Putting the “Ecology” into Environmental Flows: Ecological Dynamics and Demographic Modelling

• Published in: Environmental management (New York) 2012-07, Vol.50 (1), p.1-10
• Main Authors: Shenton, Will, Bond, Nicholas R., Yen, Jian D. L., Mac Nally, Ralph
• Format: Article
• Language: English
• Subjects: Aquatic ecosystems; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Climate change; Climate variability; Conservation of Natural Resources - methods; Demographics; Demography; Dynamics; Earth and Environmental Science; Ecological and Environmental Phenomena; Ecological effects; Ecology; Ecosystem; Environment; Environmental Management; Environmental Monitoring - methods; Environmental Policy; Forestry Management; Fresh Water; Freshwater; Habitats; Hydrology; Management; Mathematical models; Modelling; Models, Theoretical; Natural flow; Nature Conservation; Population; Population status; Restoration; Riparian ecology; River flow; Rivers; Streams; Waste Water Technology; Water; Water flow; Water Management; Water Pollution Control; Water resources management; Water Supply - standards
• ISSN: 0364-152X; 1432-1009
• DOI: 10.1007/s00267-012-9864-z

There have been significant diversions of water from rivers and streams around the world; natural flow regimes have been perturbed by dams, barriers and excessive extractions. Many aspects of the ecological ‘health’ of riverine systems have declined due to changes in water flows, which has stimulated the development of thinking about the maintenance and restoration of these systems, which we refer to as environmental flow methodologies (EFMs). Most existing EFMs cannot deliver information on the population viability of species because they: (1) use habitat suitability as a proxy for population status; (2) use historical time series (usually of short duration) to forecast future conditions and flow sequences; (3) cannot, or do not, handle extreme flow events associated with climate variability; and (4) assume process stationarity for flow sequences, which means the past sequences are treated as good indicators of the future. These assumptions undermine the capacity of EFMs to properly represent risks associated with different flow management options; assumption (4) is untenable given most climate-change predictions. We discuss these concerns and advocate the use of demographic modelling as a more appropriate tool for linking population dynamics to flow regime change. A ‘meta-species’ approach to demographic modelling is discussed as a useful step from habitat based models towards modelling strategies grounded in ecological theory when limited data are available on flow-demographic relationships. Data requirements of demographic models will undoubtedly expose gaps in existing knowledge, but, in so doing, will strengthen future efforts to link changes in river flows with their ecological consequences.