Functional connectivity in ruminants: A generalized state-dependent modelling approach

摘要: Animal behaviour is increasingly seen as an important component in maintaining functional connectivity between patches fragmented landscapes. However, models that explicitly incorporate behavioural trade-offs are rarely applied to landscape planning problems like connectivity. The aim of this study was explore how state-dependent influenced from a theoretical perspective. We investigated inter-patch distances using dynamic state variable model framework. decision making process individual ruminant facing fitness staying its patch origin or moving another at various were modelled. incorporated energetic costs and predation feeding, ruminating, resting while the for transit based on distance. Functional maintained with isolated when they offered high intake inactivity rumination associated rapid gut fill resulted reduced risk. Nevertheless, individuals often would forgo patch, whereas poor states forced accept cost movement best meet their requirements distant patch. inclusion provides insights into landscapes helps integrate animal planning. discuss consequences our findings show approach heuristic tool assess alternative scenarios restoring