Dynamic Modeling in Behavioral Ecology

By J. Bonner, Marc Mangel, C. W. Clark. 2019

498 citations recorded by the source corpus.

Subfields: Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/f4f54e0da25438775c24d609c2c8557e0c49547a

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In Public Health, Environmental and Occupational Health

Citations in the corpus

The Origin of Behavior (2011, unknown): “…of fitness via dynamic programming has been shown to yield several observed behaviors, including risk-sensitive foraging in mammals (Real and Caraco, 1986; Stephens and Krebs, 1986; Mangel and Clark, 1988) and seed dispersal strategies in plants (Levin et al., 1984; Levin et al., 2003).”
Reconciling Efficient Markets with Behavioral Finance: The Adaptive Markets Hypothesis (2005, background): “In fact, the ideas underlying the AMH have been inspired by several literatures: bounded rationality in economics (Simon, 1982, is the classic reference, of course); complex systems (Farmer, 2002); evolutionary biology (Wilson, 1975, in particular); evolutionary psychology (Pinker, 1997, provides a ”
A spatially explicit model of sapling growth in a tropical forest: does the identity of neighbours matter? (2004, background): “Our likelihood function assumes that the residuals, i.e. the difference between observed and predicted growth, approximate a normal distribution (Mangel & Clark 1997).”
The evolution of alternative strategies and tactics (2001, methodology): “the dynamic modeling approach (Mangel and Clark, 1988; Houston and McNamara, 1999; Clark and Mangel, 2000), we have the tools to put together realistic models that allow us to make specific predictions.”
Models of pace-of-life syndromes (POLS): a systematic review (2018, background): “Both use stochastic dynamic programming (Mangel and Clark 1988; Houston and McNamara 1999) to model risk-taking (specifically, a trait that increases resource acquisition at the expense of increased probability of mortality) as a function of residual reproductive value (RRV), where RRV represents…”
Artificial Life (2019, methodology): “However, recent experiments have shown that brittleness can be overcome by addressing the principal causes and without fundamentally changing the structure of machine languages [70,77].”
Predator‐induced life history changes in amphibians: egg predation induces hatching (2001, background): “…to the timing of hatching (e.g. Sih and Moore 1993, Warkentin 1995), metamorphosis (e.g. Werner 1986, Skelly and Werner 1990, Rowe and Ludwig 1991, Skelly 1992, DeVito et al. 1998) and reproduction (e.g. Mangel and Clark 1988, Crowl and Covich 1990, Reznick et al. 1990, Ball and Baker 1996).”
Determinants of reproductive costs in the long-lived Black-legged Kittiwake: A multiyear experiment (2004, background): “More generally, they confirm the importance of state-dependent processes (Caraco et al. 1980, Mangle and Clark 1988, McNamara and Houston 1992) in the evolution of life history strategies for long-lived species.”
Decision theory, reinforcement learning, and the brain (2008, background): “…(eg Bellman, 1957; Puterman, 2005; Berger, 1985; Bertsekas and Tsitsiklis, 1996; Bertsekas, 2007; Sutton and Barto, 1998; Green and Swets, 1966; Mangel and Clark, 1989; Montague, 2006; Gold and Shadlen, 2002, 2007; Glimcher, 2004; Körding, 2007; Gittins, 1989; Berry and Fristedt, 1985; Wald,…”
Mate choice in the face of costly competition (2003, methodology): “Our model took the form of a dynamic game (Clark and Mangel, 2000; Houston and McNamara, 1999; Mangel and Clark, 1988), in which the consequences of an individual’s actions depend critically on the behavior of others.”
Trade-offs between growth and mortality and the maintenance of individual variation in growth (2001, background): “However, the peak of the fitness curve is relatively flat (Fig. 1b), suggesting that a variety of different growth parameters produce virtually the same fitness (see also Mangel and Clark, 1988, p. 285 ).”
Exploring the Isotopic Niche: Isotopic Variance, Physiological Incorporation, and the Temporal Dynamics of Foraging (2015, background): “An alternative approach could incorporate preferences (Chesson, 1983) or even state-dependence (Mangel and Clark, 1988; Clark and Mangel, 2000; Mangel, 2014), and we will briefly address these considerations in the Discussion.”
Techniques of spatially explicit individual-based models: construction, simulation, and mean-field analysis (2002, methodology): “First, events are said to occur at a rate a if the occurrence times are described by a Poisson process with the parameter a ; see, for example, Mangel and Clark (1988) for details.”