New Horizons in Insect Science Towards Sustainable Pest Management

420 B. B. Fand et al. Introduction Agricultural productivity is substantially lim- ited by the pest damage at various stages of ...

Temperature-Based Phenology Modeling and GIS-Based Risk Mapping 421 relative humidity (RH) (Gautam 2008 ). About 2–3 gravid fema ...

422 B. B. Fand et al. Spatial Simulation and Risk Mapping in Geographic Information System (GIS) Climate Data Climate data requi ...

Temperature-Based Phenology Modeling and GIS-Based Risk Mapping 423 generation lengths for each Julian day as shown in the follo ...

424 B. B. Fand et al. 1c, and 1d). The first-instar nymphs were highly sensitive to the temperature extremes; however, later ins ...

Temperature-Based Phenology Modeling and GIS-Based Risk Mapping 425 to extend its geographic distribution and spread, especially ...

426 B. B. Fand et al. Within Year Variability of Pest Population Daily weather station data from two locations across the cotton ...

Temperature-Based Phenology Modeling and GIS-Based Risk Mapping 427 Fig. 6 Change in the generation index (GI) of P. solenopsis ...

428 B. B. Fand et al. due to climate change in these areas is predicted to increase the finite rate of increase of P. solenopsis ...

Temperature-Based Phenology Modeling and GIS-Based Risk Mapping 429 In India, P. solenopsis is reported from areas where the map ...

430 B. B. Fand et al. with earlier reports (Vennila et al. 2010 , 2011 ; Nagrare et al. 2011 ). Dhawan et al. ( 2007 ) re- corde ...

Temperature-Based Phenology Modeling and GIS-Based Risk Mapping 431 IPCC (2007) Climate change- impacts, adaptation and vulnerab ...