Skip to main content
U.S. flag

An official website of the United States government

Ecosystems Land Change Science Program

The Land Change Science Program in the USGS Ecosystems Mission Area strives to advance the understanding of the physical, chemical, and biological components of the Earth system, the causes and consequences of climate and land use change, and the vulnerability and resilience of the Earth system to such changes.

News

Causes and Consequences of Flooding in California’s Central Valley

Causes and Consequences of Flooding in California’s Central Valley

Earth Science Matters - Volume 20, Spring 2025

Earth Science Matters - Volume 20, Spring 2025

Uncovering the Mysteries of the Bering Land Bridge

Uncovering the Mysteries of the Bering Land Bridge

Publications

Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022 Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022

BackgroundFire radiative power (FRP) shows promise as a diagnostic and predictive indicator of fire behavior and post-fire effects in Alaska, USA.AimsTo investigate relationships between FRP, vegetation functional groups, and environmental settings in Alaska (2003–2022) under various fire history conditions.MethodsWe tested for distinctness of MODIS FRP distributions associated with...
Authors
Jessica J. Walker, Rachel A. Loehman, Britt Windsor Smith, Christopher E. Soulard

An early Holocene wet period in the southwestern United States An early Holocene wet period in the southwestern United States

Multiple generations of spring-fed streams traversed ∼800 km2 of the Las Vegas Valley in southern Nevada between ca. 10.9 ka and 8.5 ka, depositing an extensive tufa network. The scale of this network and diversity of tufa morphologies is novel in North America and offers an opportunity to obtain quantitative paleoclimate data for the region during the early Holocene. We determined...
Authors
Kathleen B. Springer, Adam M. Hudson, Jeffrey S. Pigati, Katharine W. Huntington, Andrew J. Schauer

An enhanced national-scale urban tree canopy cover dataset for the United States An enhanced national-scale urban tree canopy cover dataset for the United States

Moderate-resolution (30-m) national map products have limited capacity to represent fine-scale, heterogeneous urban forms and processes, yet improvements from incorporating higher resolution predictor data remain rare. In this study, we applied random forest models to high-resolution land cover data for 71 U.S. urban areas, moderate-resolution National Land Cover Database (NLCD) Tree...
Authors
Lucila Marie Corro, Kenneth J. Bagstad, Mehdi Heris, Peter Christian Ibsen, Karen Schleeweis, James E. Diffendorfer, Austin Troy, Kevin Megown, Jarlath P.M. O'Neil-Dunne

Science

USGS Ecosystems Science Strengthening America's Hunting and Fishing Heritage

USGS science is vital for securing the hunting and fishing traditions many Americans value. By studying wildlife populations, habitats, and health, the USGS provides essential information that helps ensure these outdoor activities can continue to thrive.
USGS Ecosystems Science Strengthening America's Hunting and Fishing Heritage

USGS Ecosystems Science Strengthening America's Hunting and Fishing Heritage

USGS science is vital for securing the hunting and fishing traditions many Americans value. By studying wildlife populations, habitats, and health, the USGS provides essential information that helps ensure these outdoor activities can continue to thrive.
Learn More

Artificial Intelligence in the USGS Ecosystems Mission Area

As a data-driven bureau, the USGS Ecosystem Mission Area (EMA) relies on artificial intelligence (AI) to efficiently gather, analyze, and deliver natural resource information to Federal, State, Tribal, academic, and industry partners. USGS EMA scientists are developing and testing innovative uses of AI, including machine learning, deep neural network models, and photogrammetry, to streamline the...
Artificial Intelligence in the USGS Ecosystems Mission Area

Artificial Intelligence in the USGS Ecosystems Mission Area

As a data-driven bureau, the USGS Ecosystem Mission Area (EMA) relies on artificial intelligence (AI) to efficiently gather, analyze, and deliver natural resource information to Federal, State, Tribal, academic, and industry partners. USGS EMA scientists are developing and testing innovative uses of AI, including machine learning, deep neural network models, and photogrammetry, to streamline the...
Learn More

SBSC: Providing Unbiased Actionable Science & Information to Support Natural Resource Management Needs of the U.S. & Department of the Interior Priorities

The U.S. Geological Survey Southwest Biological Science Center (SBSC) is uniquely positioned in the Colorado River Basin to provide sound information, specialized expertise, and innovative tools to support the management and sustained use of natural resources on public and Tribal lands in the Southwest U.S.
SBSC: Providing Unbiased Actionable Science & Information to Support Natural Resource Management Needs of the U.S. & Department of the Interior Priorities

SBSC: Providing Unbiased Actionable Science & Information to Support Natural Resource Management Needs of the U.S. & Department of the Interior Priorities

The U.S. Geological Survey Southwest Biological Science Center (SBSC) is uniquely positioned in the Colorado River Basin to provide sound information, specialized expertise, and innovative tools to support the management and sustained use of natural resources on public and Tribal lands in the Southwest U.S.
Learn More
Was this page helpful?