Improving Ecological Response Monitoring of Environmental Flows

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• 作者：Alison J. King (1) (2)
  Ben Gawne (3) (4)
  Leah Beesley (2) (5)
  John D. Koehn (2)
  Daryl L. Nielsen (3)
  Amina Price (3) (4)
  
  1. Research Institute for Environment and Livelihoods ; Charles Darwin University ; Darwin ; NT ; 0909 ; Australia
  2. Arthur Rylah Institute for Environmental Research ; 123 Brown St. ; Heidelberg ; VIC ; 3084 ; Australia
  3. The Murray-Darling Freshwater Research Centre ; PO Box 991 ; Wodonga ; VIC ; 3689 ; Australia
  4. La Trobe University ; Wodonga ; VIC ; 3689 ; Australia
  5. Centre of Excellence in Natural Resource Management ; University of Western Australia ; Albany ; 6330 ; Australia
  
• 关键词：Environmental water ; River restoration ; Conceptual models ; Adaptive management
• 刊名：Environmental Management
• 出版年：2015
• 出版时间：May 2015
• 年：2015
• 卷：55
• 期：5
• 页码：991-1005
• 全文大小：657 KB
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• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environmental Management
  Ecology
  Nature Conservation
  Atmospheric Protection, Air Quality Control and Air Pollution
  Forestry Management
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  
• 出版者：Springer New York
• ISSN：1432-1009

文摘

Environmental flows are now an important restoration technique in flow-degraded rivers, and with the increasing public scrutiny of their effectiveness and value, the importance of undertaking scientifically robust monitoring is now even more critical. Many existing environmental flow monitoring programs have poorly defined objectives, nonjustified indicator choices, weak experimental designs, poor statistical strength, and often focus on outcomes from a single event. These negative attributes make them difficult to learn from. We provide practical recommendations that aim to improve the performance, scientific robustness, and defensibility of environmental flow monitoring programs. We draw on the literature and knowledge gained from working with stakeholders and managers to design, implement, and monitor a range of environmental flow types. We recommend that (1) environmental flow monitoring programs should be implemented within an adaptive management framework; (2) objectives of environmental flow programs should be well defined, attainable, and based on an agreed conceptual understanding of the system; (3) program and intervention targets should be attainable, measurable, and inform program objectives; (4) intervention monitoring programs should improve our understanding of flow-ecological responses and related conceptual models; (5) indicator selection should be based on conceptual models, objectives, and prioritization approaches; (6) appropriate monitoring designs and statistical tools should be used to measure and determine ecological response; (7) responses should be measured within timeframes that are relevant to the indicator(s); (8) watering events should be treated as replicates of a larger experiment; (9) environmental flow outcomes should be reported using a standard suite of metadata. Incorporating these attributes into future monitoring programs should ensure their outcomes are transferable and measured with high scientific credibility.