Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree day (GDD) thresholds for key points in species life cycles. These key points typically represent life cycle stages when management actions are most effective. These maps are updated daily and available 6 days in the future. We forecast crawler emergence in pine needle scale (Chionaspis pinifoliae) at 298-448F growing degree days (base 50F, start date: March 1, simple average GDD method). Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and 2016-present through USA-NPN Geo Web Services (available upon request). Pine needle scale insects pierce pine needles and consume sap. Treatments are often applied when crawlers emerge from their eggs and before they develop their protective waxy coating.

For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

The USA National Phenology Network has available a series of gridded products enabling researchers to analyze daily Accumulated Growing Degree Days (AGDD) from 2016 through the current year, and compare these values to long term averages using the 1991-2020 climate normal period. Heat accumulation is commonly used as a way of predicting the timing of phenological transitions in plants and animals. Products generated by the USA-NPN begin accumulation on January 1 and use either a 32F or 50F base temperature.The data are accessible via the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and the USA-NPN Geoserver (user access facilitated by the Geoserver Request Builder: https://www.usanpn.org/geoserver-request-builder).For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree day (GDD) thresholds for key points in species life cycles. These key points typically represent life cycle stages when management actions are most effective. Magnolia scale is a pest native to the Eastern United States that affects magnolia trees and tulip trees. They cause stress to their host trees by removing sap which can lead to yellowing leaves, twig dieback, and even death.We forecast crawler emergence in magnolia scale (Neolecanium cornuparvum) at 1938F growing degree days (base 50F, start date: January 1, double sine GDD method). Crawlers emerge after hatching internally from adults in late summer into early fall. Treatments are often applied when crawlers emerge from their eggs and before they develop their protective waxy coating. These maps are updated daily and available 6 days in the future. Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations). For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree day (GDD) thresholds for key points in species life cycles. These key points typically represent life cycle stages when management actions are most effective. Eastern tent caterpillars are a native moth and while they can defoliate trees, the trees rarely die as a consequence.We forecast caterpillar emergence in eastern tent caterpillar (Malacosoma americanum) at 90-190F growing degree days (base 50F, start date: March 1, simple average GDD method). These maps are updated daily and available 6 days in the future. Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations). For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree day (GDD) thresholds for key points in species life cycles. These key points typically represent life cycle stages when management actions are most effective. Pine needle scale insects pierce pine needles and consume sap. Treatments are often applied when crawlers emerge from their eggs and before they develop their protective waxy coating.We forecast crawler emergence in pine needle scale (Chionaspis pinifoliae) at 298-448F growing degree days (base 50F, start date: March 1, simple average GDD method). These maps are updated daily and available 6 days in the future. Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations). For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

The USA-NPN winter wheat development forecast predicts the developmental stage of winter wheat from emergence through seed development in real-time. The USA-NPN winter wheat development forecast is based on the CERES-wheat model (Ritchie 1991), which predicts developmental stage using temperature, sun angle, and varietal inputs. The USA-NPN winter wheat development forecast approximates across varieties to provide a general forecast for winter wheat development and may reflect developmental stage in some varieties more closely than others. Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations).

For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree day (GDD) thresholds for key points in species life cycles. These key points typically represent life cycle stages when management actions are most effective. These maps are updated daily and available 6 days in the future. We forecast caterpillar emergence in bagworm (Thyridopteryx ephemeraeformis) at 600-900F growing degree days (base 50F, start date: March 1, simple average GDD method). Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and 2016-present through USA-NPN Geo Web Services (available upon request). Bagworm caterpillars defoliate over 50 families of evergreen and deciduous trees and shrubs, primarily arborvitae, juniper, pine, and spruce.

For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree day (GDD) thresholds for key points in species life cycles. These key points typically represent life cycle stages when management actions are most effective. These maps are updated daily and available 6 days in the future. We forecast adult emergence in apple maggot (Rhagoletis pomonella) at 900-1200F growing degree days (base 50F, start date: March 1, simple average GDD method). Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and 2016-present through USA-NPN Geo Web Services (available upon request). Apple maggot larvae cause damage to ripening fruit and are best controlled when adults begin to emerge.

For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree day (GDD) thresholds for key points in species life cycles. These key points typically represent life cycle stages when management actions are most effective. These maps are updated daily and available 6 days in the future. We forecast adult emergence in lilac borer (Podosesia syringae) at 500-1300F growing degree days (base 50F, start date: January 1, double sine GDD method). Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and 2016-present through USA-NPN Geo Web Services (available upon request). Adult lilac borers overwinter in the heartwood of trees, then emerge in early summer. Certain control measures are most effective when adults emerge.

For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.

Pheno Forecast maps predict key life cycle stages in a range of species to improve conservation and management outcomes. For insect pest species, Pheno Forecasts are based on published growing degree day (GDD) thresholds for key points in species life cycles. These key points typically represent life cycle stages when management actions are most effective. These maps are updated daily and available 6 days in the future. We forecast caterpillar emergence in winter moth (Operophtera brumata) at 20-350F growing degree days (base 50F, start date: January 1, simple average GDD method). Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and 2016-present through USA-NPN Geo Web Services (available upon request). The caterpillars can defoliate certain species of deciduous trees. Some control measures are most effective when caterpillars emerge.

For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.