Literature DB >> 24077925

Spatial scaling relationships for spread of disease caused by a wind-dispersed plant pathogen.

Christopher C Mundt1, Kathryn E Sackett.   

Abstract

Spatial scale is of great importance to understanding the spread of organisms exhibiting long-distance dispersal (LDD). We tested whether epidemics spread in direct proportion to the size of the host population and size of the initial disease focus. This was done through analysis of a previous study of the effects of landscape heterogeneity variables on the spread of accelerating epidemics of wheat (Triticum aestivum) stripe rust, caused by the fungus Puccinia striiformis f. sp. tritici. End-of-season disease gradients were constructed by estimating disease prevalence at regular distances from artificially inoculated foci of different sizes, in field plots of different dimensions. In one set of comparisons, all linear dimensions (plot width and length, focus width and length, and distance between observation points) differed by a factor of four. Disease spread was substantially greater in large plot/large focus treatments than in small plot/small focus treatments. However, when disease gradients were plotted using focus width as the unit distance, they were found to be highly similar, suggesting a proportional relationship between focus or plot size and disease spread. A similar relationship held when comparing same-size plots inoculated with different-sized foci, an indication that focus size is the driver of this proportionality. Our results suggest that power law dispersal of LDD organisms results in scale-invariant relationships, which are useful for better understanding spatial spread of biological invasions, extrapolating results from small-scale experiments to invasions spreading over larger scales, and predicting speed and pattern of spread as an invasion expands.

Entities:  

Keywords:  Puccinia striiformis f. sp. tritici; Triticum aestivum; epidemiology; invasions; long-distance dispersal (LDD); power law; scaling

Year:  2012        PMID: 24077925      PMCID: PMC3785091          DOI: 10.1890/ES11-00281.1

Source DB:  PubMed          Journal:  Ecosphere            Impact factor:   3.171


  31 in total

1.  Spatial scaling laws yield a synthetic theory of biodiversity.

Authors:  M E Ritchie; H Olff
Journal:  Nature       Date:  1999-08-05       Impact factor: 49.962

Review 2.  Scale invariance in biology: coincidence or footprint of a universal mechanism?

Authors:  T Gisiger
Journal:  Biol Rev Camb Philos Soc       Date:  2001-05

3.  Migratory birds modeled as critical transport agents for West Nile Virus in North America.

Authors:  A Townsend Peterson; David A Vieglais; James K Andreasen
Journal:  Vector Borne Zoonotic Dis       Date:  2003       Impact factor: 2.133

4.  Assembling spatially explicit landscape models of pollen and spore dispersal by wind for risk assessment.

Authors:  M W Shaw; T D Harwood; M J Wilkinson; L Elliott
Journal:  Proc Biol Sci       Date:  2006-07-07       Impact factor: 5.349

Review 5.  Effects of species diversity on disease risk.

Authors:  F Keesing; R D Holt; R S Ostfeld
Journal:  Ecol Lett       Date:  2006-04       Impact factor: 9.492

6.  The scaling laws of human travel.

Authors:  D Brockmann; L Hufnagel; T Geisel
Journal:  Nature       Date:  2006-01-26       Impact factor: 49.962

7.  Invasion by extremes: population spread with variation in dispersal and reproduction.

Authors:  J S Clark; M Lewis; L Horvath
Journal:  Am Nat       Date:  2001-05       Impact factor: 3.926

8.  Autoinfection in wheat leaf rust epidemics.

Authors:  Christian Lannou; Samuel Soubeyrand; Lise Frezal; Joël Chadœuf
Journal:  New Phytol       Date:  2008-01-07       Impact factor: 10.151

9.  Applying network theory to epidemics: control measures for Mycoplasma pneumoniae outbreaks.

Authors:  Lauren Ancel Meyers; M E J Newman; Michael Martin; Stephanie Schrag
Journal:  Emerg Infect Dis       Date:  2003-02       Impact factor: 6.883

Review 10.  Global transport networks and infectious disease spread.

Authors:  A J Tatem; D J Rogers; S I Hay
Journal:  Adv Parasitol       Date:  2006       Impact factor: 3.870

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  6 in total

1.  Local dispersal of Puccinia striiformis f. sp. tritici from isolated source lesions.

Authors:  D H Farber; J Medlock; C C Mundt
Journal:  Plant Pathol       Date:  2016-06-06       Impact factor: 2.590

2.  Initial epidemic area is strongly associated with the yearly extent of soybean rust spread in North America.

Authors:  Christopher C Mundt; Larae D Wallace; Tom W Allen; Clayton A Hollier; Robert C Kemerait; Edward J Sikora
Journal:  Biol Invasions       Date:  2013-07-01       Impact factor: 3.133

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

Authors:  Daniel H Farber; Patrick De Leenheer; Christopher C Mundt
Journal:  J Biogeogr       Date:  2019-07-02       Impact factor: 4.324

4.  Degree of host susceptibility in the initial disease outbreak influences subsequent epidemic spread.

Authors:  Paul M Severns; Laura K Estep; Kathryn E Sackett; Christopher C Mundt
Journal:  J Appl Ecol       Date:  2014-12-01       Impact factor: 6.865

5.  Delays in Epidemic Outbreak Control Cost Disproportionately Large Treatment Footprints to Offset.

Authors:  Paul M Severns; Christopher C Mundt
Journal:  Pathogens       Date:  2022-03-24

6.  Focus expansion and stability of the spread parameter estimate of the power law model for dispersal gradients.

Authors:  Peter S Ojiambo; David H Gent; Lucky K Mehra; David Christie; Roger Magarey
Journal:  PeerJ       Date:  2017-06-20       Impact factor: 3.061

  6 in total

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