Progress and challenges in coupled hydrodynamic-ecological estuarine modeling

dc.contributor.author Ganju, Neil K.
dc.contributor.author Brush, Mark J.
dc.contributor.author Rashleigh, Brenda
dc.contributor.author Aretxabaleta, Alfredo L.
dc.contributor.author del Barrio, Pilar
dc.contributor.author Grear, Jason S.
dc.contributor.author Harris, Lora A.
dc.contributor.author Lake, Samuel J.
dc.contributor.author McCardell, Grant
dc.contributor.author O’Donnell, James
dc.contributor.author Ralston, David K.
dc.contributor.author Signell, Richard P.
dc.contributor.author Testa, Jeremy M.
dc.contributor.author Vaudrey, Jamie M. P.
dc.date.accessioned 2016-03-08T19:24:47Z
dc.date.available 2016-03-08T19:24:47Z
dc.date.issued 2015-07-07
dc.description © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Estuaries and Coasts 39 (2016): 311-332, doi:10.1007/s12237-015-0011-y. en_US
dc.description.abstract Numerical modeling has emerged over the last several decades as a widely accepted tool for investigations in environmental sciences. In estuarine research, hydrodynamic and ecological models have moved along parallel tracks with regard to complexity, refinement, computational power, and incorporation of uncertainty. Coupled hydrodynamic-ecological models have been used to assess ecosystem processes and interactions, simulate future scenarios, and evaluate remedial actions in response to eutrophication, habitat loss, and freshwater diversion. The need to couple hydrodynamic and ecological models to address research and management questions is clear because dynamic feedbacks between biotic and physical processes are critical interactions within ecosystems. In this review, we present historical and modern perspectives on estuarine hydrodynamic and ecological modeling, consider model limitations, and address aspects of model linkage, skill assessment, and complexity. We discuss the balance between spatial and temporal resolution and present examples using different spatiotemporal scales. Finally, we recommend future lines of inquiry, approaches to balance complexity and uncertainty, and model transparency and utility. It is idealistic to think we can pursue a “theory of everything” for estuarine models, but recent advances suggest that models for both scientific investigations and management applications will continue to improve in terms of realism, precision, and accuracy. en_US
dc.description.sponsorship NKG, ALA, and RPS acknowledge support from the USGS Coastal and Marine Geology Program. DKR gratefully acknowledges support from NSF (OCE-1314642) and NIEHS (1P50-ES021923-01). MJB and JMPV gratefully acknowledge support from NOAA NOS NCCOS (NA05NOS4781201 and NA11NOS4780043). MJB and SJL gratefully acknowledge support from the Strategic Environmental Research and Development Program—Defense Coastal/Estuarine Research Program (RC-1413 and RC-2245). en_US
dc.identifier.citation Estuaries and Coasts 39 (2016): 311-332 en_US
dc.identifier.doi 10.1007/s12237-015-0011-y
dc.identifier.uri https://hdl.handle.net/1912/7843
dc.language.iso en_US en_US
dc.publisher Springer en_US
dc.relation.uri https://doi.org/10.1007/s12237-015-0011-y
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Numerical modeling en_US
dc.subject Hydrodynamics en_US
dc.subject Ecological modeling en_US
dc.subject Ecosystem modeling en_US
dc.subject Skill assessment en_US
dc.title Progress and challenges in coupled hydrodynamic-ecological estuarine modeling en_US
dc.type Article en_US
dspace.entity.type Publication
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