Ranging behaviour is a fundamental characteristic of wild animal
movement. Recent studies have shown that movement propensity can easily
vary between migrant and resident tactics in various herbivorous
mammals. Understanding the flexibility of ranging behaviour as an
adjustment to changing environmental conditions under natural and
anthropogenic processes provides deep insights into the ecology,
management, and conservation of herbivores. Animal movement based on
locations can be described in the form of a matrix of time and days,
representing the continuous and discrete variables of ranging behaviour
time scales. The matrix yields two independent structural
characteristics of animal location distributions: the day range and the
time-of-day range. These ranges are multi-dimensional variables that
enable the quantification of the extent of spatiotemporal location
variation by eliminating the influence of the absolute value of the
range size. Sika deer (Cervus nippon) is a cervid species that exhibits
diverse and flexible ranging behaviour. The present study aimed to apply
new indices to a GPS dataset of the movements of 46 individuals to
conduct a structural analysis of ranging behaviour. Learning and memory
play important roles in movement and habitat selection. We analysed the
visiting frequency and interval to clarify whether sedentary Sika deer
utilise their ranges monotonously. The ratio of the time-of-day range to
the day range only succeeded at detecting the structural modifications
of range shifting, while the largest distance among time-series pairs of
GPS locations and the maximum size of the day range did not correspond
identically to the range-shift period. An analysis of revisits
illuminated behavioural similarity between sedentary and range-shifting
individuals in terms of their qualitative experience with local
travelling. The findings of the present study suggest a species-specific
characteristic of bipolarized space-use tactics, potentially leading to
high behavioural flexibility in the Sika deer on Kyushu Island.