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

Daniel H FarberPatrick De LeenheerChristopher C Mundt
Published in: Journal of biogeography (2019)
Organisms spread by aerially dispersed small propagules that exhibit LDD may follow similar dispersal patterns over a several hundred- or thousand-fold expanse of spatial scale. Given that the primary mechanisms driving aerial dispersal remain constant, it may be possible to extrapolate across scales when empirical data are unavailable at a scale of interest.
Keyphrases
  • electronic health record
  • big data
  • gram negative
  • data analysis
  • deep learning