Producing monitoring tools to support the management of aquatic ecosystems
We aim to produce cost-effective, sensitive and robust monitoring tools that support assessment and monitoring of aquatic ecosystems leading to informed decision making. Our research seeks to more accurately detect and model trends in ecological condition, identify emerging threats, test hypothesis, and evaluate the efficacy of management interventions.
We detect and diagnose the source of threatening processes
Environmental managers urgently need appropriate monitoring and assessment tools to meet a range of mandated reporting requirements and evaluate trade-offs in decision making. We specialise in detecting the sources of impacts and monitoring the effectiveness of management interventions.
We monitor and assess to evaluate the condition of species, populations and ecological processes
Combining both structural and functional techniques enables a more holistic approach to monitoring and assessment of aquatic ecosystems. We use traditional structural methods, such as surveys for fish and macroinvertebrate community structure and algal production, as well as measurements of ecosystem function, to predict ecological responses under future management and environmental scenarios.
Predictions of responses to natural and anthropogenic disturbances and rehabilitation actions
Land management activities, natural processes, and extreme climatic events can have interactive and immediate to long-term effects on the ecological structure and function of freshwater environments. We use knowledge of patterns and processes in aquatic ecosystems for predictive assessments.
Read about some of our projects:
Our experts working in this field:
- Professor Stuart Bunn
- Professor Michele Burford
- Professor Fred Leusch
- Professor Fran Sheldon
- Associate Professor Mark Kennard
- Associate Professor Sam Capon
- Dr Ben Stewart-Koster
- Dr Simon Linke
- Dr Wade Hadwen
- Dr Ryan Burrows
- Dr Michael Venarsky
- Dr Edoardo Bertone
- Dr Marieke Frassl
- Dr Ryan Pearson
- Dr Michael Sievers