L. Amoudry, A. Payo, A. Plater, M. Solan, R. McCarroll, I. Möller, T. Spencer, C. Thompson, Jennifer M. Brown, S. Brooks, A. Barkwith, G. Coco, N. Leonardi, M. Ellis, M. Wegen, J. Godbold, D. Paterson, E. Lazarus, R. Whitehouse, A. Souza
{"title":"COMBINED EFFECTS OF PHYSICAL AND BIOLOGICAL PROCESSES ON COASTAL DYNAMICS AND RECOVERY: THE BLUECOAST PROJECT APPROACH","authors":"L. Amoudry, A. Payo, A. Plater, M. Solan, R. McCarroll, I. Möller, T. Spencer, C. Thompson, Jennifer M. Brown, S. Brooks, A. Barkwith, G. Coco, N. Leonardi, M. Ellis, M. Wegen, J. Godbold, D. Paterson, E. Lazarus, R. Whitehouse, A. Souza","doi":"10.1142/9789811204487_0258","DOIUrl":null,"url":null,"abstract":"Poorly constrained uncertainties limit the prediction of medium to long-term regional sediment budgets and morphological change, and thus hinder coastal management decision-making. We present a multi-disciplinary approach that aims to address this challenge and is implemented in the BLUEcoast project. The approach brings together scientists and coastal stakeholders across a range of scientific disciplines. Quantifying all processes at all scales is not feasible and our approach uses targeted representative case studies, which are carefully selected to allow subsequent upscaling and ensure transferability. We illustrate this approach with specific examples from the BLUEcoast consortium.","PeriodicalId":254775,"journal":{"name":"Coastal Sediments 2019","volume":"18 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Coastal Sediments 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9789811204487_0258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Poorly constrained uncertainties limit the prediction of medium to long-term regional sediment budgets and morphological change, and thus hinder coastal management decision-making. We present a multi-disciplinary approach that aims to address this challenge and is implemented in the BLUEcoast project. The approach brings together scientists and coastal stakeholders across a range of scientific disciplines. Quantifying all processes at all scales is not feasible and our approach uses targeted representative case studies, which are carefully selected to allow subsequent upscaling and ensure transferability. We illustrate this approach with specific examples from the BLUEcoast consortium.
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