Progress and Challenges in Coupled Hydrodynamic-Ecological Estuarine Modeling
Estuaries and Coasts, ISSN: 1559-2731, Vol: 39, Issue: 2, Page: 311-332
2016
- 80Citations
- 229Captures
- 2Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations80
- Citation Indexes76
- 76
- CrossRef43
- Policy Citations4
- Policy Citation4
- Captures229
- Readers229
- 229
- Mentions2
- Blog Mentions2
- Blog2
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Review Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84957440138&origin=inward; http://dx.doi.org/10.1007/s12237-015-0011-y; http://www.ncbi.nlm.nih.gov/pubmed/27721675; http://link.springer.com/10.1007/s12237-015-0011-y; https://dx.doi.org/10.1007/s12237-015-0011-y; https://link.springer.com/article/10.1007%2Fs12237-015-0011-y
Springer Science and Business Media LLC
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