Spatial memory and animal movement.

By William F. Fagan, Mark A. Lewis, M. Auger‐Méthé, Tal Avgar, S. Benhamou, Greg A. Breed, Lara D. LaDage, U. Schlägel, Wen-wu Tang, Y. Papastamatiou and 2 more. Ecology Letters, 2013

600 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Social Psychology

View Paper: https://www.semanticscholar.org/paper/24376d121cc4431166575f1c15c68ec7fbfde1a6

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Citations in the corpus

Towards understanding wild boar Sus scrofa movement: a synthetic movement ecology approach (2014, methodology): “Disentangling cues used: memory, landmarks Translocation, environmental change, ontogenic tracking Movement patterns analysis, long-term tracking data Fagan et al. (2013)”
Aquatic animal telemetry: A panoramic window into the underwater world (2015, background): “These approaches will enable the first investigations of the role of memory and cognition in animalmovement and navigation in aquatic ecosystems (48).”
Terrestrial animal tracking as an eye on life and planet (2015, methodology): “Further development of these methods to integrate over multiple time scales would allow the evaluation of the importance of animal memory in movement decisions (30, 31) and set the stage for major breakthroughs in our understanding of the connections between animal cognition and ecology.”
What makes fish vulnerable to capture by hooks? A conceptual framework and a review of key determinants (2017, background): “For example, a RW can delineate home ranges of fish (e.g., Alós et al., 2016; Palmer, Balle, March, Alós, & Linde, 2011; Pedersen & Weng, 2013) because fish frequently move predictably within a discrete home range area (Fagan et al., 2013; Kie et al., 2010).”
Diffusive spatial movement with memory and maturation delays (2019, unknown): “A recent review paper [8] emphasized the significance of integrating spatial memory into the modeling of animal movements, and the memory-based diffusion is extremely complicated and poorly understood.”
Predicting the impacts of anthropogenic disturbances on marine populations (2018, methodology): “Animal movements are modeled using a combination of correlated random walk and spatial memory (Codling, Plank, & Benhamou, 2008; Fagan et al., 2013; Smouse et al., 2010), where the spatial memory enables animals to return to patches where they previously found food.”
Using the movement patterns of reintroduced animals to improve reintroduction success (2014, background): “In contrast, when the landscape is familiar, an animal can move within its home range deliberately using its spatial memory thereby responding to the environment on a much larger scale (Fagan et al., 2013).”