Dynamic State Variable Models in Ecology: Methods and Applications

By A. Batabyal, C. Clark, Marc Mangel. 2001

403 citations recorded by the source corpus.

Subfields: Ecology

View Paper: https://www.semanticscholar.org/paper/dc11d5aca8e1ae8b80af117b5eca2e734408dc13

How researchers see this paper

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

In Ecology

Citations in the corpus

Time allocation strategies in insect parasitoids: from ultimate predictions to proximate behavioral mechanisms (2006, background): “On the contrary to the static MVT, their aim is to find optimal behavioral strategies, taking into account the state of the foraging females (McNamara and Houston 1986; Houston et al. 1988; Clark and Mangel 2000).”
Drift, growth, and survival of larval Northeast Arctic cod with simple rules of behaviour (2007, background): “…Perry 1990, Giske et al. 2003), and (2) that the internal physiological condition of an individual typically feeds back on behavioural motivation, hunger and satiation may for example trigger different behaviours under similar environmental conditions (Houston & McNamara 1999, Clark & Mangel 2000).”
Linking behavioural ecology and oceanography: larval behaviour determines growth, mortality and dispersal (2007, background): “The broadest distinction is between optimization models (e. g. Houston & McNamara 96 1999, Clark & Mangel 2000), which find the optimal solution to a given problem, and search heuristics that use different types of search algorithms to find good and robust solutions but not necessarily the optimal…”
Optimal patch time allocation for time-limited foragers (2006, methodology): “Most stochastic dynamic programming models devel oped to determine optimal behavioural reproductive strat egies are used to find stationary solutions (Clark and Mangel 2000) so that optimal strategies, far from the time horizon, become independent of both the time t and final conditions (e.”
Optimal individual positions within animal groups (2008, methodology): “Stochastic dynamic modeling provides useful methodology for combining currencies that can bemeasured in natural systems (Krebs and Kacelnik 1991; Clark and Mangel 2000; Krause and Ruxton 2002), and this approach could be applied to the positioning behavior of individuals within groups (Krause and…”
State dependent behavior and the Marginal Value Theorem (2001, background): “Therefore, the optimal behavior for any given set of states and options does not change from one time step to the next (Clark and Mangel, 2000; Mangel and Clark, 1988).”
Exploring the Isotopic Niche: Isotopic Variance, Physiological Incorporation, and the Temporal Dynamics of Foraging (2015, background): “An alternative approach could incorporate preferences [49] or even state-dependence [50, 51, 52], and we will briefly address these considerations in the Discussion.”