Potential distribution of Xylella fastidiosa in Italy: A maximum entropy model

Phytopathologia Mediterranea

Volumn 55, Issue 1, 2016, Pages 62-72

  Bosso, Luciano ^a   Russo, Danilo ^a,b   Di Febbraro, Mirko ^c   Cristinzio, Gennaro ^a   Zoina, Astolfo ^d  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

^c UNIVERSITY OF MOLISE   (Italy)

^d CNR   (Italy)

Author keywords

Emerging pest; EPPO; Maxent; Olive quick decline syndrome; Species distribution models

Indexed keywords

EID: 84981554854     PISSN: 00319465     EISSN: 15932095     Source Type: Journal    
DOI: 10.14601/Phytopathol_Mediterr-16429     Document Type: Article

References (46)

1. Aguayo J., F. Elegbede, C. Husson, F.X. Saintonge and B. Marçais, 2014. Modeling climate impact on an emerging disease, the Phytophthora alni - induced alder decline. Global Change Biology 20, 3209-3221.
2. Allouche O., A. Tsoar and R. Kadmon, 2006. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43, 1223-1232.
3. Anselmi N., Cardin L. and G. Nicolotti, 1994. Plane decline in European and Mediterranean countries: associated pests and their interactions. EPPO Bulletin 24, 159-171.
4. Bosso L., H. Rebelo, A.P. Garonna and D. Russo, 2013. Modelling geographic distribution and detecting conservation gaps in Italy for the threatened beetle Rosalia alpina. Journal for Nature Conservation 21, 72-80.
5. Cariddi C., M. Saponari, D. Boscia, A. De Stradis, G. Loconsole, F. Nigro, F. Porcelli, O. Potere and G.P. Martelli, 2014. Isolation of a Xylella fastidiosa strain infecting olive and oleander in apulia, Italy. Journal of Plant Pathology 96, 1-5.
6. Carlucci A., F. Lops, G. Marchi, L. Mugnai and G. Surico, 2013. Has Xylella fastidiosa "chosen" olive trees to establish in the Mediterranean basin? Phytopathologia Mediterranea 52, 541-544.
7. Doko T., H. Fukui, A. Kooiman, A.G. Toxopeus, T. Ichinose, W. Chen and A.K. Skidmore, 2011. Identifying habitat patches and potential ecological corridors for remnant Asiatic black bear (Ursus thibetanus japonicus) populations in Japan. Ecological Modelling 222, 748-761.
8. Domíguez-Vega H., O. Monroy-Vilchis, C.J. Balderas-Valdivia, C.M. Gienger and D. Ariano-Sánchez, 2012. Predicting the potential distribution of the beaded lizard and identification of priority areas for conservation. Journal for Nature Conservation 20, 247-253.
9. Ejere V.C. and H.T. Okpara, 2010. Aspects of the ecology of spittlebugs (Homoptera: Cercopidae) in Nsukka, south east, Nigeria. Animal Research International 7, 1242-1252.
10. Elbeaino T., Yaseen T., Valentini F., Ben Moussa I.E., Mazzoni V. and A.M. D'onghia, 2014. Identification of three potential insect vectors of Xylella fastidiosa in southern Italy. Phytopathologia Mediterranea 1, 328-332.
11. Elith J., 2002. Quantitative methods for modeling species habitat: Comparative performance and an application to Australian plants. In S. Ferson, & M. Burgman (Eds.), Quantitative methods for conservation biology. New York: Springer-Verlag.
12. Elith J., C.H. Graham, R.P. Anderson, M. Dudik, S. Ferrier, A. Guisan, R.J. Hijmans, F. Huettmann, J.R. Leathwick, A. Lehmann, L. Jin, L.G. Lohmann, B. A. Loiselle, G. Manion, C. Moritz, M. Nakamura, Y. Nakazawa, J. Mcc Overton, A.T. Peterson, S.J. Phillips, K. Richardson, R. Scachettipereira, R.E. Schapire, J. Soberón, S. Williams, M.S. Wisz and N.E. Zimmermann, 2006. Novel methods improve prediction of species' distributions from occurrence data. Ecography 29, 129-151.
13. Elith J., M. Kearney and S. Phillips, 2010. The art of modelling range-shifting species. Methods in Ecology and Evolution 1, 330-342.
14. Fabre B., D. Piou, M.L. Desprez-Loustau and A. Marçais, 2011. Can the emergence of pine Diplodia shoot blight in France be explained by changes in pathogen pressure linked to climate change? Global Change Biology 17, 3218-3227.
15. Fielding A.H. and J.F. Bell, 1997. A review of methods for the assessment of prediction errors in conservation presence/ absence models. Environmental Conservation 24, 38-49.
16. Garrett K.A., S.P. Dendy, E.E. Frank, M.N. Rouse and S.E. Travers, 2006 Climate change effects on plant disease: genomes to ecosystems. Annual Review of Phytopathology 44, 489-509.
17. Glawe D.A., 2008. The powdery mildews: a review of the world's most familiar (yet poorly known) plant pathogens. Annual Review of Phytopathology 46, 27-51.
18. Guisan A. and W. Thuiller, 2005. Predicting species distribution: offering more than simple habitat models. Ecology Letters 8, 993-1009.
19. Guisan A. and N.E. Zimmermann, 2000. Predictive habitat distribution models in ecology. Ecological Modelling 135, 147-186.
20. Halkka O., M. Raatikainen, A. Vasarainen and A. Heinonen, 1967. Ecology and ecological genetics of Philaenus spumarìus (L.) (Homoptera). Annales Zoologici Fennici 4, 1-18.
21. Hijmans R.J., L. Guarino, M. Cruz and E. Rojas, 2005. Computer tools for spatial analysis of plant genetic resources data. 1. DIVA-GIS. Plant Genetic Resources Newsletter 127, 15-19.
22. Hoddle M.S., 2004. The potential adventive geographic range of glassy-winged sharpshooter, Homalodisca coagulata and the grape pathogen Xylella fastidiosa: implications for California and other grape growing regions of the world. Crop Protection 23, 691-699.
23. Hopkins D.L. and A.H. Purcell, 2002. Xylella fastidiosa: cause of Pierce's disease of grapevine and other emergent diseases. Plant Disease 86, 1056-1066.
24. Janse J.D. and A. Obradovic, 2010. Xylella fastidiosa: its biology, diagnosis, control and risks. Journal of Plant Pathology 92, S135-S148.
25. Jock S., V. Donat, M.M. López, C. Bazzi and K. Geider, 2002. Following spread of fire blight in Western, Central and Southern Europe by molecular differentiation of Erwinia amylovora strains with PFGE analysis. Environmental Microbiology 4, 106-114.
26. Loconsole G., O. Potere, D. Boscia, G. Altamura, K. Djelouah, T. Elbeaino, D. Frasheri, D. Lorusso, F. Palmisano, P. Pollastro, M.R. Silletti, N. Trisciuzzi, F. Valentini, V. Savino and M. Saponari, 2014. Detection of Xylella fastidiosa in olive trees by molecular and serological methods. Journal of Plant Pathology 96, 1-8.
27. Pearson R.G., C.J. Raxworthy, M. Nakamura and A.T. Peterson, 2007. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography 34, 102-117.
28. Perring T.M., C.A. Farrar and M.J. Blua, 2001. Proximity to citrus influences Pierce's disease in Temecula Valley vineyards. California agriculture 55, 13-18.
29. Phillips S.J., R.P. Anderson and R.E. Schapire, 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231-259.
30. Primack R.B., 2014. Essentials of Conservation Biology, 6th Edition, Sinauer, Sunderland, 603 pp.
31. Purcell A.H., 1997. Xylella fastidiosa, a regional problem or global threat? Journal of Plant Pathology 79, 99-105.
32. Purcell A.H., 2013. Paradigms: Examples from the bacterium Xylella fastidiosa. Annual Review of Phytopathology 51, 229-356.
33. Rebelo H. and G. Jones, 2010. Ground validation of presenceonly modelling with rare species: A case study on Barbastella barbastellus (Chiroptera: Vespertilionidae). Journal of Applied Ecology 47, 410-420.
34. Rebelo H., P. Tarroso and G. Jones, 2010. Predicted impact of climate change on European bats in relation to their biogeographic patterns. Global Change Biology 16, 561-576.
35. Roscioni F., D. Russo, M. Di Febbraro, L. Frate, M.L. Carranza and A. Loy, 2013 Regional-scale modelling of the cumulative impact of wind farms on bats. Biodiversity and Conservation 22, 1821-1835.
36. Roscioni F., H. Rebelo, D. Russo, M.L. Carranza, M. Di Febbraro and A. Loy, 2014. A modelling approach to infer the effects of wind farms on landscape connectivity for bats. Landscape Ecology 29, 891-903.
37. Russo D., M. Di Febbraro, H. Rebelo, M. Mucedda, L. Cistrone, P. Agnelli, P. P. De Pasquale, A. Martinoli, D. Scaravelli, C. Spilinga and L. Bosso, 2014. What story does geographic separation of insular bats tell? A case study on Sardinian Rhinolophids. PLoS ONE 9: e110894. doi: 10.1371/journal. pone.0110894. pmid:25340737.
38. Russo D., M. Di Febbraro, L. Cistrone, G. Jones, S. Smeraldo, A.P. Garonna and L. Bosso, 2015. Protecting one, protecting both? Scale-dependent ecological differences in two species using dead trees, the rosalia longicorn beetle and the barbastelle bat. Journal of Zoology, DOI: 10.1111/jzo.12271.
39. Saponari M., D. Boscia, F. Nigro and G.P. Martelli, 2013. Identification of DNA sequences related to Xylella fastidiosa in oleander, almond and olive trees exhibiting leaf scorch symptoms in Apulia (Southern Italy). Journal of Plant Pathology 95, 668.
40. Saponari M., G. Loconsole, D. Cornara, R.K. Yokomi, A. De Stradis, D. Boscia, D. Bosco, G.P. Martelli, R. Krugner and F. Porcelli, 2014. Infectivity and transmission of Xylella fastidiosa by Philaenus spumarius (Hemiptera: Aphrophoridae) in Apulia, Italy. Journal of economic entomology 107, 1316-1319.
41. Sinclair S.J., M.D. White and G.R. Newell, 2010. How useful are species distribution models for managing biodiversity under future climates? Ecology and Society 15, 8.
42. Solla A., J. Bohnens, E. Collin et al., 2005. Screening European elms for resistance to Ophiostoma novo-ulmi. Forest ScIence 51, 134-141.
43. Sutherst R.W. and G.F. Maywald, 1985. A computerised system for matching climates in ecology. Agriculture Ecosystems and Environment 13, 281-299.
44. Warren D.L. and S.N. Seifert, 2011. Environmental niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. Ecological Application 21, 335-342.
45. Wells J.M., B.C. Raju, H.Y. Hung, W.G. Weisburg, L. Mandelco- Paul and D.J. Brenner, 1987. Xylella fastidiosa gen. nov., sp. nov.: gram-negative, xylem-limited, fastidious plant bacteria related to Xanthomonas spp. International Journal of Systematic Bacteriolology 37, 136-143.
46. Wisz M.S., J. Pottier, W.D. Kissling, L. Pellissier, J. Lenoir, C.F. Damgaard, C.F. Dormann, M.C. Forchhammer, J.A. Grytnes, A. Guisan, R.K. Heikkinen, T.T. Høye, I. Kühn, M. Luoto, L. Maiorano, M.C. Nilsson, S. Normand, E. öckinger, N.M. Schmidt, M. Termansen, A. Timmermann, D.A.Wardle, P. Aastrup and J.C. Svenning, 2013. The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling. Biological reviews of the Cambridge Philosophical Society 88, 15-30.