- Oregon IPM Committee
- Outreach & Newsletter
- PNWIMC 2021
Since 1996, Oregon IPM Center has been developing and maintaining a weather and climate driven decision support website for pest management and related agricultural needs. We now host nearly 150 predictive pest and disease models to help growers know when and where to act.
Oregon IPM Center has been developing and maintaining a weather and climate driven decision support website for pest management and related agricultural needs for nearly 25 years. Beginning with a small number of insect models, this program has grown into a complex system of models, weather networks and advanced features. As of June 2017, there are over 140 pest and crop models (see details below) integrated with over 29,000 real-time weather stations from hundreds of weather networks across the United States. These searchable models integrate weather forecasts from several sources.
Degree-Day and Prediction Tools
Use this tool to locally predict key life stages for insect pests, weeds, and diseases and increase the efficacy of management activities.
This quick reference table shows accumulated degree-days for different areas of the PNW, with a 41°F base, with comparisons to the two previous years.
This advanced tool allows users to create regional and statewide maps with custom degree-day parameters such as max/min development temps, biofixes for any year from 2002 to the present.
Disease Risk Prediction Apps: Pathogen-specific risk prediction tools optimized for mobile use.
Disease Risk and Alert Maps
Currently, we have 15 invasive insect models, 47 insect pest models, 32 crop models, 24 disease risk models, 5 weed models, 2 tree fruit dormancy (chilling requirement) models, 2 predator mite models, 1 endangered species (a butterfly) model, 3 pesticide drift model prediction aids, a soil solarization model (currently for 2 species of Phytophthora), a grass seed stem rust simulation model, and 1 mating disruption dispenser model in the system, along with generic degree-day and plant disease risk models for exploratory research needs. Weather data is obtained in real-time from 100’s of weather networks totaling over 29,000 weather stations.
Based upon requests made by growers, extension, researchers, and others, we select “best available” research and field monitoring data to build new models for the system, and independently validate the models whenever possible. The models are then readily added to the modular, open-source software system.
Most weather data is public and free for non-profit use as supplied by the Utah MesoWest system. We also custom-integrate several agricultural weather networks that are not part of Mesowest. There is no singular state-run agricultural weather network for the state of Oregon at this time, and Oregon IPM Center has no actual weather station hardware maintenance to perform. This is undertaken by participating and cooperating networks, including:
AGRIMET (Bureau of Reclamation, US Dept. of the Interior), AgWeatherNET (Washington State University), ADCON (A private weather station hardware manufacturer), CIMIS (California Irrigation Management Information System), California PestCast (Univ. California crop disease management network), ASOS/METAR (Automated Surface Observing System, using METAR formatted data), RAWS (Remote Automated Weather Station, run by several US Federal Agencies), APRSWXNET/CWOP (Automatic Position Reporting System Weather Network/Citizen Weather Observer Program)
“Added Value” Features
There are a number of innovative features such as:
These features are built using funding from purpose-driven grants (largely from USDA NIFA, USDA SARE, and USDA-APHIS-PPQ), and priorities are determined through feedback from growers, researchers, extension agents, and other end-users who request models and features to support their pest management production, research or extension needs.
The MyPest Page tool is programed to be able to integrate new models and features, this prototype feature provides an entry point for IPM, whereby multiple insect pests, diseases, weeds, crops, and beneficial organisms can be modeled from a single web-based user interface.
Training and outreach
This system is regularly demonstrated to growers at events around the PNW region, and several “webinar” tutorials are on the website that demonstrate how the tools can be used. Trade publications often highlight the system as it applies to one or a few models. One-on-one training via the phone remains a good way to initiate a new user to use the website to meet their particular needs.