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PestWatch: www.pestwatch.psu.edu Initiated for IPM in sweet corn with PMAP and NE IPM funding Sustained for ~14 years

PestWatch: www.pestwatch.psu.edu Initiated for IPM in sweet corn with PMAP and NE IPM funding Sustained for ~14 years. Shelby Fleischer sjf4@psu.edu. a human infrastructure. Automated file input/output . D. Handley, Maine IPM Program. A. Seaman, NY IPM Program.

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PestWatch: www.pestwatch.psu.edu Initiated for IPM in sweet corn with PMAP and NE IPM funding Sustained for ~14 years

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  1. PestWatch: www.pestwatch.psu.edu Initiated for IPM in sweet corn with PMAP and NE IPM funding Sustained for ~14 years Shelby Fleischer sjf4@psu.edu

  2. a human infrastructure Automated file input/output D. Handley, Maine IPM Program A. Seaman, NY IPM Program R. Hazzard, Umass IPM Program 15-20 Extn. Educators in PA Clickable Maps K. Hollstrom, NJ IPM Program J. Whalon, DE IPM Program A. Herbert and T. Kuhar in Virginia R. Bean, MD Dept. of Ag

  3. Center for Environmental Informatics:www.cei.psu.eduWeb Mapping Architecture…Additional Disease Forecasting and Phenology Applications Field Observations PostgreSQL Web Tool PostGIS Geoserver Model Web Services GIS

  4. Pestwatch version 1: ~ 2001-2006 User-controls Temporal dynamics

  5. Hartstack Scentry cloth Maryland Blacklight • Geographic expansion : NC IPM funding: • ~660 sites • >40,000 data entries … merging into a semi-continental spatio-temporal database www.pestwatch.psu.edu

  6. Pestwatch version 2 circa 2007 toggle legend categories Temporal and spatial data link User-adjusted ‘sliding’ legend linked to temporal graphic User-adjusted time-bar or movie User-adjusted geo-extents

  7. Participation >29 states

  8. Third Expansion: Western bean cutworm group joined in 2010 Locations of initialized sites in 2010

  9. The human infrastructure ~ 80% of the resources needed is in the data acquisition! PestWatch Needs: A field infrastructure Entomologist field-data coordinator Integrated research

  10. Goals • Developing, cybersharing, and visualizing spatial-temporal databases, at full geographic extents • Integrated Research for advancing data quality, and answering management and ecological questions • Education, and modularization, towards localized spatial-temporal databases

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