The Water Erosion Prediction Project (WEPP), is a physically-based soil erosion prediction technology. WEPP has a number of customized interfaces developed for common applications such as roads, managed forests, forests following wildfire, and rangelands. It also has a large database of cropland soils and vegetation scenarios. The WEPP model is a distributed parameter, continuous simulation model, and is able to describe a given erosion concern in great detail for an experienced user.
The WEPP model consists of multiple applications that can estimate erosion and sediment processes on hillslopes and small watersheds, taking into account climate, land use, site disturbances, vegetation, and soil properties.
TACCIMO is a web-based information delivery tool that connects climate change science with forest management and planning needs. Science content in TACCIMO consists of quotations from peer-reviewed climate change literature and geospatial projections of future climate and resulting changes in ecosystems. USFS forest plan components are included to connect science with planning language.
The Template for Assessing Climate Change Impacts and Management Options (TACCIMO) is a web-based tool and information service that provides science to support integration of climate change science into land management planning.
The Fish Crossing software is designed to assist engineers, hydrologists and fish biologists in the evaluation and design of culverts for fish passage. It may be used as a component of a management approach to help fish species respond to climate changes.
The SST is currently experiencing problems. Developers are working on getting the tool operational again (2/24/15).
The Seedlot Selection Tool (SST) is a web-based decision-support tool designed to help forest managers match seedlots (seed collections from a known origin) with planting sites based on climatic information.
The Seedlot Selection Tool (SST) can help users match seedlots (seed collections from a known origin) with appropriate planting sites based on climatic information.