1. WP5:Valuing what is at risk, estimating impacts and evaluating management options Palm Protect: Final project meeting, Gran Canaria, 19 th Nov, ‘14

2. Acknowledgement Many thanks to all Palm Protect project partners and collaborators who searched for data regarding pest outbreaks, management action taken and costs incurred. Your help and advice has been much appreciated. Help is still needed to complete the last 2 deliverables

3. Outline – Economic impacts WP5 - delivery schedule Progress since last project meeting What we need to do to complete the WP

4. Delivery schedule - original plan No.DeliverableProject month D 5.1Report describing the economic market for palm products 6 D 5.2Report describing the ecosystem services provided by amenity palm planting, with examples of the value of some services 18 D 5.3Report estimating the potential socio- economic impacts caused under given scenarios 24 D 5.4Report estimating the change in future impacts by implementing new control measures and management strategies 36 D 5.5Identification of costs: benefits of management strategies 36

5. Delivery schedule - revised plan No.DeliverableProject month D 5.1Report describing the economic market for palm products 6 D 5.2Report describing the ecosystem services provided by amenity palm planting, with examples of the value of some services 18 D 5.3Report estimating the potential socio- economic impacts caused under given scenarios 31 D 5.4Report estimating the change in future impacts by implementing new control measures and management strategies 36 D 5.5Identification of costs: benefits of management strategies 36

6. Progress summary (i) Mapping establishment area Draw on review of host literature (WP2) & other host information Review other modelling approaches Climate change scenarios Economic modelling of impacts (base line study) Case study countries Expert input of parameters Since Sicily meeting (May’14)

7. Potential distribution Knowledge of area under threat informs the magnitude of impact Can use of modelling systems to identify areas suitable for establishment Using information from WP 2 has helped inform identification of area for establishment Shows integration between project WPs

8. Mapping establishment area To estimate impacts need to have an idea of potential area for pest establishment Previous feed back from partners suggested RPW would occur where hosts were found i.e. range limited by host distribution WP5 examined this

9. Environmental suitability: hosts Hosts – use information from WP2 Although R. ferrugineus has many “hosts” in Europe, most significant damage occurs on only two; Phoenix canariensis and P. dactylifera Both are restricted to southern Europe, in plant hardiness zones 9, 10 and 11

10. Plant hardiness zones Plant hardiness zones are based on average annual minimum temperatures and are a way to categorize locations suitable for winter survival of plants

11. Environmental suitability: hosts

12. EU countries containing plant hardiness zones 9, 10 or 11, with the percentage of 0.5 o latitude x 0.5 o longitude grid cells in each zone. Zones not suitable for Phoenix canariensis or P. dactylifera Zones most suitable for P. canariensis and/ or P. dactylifera EU MSZones 1-8Zone 9Zone 10Zone 11Sum 9-11 Malta--100.0- Portugal22.667.69.50.277.3 Cyprus32.767.3-- Greece66.333.7-- Italy71.222.16.7-28.8 Spain77.821.30.9-22.2 France93.86.2-- Ireland98.02.0-- Area by country

13. Environmental suitability - RPW Having identified areas most suited to primary hosts WP5 then examined the areas where climate is most suitable for R. ferrugineus development Allows areas at risk to be identified, and consequences estimated

14. Previous studies 3 earlier studies predicted RPW distribution

15. Fiaboe et al. (2012) Niche modelling Summary of ecological niche model projections based on the known occurrences of R. ferrugineus globally. Ramp scale from white (unsuitable) to red (highly suitable). Source: Fiaboe et al.,(2012)

16. Zhou et al. (2012) CLIMEX Predicting RPW distribution in AsiaZhou, Zhang, Ren & Hang (2012)

17. Zhou et al. (2012) parameters applied to Europe

18. Ji et al. (2013) CLIMEX Areas that suit development of RPW: light grey to black (least to most suitable)

19. Current distribution RPW distribution in Asia, North Africa & Europe

20. Current distribution RPW distribution in Asia, North Africa & Europe + hardiness zones

21. WP5 estimate (CLIMEX)

22. Approximate distribution of R. ferrugineus marked by circles.

23. WP5 estimate (CLIMEX) WP5 estimate focussed into the Euro-Mediterranean region.

24. WP5 estimate with irrigation WP5 estimate focussed into the Euro-Mediterranean region.

25. Climate change scenarios Shabani et al. (2013) used CLIMEX software to show the potential distribution of P. dactylifera under current and various future climate scenarios for Spain

26. Date palm distribution Source: Shabani et al. (2013)

27. RPW current climate + irrigation WP5 estimate focussed into the Euro-Mediterranean region.

28. RPW future climate + irrigation WP5 estimate focussed into the Euro-Mediterranean region.

29. Conclusions (RPW) 1 R. ferrugineus is fairly well established in some coastal areas around the Mediterranean (inc. Egypt and Israel) but there is still considerable scope for more spread Primary Phoenix hosts are limited to coastal southern areas, but some potential hosts are more frost tolerant and if they turn out to be true hosts northwards spread of pest is likely Climate change will support further spread of hosts and pest

30. Conclusions (RPW) 2 This work confirms experts opinions that R. ferrugineus is likely to be able to establish in areas where hosts plants flourish Areas not yet infested by R. ferrugineus are therefore vulnerable to damage by the borer Concern about future damage supports reasons for investment in research seeking effective tools and mechanisms to better manage and control the pest.

31. Paysandisia archon Not as well studied as not an economically important plant pest in South America WP 2 (Rochat et al., 2014) provided useful review of its occurrence in Europe, hosts, life cycle and biology from literature. In France, Italy and Spain, most often harms Trachycarpus fortunei, Chamaerops humilis and P. canariensis

32. Paysandisia archon Hosts Plant hardiness zones for true P. archon hosts PalmCommon nameGrows in hardiness zones Chamaerops humilisMediterranean Fan Palm8 - 11 Phoenix canariensisCanary Island Palm9 - 11 Trachycarpus fortuneiWindmill Palm8 -11 Butia capitataPindo Palm Tree8 - 11 Syagrus romanzoffianaQueen Palm9 - 11

33. European plant hardiness zones Zone 8

34. EFSA study – P. archon Distribution of Paysandisia archon in Europe. Map by Sarto i Monteys & Aguilar (2005) updated with information from (EFSA, 2014).

35. Paysandisia archon No detailed modelling by WP5 due to … - lack of detailed information about the distribution of P. archon - lack detailed of information on response to climatic parameters Given lack of data such modelling would be inappropriate (as per guidance by Baker et al., 2012).

36. Economic impact

37. Due to variability of detail with the information obtainable, WP5 developed reasonable scenarios to describe areas of establishment and the socio- economic impact that occurred in case study countries Developed model for pest spread (radial & satellite generation) Socio-economic impacts estimated within current area and the area occupied in next 10 years

38. Economic impact Complex spread model based on spread model published previously (Cook et al., 2006) Many input parameters WP5 began with estimates based on data in literature or expert opinion Shared with contacts in case study countries for feedback (Spain, Italy, Greece & France) These are the worst affected EU countries

39. Spread model parameters

40. Complex spread model Area infested Satellite generation Number of infested palms at an outbreak Economic impact due to eradication effort, replacement cost and ecosystem services

41. Data Spread: parameters vary between case study countries due to differences in climate, composition and distribution of hosts used expert opinion e.g. growth rate, population densities, flight range Cost: parameters vary due to differences in action taken (regional variation), little data freely available; most detailed used for the purpose of solidarity payments and EU surveys Lost ESS: literature based, but very limited

42. Economic impact (NPPO) NPPO costs to implement the current EU emergency measures (surveillance and inspection to monitor spread in infested sites and demarcated buffer zones) Destruction / treatment of infested palms Preventive chemical treatments within and around 200 metres of the infested sites

43. Economic impact (other) Replacement cost and value of ecosystem services provided by palms Based on market information and published studies

44. However: not all costs included Not all ecosystem services which are lost when palms are infested and destroyed are included in calculations - energy saving from shading - wind shelter provided - aesthetic and cultural value

45. Not all costs included Palms that fall can kill people Impact estimates are therefore conservative (low estimate)

46. Cumulative impacts to 2013 (€ millions)

47. Cumulative additional impacts to 2023 (€ millions)

48. D 5.3 Potential impacts Developed scenarios that describe areas of establishment and the socio- economic impact that can be expected over next 10 years Provides a base line for comparison in scenarios where new management methods are used

49. Final work Having established base line (D 5.3) … Aim is to next represent new detection & monitoring (WP3) and management options (WP4) in model e.g. revise likelihood of detection & change diffusion So now needs estimates of how implementing new methods will alter pest spread Use new parameter estimates in spread model to estimate new costs (D5.4) Compare base line with new options (D5.5)

50. Next steps (D5.4) A simple description of each method near to being applied in practice Comment on the methods improved efficacy versus current practice

51. Next steps (D5.4) With such information, WP5 will develop a set of scenarios and assumptions modifying model parameters Check these estimates against expert opinion Then rerun the model for case study countries so as to assess the effect of using new methods

52. Finally (D5.5) Comparison of D5.3 with D5.4 gives a type of cost: benefit analysis

53. Thank you