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This dataset is from a restoration field study conducted at seven sites distributed across the southern Colorado Plateau in northern Arizona as part of the RestoreNet dryland restoration field trial network. The data consist of post-experimental restoration treatment (2018-2019) plant density and height measurements along with site precipitation, temperature, and soils data. Plant data were collected through plot monitoring visits distributed throughout the first year following restoration treatments and seeding.
These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the regimes used in the R and R categories; 2) assess how these changes will impact the geographic distribution of soil temperature and moisture regimes; and 3) explore the implications for using R and R categories for estimating future ecosystem resilience and resistance.
Fifteen fires from the Chronosequence dataset (see Knutson et al. 2014) were visited in 2012 and 2013 and surveyed for cover of lichens and mosses. Fires were selected to cover the range of average precipitation for each of three water years following fire, fire severity, time since fire, season of ignition, total acres burned and grazing intensity. Cattle grazing was characterized by distance from water sources for cattle, cow dung density counts and Animal Unit Months from the Rangeland Administration System of the Bureau of Land Management. Fire was characterized by whether or not a site burned, time since fire, the area burned, and an estimated amount of shrub cover consumed by the fire as compared to seemingly...
Data includes satellite derived pre-fire functional group cover of annual and perennial herbaceous, shrubs, bareground and litter across four rangeland megafires in the Western US, as well as field estimated invasive annual grass measurements from the 2nd to 3rd years post-fire. Additional landscape and restoration treatment covariates hypothesized to influence post-fire invasive annual grass cover are included.
These data were compiled to examine how climate change affects biocrust recovery from both physical and climate-induced disturbance. Objective(s) of our study were to uncover the trajectory of biological soil crust communities and soil stability following disturbance and under warming. These data represent biological soil crust surveys under 5 treatments at three sites. These data were collected at three sites: Arches National Park, Canyonlands National Park and Castle Valley. Data collection for a physical disturbance experiment where annual human-trampling occurred at the sites in Arches and Canyonlands began in 1996 and was concluded in 2018. Data collection for a 13-year full-factorial in situ climate manipulation...
These tabular data were compiled to document how key plant trait values change during plant development, particularly seedling stages, and in relation to soil moisture. An objective of our study was to answer three main research questions: (1) Do seedling trait values differ across early to late stages of seedling development and do those trajectories vary among plant species and functional types (i.e., forbs vs. grasses)?; (2) Does water availability influence seedling ontogenetic trait variation? and, if so, does this variation affect plant species drought performance?; and (3) Do seedling trait values at early stages of development differ from complied trait database values for species? These data represent key...
This dataset contains soil property and geochronology (Cesium-137 and lead-210 dating) data from soil cores collected in August 2014 in salt marshes of Jamaica Bay Estuary, New York City.
Categories: Data;
Tags: Jamaica Bay,
New York City,
Soil Sciences,
USGS Science Data Catalog (SDC),
United States,
A subset of the Louisiana's 2017 Coastal Master Plan model output was used to estimate the potential climate mitigation role of Louisiana’s coastal area. Model output of surface water salinity, land/water classification, and area of eight habitats for elapsed years of 6, 11, 16, 26, and 36 were post-processed to estimate habitat areas at years of 2020, 2025, 2030, 2040, and 2050, that align with the Governor of Louisiana’s greenhouse gas reduction targets. In addition, the Louisiana coastal boundary and a static mask of upland and developed area were used to define the coastal area. The modeled habitat areas with literature review of net ecosystem carbon balance fluxes per habitat were used in an analytical framework...
These data were compiled for a networked field-trial restoration experiment (RestoreNet) that spans the southwestern US, including 21 distributed field sites. The objective of our study was to understand the environmental factors and restoration practices (including seed mixes and soil manipulation) that increase plant establishment and survival to ultimate improve restoration outcomes in dryland environments. These data represent point-in-time plant density and height measurements at our field sites at the time of monitoring. These data were collected at 21 arid and semi-arid sites, located throughout Arizona, Utah, New Mexico, and California. These data were collected by USGS Restoration Assessment and Monitoring...
These data were compiled for a study that investigated the effects of drought seasonality and plant community composition in a dryland ecosystem. In 2015 U.S. Geological Survey 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 shrub, Ephedra viridis) over a three-year period. These data were collected from 2015 to 2022 near Canyonlands...
Categories: Data;
Tags: Achnatherum hymenoides,
Botany,
C3 photosynthesis,
C4 photosynthesis,
Canyonlands National Park,
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...
Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017). Data collected in Great Dismal Swamp National Wildlife Refuge in Southern VA and Northern NC from 9 plot sites representing three general forest types: Atlantic White Cedar, Pocosin Pine, and Maple and Gum.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climate,
Great Dismal Swamp National Wildlife Refuge,
Soil Sciences,
USGS Science Data Catalog (SDC),
Wetland
Vegetative buffer strips have been demonstrated to effectively reduce loads of sediment, nutrients, and herbicides in surface runoff, but their effectiveness for reducing veterinary antibiotic loads in runoff has not been well documented. Surface runoff simulation where performed to determine the effectiveness of Vegetative buffer strips vegetation and width on surface runoff loads of the veterinary antibiotics sulfamethazine and lincomycin. The three datasets in this release document 1. physical and chemical soil properties for soil located on experimental vegetated buffer strip plots prior to surface runoff simulations; 2. Rainfall simulator performance data and antecedent soil water content data for all vegetated...
These data were compiled to assess the recovery of vegetation on reclaimed oil and gas sites. Objective(s) of our study were to assess patterns in reclamation outcomes relative to 1) soil attributes, climate, and time since 39 reclamation and 2) plant and soil reference benchmarks. These data represent observations of vegetation and soil cover from 134 reclaimed oil and gas well pads and 583 AIM reference plots. These data were collected on lands impacted by oil and gas development on the Colorado Plateau as well as Arizona and New Mexico Plateau of New Mexico, Colorado, and Utah. Data was collected from July- September of 2020 and May-September of 2021. These data were collected by Assessment Inventory and Monitoring...
Categories: Data;
Tags: AIM reference plots,
Arizona and New Mexico Plateau,
Assessment Inventory and Monitoring (AIM),
Botany,
Colorado,
This dataset consists of three datafiles: 1) vegetation, 2) abiotic factors, and 3) groundwater levels. Vegetation data were collected twice per month between July and September of 2019 and 2020. Data was collected by establishing 1m x 1m subplots within 12 5m-radius sampling plots distributed across the management units of Bitter Lake National Wildlife Refuge. Subplots were established to represent plot-level vegetation structure and facilitate estimates of rare plant relative abundance. The abiotic factors dataset includes observations of surface soil moisture, salinity, groundwater quality data, and rare plant presence taken weekly between March – October 2019 and May – October 2020 at each established plot within...
The U.S. Geological Survey (USGS) Soil Sample Archive is a database of information describing soil and sediment samples collected in support of USGS science. Samples in the archive have been registered with International Generic Sample Numbers, relabeled with bar-coded sample labels, and repacked in containers for long-term preservation. Details of sample collection location, collection date, associated datasets, mass of remaining sample, storage locations, and other relevant information are tabulated here so that interested parties may identify associated datasets and search, sort, and gain access to archived samples.
The data reflect surveys from 10-year sampling frames established as part of the Sagebrush Steppe Treatment Evaluation Project. The project tests fuel reduction treatments on the lichen and moss components of biocrusts across the sagebrush steppe.
Seven exclosures that were part of the original 28 Taylor Grazing Act exclosures across northern Nevada were surveyed for cover of biological soil crusts in May 2018. Surveys consisted of 15 quadrats both inside and outside of the exclosures. Quadrats were used to measure biocrust cover via point-intercept at 39 vertices within each quadrat. Cattle grazing outside of the exclosures was characterized by distance from the closest water source as well as permitted, suspended and active Animal Unit Months from the Rangeland Administration System. Abundance of cyanobacteria in the soils was assessed with the moistened soil method.
These data were compiled to evaluate the magnitude and direction of change from historical conditions in climate metrics across the Southeastern Utah Group (SEUG) of National Parks. Objective(s) of our study were to quantify the magnitude and direction of change from historical conditions in climate metrics across SEUG parks at a meaningful scale for land managers and practitioners. These data represent the historical and projected future average temperatures for two emission scenarios and 12 global circulation models. Included are the annual average temperatures and the average temperatures for each season. These data were created by sampling representative locations across each National Park unit and simulating...
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 radionuclide (137Cs and 210Pb).
Categories: Data;
Tags: Land Use Change,
Louisiana,
Organic Detritus,
Soil Sciences,
USGS Science Data Catalog (SDC),
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