Herbivores in a Small World Rebecca Fox & David Bellwood School of Marine and Tropical Biology, JCU & ARC Centre of Excellence for Coral Reef Studies Acoustic.

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Herbivores in a Small World Rebecca Fox & David Bellwood School of Marine and Tropical Biology, JCU & ARC Centre of Excellence for Coral Reef Studies Acoustic telemetry and network theory find herbivores display “small-world” dynamics Presentation to 12 th ICRS, Cairns 1

Background: Herbivore ecosystem function 2 Scrapers (Bellwood & Choat 1990) Browsers (Hoey & Bellwood 2009, 2010), (Bennett & Bellwood 2010), (Cvitanovic & Bellwood 2009) PreventionReversal versus Bellwood et al pine-Unicornfish-Naso-unicornis/ kloessing.de/Malediven /12/gili-air-day-3.html Parrotfish-Scarus-niger/ onth/past_fom/fom_05_03.htm Excavators (Bellwood & Choat 1990) Grazers (Choat at al 2002) (Fox et al 2009)

Ecosystem function = f(what you do, where you do it) Aim: investigate the long-term spatial ecology of roving herbivorous fishes 1. What level of site fidelity? 2. What degree of mobility? 3. How roving is ‘roving’? Background: Study aims 3

4

Herbivores at Orpheus Island Photo: JP Krajewski Fox RJ & Bellwood DR (2007) Mar. Ecol. Prog. Ser. 339: Chlorurus microrhinos Scarus rivulatus Siganus doliatus 5 >90 % of roving herbivore biomass on reef crest

Acoustic Array 200 m 6

Methods 20 individuals tagged (4 x C.microrhinos, 6 x Sc.rivulatus, 10 x S.doliatus) 23mm x 9mm transmitter inserted internally under anaesthesia (Vemco V9-1L, 60s/ 90s period, 157/ 226d battery life) Overnight recovery then released Data downloaded every 8 weeks 7

Results – Presence time stamps 8 8 months ~360m

High residency levels Strong local site attachment Results – Residency & site attachment 9

Results – Detection frequencies 10 Linear spatial impact (based on 90% diurnal detections) S. doliatus: 152m ± 21 C. microrhinos: 200m ± 46 Sc. rivulatus (IP): 280m ± 20 Sc. rivulatus (TP): 520m ± 158 Static picture What about the dynamics?

Species-to-species interactions eg. food-webs Application to spatial ecology lagged behind Most existing spatial applications focus on terrestrial systems Background – Use of Networks in Ecology 11 Warren (1989) Oikos Pillai et al (2010) Theor Ecol Krause et al (2003) Nature

Background – Network Theory Watts & Strogatz (1998) Nature 393: Node Edge 12

Herbivore dynamics 200 m 13 Photo: JP Krajewski

Directed movements between reef areas Consistent paths “Hub and spoke” pattern of reef utilisation Results - Network graphs

Characteristic path length (L) (Average number of edges in the shortest path between two nodes) Degree of clustering (C) (Fraction of all potential edges between neighbouring nodes that actually exist) Network metrics 15 High clustering Low clustering High path length Low path length Regular Network Random Network

Results – Network Analysis Herbivore networks fall into realm of “small-world” Vulnerable to targeted attack eg. fishing effort Provides mechanistic explanation for vulnerability to fishing pressure (Graham et al. 2011, Ecol Lett) 16

Limited spatial impact of “roving” herbivores High site fidelity and local site attachment Non-random movement patterns Fixed patterns of reef usage from “hub” Small-worlds Exception, male S. rivulatus Summary 17

Fewer mobile links than thought Good news:robust to random disturbances Bad news: vulnerable to targeted attack Maintain herbivore abundances Network theory a useful tool for building dynamic picture of fish movements Conclusions 18 parrot-fish/

Acknowledgements Funding AATAMS (IMOS) ACRS Australian Research Council (CoECRS) Vemco (Amirix) Pty Ltd, James Cook University (GRS) Field assistance J Bathgate, S Bennett, S Blowes, R Bonaldo, R Brooker, P Cowman, C Goatley, A Gonzalez-Cabello, C Lefevre, T Sunderland Advice and helpful discussions A Barnett, J Bathgate, D Booth, J H Choat, J Donelson, B Ebner, C Fulton, C Simpfendorfer, T Stieglitz, P Ridd, J Theim, R Vallee, Reef-fish lab colleagues Project logistics Staff of OIRS, Rob Gegg, Phil Osmond, J Tanner, S Wismer 19