+ All Categories
Home > Education > Epidemiological modelling of Phytophthora ramorum

Epidemiological modelling of Phytophthora ramorum

Date post: 05-Dec-2014
Category:
Upload: marco-pautasso
View: 551 times
Download: 1 times
Share this document with a friend
Description:
Epidemiological modelling of Phytophthora ramorum, sudden oak death, West Coast of the USA, England and Wales, plant pathology, landscape pathology. Connectivity loss in the North American power grid due to the removal of transmission substations.
14
Epidemiological modeling of Phytophthora ramorum: network properties of susceptible plant genera movements in the UK nursery sector Marco Pautasso, 1 Tom Harwood, 2 Mike Shaw, 2 Xiangming Xu 3 & Mike Jeger 1 1 Imperial College London, UK 2 University of Reading, UK 3 East Malling Research, UK SOD Symposium III, 8 Mar 2007
Transcript
Page 1: Epidemiological modelling of Phytophthora ramorum

Epidemiological modeling of Phytophthora ramorum: network

properties of susceptible plant genera movements in the UK nursery sector

Marco Pautasso,1 Tom Harwood,2 Mike Shaw,2Xiangming Xu3 & Mike Jeger1

1 Imperial College London, UK 2 University of Reading, UK 3 East Malling Research, UK

SOD Symposium III,8 Mar 2007

Page 2: Epidemiological modelling of Phytophthora ramorum

From: Hufnagel, Brockmann & Geisel (2004) Forecast and control of epidemics in a globalized world. PNAS 101: 15124-15129

number of passengers per day

Disease spread in a globalized world

Page 3: Epidemiological modelling of Phytophthora ramorum

NATURAL

TECHNOLOGICAL SOCIAL

food webs

airport networks

cell metabolism

neural networks

railway networks

ant nests

WWWInternet

electrical power grids

software mapscomputing

gridsE-mail

patterns

innovation flows

telephone calls

co-authorship nets

family networks

committees

sexual partnerships DISEASE

SPREAD

Food web of Little Rock Lake, Wisconsin, US

Internet structure

Network pictures from: Newman (2003) The structure and function of complex networks. SIAM Review 45: 167-256

HIV spread

network

Epidemiology is just one of the many applications of network theory

urban road networks

Modified from: Jeger MJ, Pautasso M, Holdenrieder O & Shaw MW (2007) Modelling disease spread and control in networks: implications for plant sciences. New Phytologist in press

Page 4: Epidemiological modelling of Phytophthora ramorum

Different types of networks

Modified from: Keeling & Eames (2005) Networks and epidemic models. Interface 2: 295-307

random scale-free

local small-world

Page 5: Epidemiological modelling of Phytophthora ramorum

Epidemic development in different types of networks

scale-freerandom2-D lattice rewired2-D lattice1-D lattice rewired1-D lattice

From: Shirley & Rushton (2005) The impacts of network topology on disease spread. Ecological Complexity 2: 287-299

N of nodes of networks = 500;p of infection = 0.1;

latent period = 2 time steps;infectious period = 10 time steps

Page 6: Epidemiological modelling of Phytophthora ramorum

Records positive to P. ramorum

0

25

50

75

100

Jan-03Apr-0

3Ju

l-03

Oct-03

Jan-04Apr-0

4Ju

l-04

Oct-04

Jan-05Apr-0

5Ju

l-05

Oct-05

n of

reco

rds nurseries/

gardencentres

Temporal development; England & Wales, 2003-2005; n = 1104

Data source: Department for Environment, Food and Rural Affairs, UK

Page 7: Epidemiological modelling of Phytophthora ramorum

Records positive to P. ramorum

0

50

100

150

200

250

Jan-03Apr-0

3Ju

l-03

Oct-03

Jan-04Apr-0

4Ju

l-04

Oct-04

Jan-05Apr-0

5Ju

l-05

Oct-05

n of

reco

rds estates/

environment

Temporal development; England & Wales, 2003-2005; n = 1456

Data source: Department for Environment, Food and Rural Affairs, UK

Page 8: Epidemiological modelling of Phytophthora ramorum

Nursery records positive to P. ramorum

0%

25%

50%

75%

100%

Jan-03

Apr-03

Jul-0

3Oct-

03Jan

-04Apr-0

4Ju

l-04

Oct-04

Jan-05

Apr-05

Jul-0

5Oct-

05

n of

reco

rds

UK origin

non-UK origin

Data source: Department for Environment, Food and Rural Affairs, UK

Temporal development; England & Wales, 2003-2005; n = 704

Page 9: Epidemiological modelling of Phytophthora ramorum

England and Wales: records positive to Phytophthora ramorum

n = 2788

Jan 2003-Dec 2005

Data source: DEFRA, UKCourtesy of Richard Baker,CSL, UK

Page 10: Epidemiological modelling of Phytophthora ramorum

Web of susceptible genera connected by Phytophthora ramorum (based on genus co-existence in 2788 positive findings in England & Wales, 2003-2005)

Rhodo-dendron

Magnolia

Fagus

Castanea Taxus

Festuca

Laurus

Umbellularia

Drimys

Leucothoe

Kalmia

Parrotia

Syringa

Hamamelis

CamelliaViburnum

Pieris

Quercus

Data source: DEFRA, UK

Page 11: Epidemiological modelling of Phytophthora ramorum

y = -0.33x + 1.27R2 = 0.93

0.0

0.2

0.4

0.6

0.8

1.0

1.2

0.0 1.0 2.0 3.0 4.0

log10 n of positive P. ramorum records in database

log 1

0 num

ber o

f aff

ecte

d ge

nera

Frequency distribution of number of plant genera affected by Phytophthora ramorum by n of records in the database of 2788

positive findings in England & Wales, 2003-2005)

Data source: DEFRA, UK

Page 12: Epidemiological modelling of Phytophthora ramorum

Connectivity loss in the North American power grid due to the removal of transmission substations

From: Albert, Albert & Nakarado (2004) Structural vulnerability of the North American power grid. Physical Review E 69, 025103

transmission nodes removed (%)

Page 13: Epidemiological modelling of Phytophthora ramorum

AcknowledgementsAlan Inman, Department for Environment, Food

and Rural Affairs, UK

Claire Sansford, Judith Turner & Richard Baker,

Central Science Laboratory, York, UK

Sandra Denman & Joan Webber, Forest Research, Alice Holt, UK

Ottmar Holdenrieder, ETH, Zurich, CH

Jennifer Parke, Oregon State University

Page 14: Epidemiological modelling of Phytophthora ramorum

ReferencesDehnen-Schmutz K, Holdenrieder O, Jeger MJ & Pautasso M (2010) Structural change in the international horticultural industry: some implications for plant health. Scientia Horticulturae 125: 1-15Harwood TD, Xu XM, Pautasso M, Jeger MJ & Shaw M (2009) Epidemiological risk assessment using linked network and grid based modelling: Phytophthora ramorum and P. kernoviae in the UK. Ecological Modelling 220: 3353-3361 Jeger MJ & Pautasso M (2008) Comparative epidemiology of zoosporic plant pathogens. European Journal of Plant Pathology 122: 111-126Jeger MJ, Pautasso M, Holdenrieder O & Shaw MW (2007) Modelling disease spread and control in networks: implications for plant sciences. New Phytologist 174: 179-197 Lonsdale D, Pautasso M & Holdenrieder O (2008) Wood-decaying fungi in the forest: conservation needs and management options. European Journal of Forest Research 127: 1-22 MacLeod A, Pautasso M, Jeger MJ & Haines-Young R (2010) Evolution of the international regulation of plant pests and challenges for future plant health. Food Security 2: 49-70 Moslonka-Lefebvre M, Pautasso M & Jeger MJ (2009) Disease spread in small-size directed networks: epidemic threshold, correlation between links to and from nodes, and clustering. J Theor Biol 260: 402-411Moslonka-Lefebvre M, Finley A, Dorigatti I, Dehnen-Schmutz K, Harwood T, Jeger MJ, Xu XM, Holdenrieder O & Pautasso M (2011) Networks in plant epidemiology: from genes to landscapes, countries and continents. Phytopathology 101: 392-403Pautasso M (2009) Geographical genetics and the conservation of forest trees. Perspectives in Plant Ecology, Systematics & Evolution 11: 157-189Pautasso M (2010) Worsening file-drawer problem in the abstracts of natural, medical and social science databases. Scientometrics 85: 193-202Pautasso M & Jeger MJ (2008) Epidemic threshold and network structure: the interplay of probability of transmission and of persistence in directed networks. Ecological Complexity 5: 1-8Pautasso M et al (2010) Plant health and global change – some implications for landscape management. Biological Reviews 85: 729-755Pautasso M, Moslonka-Lefebvre M & Jeger MJ (2010) The number of links to and from the starting node as a predictor of epidemic size in small-size directed networks. Ecological Complexity 7: 424-432 Pautasso M, Xu XM, Jeger MJ, Harwood T, Moslonka-Lefebvre M & Pellis L (2010) Disease spread in small-size directed trade networks: the role of hierarchical categories. Journal of Applied Ecology 47: 1300-1309Xu XM, Harwood TD, Pautasso M & Jeger MJ (2009) Spatio-temporal analysis of an invasive plant pathogen (Phytophthora ramorum) in England and Wales. Ecography 32: 504-516


Recommended