WWETAC is committed to providing tools to visualize wildland threats and the resources they potentially affect using the latest geospatial technology. The TRM family of web maps and tools can be used to explore the latest environmental threat geospatial layers, or to focus on a specific topic such as phenology, seed zones, or climate change.
Selection of seed sources that are well adapted to a specific site is essential in restoration project. Using climate data and common garden studies, seed zones have bee developed to help in the selection of sit-adapted seed sources. Use the above link to access the web map and associated GIS data.
This web map displays the current "greeness" of the vegetation across the conterminous US using products based on eMODIS NDVI data. These layers are updated weekly to provide a near-real-time assessment of land surface phenology. NWS Weekly percipitation estimates are also displayed.
ForWarn II provides near-real-time tracking of vegetation changes across landscapes in the United States. Useful for both monitoring disturbance events and year-to-year variability, derived products can also be used to develop insights into seasonal and inter-annual dynamics. Developed and maintained by WWETAC's sister center, the Eastern Forest Environmental Threat Assessment Center (EFETAC).
Climate change data models typically use global atmospheric circulation models and other inputs that limit their spatial resolution, making these products difficult to interpret at larger scales. To address this issue, global climate change data have been downscaled by the Climate Impacts Group. These downscaled products are 5 km in resolution and are presented in this web map for the western US.
USDA APHIS researchers have developed a risk of gypsy moth establishment model using BioSIM software; inputs include life history of the gypsy moth, historic climate records, and available host. This web map shows the establishment probability for OR with 1 = high probability, 0 = low probability for the years 2010 and 2012.
Preisler et al 2017 developed a tree mortality forecast model for California based on bark beetle attack and weather history along with site characteristics (including host, location, fire history and climate). This model was expanded to include Oregon and Washington and the forecasts for 2017-2019 are presented in this story map. The 2020 forecast for Oregon and Washington is included as a part of the 2019 R6 Forest Health Protection Aerial Survey Highlights.
Intersecting wildland threat spatial data can provide meaningful information to policymakers, but doing so in a valid manner is critical. This map presents intersected threat data for the Northwestern US developed using a novel neighborhood analysis technique. Future research will extend these methods to the conterminous US.
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