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Data

The climate history, land cover and land surface data developed by the Land Change Science Program in the USGS Ecosystems Mission Area is vital to various types of research and management applications, including assessing the impacts of climate change, evaluating ecosystem status and health, understanding spatial patterns of biodiversity, and informing land use planning.

Filter Total Items: 172

Cottonwood Lake Study Area - Amphibians - 1992 to 2019 Cottonwood Lake Study Area - Amphibians - 1992 to 2019

This dataset contains the number of captured individuals recorded for each amphibian species surveyed in all wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota. While amphibians were the target of the surveys, reptiles (i.e., turtles, snakes) were also sometimes captured over the course of the surveys and are included in the data file.

Cottonwood Lake Study Area - Invertebrate Weights - 1992-2019 Cottonwood Lake Study Area - Invertebrate Weights - 1992-2019

This dataset contains macroinvertebrate sampling data (weights) for wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.

Cottonwood Lake Study Area - Specific Conductance - 1992-2020 Cottonwood Lake Study Area - Specific Conductance - 1992-2020

This dataset contains the specific conductance values of water for all wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.

Long-term soil carbon data and accretion from four marsh types in Mississippi River Delta in 2015 Long-term soil carbon data and accretion from four marsh types in Mississippi River Delta in 2015

The Mississippi River Deltaic Plain has extensive marsh habitats (fresh, intermediate, brackish, and saline) where soil cores were collected to a depth of 100 cm at 24 sites to assess long-term carbon accumulation rates and coast-wide burial rates. Each core was sectioned into 2-cm depth intervals, and select intervals were analyzed for percent moisture, bulk density, total carbon, and

DSWEmod surface water map composites generated from daily MODIS images - California DSWEmod surface water map composites generated from daily MODIS images - California

USGS researchers with the Patterns in the Landscape ? Analyses of Cause and Effect (PLACE) project are releasing a collection of high-frequency surface water map composites derived from daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Using Google Earth Engine, the team developed customized image processing steps and adapted the Dynamic Surface Water Extent (DSWE) to...

Landscape inputs and simulation output for the LANDIS-II model in the Greater Yellowstone Ecosystem Landscape inputs and simulation output for the LANDIS-II model in the Greater Yellowstone Ecosystem

This data release provides inputs needed to run the LANDIS-II landscape change model, NECN and Base Fire extensions for the Greater Yellowstone Ecosystem (GYE), USA, and simulation results that underlie figures and analysis in the accompanying publication. We ran LANDIS-II simulations for 112 years, from 1988-2100, using interpolated weather station data for 1988-2015 and downscaled...

Data release for: Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling Data release for: Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling

This data release provides inputs needed to run the LANDIS PRO forest landscape model and the LINKAGES 3.0 ecosystem process model for the area burned by the Black Dragon Fire in northeast China in 1987, and simulation results that underlie figures and analysis in the accompanying publication. The data release includes the fire perimeter of Great Dragon Fire; input data for LINKAGES...

Rangeland Ecosystem Data, Grand Canyon - Parashant National Monument, AZ, USA Rangeland Ecosystem Data, Grand Canyon - Parashant National Monument, AZ, USA

These data were compiled for an assessment of rangeland ecosystem conditions of the Grand Canyon - Parashant National Monument. The approximately one-million-acre Grand Canyon-Parashant National Monument (PARA) is located in the northwest corner of Arizona and co-managed by the Bureau of Land Management (BLM) and National Park Service (NPS). This report is focused on the ca. 200,000...

Short term soil carbon data and accretion rates from four marsh types in Mississippi River Delta collected in 2015 Short term soil carbon data and accretion rates from four marsh types in Mississippi River Delta collected in 2015

Short-term carbon accumulation rates were examined by collecting 10-cm deep soil cores at 24 sites located in marshes spanning the salinity gradient in coastal Louisiana. Percent moisture, bulk density, total carbon content, and the short-term accretion rates obtained with feldspar horizon markers were measured to determine total carbon accumulation and storage rates.

Seasonal ecophysiological measurement data from December 2015 to September 2016, southeastern Utah Seasonal ecophysiological measurement data from December 2015 to September 2016, southeastern Utah

These data were compiled to investigate differentiation in physiological activity varies through time for different functional groups. These include the seasonal progress of 13 plant species representing perennial C3 shrub, C3 grass, C4 grass, and annual forb functional groups of the Colorado Plateau, USA. These data can be used to test for differences in carbon assimilation strategies

Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals) Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals)

These data were created to describe the causes of land cover change that occurred in the Interior Highland region of the United States for the time intervals of 2001 to 2006 and 2006 to 2011. This region, which covers approximately 17.5 million hectares, includes portions of the U.S. states of Arkansas, Missouri, Oklahoma, and Kansas. Most of the area is covered by gently rolling hills...

Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead

These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30 meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented...
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