Maps of forest species-climate profiles were developed to help predict how forests, plant communities, and species may change on the landscape in response to climate change. Each species map depicts a ‘viability score’, which is an index on the interval zero to one that indicates how consistent the climate at a location is with the contemporary occurrence of a species. A low score at a given point in time or space indicates that the species does not occur (or very rarely occurs) in climates like those depicted at that location.
These maps provide information on where suitable future climate may be located for specific tree species under different climate scenarios.
Rising sea levels are being caused by a change in the volume of the world's oceans due to temperature increase, deglaciation (uncovering of glaciated land because of melting of the glacier), and ice melt. This data viewer can provide a preliminary look at sea level rise and how it might affect coastal resources across the United States (with the exception of Alaska and Louisiana). Data and maps can be used at several scales to help gauge trends and prioritize actions for different scenarios.
This data viewer can provide a preliminary look at sea level rise and how it might affect coastal resources across the United States (with the exception of Alaska and Louisiana). Data and maps can be used at several scales to help gauge trends and prioritize actions for different scenarios.
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.
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.
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.
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.
Data Basin is a science-based mapping and analysis platform that supports learning, research, and sustainable environmental stewardship. The Climate Center is powered by Data Basin, and centralizes climate change-related datasets, maps and findings. Tools are provided to visualize, analyze, and communicate vulnerabilities, trends or predicted future scenarios at local and regional scales.
The Data Basin Climate Center centralizes climate change-related datasets, maps and findings. Tools are provided to visualize, analyze, and communicate vulnerabilities, trends or predicted future scenarios at multiple scales.
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.