Investigating the roles of intrinsic and extrinsic factors in the blooms of Pyrodinium bahamense var. compressum using an individual-based model

Seed banks can help to maintain the diversity of interacting phytoplankton species

“…More research on dormant stages may be needed to parameterize truly predictive mechanistic phytoplankton models with multiple life stages, in particular to inform parameters such as the sinking rate of resting cells, as well as burial and resuspension parameters. These parameters are all linked to hydrodynamics (Yamamoto et al, 2002;Yñiguez et al, 2012) and may locally vary. Sinking rates show an interesting conflict between short-and long-term survival: in coastal areas, a fraction of sinking cells contribute to the cyst bank, increasing the odds of species long-term survival at the cost of short-term individual cell survival.…”

“…Cyst formation can either be part of the life cycle of phytoplankton species and result from sexual reproduction or be triggered by specific environmental conditions, leading to asexual resting stages (Ellegaard & Ribeiro, 2018). A variety of models have endeavoured to explain and predict amplitude, timing and/or spatial distribution of blooms by explicitly modeling multiple stages in the life cycle of a particular species, but without interactions with other organisms (see for example McGillicuddy et al, 2005;Hense & Beckmann, 2006;Hellweger et al, 2008;Yñiguez et al, 2012). Two-to-four species (Yamamoto et al, 2002;Estrada et al, 2010;Lee et al, 2018) models also exist, but they focus on explaining the dynamics of a single cyst-forming species or group interacting mostly with vegetative-only groups.…”

Modeling rational, psychological, and social behavior toward diffusion of new technology using agent-based simulation: the case of the public utility jeepney (PUJ) fleet in Metro Manila

“…ABMs are commonly used in many science, engineering, and business research works to model a variety of real-world systems in a broad range of areas and disciplines. For example, environmental modeling (Schmitz, Karssenberg, Jong, Kok, & Jong, 2013; Sichao, Yamamoto, & Yamaji, 2010), energy policy (Lee, Yao, & Coker, 2014), energy scenarios (Yücel & van Daalen, 2012), energy management (Boulanger & Bréchet, 2005; Feroze, 2009), sociology (Hopkins, 2009), biology (Kiran, Coakley, Walkinshaw, McMinn, & Holcombe, 2008; Mehdizadeh, Sumo, Bayrak, Brey, & Cinar, 2013), ecology (Barnaud, Bousquet, & Trebuil, 2008; Haythorne & Skabar, 2012; Topping et al, 2003; Vincenot, Giannino, Rietkerk, Moriya, & Mazzoleni, 2011; Yñiguez et al, 2012; Yñiguez, McManus, & DeAngelis, 2008), psychology (Wendel & Oppenheimer, 2010), economics (Ciarli, Lorentz, Savona, & Valente, 2008; Cincotti, Raberto, & Teglio, 2010; Page, 2012; Riccetti, Russo, & Gallegati, 2013), and finance (Chen, 2007). ABMs were applied to simulate variety of tasks including formulating policy packages (Taeihagh, Alcántara, & Givoni, 2014), policy making (Mendritzki, 2010), policy design (Goulder, Hafstead, & Dworsky, 2010; Liu, He, Zhang, & Bi, 2012), decision-making in a real social network (Recio-García, Quijano, & Díaz-Agudo, 2013), and evaluating the efficiency of divestiture policy in electricity market (Rahimiyan & Mashhadi, 2010).…”

Size-dependent changes in toxicity of Perna viridis mussels exposed to natural populations of Pyrodinium bahamense var. compressum

“…al., 2013), Yñiguez et al(Yñiguez, et al, 2012), and Montojo et al(Montojo, et al, 2012). Maximum Pbc cell density was measured at 4280 cells/L during the fifth week of the observation period, quickly dropping to 30 cells/L on the sixth week and rising again to hundred levels (200-800 cells/L) during the next three weeks before dropping off to <100 cells/L level for the next 12 weeks(Figure 2).…”