|Appears in Collections:||Biological and Environmental Sciences Journal Articles|
|Peer Review Status:||Refereed|
|Title:||History and complexity in tick-host dynamics: discrepancies between 'real' and 'visible' tick populations|
|Publisher:||BioMed Central Ltd|
|Citation:||Dobson A (2014) History and complexity in tick-host dynamics: discrepancies between 'real' and 'visible' tick populations, Parasites and Vectors, 7, Art. No.: 231.|
|Abstract:||Background: Numerical responses of ticks to changes in densities of their hosts can be complex and apparently unpredictable. Manipulations even of deterministic models can produce counter-intuitive results, including tick populations that either rise or fall under increasing host densities, depending on initial conditions. Methods: In this paper I use an established simulation model to demonstrate a wide range of numerical responses to different scenarios of host changes, and to examine the basic mechanisms that drive them. Results: The rate and direction of change of host densities affects the extent to which questing tick numbers reflect those of their hosts. Numerical responses differ profoundly between dynamic tick-host systems and those allowed to reach equilibrium. Conclusions: The key to understanding tick-host dynamics is to understand the difference between ‘real' and ‘visible' tick populations. An appreciation of the implications of this difference - and of the conditions that influence it - will benefit the effective interpretation of field data.|
|Rights:||© 2014 Dobson; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.|
|Affiliation:||Biological and Environmental Sciences|
|Dobson 2014 - history and complexity.pdf||580.28 kB||Adobe PDF||View/Open|
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