Literature DB >> 22974773

Is monitoring for mass spawning events in coral assemblages in north Western Australia likely to detect spawning?

Craig A Styan1, Natalie L Rosser.   

Abstract

In north Western Australia coral reefs occur near ports being developed to support rapidly expanding resources industries. Dredging for port construction is required to stop during significant mass coral spawning events due to the sensitivity of gametes and larvae to increases in turbidity and sedimentation, but the timing of this event can vary between seasons and years so monitoring is used to predict when spawning is imminent. Here we used simulations to mimick sampling strategies currently used in some coral spawning monitoring programmes in Western Australia, to assess the ability of these programmes to be able to predict multi-specific mass spawning events. We found that current practices may sometimes miss spawning events that are likely to be considered large enough to warrant stopping dredging. Generally, sampling fewer individuals in a large number of species is a better way of monitoring for upcoming spawning than sampling a large number of individuals in a small number of species, but overall, greater sampling efforts than are currently undertaken are needed if moderately sized events are to be detected reliably. Determining exactly how many samples are needed, however, depends on having a clearer definition of what actually constitutes a "significant mass spawning" event in the first place.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22974773     DOI: 10.1016/j.marpolbul.2012.08.008

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

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Authors:  James Gilmour; Conrad W Speed; Russ Babcock
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Authors:  Andrew H Baird; James R Guest; Alasdair J Edwards; Andrew G Bauman; Jessica Bouwmeester; Hanaka Mera; David Abrego; Mariana Alvarez-Noriega; Russel C Babcock; Miguel B Barbosa; Victor Bonito; John Burt; Patrick C Cabaitan; Ching-Fong Chang; Suchana Chavanich; Chaolun A Chen; Chieh-Jhen Chen; Wei-Jen Chen; Fung-Chen Chung; Sean R Connolly; Vivian R Cumbo; Maria Dornelas; Christopher Doropoulos; Gal Eyal; Lee Eyal-Shaham; Nur Fadli; Joana Figueiredo; Jean-François Flot; Sze-Hoon Gan; Elizabeth Gomez; Erin M Graham; Mila Grinblat; Nataly Gutiérrez-Isaza; Saki Harii; Peter L Harrison; Masayuki Hatta; Nina Ann Jin Ho; Gaetan Hoarau; Mia Hoogenboom; Emily J Howells; Akira Iguchi; Naoko Isomura; Emmeline A Jamodiong; Suppakarn Jandang; Jude Keyse; Seiya Kitanobo; Narinratana Kongjandtre; Chao-Yang Kuo; Charlon Ligson; Che-Hung Lin; Jeffrey Low; Yossi Loya; Elizaldy A Maboloc; Joshua S Madin; Takuma Mezaki; Choo Min; Masaya Morita; Aurelie Moya; Su-Hwei Neo; Matthew R Nitschke; Satoshi Nojima; Yoko Nozawa; Srisakul Piromvaragorn; Sakanan Plathong; Eneour Puill-Stephan; Kate Quigley; Catalina Ramirez-Portilla; Gerard Ricardo; Kazuhiko Sakai; Eugenia Sampayo; Tom Shlesinger; Leony Sikim; Chris Simpson; Carrie A Sims; Frederic Sinniger; Davies A Spiji; Tracy Tabalanza; Chung-Hong Tan; Tullia I Terraneo; Gergely Torda; James True; Karenne Tun; Kareen Vicentuan; Voranop Viyakarn; Zarinah Waheed; Selina Ward; Bette Willis; Rachael M Woods; Erika S Woolsey; Hiromi H Yamamoto; Syafyudin Yusuf
Journal:  Sci Data       Date:  2021-01-29       Impact factor: 6.444

  2 in total

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