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| Titel |
Distribution of phytoplankton functional types in high-nitrate, low-chlorophyll waters in a new diagnostic ecological indicator model |
| VerfasserIn |
A. P. Palacz, M. A. St. John, R. J. W. Brewin, T. Hirata, W. W. Gregg |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 10, no. 11 ; Nr. 10, no. 11 (2013-11-22), S.7553-7574 |
| Datensatznummer |
250085434
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| Publikation (Nr.) |
 copernicus.org/bg-10-7553-2013.pdf |
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| Zusammenfassung |
| Modeling and monitoring plankton functional types (PFTs) is challenged by the insufficient amount of
field measurements of ground truths in both plankton models and bio-optical algorithms. In this study,
we combine remote sensing data and a dynamic plankton model to simulate an ecologically sound
spatial and temporal distribution of phyto-PFTs. We apply an innovative ecological indicator
approach to modeling PFTs and focus on resolving the question of diatom–coccolithophore
coexistence in the subpolar high-nitrate and low-chlorophyll regions. We choose an artificial
neural network as our modeling framework because it has the potential to interpret complex
nonlinear interactions governing complex adaptive systems, of which marine ecosystems are a prime
example. Using ecological indicators that fulfill the criteria of measurability, sensitivity and
specificity, we demonstrate that our diagnostic model correctly interprets some basic ecological
rules similar to ones emerging from dynamic models. Our time series highlight a dynamic phyto-PFT
community composition in all high-latitude areas and indicate seasonal coexistence of diatoms
and coccolithophores. This observation, though consistent with in situ and remote sensing
measurements, has so far not been captured by state-of-the-art dynamic models, which struggle to resolve
this "paradox of the plankton". We conclude that an ecological indicator approach is useful for
ecological modeling of phytoplankton and potentially higher trophic levels. Finally, we speculate
that it could serve as a powerful tool in advancing ecosystem-based management of marine
resources. |
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