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Minireview: The importance of benthic-pelagic coupling and the forgotten role of life cycles in coastal aquatic systems
Open accessAbstract
The classical models of production and plankton community dynamics in coastal waters include an important role for benthic-pelagic coupling in the form of biogcochemical cycling (the turnover of nutrients in the form of either living matter or its decomposed constituents). We think, however, that biogeochemical explanations of ecosystem functioning underrepresent the actual complexity of the studied phenomena. We suggest that models will be more complete if they incorporate life-cycle patterns of planktonic and benthic organisms. The inclusion of such biological information into an ecological context will enhance the understanding of ecological patterns of global importance. What we presently know provides compelling evidence that new research directions, ranging from sedimentology to systematics and from physiology to molecular biology, are needed.
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Metadata
- Authors
- Marcus, N. H., & Marcus, N. H.
- Venue
- Limnology and Oceanography
- Publisher
- Wiley
- Published
- 1998-07
- Volume
- 43
- Issue
- 5
- Pages
- 763-768
- ISSN
- 0024-3590 (ISSN-L)
- OpenAlex
- W1992266216
- Cited by
- 263
- References
- 0
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Minireview: The importance of benthic-pelagic coupling and the forgotten role of life cycles in coastal aquatic systems. https://app.cochat.ai/papers/10.4319/lo.1998.43.5.0763
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- Marcus, N. H., & Marcus, N. H. (1998). Minireview: The importance of benthic-pelagic coupling and the forgotten role of life cycles in coastal aquatic systems. Limnology and Oceanography. https://doi.org/10.4319/lo.1998.43.5.0763
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.