The Forest Planner enables landowners in Oregon and Washington to find, map, and design custom forest management scenarios for their properties. Users can select the property and forest stands that they want to examine, enter information about the tree species and forest types represented, and select from a variety of management scenarios.
The Forest Planner enables landowners to visualize alternative forest management scenarios for their properties and their effect on variables including timber stocking and yields, carbon storage, and fire and pest hazard ratings.
The National Climate Change Viewer allows users to visualize projected changes in climate (maximum and minimum air temperature and precipitation) and the water balance (snow water equivalent, runoff, soil water storage and evaporative deficit) for any state, county and USGS Hydrologic Units (HUC) in the continental United States. USGS HUCs are hierarchical units associated with watersheds and analogous to states and counties that span multistate areas. HUC levels 2, 4 and 8 are used in the viewer.
This viewer allows users to visualize past and projected changes in climate and the water balance for any state, county and USGS Hydrologic Unit.
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.
Stream data are needed to enable managers to understand baseline conditions, historic trends, and potential impacts of climate change on stream temperature and flow, and in turn on aquatic species in freshwater ecosystems.
NorEaST is being developed to provide a coordinated, multi-agency regional web portal to compile, store, map, and distribute continuous stream temperature locations and data across the Northeastern U.S.
SNAP provides several platforms for looking at historic climate trends and climate projections in Alaska and western Canada:
1. Downloadable datasets for historic climate data and projected climate data (temperature and precipitation).
2. Interactive map - provides climate projections for Alaska and western Canada for each decade through 2100. User can choose what variables, time periods, seasonal averages, and emissions scenarios they’d like to view.
SNAP provides climate projections (temperature and precipitation) for Alaska and western Canada, using an ensemble of climate models (GCMs) and 3 emissions scenarios. Information is presented in a variety of formats.
The Global Carbon Atlas gives audiences a number of ways to visualize carbon dioxide emissions and flux data, and to compare between countries and regions over time (1960 – 2012). Its products are grouped into three main categories that are intended for users with varied technical backgrounds. All products are based on current datasets and models contributed by scientists and research institutions (see Contributors).
The Global Carbon Atlas lets users explore, visualize and interpret national to global carbon emissions from both human activities and natural processes.
ForWarn is a satellite-based monitoring and assessment tool that provides an overview of potential forest disturbances. ForWarn produces national maps (lower 48 states) every eight days, using NASA MODIS (Moderate Resolution Imaging Spectroradiometer) satellite imagery to recognize and track changes in vegetation health and condition. Current satellite "greenness" is compared with expected or maximum greenness seen over a historical baseline period.
ForWarn is a satellite-based monitoring and assessment tool that provides an overview of potential forest disturbances for the conterminous U.S.
WaSSI is an integrated, process-based model that can be used to project the effects of forest land cover change, climate change, and water withdrawals on river flows, water supply stress, and ecosystem productivity (i.e. carbon dynamics). WaSSI operates on a monthly time step at the HUC-4 (8-digit HUC) watershed scale (see more on HUCs) and across Mexico at the 0.5 degree scale.
WaSSI is a model that can be used to project the effects of forest land cover change, climate change, and water withdrawals on river flows, water supply stress, and ecosystem productivity. Users can define custom scenarios to run through the model's online interface.