Filters: Tags: southeastern Utah (X)6 results (1.9s)
CO2 concentrations and microbial biomass data derived from incubation experiments on soils collected at Arches National Park in 2017 and 2018
These data were compiled to improve our understanding of how water, carbon (C), nitrogen (N), and phosphorus (P) interact to regulate below ground carbon cycling. Objective(s) of our study were to evaluate how soil heterotrophic carbon cycling responded to inputs of water, C, N, and P individually and interactively on the Colorado Plateau. These data represent soil microbial and CO2 respiration responses to amendments of carbon, nitrogen, phosphorous, and water. Soils were collected at a study site located in Arches National Park in southeastern Utah on 14 August 2017 and again on 17 July 2018 from the upper 10 cm of the soil profile in open spaces among plant canopies after the biological soil crust layer (< 1...
Precipitation, soil moisture, and vegetation data from 36 experimental plots in southeastern Utah, near Canyonlands National Park (2015 - 2018)
These data were compiled for a study that investigated the effects of drought seasonality and plant community composition on two dominant perennial grasses, Achnatherum hymenoides (C3 photosynthesis), and Pleuraphis jamesii (C4 photosynthesis), in a dryland ecosystem. In 2015 USGS Ecologists recorded vegetation and soil moisture data in 36 experimental plots which manipulated precipitation in two plant community types. The experiment consisted of three precipitation treatments: control (ambient precipitation), cool-season drought (-66% ambient precipitation November-April), and warm-season drought (-66% ambient precipitation May-October), applied in two plant communities (perennial grasses with or without a large...
Sample collection information and SNP data for Gunnison Sage-grouse across the species range generated in the Molecular Ecology Lab during 2015-2018
This dataset contains sample collection information and SNP genotypes for populations of Gunnison Sage-grouse across the species' range. This data was collected in order to examine patterns of adaptive genetic variation in Gunnison Sage-grouse. The data is archived in GenBank at the following URL https://www.ncbi.nlm.nih.gov/bioproject/517770.
Meteorological measurements from five weather stations in Grand and San Juan Counties in southeastern Utah (ver. 2.0, April 2023)
These data were compiled from six automated weather stations that together provide several points in the meteorological record across a latitudinal and elevational gradient in southeastern Utah. Recorded data from these weather stations are associated with several different studies. Meteorological data are important for quantifying short term weather events as well as longer term climate trends. Spatially separated precipitation gauges allow for better characterization of the heterogeneity of precipitation events. These data were collected from six locations running from north to south in southeast Utah. All of the weather stations use Campbell Scientific data loggers and data are collected daily via telecommunications...
Sample collection information and microsatellite data for Gunnison sage-grouse pre and post translocation
Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats and/or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal. However, the long-term impacts from translocation can be expensive and difficult to evaluate. This dataset is used to evaluate genetic change as a result of translocation and represents samples collected before and after translocations were conducted.
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 (SeasonalEcophyAciData) and how photosynthetic rates related to climate (SeasonalEcophyMonthlyData). Data can be arranged at the seasonal, annual, species-, or functional group-levels to compare multi-level processes.