REGULATED RIVERS: RESEARCH & MANAGEMENT
Regul. Riers: Res. Mgmt. 16: 403–420 (2000)
USING DISASTER TO PREVENT CATASTROPHE: REFERENCING
THE IMPACTS OF FLOW CHANGES IN LARGE DRYLAND RIVERS
FRAN SHELDON
a,b
, MARTIN C. THOMS
a,c,
*, OLIVER BERRY
b
AND JIM PUCKRIDGE
a,b
a
Co -operatie Research Centre for Freshwater Ecology, Uniersity of Canberra, Belconnen, ACT 2601, Australia
b
Department of Enironmental Biology, Uniersity of Adelaide, Adelaide, South Australia 5005, Australia
c
Uniersity of Canberra, Belconnen, ACT 2601, Australia
ABSTRACT
This paper outlines the hydrological change associated with water resources development for six rivers within the
Murray-Darling Basin. Hydrological change was assessed using simulated data from the Integrated Quantity and
Quality Model (IQQM) and a range of relatively simple flow statistics: the annual proportional flow deviation; the
frequencies of medium or high flow events; and the durations of low or no-flow events. The changes in physical
properties, water quality and biological characteristics within the six river systems were assessed from the literature
and summarized. This information was used to construct a series of hypothetical curves (reference curves)
summarizing ecological response to hydrological change. The suitability of these response curves was then checked
using data from a seventh river, Cooper Creek, a relatively major pristine endorheic system in central Australia.
Reference curves appear to be an effective tool for assessing the likely ecological responses of river systems to
increased hydrological change. Copyright © 2000 John Wiley & Sons, Ltd.
KEY WORDS: ecological response; hydrology; regulation; river
INTRODUCTION
It is difficult to predict the environmental impacts on large rivers when their flow regimes are altered.
Knowledge of their natural (or pre-development) hydrology and the links between their hydrology,
morphology and ecology is required. Long-term hydrological data are available for many river systems,
but there are few corresponding physical and biological data sets that can indicate the natural cause and
effect processes associated with flow changes. In some instances, the modelling of relevant processes in the
presence and absence of human activities has proved successful (Maheshwari et al., 1995), but this also
relies on the existence of data on flows and ecosystems. Information about pre-impact conditions
(‘natural’ structure and functioning) may also be obtained from palaeoecological studies: that is, studies
of historic and prehistoric conditions (Thoms et al., 1999). Here, the physical, chemical and biological
characters of sediments offer an opportunity to reconstruct the nature and timing of ecosystems’ responses
to natural and human disturbances. However, this painstaking work is slow compared to the time scales
at which river managers and scientists operate (Cullen, 1990) and is often considered inappropriate in the
face of rapid institutional change.
In environmental impact studies it is common to compare pristine or non-impacted sites and test or
impacted sites (e.g. Gurnell and Petts, 1995; Richter et al., 1995; Norris and Thoms, 1999). The prediction
usually relies upon assessing a group of flow statistics from the river in question in comparison to
statistics for similar river systems in which hydrological change and environmental impact have been
documented. If the rivers have similarly variable flows, this method provides a reasonable way of
estimating flow-related ecological impact (e.g. Poff and Ward, 1989; Gehrke, 1997). It is relatively quick
and inexpensive (cf. Norris and Thoms, 1999) and may provide a useful tool for managers attempting to
assess the level of ecosystem change given a known level of hydrological change.
* Correspondence to: Co-operative Research Centre for Freshwater Ecology, University of Canberra, Belconnen, ACT 2601,
Australia.
Copyright © 2000 John Wiley & Sons, Ltd.
Receied 24 March 1999
Reised 10 July 1999
Accepted 18 July 1999