Foraging theory upscaled: the behavioural ecology of herbivore movement

• Published in: Philosophical transactions of the Royal Society of London. Series B. Biological sciences 2010-07, Vol.365 (1550), p.2267-2278
• Main Authors: Owen-Smith, N., Fryxell, J. M., Merrill, E. H.
• Format: Article
• Language: English
• Subjects: Animal feeding behavior; Animal Migration; Animals; Animals, Wild; Behavior, Animal; Ecological modeling; Ecosystem; Elks; Feeding Behavior; Food; Food movements; Foraging; Foraging Areas; Geographic Information Systems; GPS telemetry; Habitat Units; Herbivores; Movement Ecology; Population ecology; Review; Seasonal Ranges; Ungulates
• ISSN: 0962-8436; 1471-2970
• DOI: 10.1098/rstb.2010.0095

We outline how principles of optimal foraging developed for diet and food patch selection might be applied to movement behaviour expressed over larger spatial and temporal scales. Our focus is on large mammalian herbivores, capable of carrying global positioning system (GPS) collars operating through the seasonal cycle and dependent on vegetation resources that are fixed in space but seasonally variable in availability and nutritional value. The concept of intermittent movement leads to the recognition of distinct movement modes over a hierarchy of spatio-temporal scales. Over larger scales, periods with relatively low displacement may indicate settlement within foraging areas, habitat units or seasonal ranges. Directed movements connect these patches or places used for other activities. Selection is expressed by switches in movement mode and the intensity of utilization by the settlement period relative to the area covered. The type of benefit obtained during settlement periods may be inferred from movement patterns, local environmental features, or the diel activity schedule. Rates of movement indicate changing costs in time and energy over the seasonal cycle, between years and among regions. GPS telemetry potentially enables large-scale movement responses to changing environmental conditions to be linked to population performance.