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.
Climate Wizard encompasses two distinct tools that are based on the same data, but have different functionalities: Climate Wizard and Climate Wizard Custom. They are web based tools that enable audiences with a range of technical abilities to view and access current climate change information, and visualize observed and expected temperature and precipitation trends anywhere on Earth. Users can:
ClimateWizard enables technical and non-technical audiences to access climate change information and visualize climate impacts worldwide. It provides world maps for historic temperature and rainfall, in addition to future projections of temperature and rainfall. Maps are available for download.
Fuelbeds vary widely in their physical attributes, potential fire behavior, and fire effects. The Fuel Characteristic Classification System (FCCS) was designed to represent the diversity of fuels found throughout the United States and predict their relative fire hazard. It consists of a large database of physical parameters that describe the abundance, physical character, and arrangement of wildland fuelbeds.
FCCS quantifies and classifies the structural and geographical diversity of wildland fuels in the United States and predicts their relative fire hazard. Current versions also predict surface fire behavior and quantify carbon stores for each calculated fuelbed.
i-Tree is a suite of several different applications that focus on the benefits of urban trees, however this page will focus on tools that specifically address the carbon and greenhouse gas emissions benefits of urban trees, including i-Tree Eco, i-Tree Streets, i-Tree Vue, i-Tree Canopy and
i-Tree is a peer-reviewed software suite that allows users to assess the benefits provided by urban trees. Some applications give estimates of the benefits that trees provide related to greenhouse gas mitigation and building energy savings
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 SAVS uses an online questionnaire with 22 criteria to predict vulnerability or population response of species to provide a framework for assessing vulnerability to future climate change. The 22 multiple-choice questions are grouped into four categories by theme: habitat, physiology, phenology and biotic interactions. The questionnaire is completed using information gathered from published materials, personal knowledge, or expert consultation.
SAVS uses an online questionnaire with 22 criteria to predict vulnerability or resilience of an individual species to future climate change. Numerical scores indicating vulnerability or resilience for terrestrial vertebrate species are generated.
This application from NASA provides datasets and a viewer for geographic data that support large-scale carbon inventory. The datasets combine NASA remote sensing technology, ecosystem process modeling, and field-based measurements to characterize impacts on the carbon cycle.
The CASA Global CQUEST application provides datasets and a geographical data viewer that support large-scale carbon inventory. Users can display global data on net primary productivity, net ecosystem productivity, and other variables interactively as a map and obtain data values in tabular format.