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Advancing projections of crown-of-thorns starfish to support management interventions.
Skinner, Christina; Bozec, Yves-Marie; Matthews, Samuel A; Williamson, David H; Beeden, Roger; Mumby, Peter J.
  • Skinner C; School of the Environment, University of Queensland, St Lucia 4072, QLD, Australia. Electronic address: tina.skinner@uq.edu.au.
  • Bozec YM; School of the Environment, University of Queensland, St Lucia 4072, QLD, Australia.
  • Matthews SA; Great Barrier Reef Marine Park Authority, Townsville 4810, QLD, Australia.
  • Williamson DH; Great Barrier Reef Marine Park Authority, Townsville 4810, QLD, Australia.
  • Beeden R; Great Barrier Reef Marine Park Authority, Townsville 4810, QLD, Australia.
  • Mumby PJ; School of the Environment, University of Queensland, St Lucia 4072, QLD, Australia.
Sci Total Environ ; 950: 175282, 2024 Nov 10.
Article en En | MEDLINE | ID: mdl-39111433
ABSTRACT
Outbreaks of corallivorous Crown of Thorns Starfish (Acanthaster spp.; CoTS) cause substantial coral mortality throughout the Indo-Pacific, particularly on the Great Barrier Reef (GBR). Refining CoTS population density modelling and understanding the disparities between real-world observations and model predictions is crucial for developing effective control strategies. Using a spatially explicit ecosystem model of the GBR, we compared CoTS density model predictions to observations and incorporated a new zone-specific mortality rate to account for differences in predation of CoTS between fished and protected reefs. We found high congruence between predictions and observations ∼81 % of categorical reef level CoTS densities matched or only differed by one category. However, underpredictions increased with higher observed densities. Zone-specific CoTS mortality reduced severe underpredictions from 7.1 % to 5.6 %, which is critical for managers as underpredictions indicate missing outbreaks where targeted culling is necessary, but also lead to underestimated coral loss attributed to CoTS outbreaks. Reef protection status affected prediction accuracy, highlighting the importance of further research on in situ CoTS mortality rates. The location of a reef inside or outside the "initiation box", a speculative area of primary outbreaks (i.e., initial abrupt population increases) on the GBR, also influenced accuracy, with exact predictions more likely outside. Accurately modelling initiation box dynamics is challenging due to limited empirical data on CoTS outbreaks, highlighting the need for focussed research on outbreak dynamics to enhance predictive accuracy. Spatial factors, such as region and shelf position, contributed to the variance between observations and predictions, underscoring the importance of the spatial-temporal context of each observation. Observations of CoTS can help refine model predictions, guide targeted control measures, and contribute to effective ecosystem management for the long-term resilience of the GBR and other reefs targeted by CoTS throughout the Indo-Pacific.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estrellas de Mar / Conservación de los Recursos Naturales / Arrecifes de Coral Límite: Animals Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estrellas de Mar / Conservación de los Recursos Naturales / Arrecifes de Coral Límite: Animals Idioma: En Año: 2024 Tipo del documento: Article