-08-17       Impact factor: 3.737

3.  Sharks are the preferred scraping surface for large pelagic fishes: Possible implications for parasite removal and fitness in a changing ocean.

Authors:  Christopher D H Thompson; Jessica J Meeuwig
Journal:  PLoS One       Date:  2022-10-19       Impact factor: 3.752

4.  The "Tracked Roaming Transect" and distance sampling methods increase the efficiency of underwater visual censuses.

Authors:  Alejo J Irigoyen; Irene Rojo; Antonio Calò; Gastón Trobbiani; Noela Sánchez-Carnero; José A García-Charton
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

5.  Environmental DNA illuminates the dark diversity of sharks.

Authors:  Germain Boussarie; Judith Bakker; Owen S Wangensteen; Stefano Mariani; Lucas Bonnin; Jean-Baptiste Juhel; Jeremy J Kiszka; Michel Kulbicki; Stephanie Manel; William D Robbins; Laurent Vigliola; David Mouillot
Journal:  Sci Adv       Date:  2018-05-02       Impact factor: 14.136

6.  Drivers of reef shark abundance and biomass in the Solomon Islands.

Authors:  Jordan S Goetze; Tim J Langlois; Joe McCarter; Colin A Simpfendorfer; Alec Hughes; Jacob Tingo Leve; Stacy D Jupiter
Journal:  PLoS One       Date:  2018-07-30       Impact factor: 3.240

7.  Sixteen years of social and ecological dynamics reveal challenges and opportunities for adaptive management in sustaining the commons.

Authors:  J E Cinner; J D Lau; A G Bauman; D A Feary; F A Januchowski-Hartley; C A Rojas; M L Barnes; B J Bergseth; E Shum; R Lahari; J Ben; N A J Graham
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-16       Impact factor: 11.205

8.  Drivers of variation in occurrence, abundance, and behaviour of sharks on coral reefs.

Authors:  E Lester; T Langlois; I Lindgren; M Birt; T Bond; D McLean; B Vaughan; T H Holmes; M Meekan
Journal:  Sci Rep       Date:  2022-01-14       Impact factor: 4.379

9.  Incorporating reef fish avoidance behavior improves accuracy of species distribution models.

Authors:  Kostantinos A Stamoulis; Jade M S Delevaux; Ivor D Williams; Alan M Friedlander; Jake Reichard; Keith Kamikawa; Euan S Harvey
Journal:  PeerJ       Date:  2020-06-03       Impact factor: 2.984

  9 in total

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