Modeling when, where, and how to manage a forest epidemic, motivated by sudden oak death in California

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 20, 2016, Pages 5640-5645

  Cunniffe, Nik J ^a   Cobb, Richard C ^b   Meentemeyer, Ross K ^c   Rizzo, David M ^b   Gilligan, Christopher A ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Constrained budget; Landscape scale stochastic epidemiological model; Optimizing disease control; Phytophthora ramorum; Risk aversion

Indexed keywords

ARTICLE; BUDGET; CALIFORNIA; CARBON SEQUESTRATION; DEATH; DISEASE CONTROL; ECOSYSTEM; FOLLOW UP; FOREST; FOREST MANAGEMENT; MICROORGANISM DETECTION; NONHUMAN; OAK; PHYTOPHTHORA; PHYTOPHTHORA RAMORUM; PRIORITY JOURNAL; EPIDEMIC; PARASITOLOGY; PLANT DISEASE; PREVENTION AND CONTROL; RISK; THERAPY; TIME FACTOR;

CALIFORNIA; EPIDEMICS; FORESTS; PHYTOPHTHORA; PLANT DISEASES; QUERCUS; RISK; TIME FACTORS;

EID: 84969988517     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1602153113     Document Type: Article

References (42)

1. Stenlid J, Oliva J, Boberg JB, Hopkins AJM (2011) Emerging diseases in European forest ecosystems and responses in society. Forests 2(2):486-504.
2. Sturrock RN, et al. (2011) Climate change and forest diseases. Plant Pathol 60(1): 133-149.
3. Brasier CM (2008) The biosecurity threat to the UK and global environment from international trade in plants. Plant Pathol 57(5):792-808.
4. Pimentel D, Zuniga R, Morrison D (2005) Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol Econ 52(3): 273-288.
5. Boyd IL, Freer-Smith PH, Gilligan CA, Godfray HCJ (2013) The consequence of tree pests and diseases for ecosystem services. Science 342(6160):1235773.
6. Gilligan CA, Truscott JE, Stacey AJ (2007) Impact of scale on the effectiveness of disease control strategies for epidemics with cryptic infection in a dynamical landscape: An example for a crop disease. J R Soc Interface 4(16):925-934.
7. Cunniffe NJ, Stutt ROJH, DeSimone RE, Gottwald TR, Gilligan CA (2015) Optimising and communicating options for the control of invasive plant disease when there is epidemiological uncertainty. PLoS Comput Biol 11(4):e1004211.
8. Parnell S, Gottwald TR, Riley T, van den Bosch F (2014) A generic risk-based surveying method for invading plant pathogens. Ecol Appl 24(4):779-790.
9. Epanchin-Niell RS, et al. (2010) Controlling invasive species in complex social landscapes. Front Ecol Environ 8(4):210-216.
10. Tomlinson I, Potter C (2010) 'Too little, too late'? Science, policy and Dutch elm disease in the UK. J Hist Geogr 36(2):121-131.
11. Brown JKM, Hovmoller MS (2002) Aerial dispersal of pathogens on the global and continental scales and its impact on plant disease. Science 297(5581):537-541.
12. Freinkel S (1997) American Chestnut: The Life, Death, and Rebirth of a Perfect Tree (Univ of California Press, Oakland, CA).
13. Maloy OC (1997) White pine blister rust control in North America: A case history. Annu Rev Phytopathol 35:87-109.
14. Gottwald TR (2007) Citrus canker and citrus huanglongbing, two exotic bacterial diseases threatening the citrus industries of the Western Hemisphere. Outlooks Pest Manag 18:274-279.
15. Cunniffe NJ, et al. (2015) Thirteen challenges in modelling plant diseases. Epidemics 10:6-10.
16. Rizzo DM, Garbelotto M, Hansen EM (2005) Phytophthora ramorum: Integrative research and management of an emerging pathogen in California and Oregon forests. Annu Rev Phytopathol 43:309-335.
17. Meentemeyer RK, Dorning MA, Vogler JB, Schmidt D, Garbelotto M (2015) Citizen science helps predict risk of emerging infectious disease. Front Ecol Environ 13(4): 189-194.
18. Meentemeyer RK, et al. (2011) Epidemiological modeling of invasion in heterogeneous landscapes: Spread of sudden oak death in California (1990-2030). Ecosphere 2(2):1-24.
19. Rizzo DM, Garbelotto M, Davidson JM, Slaughter GW, Koike ST (2002) Phytophthora ramorum as the cause of extensive mortality of Quercus spp. and Lithocarpus densiflorus in California. Plant Dis 86(3):205-214.
20. Lamsal S, et al. (2011) Spatial estimation of the density and carbon content of host populations for Phytophthora ramorum in California and Oregon. For Ecol Manage 262(6):989-998.
21. Brasier C, Webber J (2010) Plant pathology: Sudden larch death. Nature 466(7308): 824-825.
22. Hansen EM, et al. (2008) Epidemiology of Phytophthora ramorum in Oregon tanoak forests. Can J For Res 38(5):1133-1143.
23. Peterson EK, Hansen EM, Kanaskie A (2015) Temporal epidemiology of sudden oak death in Oregon. Phytopathology 105(7):937-946.
24. Werres S, et al. (2001) Phytophthora ramorum sp. nov., a new pathogen on Rhododendron and Viburnum. Mycol Res 105(10):1155-1165.
25. Keeling MJ, et al. (2001) Dynamics of the 2001 UK foot and mouth epidemic: Stochastic dispersal in a heterogeneous landscape. Science 294(5543):813-817.
26. Tildesley MJ, et al. (2006) Optimal reactive vaccination strategies for a foot-and-mouth outbreak in the UK. Nature 440(7080):83-86.
27. Tildesley MJ, Bessell PR, Keeling MJ, Woolhouse MEJ (2009) The role of pre-emptive culling in the control of foot-and-mouth disease. Proc Biol Sci 276(1671):3239-3248.
28. Epanchin-Niell RS, Hastings A (2010) Controlling established invaders: Integrating economics and spread dynamics to determine optimal management. Ecol Lett 13(4):528-541.
29. Tildesley MJ, Keeling MJ (2009) Is R(0) a good predictor of final epidemic size: Foot-and-mouth disease in the UK. J Theor Biol 258(4):623-629.
30. Epanchin-Niell RS, Haight RG, Berec L, Kean JM, Liebhold AM (2012) Optimal surveillance and eradication of invasive species in heterogeneous landscapes. Ecol Lett 15(8):803-812.
31. DEFRA (2014) Tree health management plan. Available at https://www.gov.uk/government/publications/tree-health-management-plan.
32. Thompson RN, Cobb RC, Gilligan CA, Cunniffe NJ (2016) Management of invading pathogens should be informed by epidemiology rather than administrative boundaries. Ecol Modell 324:28-32.
33. Parnell S, Gottwald TR, Gilligan CA, Cunniffe NJ, van den Bosch F (2010) The effect of landscape pattern on the optimal eradication zone of an invading epidemic. Phytopathology 100(7):638-644.
34. Marsot M, Rautureau S, Dufour B, Durand B (2014) Impact of stakeholders influence, geographic level and risk perception on strategic decisions in simulated foot and mouth disease epizootics in France. PLoS One 9(1):e86323.
35. Tildesley MJ, Smith G, Keeling MJ (2012) Modeling the spread and control of foot-and-mouth disease in Pennsylvania following its discovery and options for control. Prev Vet Med 104(3-4):224-239.
36. Keeling MJ, Woolhouse MEJ, May RM, Davies G, Grenfell BT (2003) Modelling vaccination strategies against foot-and-mouth disease. Nature 421(6919):136-142.
37. Bogich TL, Liebhold AM, Shea K (2008) To sample or eradicate? A cost minimization model for monitoring and managing an invasive species. J Appl Ecol 45(4):1134-1142.
38. Ndeffo Mbah ML, Gilligan CA (2010) Balancing detection and eradication for control of epidemics: Sudden oak death in mixed-species stands. PLoS One 5(9):e12317.
39. Neri FM, Cook AR, Gibson GJ, Gottwald TR, Gilligan CA (2014) Bayesian analysis for inference of an emerging epidemic: Citrus canker in urban landscapes. PLoS Comput Biol 10(4):e1003587.
40. Roy BA, et al. (2014) Increasing forest loss worldwide from invasive pests requires new trade regulations. Front Ecol Environ 12(8):457-465.
41. Meentemeyer RK, Anacker BL, Mark W, Rizzo DM (2008) Early detection of emerging forest disease using dispersal estimation and ecological niche modeling. Ecol Appl 18(2):377-390.
42. Filipe JAN, et al. (2012) Landscape epidemiology and control of pathogens with cryptic and long-distance dispersal: Sudden oak death in northern Californian forests. PLoS Comput Biol 8(1):e1002328.