Recent Advances in Modelling of Harmful Algal Blooms
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-70069-4_19
Reference59 articles.
1. Accoroni S, Glibert PM, Pichierri S et al (2015) A conceptual model of annual Ostreopsis cf. ovata blooms in the northern Adriatic Sea based on the synergic effects of hydrodynamics, temperature, and the N:P ratio of water column nutrients. Harmful Algae 45:14–25. https://doi.org/10.1016/j.hal.2015.04.002
2. Alves-de-Souza C, Pecqueur D, Le Floc’h E et al (2015) Significance of plankton community structure and nutrient availability for the control of dinoflagellate blooms by parasites: a modeling approach. PLoS One 10(6):e0127623. https://doi.org/10.1371/journal.pone.0127623
3. Aoki K, Onitsuka G, Shimizu M et al (2012) Factors controlling the spatio-temporal distribution of the 2009 Chattonella antiqua bloom in the Yatsushiro Sea, Japan. Estuar Coast Shelf Sci 114:148–155. https://doi.org/10.1016/j.ecss.2012.08.028
4. Berdalet E, Tester PA (2018) Key questions and recent research advances on harmful algal blooms in benthic systems. In: Glibert PM, Berdalet E, Burford M et al (eds) Global ecology and oceanography of harmful algal blooms. Springer, Cham, pp 261–286
5. Brown CW, Hood RR, Long W et al (2013) Ecological forecasting in Chesapeake Bay: using a mechanistic-empirical modeling approach. J Mar Syst 125:113–125. https://doi.org/10.1016/j.jmarsys.2012.12.007
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