| Literature DB >> 26725835 |
Rohan M Brooker1,2, Simon J Brandl3,4,5, Danielle L Dixson1,2.
Abstract
Seaweed-dominated coral reefs are becoming increasingly common as environmental conditions shift away from those required by corals and toward those ideal for rampant seaweed growth. How coral-associated organisms respond to seaweed will not only impact their fate following environmental change but potentially also the trajectories of the coral communities on which they rely. However, behavioral responses by coral-associated organisms to seaweeds are poorly understood. This study examined interactions between a guild of obligate and opportunistic coral-feeding butterflyfishes (Chaetodontidae) and scleractinian corals to determine whether fishes continue to interact with corals in contact with seaweed or if they are avoided. Under natural conditions, all species interacted almost exclusively with seaweed-free corals. In a controlled patch reef experiment, fishes avoided corals in physical contact with seaweed, irrespective of dietary preferences. When visual seaweed cues were removed, butterflyfish continued to avoid corals that had been in contact with the allelopathic Galaxaura filamentosa, suggesting that chemical cues produced by coral-seaweed interactions are repellent. These findings suggest that, due to deleterious visual and chemical cues produced by coral-seaweed interactions, coral-associated organisms may struggle to locate resources as seaweed-free corals decline in abundance.Entities:
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Year: 2016 PMID: 26725835 PMCID: PMC4698739 DOI: 10.1038/srep18842
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Interspecific differences in the probability that a butterflyfish will interact with seaweed-free corals.
Plotted values (circles) represent the predicted mean values from a Bayesian mixed model for each species with the 95% credible interval marked by the line. Predicted values were obtained by marginalizing over the random effects of focal individuals. Given the different degree to which butterflyfishes rely on live coral, group affiliations were obtained from the literature and fitted to the species, with opportunistic coral feeders marked by filled circles, while obligate corallivores are marked by open circles.
Figure 2The response of butterflyfishes to manipulative addition of two different algae to coral colonies in a patch-reef experiment.
Both obligate (empty circles) and opportunistic (filled circles) corallivores strongly avoid coral colonies associated with algae when visual cues are presented. However, if the algae are removed and only chemical traces of the algae are present, both groups respond positively to the removal of S. polycystum, while only opportunistic corallivores show a slight positive response to the removal of G. filamentosa. The plotted values represent the predicted values obtained from a Bayesian mixed model and divided by the number of individual fishes present during each trial. Values were marginalized over the random effects of the patch-reef set, which was used longitudinally for trials with or without the algae present.
Model outputs from the Bayesian Mixed Model analyzing the response of butterflyfishes to a controlled patch reef experiment permitting foraging on corals associated with the algae Galaxaura filamentosa (“G. fila.”) or Sargassum polycystum (“S. poly.”), or control corals without algal association (“Control”).
Experimental setups included either a visual or a chemical cue of the algal association and data were analyzed for obligate and opportunistic corallivores. Provided model parameters include the posterior mean effect (“β”) as well as the lower (LCI) and upper (UCI) 95% credible intervals. Color shading indicates effect direction (red = negative, green = positive, grey = neutral). Trace plots of the MME solutions and the variance-covariance (VCV) solutions validated convergence of model chains and the Gelman-Rubin diagnostic performed on three independent chains confirmed convergence (multivariate scale reduction factors: MME = 1.01; VCV(set) = 1.01, VCV(units) = 1.00).