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.
This peer-reviewed report is a thorough and comprehensive overview of how climate change is expected to affect the United States. It includes analyses of impacts on seven sectors – human health, water, energy, transportation, agriculture, forests, and ecosystems. The report also assesses U.S. regional impacts and outlines some climate adaptation efforts.
Lizards are expected to be an early warning system of impending change in vegetation communities, and a useful tool in predicting adaptive management needs. This study is conducted in the area with the highest diversity of lizards in the USA, situated at an ecotone between two deserts and a mountain range. Changes in the lizard community are expected sooner in this ecotone than in distinct habitat types, and are also expected to precede observed changes in vegetation.