Excess seawater nutrients, enlarged algal symbiont densities and bleaching sensitive reef locations: 2. A regional-scale predictive model for the Great Barrier Reef, Australia
Bayesian networks
; Biomineralization
; Cleaning
; Conservation
; Environmental protection
; Health
; Health risks
; Location
; Nutrients
; Reefs
; Risk assessment
; Water quality
; Coral bleaching
; Coral cores
; Coral health
; Marine protected area
; Resilience
; Bleaching
; sea water
; sea water
; Bayesian analysis
; calcification
; coral bleaching
; coral reef
; nutrient
; protected area
; seawater
; symbiont
; water quality
; algal symbiont density
; Article
; Australia
; bleaching
; climate change
; controlled study
; coral
; coral reef
; environmental health
; model
; nonhuman
; nutrient
; prediction
; predictive model
; risk assessment
; symbiont
; temperature stress
; water quality
; animal
; Anthozoa
; chemistry
; environmental monitoring
; growth, development and aging
; procedures
; temperature
; theoretical model
; Australia
; Coral Sea
; Great Barrier Reef
; Queensland
; algae
; Anthozoa
; Animals
; Anthozoa
; Australia
; Climate Change
; Coral Reefs
; Environmental Monitoring
; Models, Theoretical
; Risk Assessment
; Seawater
; Temperature
Scopus学科分类:
Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要:
A spatial risk assessment model is developed for the Great Barrier Reef (GBR, Australia) that helps identify reef locations at higher or lower risk of coral bleaching in summer heat-wave conditions. The model confirms the considerable benefit of discriminating nutrient-enriched areas that contain corals with enlarged (suboptimal) symbiont densities for the purpose of identifying bleaching-sensitive reef locations. The benefit of the new system-level understanding is showcased in terms of: (i) improving early-warning forecasts of summer bleaching risk, (ii) explaining historical bleaching patterns, (iii) testing the bleaching-resistant quality of the current marine protected area (MPA) network (iv) identifying routinely monitored coral health attributes, such as the tissue energy reserves and skeletal growth characteristics (viz. density and extension rates) that correlate with bleaching resistant reef locations, and (v) targeting region-specific water quality improvement strategies that may increase reef-scale coral health and bleaching resistance. � 2016
Catchment to Reef Management Solutions, Newcastle, NSW, Australia; NOAA Coral Reef Watch, NESDIS Center for Satellite Applications and Research, 5830 University Research Ct., E/RA3, College Park, MD, United States; Marine Geophysical Laboratory, College of Science, Technology and Engineering, James Cook University, Townsville, QLD, Australia; Centre for Tropical Water and Aquatic Ecosystem Research, James Cook University, Townsville, QLD, Australia; Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Australia; Australian Institute of Marine Science, PMB 3 Townsville MCQLD, Australia; Silpakorn University, Krung Thep, Bangkok, Thailand; University of Western Australia Oceans Institute, Perth, WA, Australia
Recommended Citation:
Wooldridge S.A.,Heron S.F.,Brodie J.E.,et al. Excess seawater nutrients, enlarged algal symbiont densities and bleaching sensitive reef locations: 2. A regional-scale predictive model for the Great Barrier Reef, Australia[J]. Marine Pollution Bulletin,2017-01-01,114(1)