Modeling the relationships between patterns of movement of Panthera tigris and its behavioral states

Movement Pattern Analysis 2010.

工业技术;计算机科学

Sean C. Ahearn ; J. L. David Smith ; Achara Simchareon ; Saksit Simchareon ; Jake Garcia

Others  :  http://ceur-ws.org/Vol-652/MPA10-11.pdf
PID  :  41578

来源: CEUR

【 摘 要 】

The availability of high-resolution spatial and temparal information from GPS collars on animals provides us with a new source of spatio-temporal data and enables us to better understand the relationship between an animal's behavioral state (e.g. hunting, mating, home range protection) and its patterns of movement at different spatial temporal scales (Ahearn and Smith, 2005). There have been a number of studies that have used GPS to examine the pattern of habitat use (Merrill 2000, Blake et al. 2001) and a limited number that have used it to quantify the nature of movement and its relationship to behavioral states (Brillinger et al. 2004, Frank, Caelli, and Hudson 2004, Franke et al. 2006; Jonsen et al. 2003). A key question with respect to these models is: how well do they capture the complexity of the movement and behavior of individuals as they relate to the environment in which they move, the other individuals with whom they interact and their own geographic strategies for resource usage (Ahearn and Smith, 2005). For the discussion, we will concern ourselves with the Hidden Markov Model (HMM), as this type of model has the interesting properties of imputing behavior and movement characteristics from a spatio-temporal signal.We will also examine ten spatio-temporal tiger data sets that represent a range of behavioral states and environmental conditions (e.g. females with different aged cubs, dispersing females, and male movement in relation to territorial boundaries) in the context of what constitutes a benchmark data set. [First Paragraph]