Predicting ecological responses to environmental flows: making best use of the literature, expert knowledge, and monitoring data (#99)
Angus Webb
1
,
Siobhan C de Little
1
,
Kimberly A Miller
1
,
Michael J Stewardson
1
,
Ian Rutherfurd
1
,
Andrew Sharpe
,
Lisa Patulny
1
2
,
N LeRoy Poff
3
- University of Melbourne, Carlton, Vic, Australia
- Coffey Environments, Abbotsford, Victoria, Australia
- Department of Biology, Colorado State University, Fort Collins, Colorado, United States
Around
the world governments are making huge investments in environmental flows.
However, much of the rationale for these releases is based on expert opinion,
which is non transparent and can be challenged. Radically different approaches
are required to inform the development of general predictive models of
ecological response to flow alteration. Here, we describe such an approach,
which attempts to make best use of all the information available from the
literature, experts, and monitoring data to inform the development of general
quantitative response models. We illustrate the process using the example of
terrestrial vegetation encroachment into regulated river channels.
Environmental flow assessments frequently propose that flow releases can be
used to remove this vegetation. However, the evidence for these predictions has
not been rigorously tested. Our analysis of literature, experts, and a
purpose-designed monitoring data set of nearly 10,000 points, found strong
evidence that increased inundation duration reduces terrestrial vegetation
within river channels. Predicted cover dropped rapidly towards 0% with
relatively short inundation period (e.g. 50 days) for most sites. However,
dividing the same total inundation period into several separate inundation
events reduces its effectiveness. More importantly, the model allows us to make
quantitative predictions of vegetation cover under different inundation
scenarios. While our project is focused on demonstrating that the Victorian
environmental flows program has been a sound investment of public funds, our
results also have the potential to be incorporated into planning and
decision-making processes, helping to drive a transformation in evidence-based
practice for environmental flow management.