Data

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 acres of NPS

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.

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 (SeasonalEc

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 of forests

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 soil pH, t

This dataset supports the following publication: "Solar and sensor geometry, not vegetation response, drive satellite NDVI phenology in widespread ecosystems of the western United States" (DOI:10.1016/j.rse.2020.112013). The data release allows users to replicate, test, or further explore results. The dataset consists of 4 separate items based on the analysis approach used in the original publicat

This dataset contains 10 classified raster images identifying the distribution and condition of biological soil crusts using high-resolution imagery from Unmanned Aerial Systems (UAS). Also included are: a supplemental accuracy report and accuracy matrix for each classified image, and all associated accessory files. These images are located in Beef Basin, Southeastern Utah, and focuses on two ecol

This data release contains hourly means of climatological data collected by the U.S. Geological Survey (USGS) from 10/1/1991 to 9/30/2019 at three weather stations in the Loch Vale watershed in Rocky Mountain National Park (RMNP), Colorado. In order of increasing elevation, the three weather stations are Loch Vale meteorological station at RMNP, Colo. (Main weather station, USGS station 4017191053

The past decade includes some of the most extensive boreal forest fires in the historical record. Environmental drivers include warming temperatures, changing precipitation patterns, desiccation of thick organic soil layers, and increased ignition frequency from lightning. Wildland fires produce smoke aerosols that can travel thousands of kilometers, before blanketing the surfaces on which they fa

This dataset includes processed tree ring data from avalanche paths in Glacier National Park and the Flathead National Forest in northwest Montana. The data were processed in three distinct phases that resulted in this dataset: collection, processing, and avalanche signal analysis. This dataset consists of samples from 647 trees with 2304 growth disturbances identified from 12 avalanche paths.

These data are records collected from an automated weather station and four stand-alone tipping bucket rain gauges each with their own data logger that were in operation between February 2005 and December 2019 in the Badger Wash Study Area near Mack, Colorado as part of a larger project funded by the Bureau of Land Management. These files are hourly-interval data from the automated weather station

These data describe greenhouse gas (GHG) emissions, dissolved GHG concentrations, and mesocosm conditions (vegetation, hydrologic phases, ambient conditions) of a controlled, laboratory study.