Study confirms fossil footprints at White Sands National Park date to the Last Glacial Maximum
National Uncrewed Systems Office
Geosciences and Environmental Change Science Center
The Geosciences and Environmental Change Science Center (GECSC) delivers critical science that supports Administrative and Departmental priorities. Through geologic mapping and Earth system research, GECSC provides essential data on the nation’s geologic resources, landscape dynamics, and surface processes—informing resource development, hazard mitigation, and land-use planning.
News
Earth Science Matters - Vol. 21 | Issue 1
Earth Science Matters - Vol. 21 | Issue 1
USGS Unveils New National Geologic Map
USGS Unveils New National Geologic Map
The Next Fueling Discovery Webinar Takes Place May 29
The Next Fueling Discovery Webinar Takes Place May 29
Publications
Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA
Mountain forests and woodlands in semiarid regions of the world are threatened by climatic change and other human impacts. In the southwestern USA, climate and culturally driven changes to the structure and fire regimes of dry coniferous forests over recent centuries are well documented by tree-ring archives. However, the roles of climate and people as drivers of millennial-scale changes...
A new inventory and conservation assessment of United States islands A new inventory and conservation assessment of United States islands
To support conservation-focused research and management we developed a new 30-m resolution polygon data layer of the nonlacustrine and nonriverine islands of the United States, with associated attributes describing key physical and conservation geography characteristics. Islands were grouped into a three-tiered hierarchy of island regions (twelve), island provinces (twenty-eight), and...
Characterizing the influence of remotely sensed wetland and lake water storage on discharge using LSTM models Characterizing the influence of remotely sensed wetland and lake water storage on discharge using LSTM models
Globally, many wetlands and lakes are at risk for further loss, which can amplify downstream consequences of flood and drought events. We derived remotely sensed based time series of surface water storage (SWstorage) to determine when and where accounting for SWstorage dynamics improves predictions of river discharge. We trained four long short-term memory (LSTM) models, that differed in...