Agent-Based Simulation of Muscovy Duck Movements Using Observed Habitat Transition and Distance Frequencies
Document Type
Article
Publication Date
2017
Keywords
Agent based model, Animal movement, Home range analysis, Muscovy duck
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.compenvurbsys.2016.09.002
Abstract
This paper presents an agent based model simulating animal tracking datasets for individual animals based on observed habitat use characteristics, movement behaviours and environmental context. The model is presented as an alternative simulation methodology for movement trajectories for animal agents, useful in home range, habitat use and animal interaction studies. The model was implemented in NetLogo 5.1.0 using observed behavioural data for the Muscovy duck, obtained in a previous study. Four test scenarios were completed to evaluate the fidelity of model results to behavioural patterns observed in the field. Results suggest the model framework illustrated in this paper provides an effective alternative to traditional animal movement simulation methods such as correlated random walks.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Computers, Environment and Urban Systems, v. 61, Part A, p. 49-55
Scholar Commons Citation
Anderson, James A.; Downs, Joni A.; Loraamm, Rebecca W.; and Reader, Steven, "Agent-Based Simulation of Muscovy Duck Movements Using Observed Habitat Transition and Distance Frequencies" (2017). School of Geosciences Faculty and Staff Publications. 1456.
https://digitalcommons.usf.edu/geo_facpub/1456
