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PLoS One
2016 Jan 01;1112:e0169048. doi: 10.1371/journal.pone.0169048.
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Assessing Different Causes of Crown-of-Thorns Starfish Outbreaks and Appropriate Responses for Management on the Great Barrier Reef.
Babcock RC
,
Dambacher JM
,
Morello EB
,
Plagányi ÉE
,
Hayes KR
,
Sweatman HP
,
Pratchett MS
.
Abstract
The crown-of-thorns starfish Acanthaster planci (COTS) has contributed greatly to declines in coral cover on Australia''s Great Barrier Reef, and remains one of the major acute disturbances on Indo-Pacific coral reefs. Despite uncertainty about the underlying causes of outbreaks and the management responses that might address them, few studies have critically and directly compared competing hypotheses. This study uses qualitative modelling to compare hypotheses relating to outbreak initiation, explicitly considering the potential role of positive feedbacks, elevated nutrients, and removal of starfish predators by fishing. When nutrients and fishing are considered in isolation, the models indicate that a range of alternative hypotheses are capable of explaining outbreak initiation with similar levels of certainty. The models also suggest that outbreaks may be caused by multiple factors operating simultaneously, rather than by single proximal causes. As the complexity and realism of the models increased, the certainty of outcomes decreased, but key areas that require further research to improve the structure of the models were identified. Nutrient additions were likely to result in outbreaks only when COTS larvae alone benefitted from nutrients. Similarly, the effects of fishing on the decline of corals depended on the complexity of interactions among several categories of fishes. Our work suggests that management approaches which seek to be robust to model structure uncertainty should allow for multiple potential causes of outbreaks. Monitoring programs can provide tests of alternative potential causes of outbreaks if they specifically monitor all key taxa at reefs that are exposed to appropriate combinations of potential causal factors.
Fig 1. Qualitative model to assess the relative impacts of nutrients and predation on COTS populations.COTS outbreak overview, with human activities leading to increased nutrients (Nutrients) and fishing mortality (Fishing) of COTS predators (Pred). (a) No self-regulating feedback on COTS, with predator benefitting from COTS. (b) Positive self-regulating feedback on COTS, with predator benefiting from COTS (c) No self-regulating feedback on COTS with predators not deriving significant benefit from consumption of COTS (d) Positive self-regulating feedback on COTS with predators not deriving significant benefit from consumption of COTS. Rectangles denote external pressures, circles denote biological system components. New elements of the model structure introduced from one model to the next are denoted by *. Where elements have been removed they are depicted by a dashed line.
Fig 2. Nutrient input hypothesis for COTS closed and open population.COTS A: COTS adult, COTS J: COTS juvenile, COTS L: COTS larvae. (a) Closed COTS population where coral facilitates COTS juveniles. (b) Closed COTS population with no facilitation of COTS juveniles by corals (COTS juveniles increase with nutrient addition due to the effect of nutrients on COTS larvae therefore positive effects from nutrients flow directly to them) (c) Open COTS population where coral facilitates COTS juveniles (d) Open COTS population with no facilitation of COTS juveniles by corals.
Fig 3. Effects of nutrients on COTS (open population) and reef invertebrates.Invert: reef invertebrates, CCA: crustose coralline algae, COTS A: COTS adult, COTS J: COTS juvenile. (a) Coral facilitates invertebrate predators. (b) No facilitation by corals. (c) Coral facilitates invertebrate predators with no effect of nutrients on CCA (d) No facilitation of invertebrates by corals and no effect of nutrients on CCA.
Fig 4. Model of effects of nutrients on a broader range of larval groups.Effects of nutrients (Nutrients) on COTS (open population), reef invertebrates (Invert), and large (Fish L) and small (Fish S) predatory fishes; CCA: crustose coralline algae, COTS A: COTS adult, COTS J: COTS juvenile. (a) Nutrients facilitate larvae of invertebrates and fish groups as well as CCA. (b) Nutrients facilitate invertebrates and CCA only. (c) Nutrients facilitate fish but not invertebrates or CCA. (d) Nutrients facilitate CCA only.
Fig 5. Example of a more complex set of models of COTS -coral interactions.Effects of fishing (Fishing) and nutrients (Nutrients) on COTS open populations. Predicted responses to press perturbations were examined for each model for Nutrients or Fishing alone, and then Nutrients and Fishing in combination. (a) Nutrients benefit larvae of COTS as well as invertebrates, fish assemblages show high level of interaction through competition and predation. (b) Nutrients benefit larvae of COTS as well as invertebrates, fish assemblages show low levels of interaction (c) Nutrients benefit COTS larvae alone, fish assemblages show low levels of interaction (d) Nutrients benefit COTS larvae alone, fish assemblages show high levels of interaction. COTS A: COTS adult, COTS J: COTS juvenile, Fish L: targeted large fish predators, Fish N: non-target fish predators, Fish S: targeted small fish predators, Invert: invertebrates, Triton: Giant Triton. COTS A: COTS adult, COTS J: COTS juvenile, Fish L: targeted large fish predators, Fish N: non-target fish predators, Fish S: targeted small fish predators, Invert: invertebrates, Triton: Giant Triton.
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