eCite Digital Repository

An ecological risk assessment for managing and predicting trophic shifts in estuarine ecosystems using a Bayesian network

Citation

McDonald, KS and Tighe, M and Ryder, DS, An ecological risk assessment for managing and predicting trophic shifts in estuarine ecosystems using a Bayesian network, Environmental Modelling and Software, 85 pp. 202-216. ISSN 1364-8152 (2016) [Refereed Article]

Copyright Statement

2016 Elsevier Ltd.

DOI: doi:10.1016/j.envsoft.2016.08.014

Abstract

Estuaries are dynamic systems at the transition between freshwater and marine ecosystems. In this study, a spatially and temporally explicit Bayesian network (BN) was developed for a tidally connected estuary in southeastern Australia. The BN provides an environmental risk assessment (ERA) for the probability of a shift to a eutrophied state based on markers of pelagic and benthic primary production. The model was created to provide an initial framework of system knowledge based on empirical data, with the intention that the model and its linkages be iteratively developed as more information becomes available. The BN was investigated for its potential to predict trophic shifts and provide a framework for evidence-based decision making. Model assessment was conducted through both sensitivity analysis and scenario tests. Through evaluation and updating, the BN can provide information on the key nutrients and bio-physical mechanisms regulating changes in trophic state in estuarine ecosystems.

Item Details

Item Type:Refereed Article
Keywords:modelling, ecosystem health, ecology
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Freshwater ecology
Objective Division:Environmental Management
Objective Group:Coastal and estuarine systems and management
Objective Field:Assessment and management of coastal and estuarine ecosystems
UTAS Author:McDonald, KS (Ms Karlie McDonald)
ID Code:154688
Year Published:2016
Web of Science® Times Cited:14
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2022-12-21
Last Modified:2023-01-12
Downloads:0

Repository Staff Only: item control page