Abstract
The forecast of insect population trends in the temporal dimension and the economic impact of population loads upon agricultural production was one of the central aspects of integrated pest management (IPM) during the second half of the previous century (Berryman and Pienaar 1974; Ruesink 1976; Welch et al. 1978; Getz and Gutierrez 1982; Pruess 1983; Egger 1991; Morgan and Solomon 1993). Phenological models were constructed for a vast variety of insects and crops, and used to make decisions regarding the application of control measures (Welch et al. 1981). Most of these models, however, did not take into consideration the spatial and geographic heterogeneity of the environment, a situation which may have resulted in a reduced ability of the models to forecast population trends and a lower adoption rate of the system approach for pest management (Pruess 1983; Baumgartner and Severini 1987).
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References
Baumgartner J, Severini M (1987) Microclimate and arthropod phonologies: the leaf miner Phyllonorycter blancardella F. (Lep.) as an example. In: Prodi F, Rossi F, Cristoferi G (eds) Proceedings of the International Conference on Agrometeorology, Cesena 1987. Fondazione Cesena Agricultura Publ, Cesena, pp 225–243
Berryman AA, Pienaar LV (1974) Simulation: a powerful method of investigating the dynamics and management of insect populations. Environ Entomol 3: 199–207
Binns MR, Nyrop JP (1992) Sampling insect populations for the purpose of IPM decision making. Annu Rev Entomol 37: 427–453
Brenner RJ, Focks DA, Arbogast RT, Weaver DK, Shuman D (1998) Practical use of spatial analysis in precision targeting for integrated pest management. Am Entomol 44: 79–101
Brewster CC, Allen JC, Schuster DJ, Stansly PA (1997) Simulating the dynamics of Bemisia argentifolii (Homoptera: Aleyrodidae) in an organic cropping system with a spatiotemporal model. Environ Entomol 26: 603–616
Brewster CC, Allen JC, Kopp DD (1999) IPM from space: using satellite imagery to construct regional crop maps for studying crop-insect interactions. Am Entomol 45: 105–117
Broumas TG, Haniotakis G, Liaropoulos C, Tomazou T, Ragousis N (2002) The efficacy of an improved form of the mass-trapping method for the control of the olive fly, Bactrocera oleae (Gmelin) (Dipt: Tephritidae): pilot scale feasibility study. J Appl Entomol 126: 217–223
Burrough PA (1986) Principles of geographic information systems for land resource assessment. Claredon Press, Oxford Conroy MJ, Cohen Y, James FC, Matsinos YG, Maurer BA (1995) Parameter estimation, reliability, and model improvement for spatially explicit models of animal populations. Ecol Appl 5: 17–19
Darnell SJ, Meinke LJ, Young LJ, Gotway CA (1999) Geostatistical investigation of the small-scale spatial variation of Western corn rootworm ( Coleoptera: Chrysomelidae) adults. Environ Entomol 28: 266–274
Davis PM (1994) Statistics for describing populations. In: Pedigo LP, Buntin GD (eds) Hand-book of sampling methods for arthropods in agriculture. CRC Press, Boca Raton, pp 33–54
Dowell RV, Siddiqui IA, Meyer F, Spaugy EL (2000) Mediterranean fruit fly preventive release programme in Southern California. In: Keng-Hong T (ed) Area-wide control of fruit flies and other insect pests. Penerbit University Sains Malaysia, Pulau Pinang, pp 369–375
Dunning JB, Stewart DJ, Danielson BJ, Noon BR, Root TL, Lamberson RH, Stevens EE (1995) Spatially explicit population models: current forms and future uses. Ecol Appl 5: 3–11
Efron D, Nestel D, Glazer I (2001) Spatial analysis of entomopathogenic nematodes and insect hosts in a citrus grove in a semi-arid region in Israel. Environ Entomol 30: 254–261
Egger E (1991) Agrometeorology, modeling and forecasting within IPM in horticultural crops and vineyards. EPPO Bull 21: 385–392
Getis A, Ord JK (1996) Local spatial statistics: an overview. In: LongleyP, Batty M (eds) Spatial analy-sis: modeling in a GIS environment. Geolnformation International, Cambridge, pp 261–277
Getz WM, Gutierrez AP (1982) A perspective on system analysis in crop production and insect pest management. Annu Rev Entomol 27: 447–466
Hohn ME, Liebhold AM, Gribko LS (1993) Geostatistical model for forecasting spatial dynamics of defoliation caused by the gypsy moth ( Lepidoptera: Lymantriidae). Environ Entomol 22: 1066–1075
Hollingsworth RG, Tabashnik BE, Ullman DE, Johnson MW, Messing R (1994) Resistance of Aphis gossypii (Homoptera: Aphididae) to insecticides in Hawaii: Spatial patterns and relation to insecticide use. J Econ Entomol 87: 293–300
Holmstrom KE, Hughes MG, Walker SD, Kline WL, Ingerson-Mahar J (2001) Spatial mapping of adult corn earworm and European corn borer populations in New Jersey. HorTechnology 11: 103–109
Isaaks EH, Srivastava RM (1989) An introduction to applied geostatistics. Oxford University Press, New York
Israely N, Yuval B, Kitron U, Nestel D (1997) Population fluctuations of adult Mediterranean fruit flies ( Diptera: Tephritidae) in a Mediterranean heterogeneous agricultural region. Environ Entomol 26: 1263–1269
Kemp WP, Kalaris TM, Quimby WF (1989) Rangeland grasshopper (Orthoptera: Acrididae) spatial variability: Macroscale population assessment. J Econ Entomol 82: 1270–1276
Kitron U, Pener H, Costin C, Orshan L, Greenberg Z, Shalom U (1994) Geographic information system in malaria surveillance: mosquito breeding and imported cases in Israel, 1992. Am J Trop Med Hyg 50: 550–556
Kitron U, Otieno LH, Hungerford LL, Odulaja A, Brigham WU, Okello 00, Joselyn M, Mohamed-Ahmed MM, Cook E (1996) Spatial analysis of the distribution of tsetse flies in the Lmabwe Valley, Kenya, using Landsat TM satellite imagery and GIS. J Anim Ecol 65: 371–380
Kitron U, Michael J, Swanson J, Haramis L (1997) Spatial analysis of the distribution of Lacrosse encephalitis in Illinois, using geographic information systems and local and global spatial statistics. Am J Trop Med Hyg 57: 469–475
Knudsen GR, Schotzko DJ (1991) Simulation of Russian wheat aphid movement and population dynamics on preferred and non-preferred host plants. Ecol Model 57: 117–131
Legaspi BC Jr, Allen JC, Brewster CC, Morales-Ramos JA, King EG (1998) Area-wide management of the cotton boll weevil: use of a spatio-temporal model in augmentative biological control. Ecol Model 110: 151–164
Levin SA (1992) The problem of pattern and scale in ecology. Ecology 73: 1943–1967
Liebhold AM, Zhang X, Hohn ME, Elkinton JS, Ticehurst M, Benzon GL, Campbell RW (1991)Geostatistical analysis of gypsy moth (Lepidoptera: Lymantriidae) egg mass populations.Environ Entomol 25: 1407–1417
Liebhold AM, Rossi RE, Kemp WP (1993) Geostatistics and geographic information systems in applied insect ecology. Annu Rev Entomol 38: 303–327
Ludwig JA, Reynolds JF (1988) Statistical ecology. Wiley, New York
Martinson TE, Dennehy TJ, Hoffman CJ (1994). Phenology, within vineyard distribution, and seasonal movement of eastern grape leafhopper ( Homoptera: Cicadellidae) in New York vineyards. Environ Entomol 23: 236–243
Midgarden DG, Youngman RR, Fleischer SJ (1993) Spatial analysis of counts of Western corn rootworm (Coleoptera: Chrysomelidae) adults on yellow sticky traps in corn: geostatistics and dispersion indices. Environ Entomol 22: 1124–1133
Morgan D, Solomon MG (1993) PEST-MAN: a forecasting system for apple and pear pests. EPPO Bull 23: 601–605
Nelson MR, Felix-Gastelum R, Orum TV, Stowell LJ, Myers DE (1994) Geographic information systems and geostatistics in the design and validation of regional plant virus management programs. Phytopathology 84: 898–905
Nestel D, Klein M (1995) Geostatistical analysis of leafhopper ( Homoptera: Cicadellidae) colonization and spread in deciduous orchards. Environ Entomol 24: 1032–1039
Nestel D, Dickschen F, Altieri MA (1994) Seasonal and spatial population loads of a tropical insect: the case of the coffee leaf-miner in Mexico. Ecol Entomol 19: 159–167
Nestel D, Pinhassi N, Reuveny H, Oppenheim D, Rosen D (1995) Development of a predictive phenological model for the spring generation of the olive scale, Parlatoria oleae (Colvée), in Israel: preliminary results. Isr J Entomol 24: 227–235
Nestel D, Carvalho J, Zaidan S, Ben-Yehuda S, Nemni-Lavy E (2002) Three years of trials on mass-trapping of the olive fly (Bactrocera oleae) in Israel. Alon Hanotea 56: 460–469
Papadopoulos NT, Katsoyannos BI, Nestel D (2003) Spatial autocorrelation analysis of a Ceratitis capitata ( Diptera: Tephritidae) adult population in a mixed deciduous fruit orchard in northern Greece. Environ Entomol 32: 319–326
Pinhassi N, Nestel D, Rosen D (1996) Oviposition and emergence of olive scale (Homoptera:Diaspididae) crawlers: regional degree-day forecasting model. Environ Entomol 25: 1–6
Pruess KP (1983) Day-Degree methods for pest management. Environ Entomol 12: 613–619
Radin AM, Drummond FA (1994) Patterns of initial colonization of cucurbits, reproductive activity, and dispersion of striped cucumber beetle, Acalymma vittata (F.) ( Coleoptera: Chry-somelidae). J Agric Entomol 11: 115–123
Randall MGM (1982) The dynamics of an insect population throughout it’s altitudinal distribu- tion: Coleophora alticolella (Lepidoptera) in northern England. J Anim Ecol 51: 993–1016
Ribes M, Bacunana M, Avilla J (1998) Estudio de la distribuci6n espacial de Cydia pomonella (L.) y Pandemis heparana (Denis and Schiffermüller) en Torregrossa ( Lleida) mediante métodos geostadisticos. Bol San Veg Plagas 24: 935–948
Roberts EA, Ravlin FW, Fleischer SJ (1993) Spatial data representation for integrated pest management programs. Am Entomol 39: 92–107
Rossi RE, Mulla DJ, Journel AG, Franz EH (1992) Geostatistical tools for modeling and interpreting ecological spatial dependence. Ecol Monogr 62: 227–314
Ruesink WG (1976) Status of the system approach to pest management. Annu Rev Entomol 21: 27–44
Russo JM, Liebhold AM, Kelley JG (1993) Mesoscale weather data input to a gypsy moth ( Lepidoptera: Lymantriidae) phenology model. J Econ Entomol 86: 838–844
Schaub LP, Ravlin FW, Gray DR, Logan JA (1995) Landscape framework to predict phenological events for gypsy moth ( Lepidoptera: Lymantriidae) management programs. Environ Entomol 24: 10–18
Schotzko DJ, Smith CM (1991) Effects of host plant on the between-plant spatial distribution of the Russian wheat aphid ( Homoptera: Aphididae). J Econ Entomol 84: 1725–1734
Schotzko DJ, Knudsen GR (1992) Use of geostatistics to evaluate a spatial simulation of Russian wheat aphid ( Homoptera: Aphididae) movement behavior on preferred and non-preferred hosts. Environ Entomol 21: 1271–1282
Schotzko DJ, Quisenberry SS (1999) Pea leaf weevil ( Coleoptera: Curculionidae) spatial distribution in peas. Environ Entomol 28: 477–484
Slagell KD (2000) Awareness, flight guidance and reliability: impact of technology upon the sterile insect technique. In: Keng-Hong T (ed) Area-wide control of fruit flies and other insect pests. Penerbit University Sains Malaysia, Pulau Pinang, pp 345–348
Sokal RR, Oden NL (1978a) Spatial autocorrelation in biology. 1. Methodology. J Linn Soc 10: 199–228
Sokal RR, Oden NL (1978b) Spatial autocorrelation in biology. 2. Some biological implications and four applications of evolutionary and ecological interest. J Linn Soc 10: 229–249
Sokal RR, Oden NL (1991) Spatial autocorrelation analysis as an inferential tool in population genetics. Am Nat 138: 518–521
Stinner RE, Barfield CS, Simac JL, Dohse L (1983) Dispersal and movement of insect pests. Annu Rev Entomol 28: 319–335
Taylor LR (1984) Assessing and interpreting the spatial distribution of insect populations. Annu Rev Entomol 29: 321–357
Welch SM, Croft BA, Brunner JF, Michels MF (1978) PETE: an extension phenology modeling system for management of multi-species pest complex. Environ Entomol 7: 487–494
Welch SM, Croft BA, Michels MF (1981) Validation of pest management models. Environ Entomol 10: 425–432
Williams III L, Schotzko DJ, McCaffrey JP (1992) Geostatistical description of the spatial distribution of Limonius californicus ( Coleoptera: Elateridae) wireworms in the Northwestern United States, with comments on sampling. Environ Entomol 21: 983–995
Winder L, Perry JN, Holland JM (1999) The spatial and temporal distribution of the grain aphid Sitobion avenae in winter wheat. Entomol Exp Appl 93: 277–290
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Nestel, D., Carvalho, J., Nemny-Lavy, E. (2004). The Spatial Dimension in the Ecology of Insect Pests and Its Relevance to Pest Management . In: Horowitz, A.R., Ishaaya, I. (eds) Insect Pest Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07913-3_3
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DOI: https://doi.org/10.1007/978-3-662-07913-3_3
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