Invasion rate of deer ked depends on spatiotemporal variation in host density

• Published in: Bulletin of Entomological Research
• Main Authors: Meier, Chrisoph, Bonte, Dries, Kaitala, A, Ovaskainen, O
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2014
• Subjects: Earth and Environmental Sciences; insect; diffusion-reaction model; spatiotemporal spread rate; range expansion; MODEL; ECTOPARASITE; MOOSE ALCES-ALCES; LIPOPTENA-CERVI; HETEROGENEOUS LANDSCAPE; STREPTOPELIA-DECAOCTO; BIOLOGICAL INVASIONS; SPATIAL SPREAD; DISPERSAL; Alces alces
• Online Access: https://biblio.ugent.be/publication/5705486; http://hdl.handle.net/1854/LU-5705486; https://doi.org/10.1017/S0007485314000042; https://biblio.ugent.be/publication/5705486/file/5705580

Invasive parasites are of great global concern. Understanding the factors influencing the spread of invading pest species is a first step in developing effective countermeasures. Growing empirical evidence suggests that spread rates are essentially influenced by spatiotemporal dynamics of host-parasite interactions, yet approaches modelling spread rate have typically assumed static environmental conditions. We analysed invasion history of the deer ked (Lipoptena cervi) in Finland with a diffusion-reaction model, which assumed either the movement rate, the population growth rate, or both rates may depend on spatial and temporal distribution of moose (Alces alces), the main host of deer ked. We fitted the model to the data in a Bayesian framework, and used the Bayesian information criterion to show that accounting for the variation in local moose density improved the model's ability to describe the pattern of the invasion. The highest ranked model predicted higher movement rate and growth rate of deer ked with increasing moose density. Our results suggest that the historic increase in host density has facilitated the spread of the deer ked. Our approach illustrates how information about the ecology of an invasive species can be extracted from the spatial pattern of spread even with rather limited data.