Using a Bayesian network model to assess ecological responses to hydrological factor interactions

Kath, Jarrod M., Le Brocque, Andrew F. and Maron, Martine (2015) Using a Bayesian network model to assess ecological responses to hydrological factor interactions. Ecohydrology, 9 1: 11-20. doi:10.1002/eco.1597

Author Kath, Jarrod M.
Le Brocque, Andrew F.
Maron, Martine
Title Using a Bayesian network model to assess ecological responses to hydrological factor interactions
Journal name Ecohydrology   Check publisher's open access policy
ISSN 1936-0592
Publication date 2015-03-04
Year available 2015
Sub-type Article (original research)
DOI 10.1002/eco.1597
Open Access Status Not Open Access
Volume 9
Issue 1
Start page 11
End page 20
Total pages 10
Place of publication Chichester, West Sussex, United Kingdom
Publisher John Wiley & Sons
Collection year 2016
Language eng
Formatted abstract
Interactions between environmental factors can dramatically influence the relationships between a species and its environment. However, multiple types of interaction are possible, and as such, some may be overlooked. We used a Bayesian network to model the response of a riparian tree species, Eucalyptus camaldulensis Dehnh., to the interactive influences of hydrological factors. We used a novel conceptual framework, which included not only synergistic and antagonistic interactions but also qualitative interactions (i.e. the effect of an environmental factor that switches from positive to negative or vice versa depending on the value of another factor). Synergistic, antagonistic and qualitative interactions were all detected in the response of E. camaldulensis to hydrological factor interactions. The predicted influence of environmental factors varied dramatically when interactions were considered. In some instances, the likelihood of a certain outcome differed by greater than 80% when interactions were considered. For example, the negative impact of grazing on E. camaldulensis was far greater in areas of deep groundwater relative to areas of shallow groundwater. Interactions also led to qualitatively different predictions (i.e. a qualitative interaction occurred). For example, frequent wetland inundation had a positive influence on tree vigour in wetlands minimally impacted by weirs, but a negative influence in wetlands close to weirs. Considering interactions may therefore substantially change understanding of ecohydrological relationships. Thinking of interactions between factors as potentially qualitative, and not only as synergistic and antagonistic, is likely to be important in situations where multiple management interventions are proposed.
Keyword Synergistic
Bayesian network
Eucalyptus camaldulensis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2016 Collection
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Sat, 07 Mar 2015, 12:20:08 EST by Dr Martine Maron on behalf of School of Geography, Planning & Env Management