241 results — topic: Soil Science

Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer2021DOI: 10.15485/1842907
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Depth profiles of soil CO2 Concentrations, soil temperature, and soil moisture (Rocky Mountain Biological Laboratory, Gothic, Colorado, 2011-2016)

Soil respiration (the flux of CO2 from the soil surface) is one of the largest and most variable fluxes in the global carbon cycle, and yet also one of the least understood, primarily due to methodological difficulties. These are (1) measuring soil respiration at high temporal frequencies and (2) at

Carbone, Mariah2021DOI: 10.6084/m9.figshare.7834406.v1
Dataset

Ecological causes and consequences of flower color polymorphism in a self-pollinating plant (Boechera stricta)

Intraspecific variation in flower color is often attributed to pollinator-mediated selection, yet this mechanism cannot explain flower color polymorphisms in self-pollinating species. Indirect selection mediated via biotic and abiotic stresses could maintain flower color variation in these systems.

Vaidya, Priya2021DOI: 10.5061/dryad.q0032Cited 1 times
Dataset

Data for Context-dependent biotic interactions control plant abundance across altitudinal environmental gradients, 2014, 2016, Colorado, USA.

Many biotic interactions influence community structure, yet most distribution models for plants have focused on plant competition or used only abiotic variables to predict plant abundance. Furthermore, biotic interactions are commonly context-dependent across abiotic gradients. For example, plant-pl

Joshua S Lynn, Melanie R Kazenel, Stephanie N Kivlin2021DOI: 10.6073/pasta/953d0af267ddb6a0ddb970bff3218a61
Dataset

EXAMINATION OF BULK SOIL/DETRITAL CHARCOAL AND AMS RADIOCARBON AGE DETERMINATION OF MATERIAL FROM SITES TRCR1, TRCR2, TRCR4, TRCR5, AND TRCR6 ALONG TAYLOR RIVER, COLORADO.

Six bulk soil samples and seventeen detrital charcoal samples from sites TRCR1, TRCR2, TRCR4, TRCR5, and TRCR6 along Taylor River in Gunnison County, central Colorado, were analyzed to recover organic remains suitable for radiocarbon age determination. Samples were collected from Holocene terraces a

Peter Kováčik2021
Dataset

Annual floodplain sediment deposition recorded using feldspar clay marker horizons along the East River, Colorado, 2015-2017.

White feldspar clay was placed along 24 transects defining a ~9-km long study reach along the meandering snowmelt-dominated East River in Colorado, USA. Feldspar markers horizons were placed in the fall of 2015 and 2016 along transects with the space between them increasing with distance from the ch

Sutfin N, Rowland J2021DOI: 10.15485/1577279
Dataset

Sample Collection Metadata for Soil Cores from the East River Watershed, Colorado collected in 2017.

This data package contains sample collection metadata for soil cores from the East River Watershed in Colorado used in biogeochemical analyses by the Watershed Function SFA. Soil cores were collected seasonally during autumn, winter, snowmelt, and spring at a predominately montane meadow, high altit

Sorensen P, Brodie E, Beller H2021DOI: 10.21952/WTR/1573029Cited 2 times
Dataset

Depth and elevation of floodplain fine sediment along the East River near Crested Butte, Colorado measured in 2016 and 2017.

The depth of floodplain fine sediment was measured at 1,601 points along the East River near Crested Butte, Colorado spanning a study reach approximately 800 m in length in 2016 and 2017. These depths are being used to estimate the volume of floodplain sediment present along the study reach, convert

Sutfin N, Rowland J2021DOI: 10.15485/1574502
Dataset

Hillslope subsurface flow and transport data for the PLM transect in East River, Colorado.

This file contains data used to calculate subsurface flow and transport at the Pumphouse Lower Montane (PLM) hillslope transect. Information includes locations, weather data, hydraulic conductivities, hydraulic head profiles, soil water profiles, depths to the water table, specific conductance (SC)

Tokunaga T, Carroll R, Conrad M2021DOI: 10.21952/WTR/1506941Cited 1 times
Dataset

Soil Nitrogen, Water Content, Microbial Biomass, and Archaeal, Bacterial and Fungal Communities from the East River Watershed, Colorado collected in 2016-2017.

This data set contains soil measurements made at the Pumphouse Hillslope to Floodplain transect at the locations of the early snowmelt-timing manipulation experiments in the East River Watershed in Colorado, USA. The data were collected in 2016 and 2017 to determine soil microbial responses to snow

Sorensen P, Brodie E, Beller H2021DOI: 10.15485/1577267Cited 3 times
Dataset

Plant species distribution within the Upper Colorado River Basin estimated by using hyperspectral and LiDAR airborne data.

This package is part of the Watershed Function SFA project and contains a remote sensing dataset acquired at the East River, Colorado. The remote sensing dataset is composed of vegetation maps computed from hyperspectral and LiDAR airborne data acquired by the NEON team in June 2018. The maps show t

Falco N, Balde A, Breckheimer I2021DOI: 10.15485/1602034Cited 3 times
Dataset

Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset.

Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more com

Wan J, Tokunaga T K, Williams K H2021DOI: 10.15485/1601290
Dataset

Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.

This dataset comprises paired environmental and genomic data for soil samples collected across meander-bound floodplains G (ERMG), L (ERML) and Z (ERMZ). A total of 96 soil samples (32 per floodplain) from the ~ 10-25 cm layer were collected in September 2015, during base flow conditions. An additio

Matheus Carnevali P, Hobson C, Geller-McGrath D2021DOI: 10.15485/1631979Cited 1 times
Dataset

Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.

This dataset comprises paired environmental and genomic data for soil samples collected across meander-bound floodplains G (ERMG), L (ERML) and Z (ERMZ). A total of 96 soil samples (32 per floodplain) from the ~ 10-25 cm layer were collected in September 2015, during base flow conditions. An additio

Matheus Carnevali P, Hobson C, Geller-McGrath D2021DOI: 10.15485/1631979Cited 1 times
Dataset

Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA.

This dataset includes sapflux and stable water isotopes of soil water and xylem water for aspen, fir and spruce trees along the Snodgrass Mountain transect in the East River Watershed, Colorado USA. The purpose of generating this dataset was to understand: (1) the total flux of water being used by t

Berkelhammer M2021DOI: 10.15485/1647654
Dataset

Time-domain reflectometer survey across the East River Watershed, Colorado.

Lawrence Berkeley National Laboratory (LBNL) collected near-surface point-measurements of soil temperature (file variable TDR_T(C)), volumetric water content (file variable TDR_SM(VWC%)), and soil electrical conductivity (file variable TDR_EC(mS/m)) using a time-domain reflectometer (TDR) at a depth

Falco N, Dafflon B, Devadoss J2021DOI: 10.15485/1648526
Dataset

Soil Environmental Conditions in the East River Watershed, CO.

This dataset contains depth-resolved soil environmental variables collected between June 2016 and October 2018 from the Bradley Meadow site in the East River watershed. Datalogger output from 7 Campbell CS655 12 cm Soil Moisture and Temperature Sensors including depth, temperature, volumetric water

Winnick M, Lawrence C, Maher K2021DOI: 10.15485/1660455
Dataset

Soil bulk density and texture data collected during field survey associated with NEON AOP survey, East River, CO 2018.

The purpose of soil core sampling was to determine soil bulk density, volumetric water content, and soil texture across the sites that were sampled in association with the National Ecological Observatory Network's Airborne Observation Platform (NEON AOP) in 2018. Soil cores were collected from surfa

Chadwick K D, Pierce S, Sirles M2021DOI: 10.15485/1671826