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Data from: Trait-based variation in host contribution to pathogen transmission across species and resource supplies

Citation

Welsh, Miranda; Cronin, James; Mitchell, Charles (2020), Data from: Trait-based variation in host contribution to pathogen transmission across species and resource supplies, Dryad, Dataset, https://doi.org/10.5061/dryad.vmcvdncqn

Abstract

Two key knowledge gaps currently limit the development of more predictive and general models of pathogen transmission: (1) the physiological basis of heterogeneity in host contribution to pathogen transmission (reservoir potential) remains poorly understood, and (2) a general means of integrating the ecological dynamics of host communities has yet to emerge. If the traits responsible for differences in reservoir potential also modulate host community dynamics, these traits could be used to predict pathogen transmission as host communities change. In two greenhouse experiments, across 23 host species and two levels of resource supply, the reservoir potential of plant hosts increased significantly along the Leaf Economic Spectrum, a global axis of plant physiological trait covariation that features prominently in models of plant community ecology. This indicates that the traits of the Leaf Economic Spectrum underlie broad differences in reservoir potential across host species and resource supplies. Therefore, host traits could be used to integrate epidemiological models of pathogen transmission with ecological models of host community change.

Methods

See associated manuscript for detials.

Usage Notes

Missing values are explined in the associated manuscript. See Appendix S5 of the associated manuscript for sample sizes. Column headings are explained in the second sheet of the data set ("notes").

Funding

National Science Foundation, Award: DEB-0923671

NSF/NIH joint program in the Ecology and Evolution of Infectious Diseases , Award: DEB-1015909

NSF/NIH joint program in the Ecology and Evolution of Infectious Diseases, Award: DEB-1015909

U.S. Geological Survey, Award: Ecosystems program