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Developing best-practice Bayesian Belief Networks in ecological risk assessments for freshwater and estuarine ecosystems: a quantitative review
Citation
McDonald, KS and Ryder, DS and Tighe, M, Developing best-practice Bayesian Belief Networks in ecological risk assessments for freshwater and estuarine ecosystems: a quantitative review, Journal of Environmental Management, 154 pp. 190-200. ISSN 0301-4797 (2015) [Refereed Article]
Copyright Statement
© 2015 Elsevier Ltd.
DOI: doi:10.1016/j.jenvman.2015.02.031
Abstract
Bayesian Belief Networks (BBNs) are being increasingly used to develop a range of predictive models and
risk assessments for ecological systems. Ecological BBNs can be applied to complex catchment and water
quality issues, integrating multiple spatial and temporal variables within social, economic and environmental
decision making processes. This paper reviews the essential components required for ecologists
to design a best-practice predictive BBN in an ecological risk assessment (ERA) framework for
aquatic ecosystems, outlining: (1) how to create a BBN for an aquatic ERA?; (2) what are the challenges
for aquatic ecologists in adopting the best-practice applications of BBNs to ERAs?; and (3) how can BBNs
in ERAs influence the science/management interface into the future? The aims of this paper are achieved
using three approaches. The first is to demonstrate the best-practice development of BBNs in aquatic
sciences using a simple nutrient model. The second is to discuss the limitations and challenges aquatic
ecologists encounter when applying BBNs to ERAs. The third is to provide a framework for integrating
best-practice BBNs into ERAs and the management of aquatic ecosystems. A quantitative review of the
application and development of BBNs in aquatic science from 2002 to 2014 was conducted to identify
areas where continued best-practice development is required. We outline a best-practice framework for
the integration of BBNs into ERAs and study of complex aquatic systems.
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: | 154689 |
| Year Published: | 2015 |
| Web of Science® Times Cited: | 28 |
| Deposited By: | Sustainable Marine Research Collaboration |
| Deposited On: | 2022-12-21 |
| Last Modified: | 2023-01-12 |
| Downloads: | 0 |
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