بررسی اثرات تنش های آب و هوایی بر شدت آسیب آفات و بیماری های میوه خرما

1. Andrewartha, H. G. & Brirch, L. C. (1953). The distribution and abundance of animals. Univ. Chicago Press, Chicago.
2. Bale, J. S., Masters, G. J., Hodkinson, I. D., Awmack, C., Bezemer, T. M., Brown, V. K., Butterfield, J., Buse, A., Coulson, J. C. & Farrar, J. (2002). Herbivory in global climate change research: Direct effects of rising temperature on insect herbivores. Global Change Biology, 8, 1–16.
3. Bebber, D. P., Ramotowski, M. A. & Gurr, S. J. (2013). Crop pests and pathogens move polewards in a warming world. Nat Clim Change, 3, 985–988.
4. Bellocchi, G., Rivington, M., Donatelli, M. & Matthews, K. (2010). Validation of biophysical models: issues and methodologies. A review. Agronomy for Sustainable Development, 1, 109–130.
5. Bergot, M. & Cloppet, E. (2004). Simulation of Potential Range Expansion of Oak Disease Caused by Phytophthora Cinnamomi Under Climate Change. Global Change Biology, 10(9), 1539-1552.
6. Berger, S., Sinha, A. K. & Roitsch, T. (2007). Plant physiologymeets phytopathology: plant primary metabolism and plant–pathogen interactions. Journal of Experimental Botany, 58, 4019–4026.
7. Bjorkman, C. & Niemela, P. (2015). Climate Change and Insect Pests. CABI Climate Change Series 7, CAB International: Wallingford, UK, ISBN 978-1-78064-378-6.
8. Bregaglio, S., Donatelli, M., Confalonieri, R. & Orlandini, S. (2010). An integrated evaluation of thirteen modelling solutions for the generation of hourly values of air relative humidity. Theoretical and Applied Climatology, 102, 329–438.
9. Bregaglio, S., Donatelli, M., Confalonieri, R., Acutis, M. & Orlandini, S. (2011). Multi metric evaluation of leaf wetness models for large-area application of plant disease models. Agricultural and Forest Meteorology, 151, 1163–1172.

10. Chatterjee, HJaydeb, G., Senapti, S.K. & Ghosh, J. (2000). Influence of important weather parameters on population fluctuation on major insect pest of mandarin orange at darjeeling district of west Bengal. Journal of the Entomological Research Society, 24(3), 229-233.

11. Cunniffe, N. J., Koskella, B., Metcalf, J. E., Parnell, S., Gottwald, T. R. & Gilligan, C. A. (2015). Thirteen challenges in modelling plant diseases. Epidemics, 10, 6–10.

12. Dent, D. R. & Walton, M. P. (1999). Methods in ecological & Agricultural Entomology. CAB international, 387pp.

13. Dent, D. (1995) Integrated pest management. Chapmans & Hall. London, PP: 356.

14. Diaz, H. F., & Michael G. B. (1982). Inventory of sources of long term climatic data in microfilm and publication form. Asheville, N.C., National Climatic Center. 79 pp.

15. Esker, P. D., Savary, S. & McRoberts, N. (2012). Crop loss analysis and global food supply: focusing now on required harvests. CAB Reviews: perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources 052. CAB Reviews 2012, pp. 1–14 7.

16. Gaston, K. J. (2003) The Structure and Dynamics of Geographic Ranges. Oxford University Press. Oxford. Loiselle, B.A. 2003. Avoiding pitfalls of using species distribution models in conservation planning. Conservation Biology, 17, 1591–1600.

17. Gendi, S. M. (1998) Population fluctuation of Thrips tabaci on onion plants under environmental condition. Arab Universities Journal of Agriculture science, 69(11). 267-276.

18. Gramaje, D., Baumgartner, K., Halleen, F., Mostert, L., Sosnowski, M. R., Urbez-Torres, J. R. & Armengol, J. (2016). Fungal trunk diseases: a problem beyond grapevines? The Plant Pathology Journal, 65, 355–356.

19. Gregory, P. J., Johnson, S. N., Newton, A. C. & Ingram, J. S. (2009). Integrating pests and pathogens into the climate change/food security debate. Journal of Experimental Botany, 60, 2827–2838.

20. Guedes, R. N. C., Zanuncio, T. V., Zanuncio, J. C. & Medeiros, A. G. (2000). Species richness and fluctuation of defolier Lepidoptera population in Brazilian plantation of Eucalyptus grandis as affected by plant age and weather factors. Forest ecology and management, 137, 179-184.

21. Harrington, R. & Clark, S. J. (2007). Environmental change and the phenology of European aphids. Global Change Biology, 13(8), 1550-1564.

22. Holzworth, D. P., Snow, V. O., Janssen, S., Athanasiadis, I. N., Donatelli, M., Hoogenboom, G., White, J. W. & Thorburn, P. (2015). Agricultural production systems modelling and software: current status and future prospects. Environmental Modelling & Software, 72, 276–286.

23. Khamis, H. J. (1990). The delta-corrected Kolmogorov-Smirnov test for goodness of fit. Journal of Statistical Planning and Inference, 24, 317-335.

24. Latifian, M. & Zaerae, M. (2009). The effects of climatic conditions on seasonal population fluctuation of date palm scale Parlatoria blanchardi Targ. (Hem.: Dispididae). Plant Protection Journal, 1, 277-286.

25. Lamichhane, J. R., Barzman, M., Booij. K., Boonekamp, P., Desneux, N., Huber, L., Kudsk, P., Langrell, S. R. H., Ratnadass, A., Ricci, P., Sarah, J. L. & Messéan, A. (2015). Robust cropping systems to tackle pests under climate change. A review. Agronomy for Sustainable Development, 35, 443–459.

26. Latifian, M. & Zare, M. (2003). The forecasting model of the date lesser moth (Batrachedra amydraula) based on climatic factors. Journal of Agricultural Science, 2, 27-36.

27. Latifian, M. & Solimannejadian, N. E. (2009). Study of the Lesser moth Batrachedra amydraula (Lep.: Batrachedridae) distribution based on geostatistical models in Khuzestan province. Journal of the Entomological Research, 1, 43-55.

28. Latifian, M. (2012). Study the effects of drought on date palm pests and diseases damage fluctuations. First National Conference Dates and food security. Ahwaz, Iran, 237-239.

29. Latifian, M. (2014a). Date palm spider mite (Oligonychus afrasiaticus McGregor) forecasting and monitoring system. WALIA Journal, 30, 79-85.

30. Latifian, M. (2014b). Study the effects of dusts phenomenon on date palm important pests and diseases. Int. Journal of Agricultural Research Science, 2, 8-15.

31. Latifian, M. (2015). Study the Effects of Dusts Phenomenon on Date Palm Important Pests and Diseases. International Journal of Research in Agricultural Sciences, 2(1), 8-15.

32. Lees, A. K., & Hilton, A. J. (2003). Black dot (Colletotrichum coccodes): an increasingly important disease of potato. Plant Pathology, 52, 3–12.

33. Lee, K. J., Kang, J. Y., Lee, D. Y., Jang, S. W., Lee, M. S., Lee, B. W. & Kim, K. S. (2015) Use of an empirical model to estimate leaf wetness duration for operation of a disease warning system under a shade in a ginseng field. Plant Diseases, 100, 25–31.

34. Machekano, H., Mvumi, B. M. & Nyamukondiwa, C. (2017). Diamondback moth, Plutella xylostella (L.) in Southern Africa: Research trends, challenges and insights on sustainable management options. Sustainability, 9, 91.

35. Madden, L. V. & Ellis, M. A. (1988). How to develop plant disease forecasters. Pages 191-208. in: Experimental Techniques in Plant Disease Epidemiology Rotem ed. Springer-Verlag., New York.

36. Masters, G., Baker, P. & Flood, J. (2010). Climate change and agricultural commodities. CABI Work, 2, 1–38

37. Mawby, W. D. & Gold, H. J. (1984). A stochastic simulation model for large-scale southern pine beetle (Dendroctonus frontalis Zimmerman) infestation dynamics in the southeastern United States. Researches in Population Ecology, 26, 275-283.

38. Newman, J. A., Gibson, D. J., Parsons, A. J. & Thornley, J. H. M. (2003). How predictable are aphid population responses to elevated CO2. Journal of Animal Ecology, 52, 556–566.

39. Parker, M. & Warmund, M. (2011). Effect of Temperature on Apple Trees - eXtension. Extension. http://articles.extension.org/pages/60619/effect-of-temperature -onapple- trees.

40. Savary, S., Teng, P. S., Willocquet, L., Nutter Jr., F. W. (2006). Quantification and modeling of crop losses: a review of purposes. The Annual Review of Phytopathology,44, 89–112.

41. Whish, J. P. M., Herrmann, N. I., White, N. A., Moore, A. D. & Kriticos, D. J. (2015). Integrating pest population models with biophysical cropmodels to better represent the farming system. Environmental Modelling & Software, 72, 418–425.

42. Wiedner, C. & Rucker, J. (2007). Climate change affects timing and size of populations of an invasive cyanobacterium in temperate regions. Oecologia, 152(3), 473-484.

43. Yang, X. B. & Navi, S. S. (2005). First report of charcoal rot epidemics caused by Macrophomina phaseolina in soybean in Iowa. Plant Diseases, 89, 526.