Pest and Disease Management: Why We Shouldn't Go against the Grain

PLoS ONE

Volumn 8, Issue 9, 2013, Pages

  Skelsey, Peter ^a   With, Kimberly A ^b   Garrett, Karen A ^b  

^a SCOTTISH CROP RESEARCH INSTITUTE   (United Kingdom)

^b KANSAS STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL DISPERSAL; ARTICLE; BEETLE; CONIFER; CULEX; CULEX ERRATICUS; DENDROCTONUS PONDEROSAE; GRAIN; HABITAT PATCHINESS; HOST RANGE; LANDSCAPE ECOLOGY; NONHUMAN; PEST MANAGEMENT; PHYTOPHTHORA INFESTANS; POPULATION ABUNDANCE; POPULATION DENSITY; PREDICTION; PSEUDOMONAS SYRINGAE;

ANIMAL DISTRIBUTION; ANIMALS; BEETLES; COMMUNICABLE DISEASES; CULEX; DISEASE MANAGEMENT; DISEASE VECTORS; HOST-PATHOGEN INTERACTIONS; MODELS, THEORETICAL; PEST CONTROL; PHYTOPHTHORA INFESTANS; PLANT DISEASES; PSEUDOMONAS SYRINGAE;

EID: 84884803045     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0075892     Document Type: Article

References (81)

1. Ostfeld RS, Glass GE, Keesing F, (2005) Spatial epidemiology: an emerging (or re-emerging) discipline. Trends in Ecology & Evolution 20: 328-336.
2. With KA, (2002) The landscape ecology of invasive spread. Conservation Biology 16: 1192-1203.
3. With KA, (2004) Assessing the risk of invasive spread in fragmented landscapes. Risk Analysis 24: 803-815.
4. Skelsey P, With KA, Garrett KA, (2013) Why dispersal should be maximized at intermediate scales of heterogeneity. Theoretical Ecology 6: 203-211.
5. Winder RS, Macey DE, Cortese J, (2010) Dominant bacteria associated with broods of mountain pine beetle, Dendroctonus ponderosae (Coleoptera: Curculionidae, Scolytinae). Journal of the Entomological Society of British Colombia 107: 43-56.
6. Mansfield J, Genin S, Magori S, Citovsky V, Sriariyanum M, et al. (2012) Top 10 plant pathogenic bacteria in molecular plant pathology. Molecular Plant Pathology 13: 614-629.
7. Centers for Disease Control and Prevention (2012) 2012 West Nile virus update: September 11. Available: http://www.cdc.gov/ncidod/dvbid/westnile/index.htm. Accessed 17 Sept 2012.
8. Birch PRJ, Whisson SC, (2001) Phytophthora infestans enters the genomics era. Molecular Plant Pathology 2: 257-263.
9. Evans HC, Waller JM, (2010) Globalisation and the threat to biosecurity. Role of Plant Pathology in Food Safety and Food Security pp. 53-71.
10. Lutaladio N, Castaidi L, (2009) Potato: the hidden treasure. Journal of Food Composition and Analysis 22: 491-493.
11. Chipperfield JD, Holland EP, Dytham C, Thomas CD, Hovestadt T, (2011) On the approximation of continuous dispersal kernels in discrete-space models. Methods in Ecology and Evolution 2: 668-681.
12. Slone DH, (2011) Increasing accuracy of dispersal kernels in grid-based population models. Ecological Modelling 222: 573-579.
13. May F, Giladi I, Ristow M, Ziv Y, Jeltsch F, (2013) Metacommunity, mainland-island system or island communities? Assessing the regional dynamics of plant communities in a fragmented landscape. Ecography 36: 842-853.
14. Skelsey P, Rossing WA, Kessel GJT, Powell J, van der Werf W, (2005) Influence of host diversity on development of epidemics: an evaluation and elaboration of mixture theory. Phytopathology 95: 328-338.
15. Skelsey P, Rossing WA, Kessel GJT, van der Werf W, (2010) Invasion of Phytophthora infestans at the landscape level: how do spatial scale and weather modulate the consequences of spatial heterogeneity in host resistance? Phytopathology 100: 1146-1161.
16. Bianchi FJJA, Schellhorn NA, van der Werf W, (2009) Predicting the time to colonization of the parasitoid Diadegma semiclausum: the importance of the shape of spatial dispersal kernels for biological control. Biological Control 50: 267-274.
17. Clark JS, (1998) Why trees migrate so fast: confronting theory with dispersal biology and the paleorecord. American Naturalist 152: 204-224.
18. Clark JS, Silman M, Kern R, Macklin E, HilleRisLambers J, (1999) Seed dispersal near and far: patterns across temperate and tropical forests. Ecology 80: 1475-1494.
19. Hastings A, Cuddington K, Davies KF, Dugaw CJ, Elmendorf S, et al. (2005) The spatial spread of invasions: new developments in theory and evidence. Ecology Letters 8: 91-101.
20. Mollison D, (1977) Spatial contact models for ecological and epidemic spread. Journal of the Royal Statistical Society B 39: 283-326.
21. Mundt CC, Sackett KE, Wallace LD, (2010) Landscape heterogeneity and disease spread: experimental approaches with a plant pathogen. Ecological Applications 21: 321-328.
22. Ferrandino FJ, (1993) Dispersive epidemic waves: I. Focus expansion within a linear planting. Phytopathology 83: 795-802.
23. Kot M, Lewis MA, van den Driessche P, (1996) Dispersal data and the spread of invading organisms. Ecology 77: 2027-2042.
24. Shaw MW, (1995) Simulation of population expansion and spatial pattern when individual dispersal distributions do not decline exponentially with distance. Proceedings of the Royal Society of London B 259: 243-248.
25. Clark JS, Lewis M, Horvath L, (2001) Invasion by extremes: population spread with variation in dispersal and reproduction. The American Naturalist 157: 537-554.
26. Graham JH, Duda JJ, (2011) The humpbacked species richness-curve: a contingent rule for community ecology. International Journal of Ecology pp. 1-15.
27. Madden LV, Hughes G, van den Bosch F (2007) The study of plant disease epidemics. St. Paul, Minnesota U.S.A.: The American Phytopathological Society. 421 p.
28. Dale VH, Joyce LA, McNulty S, Neilson RP, Ayres MP, et al. (2001) Climate change and forest disturbances. Bioscience 51: 723-734.
29. Heavilin J, Powell J, (2008) A novel method of fitting spatio-temporal models to data, with applications to the dynamics of mountain pine beetles. Natural Resource Modeling 21: 489-524.
30. Chen H, Walton A, (2011) Mountain pine beetle dispersal: spatiotemporal patterns and role in the spread and expansion of the present outbreak. Ecosphere 2: art66.
31. Fahse L, Heurich M, (2011) Simulation and analysis of outbreaks of bark beetle infestations and their management at the stand level. Ecological Modelling 222: 1833-1846.
32. Allen JC, Brewster CC, Slone DH, (2001) Spatially explicit ecological models: a spatial convolution approach. Chaos, Solitons and Fractals 12: 333-347.
33. Brewster C, Allen J, (1997) Spatiotemporal model for studying insect dynamics in large-scale cropping systems. Environmental Entomology 26: 473-482.
34. Kot M, Schaffer WM, (1986) Discrete-time growth-dispersal models. Mathematical Biosciences 80: 109-136.
35. Andersen M, (1991) Properties of some density-dependent integrodifference equation population models. Mathematical Biosciences 104: 135-157.
36. Shenge KC, Mabagala RB, Mortensen CN, Stephan D, Wydra K, (2007) First report of bacterial speck of tomato caused by Pseudomonas syringae pv. tomato in Tanzania. Plant Disease 91: 462-462.
37. Green S, Studholme DJ, Laue BE, Dorati F, Lovell H, et al. (2010) Comparative genome analysis provides insights into the evolution and adaptation of Pseudomonas syringae pv. aesculi on Aesculus hippocastanum. Plos One 5: e10224.
38. Bock CH, Cook AZ, Parker PE, Gottwald TR, Graham JH, (2012) Short-distance dispersal of splashed bacteria of Xanthomonas citri subsp. citri from canker-infected grapefruit tree canopies in turbulent wind. Plant Pathology 61: 829-836.
39. Cevallos-Cevallos JM, Danyluk MD, Gu G, Vallad GE, van Bruggen AHC, (2012) Dispersal of Salmonella Typhimurium by rain splash onto tomato plants. Journal of Food Protection 75: 472-479.
40. Cevallos-Cevallos JM, Gu G, Danyluk MD, van Bruggen AHC, (2012) Adhesion and splash dispersal of Salmonella enterica Typhimurium on tomato leaflets: effects of rdar morphotype and trichome density. International Journal of Food Microbiology 160: 58-64.
41. Butterworth J, Mccartney HA, (1991) The dispersal of bacteria from leaf surfaces by water splash. Journal of Applied Bacteriology 71: 484-496.
42. Devroye L (1986) Non-uniform random variate generation. Berlin: Springer-Verlag. 843 p.
43. Press WH, Teukolsky SA, Vetterling WT, Flannery BP (1992) Numerical recipes in C: the art of scientific computing. Cambridge: Cambridge University Press. 998 p.
44. Jacob BG, Burkett-Cadena ND, Luvall JC, Parcak SH, McClure CJ, et al. (2010) Developing GIS-based eastern equine encephalitis vector-host models in Tuskegee, Alabama. International Journal of Health Geographics 9: 1-16.
45. Crans WJ, Schulze TL, (1986) Evidence incriminating Coquillettidia perturbans (Diptera: Culicidae) as an epizootic vector of eastern equine encephalitis. I. Isolation of EEE virus from C. perturbans during an epizootic among horses in New Jersey. Bulletin of the Society of Vector Ecologists 11: 178-184.
46. Faddoul GP, Fellows GW, (1965) Clinical manifestations of eastern equine encephalomyelitis in pheasants. Avian Diseases 9: 530-535.
47. Hayes RO, Beadle LD, Hess AD, Sussman O, Bonese MJ, (1962) Entomological aspects of the 1959 outbreak of eastern encephalitis in New Jersey. American Journal of Tropical Medicine and Hygiene 11: 115-121.
48. Letson GW, Bailey RE, Pearson J, Tsai TF, (1993) Eastern equine encephalitis (EEE): a description of the 1989 outbreak, recent epidemiologic trends, and the association of rainfall with EEE occurrence. American Journal of Tropical Medicine and Hygiene 49: 677-685.
49. Li L, Norrelykke SF, Cox EC, (2008) Persistent cell motion in the absence of external signals: a search strategy for eukaryotic cells. Plos One 3: e2093.
50. Viswanathan GM, Buldyrev SV, Havlin S, da Luz MGE, Raposo EP, et al. (1999) Optimizing the success of random searches. Nature 401: 911-914.
51. Reynolds A (2013) Beyond optimal searching: recent developments in the modelling of animal movement patterns as Lévy walks. In: Lewis MA, Maini PK, Petrovskii SV, editors. Dispersal, individual movement and spatial ecology. Berlin: Springer Berlin Heidelberg. pp. 53-76.
52. Gillies MT, Wilkes TJ, (1969) A comparison of the range of attraction of animal baits and of carbon dioxide for some West African mosquitoes. Bulletin of Entomological Research 59: 441-456.
53. Blöchl F (2007) Independent graph analysis: Diploma thesis, Universität Regensburg. 193 p.
54. Bartumeus F, (2007) Levy processes in animal movement: an evolutionary hypothesis. Fractals-Complex Geometry Patterns and Scaling in Nature and Society 15: 151-162.
55. Bidlingmayer WL, (1994) How mosquitoes see traps - role of visual responses. Journal of the American Mosquito Control Association 10: 272-279.
56. Erwin DC, Ribeiro OK (1996) Phytophthora diseases worldwide. St. Paul Minnesota: APS Press. 562 p.
57. Duncan JM, (1999) Phytophthora- an abiding threat to our crops. Microbiology Today 26: 114-116.
58. Skelsey P, Holtslag AAM, van der Werf W, (2008) Development and validation of a quasi-Gaussian plume model for the transport of botanical spores. Agricultural and Forest Meteorology 148: 1383-1394.
59. Skelsey P, Kessel GJT, Holtslag AAM, Moene AF, van der Werf W, (2009) Regional spore dispersal as a factor in disease risk warnings for potato late blight: a proof of concept. Agricultural and Forest Meteorology 149: 419-430.
60. Skelsey P, Kessel GJT, Rossing WA, van der Werf W, (2009) Parameterization and evaluation of a spatiotemporal model of the potato late blight pathosystem. Phytopathology 99: 290-300.
61. Skelsey P, Rossing WA, Kessel GJT, van der Werf W, (2009) Scenario approach for assessing the utility of dispersal information in decision support for aerially spread plant pathogens, applied to Phytophthora infestans. Phytopathology 99: 887-895.
62. Keitt TH, (2000) Spectral representation of neutral landscapes. Landscape Ecology 15: 479-493.
63. Mandelbrot BB (1983) The fractal geometry of nature. New York: Macmillan. 468 p.
64. Voss RF (1985) Random fractal forgeries. In: Earnshaw RA, editor. Fundamental algorithms for computer graphics. Berlin: Springer Berlin Heidelberg. pp. 805-835.
65. With KA, Gardner RH, Turner MG, (1997) Landscape connectivity and population distributions in heterogeneous environments. Oikos 78: 151-169.
66. With KA, King AW, (1997) The use and misuse of neutral landscape models in ecology. Oikos 79: 219-229.
67. Haase P, (1995) Spatial pattern analysis in ecology based on Ripley's K function: introduction and methods of edge correction. Journal of Vegetation Science 6: 575-582.
68. Hastings A, Gross LJ (2012) Encyclopedia of theoretical ecology. Berkeley: University of California Press. xxiv. 823 p.
69. Kuuluvainen T, Rouvinen S, (2000) Post-fire understory regeneration in boreal Pinus sylvestris forests with different fire histories. Journal of Vegetation Science 11: 801-812.
70. Peterson CJ, Squiers ER, (1995) An unexpected change in spatial pattern across 10 years in an aspen-white pine forest. Journal of Ecology 83: 847-855.
71. Ricketts TH, (2001) The matrix matters: effective isolation in fragmented landscapes. American Naturalist 158: 87-99.
72. Finckh MR, (2008) Integration of breeding and technology into diversification strategies for disease control in modern agriculture. European Journal of Plant Pathology 121: 399-409.
73. Mundt CC, (2002) Use of multiline cultivars and cultivar mixtures for disease management. Annual Review of Phytopathology 40: 381-410.
74. Aylor DE, (2003) Spread of plant disease on a continental scale: role of aerial dispersal of pathogens. Ecology 84: 1989-1997.
75. Mizubuti ESG, Aylor DE, Fry WE, (2000) Survival of Phytophthora infestans sporangia exposed to solar radiation. Phytopathology 90: 78-84.
76. Mundt CC, Sackett KE, Wallace LD, Cowger C, Dudley JP, (2009) Long-distance dispersal and accelerating waves of disease: empirical relationships. American Naturalist 173: 456-466.
77. O'Neill J (2009) The Irish potato famine. Minnesota: ABDO Publishing. 112 p.
78. Zadoks JC, (2008) The potato murrain on the European continent and the revolutions of 1848. Potato Research 51: 5-45.
79. Bourke PM, (1964) Emergence of potato late blight, 1843-1846. Nature 203: 805-808.
80. Francini-Filho RB, Coni EO, Meirelles PM, Amado-Filho GM, Thompson FL, et al. (2013) Dynamics of coral reef benthic assemblages of the Abrolhos Bank, eastern Brazil: inferences on natural and anthropogenic drivers. PloS one 8: e54260.
81. Bruce T, Meirelles PM, Garcia G, Paranhos R, Rezende CE, et al. (2012) Abrolhos Bank reef health evaluated by means of water quality, microbial diversity, benthic cover, and fish biomass data. PloS one 7: e36687.