Fuzzy modeling of cyanobacterial surface waterblooms: Validation with NOAA-AVHRR satellite images

By Bas Willem Ibelings, M. Vonk, H. Los, D. van der Molen, Wolf M. Mooij. 2003

113 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Oceanography, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/c47e7a60e898d1c8a502bc59511310733f8d250e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Chemistry

1. Hans W. Paerl
2. J. Huisman
3. P. Visser
4. Valerie J. Paul
5. Ellen van Donk
6. Bas Willem Ibelings
7. J. Sharples
8. L. M. Pires

In Oceanography

1. Hans W. Paerl
2. J. Huisman
3. P. Visser
4. J. Sharples
5. Valerie J. Paul
6. Ben P. Sommeijer
7. Bas Willem Ibelings
8. J. Stroom

In Water Science and Technology

1. Ellen van Donk
2. Thomas Petzoldt
3. Hans W. Paerl
4. R. D. Gulati

Citations in the corpus

• Summer heatwaves promote blooms of harmful cyanobacteria (2008, background): “Previous studies have indicated that warm summers with little vertical mixing provide ideal conditions for surface blooms of harmful cyanobacteria (Reynolds, 1997; Ibelings et al., 2003; Robson & Hamilton, 2003; Mooij et al., 2005).”
• Grazing on colonial and filamentous, toxic and non-toxic cyanobacteria by the zebra mussel Dreissena polymorpha (2005, background): “In Lake IJsselmeer, the Netherlands, a reverse gradient exists between the occurrence of cyanobacteria and zebra mussels (Ibelings et al., 2003).”
• Climate change: links to global expansion of harmful cyanobacteria. (2012, background): “Using remote sensing, Kahru et al. (1993) found temperatures of surface blooms in the Baltic Sea to be at least 1.5 C above ambient waters, and Ibelings et al. (2003) noted that the surface temperatures within cyanobacterial blooms in Lake IJsselmeer, Netherlands, were higher than the surrounding…”
• Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective (2015, background): “AEMs can also be used for near real-time modelling and forecasting to facilitate immediate management decisions on, for instance, the shutdown of drinking water intakes (Huang et al. 2012; Silva et al. 2014) or the suitability of water for swimming (Ibelings et al. 2003).”
• GEM: a generic ecological model for estuaries and coastal waters (2009, background): “…and brackish water systems, close relatives to the GEM model have also been applied successfully in a number of freshwater systems, such as the Dutch ‘IJsselmeer’ (Ibelings et al., 2003) and ‘Veluwemeer’ (Van der Molen et al., 1994) and ‘Laguna de Bay’ in the Philippines (Nolte & Chua, 2003).”
• Controlling harmful cyanobacterial blooms in a world experiencing anthropogenic and climatic-induced change. (2011, background): “Intense light absorption by dense surface cyanobacterial blooms can locally increase water temperatures (Kahru et al., 1993; Ibelings et al., 2003), thereby creating a positive feedback that perpetuates further CyanoHAB dominance (Hense, 2007).”