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Disturbance and Recolonisation by Small Reef Fishes: the Role of Local Movement Versus Recruitment

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Disturbance and Recolonisation by Small Reef Fishes: the Role of Local Movement Versus Recruitment Vol. 537: 205–215, 2015 MARINE ECOLOGY PROGRESS SERIES Published October 14 doi: 10.3354/meps11457 Mar Ecol Prog Ser Disturbance and recolonisation by small reef fishes: the role of local movement versus recruitment C. D. Lefèvre, D. R. Bellwood* Australian Research Council Centre of Excellence for Coral Reef Studies, and College of Marine and Environmental Sciences, James Cook University, Townsville, Queensland 4811, Australia ABSTRACT: An understanding of the responses of fish assemblages to disturbance events is cen- tral to the ongoing management of coral reef habitats. To understand the factors shaping patterns of recovery, we examined the recolonisation of populations of small cryptic fishes following exper- imental removal. After removing resident cryptobenthic reef fish assemblages from otherwise undisturbed coral rubble areas we observed a rapid recovery. Within 8 wk, fish assemblages were similar to their pre-removal structure in terms of fish abundance, species diversity and species richness. However, species differed in the speed and nature of their return. The return of larger species (e.g. Parapercis cylindrica) was largely mediated by recolonisation, while smaller, less mobile species (e.g. Eviota spp. and Enneapterygius spp.) relied primarily on recruitment, pre- sumably from the plankton. Although patterns of settlement and recruitment are ultimately responsible for replenishment of local populations, our data suggest that mobility may play a strong role in restoring fish assemblages in the short term. These results have significant implica- tions for our understanding of the response of coral reef ecosystems to disturbance events and highlight the importance of selecting appropriate criteria for evaluating reef resilience. If these short-lived fish species are a model for their longer-lived counterparts, it suggests that local responses to disturbance will depend largely on the mobility of species. Identifying both the recruitment and movement abilities of species will be critical in understanding the ability of fish assemblages to recover after disturbance. KEY WORDS: Coral reefs · Cryptobenthic reef fish · Assemblage · Habitat disturbance · Post settlement movement · Resilience · Size at settlement Resale or republication not permitted without written consent of the publisher INTRODUCTION disturbances (Wilson et al. 2006, Adam et al. 2014). The capacity for coral reef fish communities to A recent recognition of the spatial and temporal recover or regenerate following natural and/or heterogeneity in the structure and dynamics of eco- anthro pogenic disturbances is governed by the inter- logical communities has led to a greater focus on the play of several physical and biological factors. Bio- role of disturbance in shaping community structure logical factors include the extent of variability in the and persistence (Halford et al. 2004, Pratchett et al. community, the availability of colonists, the life- 2008, Wilson et al. 2009). On coral reefs, fish commu- history characteristics of dominant species (including nities often display marked variability in community recruitment strategies and propensity of species to structure at small spatial and temporal scales (Hal- disperse; Niemi et al. 1990, Coker et al. 2012a) and ford et al. 2004, Wilson et al. 2006). However, an the functional attributes of species (Bellwood et al. understanding of community responses to distur- 2004, 2012a). Reports of the effects of disturbances bance is central to the ongoing management of coral on coral reef fish assemblages have been variable; reef habitats when facing increasing anthropogenic several studies have observed minimal impacts on *Corresponding author: [email protected] © Inter-Research 2015 · www.int-res.com 206 Mar Ecol Prog Ser 537: 205–215, 2015 the species richness of assemblages (e.g. Syms & cifically, we in vestigated the role of local move- Jones 2000, Planes et al. 2005, Bellwood et al. 2006, ment versus recruitment in shaping post-disturbance Emslie et al. 2008), while other studies have reported assemblages. distinct declines in species richness (e.g. Halford et al. 2004, Graham et al. 2006). This disparity in the results implies that disturbance events do not ne - MATERIALS AND METHODS cessarily cause a change in species richness, but other variables may be more sensitive, such as size- The study was conducted between August and frequency distributions (Graham et al. 2006) or com- November 2009 at Lizard Island in the northern munity composition (Bellwood et al. 2006, 2012b, Great Barrier Reef (GBR) (14° 40’ S, 145° 27’ E). Two Pratchett et al. 2008). The response of fishes to dis - sites were censused between Bird and South Islands turbance, therefore, appears to be species specific at depths of 2 to 3 m (Fig. 1). These 2 sites were cho- rather than community wide (Coker et al. 2012a). sen based on their similar aspect and habitat charac- Intuitively, species mobility would appear to be a teristics, i.e. a back reef with coral rubble conglomer- primary determinant of colonisation and recovery of ate composed of >70% hard coral rubble. The coral fish assemblages. On coral reefs, the spatial extent rubble consisted of fragments of dead branching and frequency of movement observed in reef fishes corals (mainly Acropora spp.) of 2 to 15 cm in length varies broadly, from species that move hundreds and 0.5 to 1.5 cm in diameter. of kilometres (e.g. serranids; Hutchinson & Rhodes 2010) to species that rarely move more than a metre (e.g. gobies; Depczynski & Bellwood 2004, Nash et al. Experimental design 2015). Nonetheless, it is uncertain whether interspe- cific differences in mobility can account for differ- To assess the recolonisation rates of small cryptic ences in observed colonisation and recovery rates. reef fishes, we initially sampled rubble areas at the Using cryptobenthic reef fish assemblages as a mo- 2 sites (n = 25 sample areas per site; n = 50 sample del, we examined the recovery rates of small reef areas in total), removing all fish present from each fish species. Due to their extremely limited post- 1m2 sample area. The sample area, relative to the settlement mobility (home ranges of <1 m2; Depczyn- magnitude of the home ranges of the fish species ski & Bellwood 2004, 2005a), strong associations with involved, simulated a removal event that, in larger the benthos (Munday & Jones 1998, Depczynski & fish, would approximate a single charge in dynamite Bellwood 2004, Munday 2004, Gon zá lez-Cabello & fishing or localized fishing such as fish corrals, seine Bellwood 2009, Ahmadia et al. 2012b) and ex cep - nets, or fish traps. The sample areas were each tional sensitivity to changes in habi - tat structure (Bellwood et al. 2006, abN Pratchett et al. 2008), cryptobenthic 145°E 150° reef fishes may be useful models for exploring interspecific patterns of colonisation and recovery. Because 15°S small cryptic fish have extreme life histories, geared towards rapid growth Lizard Island and fast turnover (Hernaman & Mun- day 2005, Depczynski & Bellwood 20° 2006, Winterbottom et al. 2011), we would expect these fishes to be excep- Queensland tionally res ponsive to change and ex- hibit substantial interspecific variation in colo nisation and recovery rates fol- lowing a localized disturbance event. The aim of the present study, there- 250 km 0.5 km fore, was to document the nature and Fig. 1. Location of study sites: (a) geographical location of Lizard Island in the extent of recovery after disturbance in northern Great Barrier Reef and (b) Lizard Island. Dashed line indicates the cryptobenthic reef fish assemblages reef crest of the fringing reef; stars represent the 2 study sites. Map adapted inhabiting coral rubble habitats. Spe- from Kramer et al. (2014b) Lefèvre & Bellwood: Recolonisation rates of small cryptic fishes 207 resampled once, at one of 5 time intervals: 5 h, 24 h, ance (ANOVAs) with site and time interval being 1 wk, 2 wk, or 8 wk after manipulation. From each treated as fixed factors. To account for variability site a total of 5 replicates were obtained per time among sample areas, all values (abundance, species interval. The areas censused were clearly marked richness and diversity) were calculated as the differ- with coloured tags to ensure resampling of the exact ence between the initial and resampling period for a same area. Initial sample areas were chosen haphaz- specific sample area (e.g. t(5 h) = tinitial (5 h) − trecovery (5 h), ardly and sampled within a 1 wk period during the and t(24 h) = tinitial (24 h) − trecovery (24 h)). By comparing the Austral cool season, several months before the sum- exact same sample over time, the metric of assem- mer peak recruitment period. Care was taken not to blage change was the extent of the return to each disturb the physical habitat structure of the rubble sample area’s specific initial condition. Total abun- areas or the biotic components living in these rubble dance, species richness and diversity were log(x+1) areas. The spacing between sample areas was at transformed to meet the assumptions of normality least 10 m. Each sample area was surrounded by rub- and homoscedasticity. Following a significant result, ble so movement of more mobile fish species would homogenous groupings were identified using Tu - not be impeded. Larger mobile reef fishes (e.g. acan- key’s honestly significant difference (HSD) post hoc thurids or labrids) were not sampled using this comparison tests. The analyses of fish assemblages methodology and were not included in the analyses. between time intervals in terms of fish abundance, species richness and diversity detected no significant effect of site (Table 1); therefore, data were pooled Collecting techniques across the 2 sites for presentation. Additionally, changes in community composition Cryptobenthic reef fishes were collected while were investigated using a non-metric multidimen- scuba diving using enclosed clove-oil stations (fol- sional scaling analysis (nMDS) (based on a Bray- lowing Ackerman & Bellwood 2002; see Robertson & Curtis similarity matrix) of the mean number of indi- Smith-Vaniz 2010).
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