Dispersal Kernels may be Scalable: Implications from a Plant Pathogen.

摘要: Aim Understanding how spatial scale of study affects observed dispersal patterns can provide insights into spatiotemporal population dynamics, particularly in systems with significant long-distance (LDD). We aimed to investigate the gradients two rusts wheat spores similar size, mass, and shape, over multiple scales. hypothesized that a single kernel could fit from all scales well, it would be possible obtain results increase disease when modeling based on differing Location Central Oregon St. Croix Island. Taxa Puccinia striiformis f. sp. tritici, graminis Triticum aestivum. Methods compared empirically-derived primary cereal rust across three scales: local (inoculum source sampling unit = 0.0254 m, extent 1.52m) field-wide 1.52 0.305 91.44 m), regional 152 10.7 km). then examined whether spread spatially explicit simulations depended upon at which data were collected by constructing compartmental time-step model. Results The sets well inverse-power law kernel. Simulating epidemic different resolutions resulted spread. Dispersal obtained one used represent larger scale. Main Conclusions Organisms aerially dispersed small propagules exhibit LDD may follow several hundred- or thousand-fold expanse Given mechanisms driving aerial remain constant, extrapolate empirical are unavailable interest.