P. W. Downs, P. J. Soar, A. L. Cox, D. S. Biedenharn, T. A. Dahl, C. P. Haring, C. R. Thorne
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The approach requires converting forecasting model outputs into metrics of channel evolution that highlight transitions either within or between channel morphology states. Here, seven process-based state transition metrics are proposed covering channel planform, morphological stability, corridor belt width, floodplain connectivity, bank erosion rate, bedform habitat diversity, and ecohydraulic diversity. To aid decision support, the metrics are converted into graphical indicators that are intuitive for management use and assembled into several prototype dashboard-style graphical user interfaces designed to facilitate interactivity. A proof-of-concept illustration is provided and priorities in development toward a fully operational decision support tool are discussed. Such developments are critical in ensuring the practical relevance of geomorphology.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":"60 2","pages":"442-460"},"PeriodicalIF":2.6000,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.13183","citationCount":"0","resultStr":"{\"title\":\"Visioning channel evolution for river management: Toward a functional decision support framework\",\"authors\":\"P. W. Downs, P. J. Soar, A. L. Cox, D. S. Biedenharn, T. A. Dahl, C. P. Haring, C. R. 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Visioning channel evolution for river management: Toward a functional decision support framework
Improvements in simulating and communicating the evolutionary trajectory of river morphology in response to environmental forcing over multi-decadal timeframes would foreshadow the development of “foresight competency” in river management, whereby resource managers could strategically plan toward the most preferred of several plausible futures. Of the six steps in foresight competency, visioning, which involves translating scientific forecasts into a format useable by resource managers via a user-friendly and interactive decision support tool that supports transparent decision-making, is the least well developed. The approach requires converting forecasting model outputs into metrics of channel evolution that highlight transitions either within or between channel morphology states. Here, seven process-based state transition metrics are proposed covering channel planform, morphological stability, corridor belt width, floodplain connectivity, bank erosion rate, bedform habitat diversity, and ecohydraulic diversity. To aid decision support, the metrics are converted into graphical indicators that are intuitive for management use and assembled into several prototype dashboard-style graphical user interfaces designed to facilitate interactivity. A proof-of-concept illustration is provided and priorities in development toward a fully operational decision support tool are discussed. Such developments are critical in ensuring the practical relevance of geomorphology.
期刊介绍:
JAWRA seeks to be the preeminent scholarly publication on multidisciplinary water resources issues. JAWRA papers present ideas derived from multiple disciplines woven together to give insight into a critical water issue, or are based primarily upon a single discipline with important applications to other disciplines. Papers often cover the topics of recent AWRA conferences such as riparian ecology, geographic information systems, adaptive management, and water policy.
JAWRA authors present work within their disciplinary fields to a broader audience. Our Associate Editors and reviewers reflect this diversity to ensure a knowledgeable and fair review of a broad range of topics. We particularly encourage submissions of papers which impart a ''take home message'' our readers can use.