Challenges for determining frequency of high flow spells for varying thresholds in environmental flows programmes

References

• Arthington AH, Balcombe SR. 2011. Extreme flow variability and the ‘boom and bust' ecology of fish in arid‐zone floodplain rivers: a case history with implications for environmental flows, conservation and management. Ecohydrology 4(5):708–720.
   Web of Science ®Google Scholar
• Arthington AH, Bunn SE, Poff NL, Naiman RJ. 2006. The challenge of providing environmental flow rules to sustain river ecosystems. Ecol Appl. 16(4):1311–1318.
   PubMed Web of Science ®Google Scholar
• Clausen B, Biggs BJF. 1997. Relationship between benthic biota and hydrological indices in New Zealand streams. Freshwater Biol. 38:327–342.
   Web of Science ®Google Scholar
• Cunnane C. 1979. A note on the Poisson assumption in partial duration series models. Water Resour Res. 15(2):489–494.
   Web of Science ®Google Scholar
• Donald A, Nathan R, Reed J. 1999. Use of spells analysis as a practical tool to link ecological needs with hydrological characteristics. In: Rutherfurd I, Bartley R, editors. Proceedings of the Second Australian Stream Management Conference: The Challenge of Rehabilitating Australia's Streams; 1999 Feb 8–11; Adelaide, South Australia. p. 205–210.
   Google Scholar
• Downes BJ, Barmuta LA, Fairweather PG, Faith DP, Keough MJ, Lake P, Mapstone BD, Quinn GP. 2002. Monitoring ecological impacts: concepts and practice in flowing waters. New York (NY): Cambridge University Press.
   Google Scholar
• GBCMA. 2014. Goulburn River: seasonal watering proposal 2014–15. Shepparton: Goulburn-Broken Catchment Management Authority.
   Google Scholar
• Gippel CJ. 2001. Hydrological analyses for environmental flow assessment. In Ghassemi F, Whetton P, editors. Proceedings of the MODSIM 2001. Canberra: Modelling and Simulation Society of Australia and New Zealand. p. 873–880.
   Google Scholar
• Gippel CJ, Bond NR, James C, Wang X. 2009. An asset-based, holistic, environmental flows assessment approach. Water Resources Dev. 25(2):301–330.
   Web of Science ®Google Scholar
• Gordon ND, Finlayson BL, McMahon TA. 2004. Stream hydrology: an introduction for ecologists. Chichester: John Wiley and Sons.
   Google Scholar
• Hall AJ. 1971. Baseflow recessions and baseflow hydrograph separation problem. Proceedings of the Hydrology Symposium. Canberra: Institution of Engineers. p. 159–170.
   Google Scholar
• Harman C, Stewardson M. 2005. Optimizing dam release rules to meet environmental flow targets. River Res Appl. 21:113–129.
   Web of Science ®Google Scholar
• Hirji R, Davis R. 2009. Environmental flows in water resources policies, plans, and projects: case studies, in natural resource management. Washington (DC): The World Bank Environment Department.
   Google Scholar
• Hornberger GM, Wiberg PL, D'Odorico P, Raffensperger JP. 2014. Elements of physical hydrology. Baltimore (MD): Johns Hopkins University Press.
   Google Scholar
• Horne A, Kaur S, Szemis J, Costa A, Webb JA, Nathan R, Stewardson M, Lowe L, Boland N. 2017. Using optimization to develop a “designer” environmental flow regime. Environ Modell Softw. 88:188–199.
   Web of Science ®Google Scholar
• Horne A, Szemis J, Webb JA, Kaur S, Stewardson MJ, Bond N, Nathan R. in press. The challenge of translating ecology to inform environmental water management decisions: the requirements of planning and implementation cycles.
   Google Scholar
• Kondolf GM, Wilcock PR. 1996. The flushing flow problem: defining and evaluating objectives. Water Resour Res. 32(8):2589–2599.
   Web of Science ®Google Scholar
• Lake JS. 1967. Rearing experiments with five species of Australian freshwater fishes. I. Inducement to spawning. Mar Freshwater Res. 18(2):137–154.
   Web of Science ®Google Scholar
• Lang M, Ouarda TBMJ, Bobée B. 1999. Towards operational guidelines for over-threshold modeling. J Hydrol. 225(3–4):103–117.
   Web of Science ®Google Scholar
• Mathews R, Richter B. 2007. Application of the indicators for hydrologic alteration software in environmental flow setting. J Am Water Resour Assoc. 43(6) : 1–14.
   Web of Science ®Google Scholar
• Nathan R, McMahon T. 1990. Evaluation of automated techniques for base flow and recession analyses. Water Resour Res. 26(7):1465–1473.
   Web of Science ®Google Scholar
• O'Connor J, Mahoney J. 2004. Observations of ovarian involution in the Australian grayling (Prototroctes mareana). Ecol Freshwater Fish 13(1):70–73.
   Web of Science ®Google Scholar
• O'Donnell E. 2013. Common legal and policy factors in the emergence of environmental water managers. WIT Trans Ecol Environ. 178:321–333.
   Google Scholar
• Olden JD, Poff NL. 2003. Redundancy and the choice of hydrology indices for characterizing streamflow regimes. River Res Appl. 19:101–121.
   Web of Science ®Google Scholar
• Pitlick J, Van Steeter MM. 1998. Geomorphology and endangered fish habitats of the upper Colorado River 2. Linking sediment transport to habitat maintenance. Water Resour Res. 34(2):303–316.
   Web of Science ®Google Scholar
• Poff NL, Allan JD, Bain MB, Karr JR, Prestegaard KL, Richter BD, Sparks RE, Stromberg JC. 1997. The natural flow regime. BioScience 47(11):769–784.
   Google Scholar
• Poff NL, Richter BD, Arthington AH, Bunn SE, Naiman RJ, Kendy E, Acreman M, Apse C, Bledsoe BP, Freeman MC. 2010. The ecological limits of hydrologic alteration (ELOHA): a new framework for developing regional environmental flow standards. Freshwater Biol. 55(1):147–170.
   Web of Science ®Google Scholar
• Poff NL, Zimmerman JK. 2010. Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows. Freshwater Biol. 55(1):194–205.
   Web of Science ®Google Scholar
• Pollino C, Lester R, Podger G, Black D, Overton I. 2011. Analysis of South Australia's environmental water and water quality requirements and their delivery under the guide to the proposed Basin plan. Goyder Institute for Water Research, Technical Report Series 11(2).
   Google Scholar
• Puckridge JT, Sheldon F, Walker KF, Boulton AJ. 1998. Flow variability and the ecology of large rivers. Mar Freshwater Res. 49:55–72.
   Web of Science ®Google Scholar
• Reinfelds I, Walsh C, Meulen D, Growns I, Gray C. 2013. Magnitude, frequency and duration of in stream flows to stimulate and facilitate catadromous fish migrations: Australian bass (Macquaria novemaculeata Perciformes, Percichthyidae). River Res Appl. 29(4):512–527.
   Web of Science ®Google Scholar
• Reynolds L. 1976. Decline of native fish species in the River Murray. SAFIC 1(8):19–24.
   Google Scholar
• Reynolds L. 1983. Migration patterns of five fish species in the Murray-Darling River system. Mar Freshwater Res. 34(6):857–871.
   Web of Science ®Google Scholar
• Richter B, Baumgartner J, Powell J, Braun D. 1996. A method for assessing hydrologic alteration within ecosystems. Conserv Biol. 10(4):1163–1174.
   Web of Science ®Google Scholar
• Richter BD, Thomas GA. 2007. Restoring environmental flows by modifying dam operations. Ecol Soc. 12(1):12.
   Web of Science ®Google Scholar
• Shenton W, Hart BT, Chan T. 2011. Bayesian network models for environmental flow decision-making: 1. Latrobe River Australia. River Res Appl. 27(3):283–296.
   Web of Science ®Google Scholar
• Smakhtin V. 2001. Low flow hydrology: a review. J Hydrol. 240(3):147–186.
   Web of Science ®Google Scholar
• Stewardson MJ, Gippel CJ. 2003. Incorporating flow variability into environmental flow regimes using the flow spells method. River Res Appl. 19:459–472.
   Web of Science ®Google Scholar
• Tockner K, Malard F, Ward J. 2000. An extension of the flood pulse concept. Hydrol Processes 14(16–17):2861–2883.
   Web of Science ®Google Scholar
• USWRC. 1976. Guidelines for determining flood flow frequency. Washington (DC): United States Water Resources Council Hydrology Communication.
   Google Scholar
• Webb J, Little S, Miller K, Stewardson M, Rutherfurd I, Sharpe A, Patulny L, Poff N. 2015. A general approach to predicting ecological responses to environmental flows: making best use of the literature, expert knowledge, and monitoring data. River Res Appl. 31(4):505–514.
   Web of Science ®Google Scholar
• Webb JA, Koster WM, Stuart IG, Reich P, Stewardson MJ. in press. Make the most of the data you've got: Bayesian models and a surrogate species approach to assessing benefits of upstream migration flows for the endangered Australian grayling. Environ Manage. DOI:10.1007/s00267-017-0822-7
   Google Scholar
• Yevjevich V. 1972. Stochastic processes in hydrology. Fort Collins (CO): Water Resources Publications.
   Google Scholar