95th ESA Annual Meeting (August 1 -- 6, 2010)

COS 8-5 - Modelling the growth of parasitic plants modelling the growth of parasitic plants

Monday, August 2, 2010: 2:50 PM
408, David L Lawrence Convention Center
Yann Hautier, Department of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN, Andrew Hector, Institute of Evolutionary Biology and Environmental Studies, University of Zürich, Zürich, Switzerland, Eva Vojtech, Institute of Evolutionary Biology and Enviromental Studies, University of Zurich, Zurich, Switzerland, Drew Purves, Computational Ecology and Environmental Science Group, Microsoft Reserach, Cambridge, Cambridge, United Kingdom and Lindsay A. Turnbull, Institute of Evolutionary Biology and Enviromental Studies, University of Zürich, Zürich, Switzerland
Background/Question/Methods

Hemiparasitic plants, such as Rhinanthus species, have substantial effects on community composition and biomass. For example, the presence of parasites often increases diversity but reduces the combined biomass of hosts and parasites by roughly 25% compared with unparasitised controls. We present and test a simple model of the host-parasite interaction in which parasite growth rate is a function of host growth rate that offers a new explanation for why hemiparasitic plants reduce ecosystem productivity.

The model predicts that the combined mass of the host-parasite system is always less than the mass of the host grown alone because the combined biomass is dependent only on host growth rate, which is reduced by the parasite. The model also predicts that the parasite should adopt an intermediate virulence to maximise its own performance, but that the optimum virulence depends on host growth characteristics.

The key assumption of the model is that parasite growth rate and hence parasite biomass is tightly coupled to host growth rate. We tested this assumption by measuring the performance of Rhinanthus alectorolophus, a widespread hemiparasitic annual plant, on nine common European grass species. First, we determined size-corrected growth rates for the grasses by fitting power-law growth curves to multiple-harvest data on host individuals grown without Rhinanthus. Second, we grew Rhinanthus on each of the grass species and related Rhinanthus final biomass to the grass species’ growth rates.

Results/Conclusions

Rhinanthus performance was strongly correlated with the growth rate of the host grass species, thus validating a key assumption of our model. However, Rhinanthus biomass on three of the nine grass species differed significantly from the value predicted based on host growth rate alone, suggesting that grass species differ in their resistance to parasitism.

Parameterising such models of the host-parasite relationship could help to explain variation in Rhinanthus performance on different hosts; variation in the effects of hemiparasites in grasslands of different productivity; and differences in virulence among parasite populations.