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Local effects of a global problem: modelling the risk of parasite-induced mortality in an intertidal trematode–amphipod system

Overview of attention for article published in Oecologia, January 2013
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Title
Local effects of a global problem: modelling the risk of parasite-induced mortality in an intertidal trematode–amphipod system
Published in
Oecologia, January 2013
DOI 10.1007/s00442-012-2569-4
Pubmed ID
Authors

A. Studer, R. Poulin, D. M. Tompkins

Abstract

The interactive effects of climate change and parasitism are of concern because of potentially important consequences for host populations, communities and entire ecosystems. In marine environments, the absence of historic baseline data on parasitism and disease limits our ability to make realistic predictions about these consequences. Here, we adapt a simulation model developed for a Northern Hemisphere intertidal host-parasite system to a comparable system in the Southern Hemisphere. The entire life cycle of the intertidal trematode parasite Maritrema novaezealandensis was modelled in order to investigate the interactive effects of parasitic infections and increasing temperatures on the population dynamics of the amphipod host Paracalliope novizealandiae. Despite uncertainties associated with the model and its parameterisation, most temperature increases that were predicted to cause the collapse of the modelled amphipod population in the long term lay within the range of predicted warming for the study area. The high vulnerability of the amphipods in the modelled system illustrates a potentially important ecological mechanism by which consequences of a global problem might manifest on the local scale.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
Germany 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Researcher 8 16%
Student > Master 4 8%
Student > Bachelor 2 4%
Student > Doctoral Student 2 4%
Other 1 2%
Unknown 17 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 39%
Environmental Science 4 8%
Medicine and Dentistry 2 4%
Mathematics 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 4%
Unknown 20 41%