Pest monitoring and forecasting.
暂无分享,去创建一个
[1] A. Uludag,et al. The importance of forecasting and warning systems in implementation of integrated pest management in apple orchards in Turkey , 2007 .
[2] M. Holyoak,et al. Effects of Moonlight and Meteorological Factors on Light and Bait Trap Catches of Noctuid Moths (Lepidoptera: Noctuidae) , 1997 .
[3] M. D. Pathak. Ecology of Common Insect Pests of Rice , 1968 .
[4] T. Lewis. Pest monitoring to aid insecticide use , 1981 .
[5] D. R. Ring,et al. Degree-Day Models for Emergence and Development of the Rice Water Weevil (Coleoptera: Curculionidae) in Southwestern Louisiana , 2004 .
[6] Michael Bange,et al. A handheld decision support system to facilitate improved insect pest management in Australian cotton systems , 2004 .
[7] P. L. Shaffer. Prediction of Variation in Development Period of Insects and Mites Reared at Constant Temperatures , 1983 .
[8] R. M. Feldman,et al. Multiple-cohort Approach for Simulating Development of Insect Populations under Variable Temperatures , 1985 .
[9] Zhiyong Xu,et al. Application of GIS technology in monitoring and warning system for crop diseases and insect pests , 2008, Geoinformatics.
[10] J. Bowden. An analysis of factors affecting catches of insects in light-traps , 1982 .
[11] Dennis D. Calvin,et al. A developmental database to support insect phenology models , 2007 .
[12] Leon G. Higley,et al. DEGDAY: a program for calculating degree-days, and assumptions behind the degree-day approach , 1986 .
[13] W. C. Hoffmann,et al. Remote Sensing and GIS Applications for Precision Area-Wide Pest Management: Implications for Homeland Security , 2008 .
[14] M. Matsumura,et al. Real-time prediction system for migration of rice planthoppers Sogatella furcifera (Horvath) and Nilaparvata lugens (Stal) (Homoptera : Delphacidae) , 2005 .
[15] S. Dutta,et al. Modelling regional level spatial distribution of aphid (Lipaphis erysimi) growth in Indian mustard using satellite-based remote sensing data , 2008 .
[16] M. Mugglestone,et al. Spatial distribution of pest insects in oilseed rape: implications for integrated pest management , 2003 .
[17] D. Sumerford,et al. Impact of Trap Design, Windbreaks, and Weather on Captures of European Corn Borer (Lepidoptera: Crambidae) in Pheromone-Baited Traps , 2006, Journal of economic entomology.
[18] H. Danks. Measuring and reporting life-cycle duration in insects and arachnids , 2000 .
[19] Z. S. Ma,et al. Survival analysis approach to insect life table analysis and hypothesis testing: with particular reference to Russian wheat aphid (Diuraphis noxia (Mordvilko)) populations , 2009, Bulletin of Entomological Research.
[20] Joyce F. Strand,et al. Some agrometeorological aspects of pest and disease management for the 21st century , 2000 .
[21] K. Boote,et al. Coupling Pests to Crop Growth Simulators to Predict Yield Reductions , 1983 .
[22] Michael P. Bange,et al. SIRATAC and CottonLOGIC: persevering with DSSs in the Australian cotton industry , 2002 .
[23] S. Leather. Overwintering in six arable aphid pests: a review with particular relevance to pest management , 1993 .
[24] H. Wolda,et al. Fluctuations in Abundance of Tropical Insects , 1978, The American Naturalist.
[25] Y. S. Ramakrishna,et al. Spectral characteristics of peanut crop infected by late leafspot disease under rainfed conditions , 2006, SPIE Asia-Pacific Remote Sensing.
[26] R. W. Sutherst,et al. Estimating vulnerability under global change: modular modelling of pests , 2000 .
[27] F. Johnson,et al. The growth rate of E. coli in relation to temperature, quinine and coenzyme. , 1946, Journal of cellular and comparative physiology.
[28] S. Chander,et al. Simulating rice stem borer, Scirpophaga incertulas Wlk., damage for developing decision support tools , 2008 .
[29] K. Phelps,et al. Monte Carlo simulation method for forecasting the timing of pest insect attacks , 1993 .
[30] G. Varley,et al. Recent Advances in Insect Population Dynamics , 1970 .
[31] M. Saunders,et al. Computer-Assisted Decision-Making as Applied to Entomology , 1987 .
[32] L. Butler,et al. Effects of weather conditions and trap types on sampling for richness and abundance of forest macrolepidoptera , 1999 .
[33] Min Zhu,et al. Simulation of the Long Range Migration of Brown Planthopper, Nilaparvata lugens (Stal), by Using Boundary Layer Atmospheric Model and the Geographic Information System , 2000 .
[34] Defeng Zhu,et al. Structure and validation of RICEPEST, a production situation-driven, crop growth model simulating rice yield response to multiple pest injuries for tropical Asia , 2002 .
[35] S. Worner. Performance of Phenological Models Under Variable Temperature Regimes: Consequences of the Kaufmann or Rate Summation Effect , 1992 .
[36] J. Régnière. A METHOD OF DESCRIBING AND USING VARIABILITY IN DEVELOPMENT RATES FOR THE SIMULATION OF INSECT PHENOLOGY , 1984, The Canadian Entomologist.
[37] Ronald E. Stinner,et al. AN ALGORITHM FOR TEMPERATURE-DEPENDENT GROWTH RATE SIMULATION , 1974, The Canadian Entomologist.
[38] Thierry Hance,et al. Impact of extreme temperatures on parasitoids in a climate change perspective. , 2007, Annual review of entomology.
[39] Yang Cm,et al. Spectral characteristics of rice plants infested by brown planthoppers. , 2001 .
[40] J R Riley,et al. REMOTE SENSING IN ENTOMOLOGY , 1989 .
[41] Á. Guerrero,et al. Optimum timing of insecticide applications against diamondback moth Plutella xylostella in cole crops using threshold catches in sex pheromone traps. , 2001, Pest management science.
[42] R. Stinner,et al. Time Versus Rate in Parameter Estimation of Nonlinear Temperature-Dependent Development Models , 1991 .
[43] M. Murakami,et al. Effects of mobility on daily attraction to light traps: comparison between lepidopteran and coleopteran communities , 2008 .
[44] Kongming Wu,et al. Seasonal Migration of Helicoverpa armigera (Lepidoptera: Noctuidae) Over the Bohai Sea , 2009, Journal of economic entomology.
[45] Z. Ma,et al. A survival-analysis-based simulation model for Russian wheat aphid population dynamics , 2008 .
[46] Dennis S. Hill,et al. Pests of Crops in Warmer Climates and Their Control , 2008 .
[47] R. Sutherst,et al. From CLIMEX to PESKY, a generic expert system for pest risk assessment , 1991 .
[48] Ary A. Hoffmann,et al. Predicting the effects of climate change on natural enemies of agricultural pests , 2010 .
[49] W. E. Wallner. Factors Affecting Insect Population Dynamics: Differences Between Outbreak and Non-Outbreak Species , 1987 .
[50] K. Phelps,et al. A simulation model for forecasting the timing of attacks of Delia radicum on cruciferous crops1 , 1991 .
[51] L. Birch. The Role of Weather in Determining the Distribution and Abundance of Animals , 1957 .
[52] S. C. Hoyt,et al. An Analytic Model for Description of Temperature Dependent Rate Phenomena in Arthropods , 1976 .
[53] R. Hopkinson,et al. Air trajectory model applied to an in-depth diagnosis of potential diamondback moth infestations on the Canadian Prairies , 2010 .
[54] Eileen M. Cullen,et al. Quantifying trade-offs between pest sampling time and precision in commercial IPM sampling programs. , 2000 .
[55] H. Nilsson. Remote sensing and image analysis in plant pathology. , 1995, Annual review of phytopathology.
[56] William D. Batchelor,et al. Simulation of multiple species pest damage in rice using CERES-rice , 1995 .
[57] Claire Jarvis,et al. Risk assessment for nonindigenous pests: 1. Mapping the outputs of phenology models to assess the likelihood of establishment , 2001 .
[58] G. Baker,et al. A tale of two trapping methods: Helicoverpa spp. (Lepidoptera, Noctuidae) in pheromone and light traps in Australian cotton production systems , 2010, Bulletin of Entomological Research.
[59] Mahalakshmi.,et al. Monitoring of cotton bollworms through pheromone traps and impact of abiotic factors on trap catch , 2008 .
[60] P. Sharpe,et al. Reaction kinetics of poikilotherm development. , 1977, Journal of theoretical biology.
[61] H. Wolda. Trends in abundance of tropical forest insects , 2004, Oecologia.
[62] P. Sharpe,et al. Distribution model of organism development times. , 1977, Journal of theoretical biology.
[63] A. E. A. Stephens,et al. Thrips palmi - potential survival and population growth in New Zealand. , 2004 .
[64] R. F. Morris,et al. THE DEVELOPMENT OF LIFE TABLES FOR THE SPRUCE BUDWORM , 1954 .
[65] S. Chander,et al. Simulation of rice planthopper damage for developing pest management decision support tools , 2010 .
[66] I. T Harman,et al. Insect monitoring radar: remote and network operation , 2002 .
[67] Philipp Kirsch,et al. Sex Pheromones and Their Impact on Pest Management , 2010, Journal of Chemical Ecology.
[68] K. Heong,et al. A simulation model for the population dynamics of rice leaf-folders (Lepidoptera: Pyralidae) and their interactions with rice , 1992 .
[69] R. Bugiani,et al. Forecasting models and warning services in Emilia‐Romagna (Italy) , 1996 .
[70] D. Mott. CHAPTER 7 – The Analysis of Determination in Population Systems , 1966 .
[71] R. Stinner,et al. SIMULATION OF TEMPERATURE-DEPENDENT DEVELOPMENT IN POPULATION DYNAMICS MODELS , 1975, The Canadian Entomologist.
[72] S. Chander,et al. Development and Application of Crop Growth Simulation Modelling in Pest Management , 2007 .
[73] R. F. Morris. The Dynamics of Epidemic Spruce Budworm Populations , 1963 .
[74] P. Odiyo. Forecasting Infestations of a Migrant Pest: The African Armyworm Spodoptera exempta (Walk.) , 1979 .
[75] Carl J. Tilbury,et al. Gypsy moth, Lymantria dispar, outbreak in northeast London, 1995 – 2003 , 2004 .
[76] A. Knutson,et al. A Degree-Day Model Initiated by Pheromone Trap Captures for Managing Pecan Nut Casebearer (Lepidoptera: Pyralidae) in Pecans , 2010, Journal of economic entomology.
[77] Andrew M. Liebhold,et al. Population ecology of insect invasions and their management. , 2008, Annual review of entomology.
[78] Miroslav Trnka,et al. European Corn Borer life stage model: Regional estimates of pest development and spatial distribution under present and future climate , 2007 .
[79] J. Strazanac,et al. Comparison of Sampling Techniques Used in Studying Lepidoptera Population Dynamics , 2004 .
[80] T. Lewis. Britain's Pest Monitoring Network for Aphids and Moths1 , 1980 .
[81] N. Colbach. Modelling cropping system effects on crop pest dynamics : How to compromise between process analysis and decision aid , 2010 .
[82] P. Sharpe,et al. Non-linear regression of biological temperature-dependent rate models based on absolute reaction-rate theory. , 1981, Journal of theoretical biology.
[83] V. K. Dadhwal,et al. Predicting aphid (Lipaphis erysimi) growth in oilseed Brassica using near surface meteorological data from NOAA TOVS—a case study , 2007 .
[84] B. Hau,et al. Forecasting migration of cereal aphids (Hemiptera: Aphididae) in autumn and spring , 2009 .
[85] S. Chander,et al. A degree‐day simulation model for the population dynamics of the rice bug, Leptocorisa acuta (Thunb.) , 2008 .
[86] D. Pedgley. Managing migratory insect pests—a review , 1993 .
[87] Takaya Ikemoto,et al. Intrinsic Optimum Temperature for Development of Insects and Mites , 2005 .
[88] J. Byers,et al. Potential of Mass Trapping for Long-Term Pest Management and Eradication of Invasive Species , 2006, Journal of economic entomology.
[89] P. Sharpe,et al. Modeling Distributions of Insect Development Time: a Literature Review and Application of the Weibull Function , 1984 .
[90] D. Allen,et al. Monitoring Populations of Saddled Prominent (Lepidoptera: Notodontidae) with Pheromone-Baited Traps , 2007, Journal of economic entomology.
[91] S. Turnipseed,et al. Ecology and Management of Soybean Arthropods , 1987 .