title: An empirical model of water quality for use in rapid management strategy evaluation in Southeast Queensland, Australia.
abstract: Simulation models have been widely adopted in fisheries for management strategy evaluation (MSE). However, in catchment management of water quality, MSE is hampered by the complexity of both decision space and the hydrological process models. Empirical models based on monitoring data provide a feasible alternative to process models; they run much faster and, by conditioning on data, they can simulate realistic responses to management actions. Using 10 years of water quality indicators from Queensland, Australia, we built an empirical model suitable for rapid MSE that reproduces the water quality variables' mean and covariance structure, adjusts the expected indicators through local management effects, and propagates effects downstream by capturing inter-site regression relationships. Empirical models enable managers to search the space of possible strategies using rapid assessment. They provide not only realistic responses in water quality indicators but also variability in those indicators, allowing managers to assess strategies in an uncertain world.
authors.affiliation: CSIRO Wealth from Oceans Flagship, Ecosciences Precinct, GPO Box 2583, Brisbane, Qld 4001, Australia.
authors.forename: William
authors.initials: W
authors.lastname: de la Mare
authors.forename: Nick
authors.initials: N
authors.lastname: Ellis
authors.forename: Ricardo
authors.initials: R
authors.lastname: Pascual
authors.forename: Sharon
authors.initials: S
authors.lastname: Tickell
mesh_terms: D000818:Animals; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000379:methods*; D005398:Fisheries; D008962:Models, Theoretical; D011793:Queensland; D012623:Seawater / Q000032:analysis*; D014874:Water Pollutants, Chemical / Q000032:analysis; D060753:Water Quality
chemical_list: D014874:Water Pollutants, Chemical