ANIMAL SEARCH STRATEGIES: A QUANTITATIVE RANDOM‐WALK ANALYSIS

By Frederic Bartumeus, M. Luz, G. Viswanathan, J. Catalán. 2005

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Patch density determines movement patterns and foraging efficiency of large herbivores (2007, background): “…in order to increase the efficiency of foraging, increase the tortuosity of their movement paths and decrease the speed of movement when resource density increases (e.g., Kareiva and Odell 1987; Bell 1991; Turchin 1991, 1998; Focardi et al. 1996; Viswanathan et al. 1999; Bartumeus et al. 2005).”
The evolution of an ‘intelligent’ dispersal strategy: biased, correlated random walks in patchy landscapes (2009, background): “Zollner and Lima (1999) considered how the relative efficiency of random walks depended upon the degree of autocorrelation while Bartumeus (2005) compared the performance of correlated random walks with Levy walks.”
Understanding movements of organisms: it's time to abandon the Lévy foraging hypothesis (2015, background): “Similar predictions arise when movement is assumed to vary intermittently between a correlated random walk and a L evy walk (Bartumeus et al. 2005; Bartumeus&Levin 2008).”
A Comprehensive Review of Coverage Path Planning in Robotics Using Classical and Heuristic Algorithms (2021, background): “Random walk (RW) is a stochastic process that describes the animal search pattern or movement in the attempt to scan and explore the unexplored area [37].”