A mechanistic approach to animal dispersal - quantifying energetics and
maximum distances
Abstract
Dispersal is a fundamental process driving many ecological patterns.
During transfer, species often make large-scale displacements resulting
in significant energetic losses with implications for fitness and
survival, however generalising these losses across different taxonomic
groups is challenging. We developed a bioenergetic dispersal model based
on fundamental processes derived from species traits. By balancing
energy storage and energy loss during active dispersal, our mechanistic
model can quantify energetic expenditures depending on landscape
configuration and the species in focus. Moreover, it can be used to
predict the maximum dispersal capacity of animals, which we compare with
recorded maximum dispersal distances (n = 1571). Due to its foundation
in bioenergetics it can easily be integrated into various ecological
models, such as food-web and meta-community models. Furthermore, as
dispersal is integral to ecological research, the quantification of
dispersal capacities provides valuable insight into landscape
connectivity, species persistence, and distribution patterns with
implications for conservation research.