Filters: Tags: Soils (X) > partyWithName: Ecosystems (X)
16 results (7ms)|
Filters
Date Range
Extensions Types Contacts
Categories Tag Types Tag Schemes |
This data set includes geospatial data and tables providing location, environmental, and vegetation data collected in 2017 and 2018 at the Little Saint Francis River (LSFR) chat pile restoration site, Fredericktown, Madison County, Missouri. Restoration actions are being implemeneted as part of the settlement for the Madison County Mines Superfund site to compensate the public for losses of natural resources and the services they provide as part of the Natural Resource Damage Assessment and Restoration Southeast Missouri Lead Mining District case. Data were collected prior to and during the early stages of restoration actions to restore bottomland forest habitat, reduce invasive plant species abundance, and improve...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Fredericktown,
Little Saint Francis River,
Madison County,
Madison County Mines Superfund Site,
Missouri,
The dataset describes rangeland monitoring results from the Hanksville, UT (USA) area. Monitoring results consist of canopy cover of plant species and functional types according to ecological site group from 1967 to 2013. The study area is bordered on the north by the Wayne-Emery County line, on the west by Capitol Reef National Park, and on the south and east by the Colorado River, Glen Canyon National Recreation Area, and Canyonlands National Park. Cover was estimated every 1 to 5 years (except the last measurement that had a 12 year interval) from 1967 to 2013 at 36 permanently marked sites in 15 livestock grazing allotments/pastures. Canopy cover of perennial plant species was estimated to the nearest tenth...
Types: Citation;
Tags: Climate change,
Colorado Plateau,
Ecological sites,
Garfield County,
Grazing,
This study evaluated CO2 flux from soils and pneumatophores of Avicennia germinans mangrove trees subjected to nitrogen and phosphorus fertilization versus an unfertilized control with a basin mangrove ecosystem. Data were collected twice, once in the summer (June 2020) and once in the winter (November 2020) and will be used to help develop a carbon budget for basin mangroves on Sanibel Island, Florida. These data were presented as part of an M.S. Thesis (Florida Atlantic University, Natalie T. Faron, 2021), entitled “The impact of nutrient loading on the soil and root respiration rates of Florida mangroves”.
Cave-limited species display patchy and restricted distributions, but are challenging to study in-situ because of the difficulty of sampling. It is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface features that are surrogates for cave conditions. If surface features can be used to predict the distribution of important cave taxa, then conservation management goals can be more easily obtained. These GIS data represent the input and results of a spatial statistical model used to examine the hypothesis that the presence...
This data set includes tables providing location, environmental, vegetation, soils, and carbon sampling data collected in 2015 and 2016 at vegetation sampling units on restored areas and other habitats at sites in northeast Indiana, USA. "Sample_units.txt" provides location, environmental, soil physical and chemical properties for each sample location. "Subplot_ground_flora.txt" provides subplot estimates of cover for each ground flora species in each each subplot; "Plot_ground_flora.txt" provides plot-level estimates of cover for each ground flora species in each plot. "Woody_stems.txt" provides diameter at breast height measurements and height estimates for woody species with measurable diameters at 1.4 m. "Downed_wood_less_than_3_in_diameter.txt"...
These data were compiled to support analysis of remote sensing data using the Disturbance Automated Reference Toolset (Nauman et al., 2017). The objective of our study was to assess results of pinyon and juniper land treatments. These data represent major soil types as defined primarily by soil texture and depth, but also geology, parent material, and geomorphology for relevant features that distinguish major ecological land units. These data were created from field soil descriptions collected in the upper Colorado River watershed mostly since 2000, but include some older data catalogued in USDS Natural Resources Conservation Service (NRCS) databases. These soils data used in model training were collected by NRCS...
These tabular data are summaries of natural environment related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as natural environment related include topography, soils/geology, hydrology/geomorphology, and other physical aspects of surface waters (temperature, flow, etc.). Outputs consist of tabular comma-separated values files (CSVs) for the local catchment linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. The summarized data tables are structured as a single column representing the catchment id...
This data package contains the final combined field sampling data collected by the USGS July 2013 and July-August 2015 at three active uranium mines (Canyon Rim Mine, Pinenut Mine, and Arizona 1 Mine) as well as two reference sites (Little Robinson Tank and EZ2 Pipe) in northwestern Arizona. Vegetation and soils were assessed by using line-point intersect (LPI) methods and estimates of plant species richness. In addition, triplicate tissue samples for three functional groups (graminoids, forbs, and shrubs) were collected at plots around each site to be analyzed for tissue contaminant concentrations. There are three separate shapefiles depicting A) Point locations for the mine study sites (the center of the mine...
These data (all data tables for the data release) represent a suite of biotic and abiotic variables that characterized plant communities and the geologic, geomorphic, edaphic, climatic, and land use history context in which distinct plant communities occur. In 2009, the National Park Service's Inventory and Monitoring program for the Northern Colorado Plateau Network (NCPN) began measuring vegetation cover and site characteristics at monitoring plots stratified across different vegetation types within national parks on the Colorado Plateau. NCPN biologists remeasured vegetation cover at these plots in a rotating panel over the following decade. In 2019, U. S. Geological Survey geologists and soil scientists collected/compiled...
These data depict the western United States Map Unit areas as defined by the USDA NRCS. Each Map Unit area contains information on a variety of soil properties and interpretations. The raster is to be joined to the .csv file by the field "mukey." We keep the raster and csv separate to preserve the full attribute names in the csv that would be truncated if attached to the raster. Once joined, the raster can be classified or analyzed by the columns which depict the properties and interpretations. It is important to note that each property has a corresponding component percent column to indicate how much of the map unit has the dominant property provided. For example, if the property "AASHTO Group Classification (Surface)...
These data were simulated using the SOILWAT model and were intended to characterize soil-water conditions at different ecological sites on the Southern Colorado Plateau. SOILWAT is a daily, site-specific, multi soil-layer, ecosystem water-balance model, driven by daily meteorology, as well as site soil texture and vegetation. The sites simulated correspond with Inventory and Monitoring (I&M) plots established by the National Park Service’s (NPS) Southern Colorado Plateau Network (SCPN), which were established to capture the range of ecosystem conditions present in this network. Plant communities of the Southern Colorado Plateau Network (SCPN) are a vital sign for this region, enhancing habitat, stabilizing soils,...
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, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
In 2004 U.S. Geological Survey biologists recorded vegetation and biological soil crust (BSC) cover by species as well as measured soil stability and compaction data along 85 transects at the Badger Wash study area in western Colorado. Soil samples were collected and processed for chemistry and texture. Using analysis of variance and nonmetric multidimensional scaling (NMDS) we assessed the cover of vegetation and BSC both grouped by plant physiognomy and dynamic soil properties (soil chemistry/nutrients and stability and compaction) as influenced by the effects of grazing history and soil group (which varied by slope, topographic wetness index and soil properties). Vegetation and BSC cover data were also compared...
In 'Predicted (1989-2015) and forecasted (2015-2114) rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA', we provide spatially- and temporally-explicit maps of predictions for the rate of change and time to recovery and percent recovery of sagebrush cover after 100 years (Monroe et al. In revision). The rasters beginning with "sage.rate" depict the predicted annual rate of change in sagebrush cover for each timestamp interval, across the Wyoming Landscape Conservation Initiative area (WLCI) in southwestern Wyoming, USA (1989-2015). The files 'time_to_recov.tif' and 'perc_recov.tif' are rasters for predicted time to recovery and percent recovery after...
These environmental raster covariate, geospatial vector data, and tabular data were compiled as input data for the Automated Reference Toolset (ART) algorithm. These data are a subset of all the environmetal raster covariate data used in the ART algorithm. Users are advised to read the mansuscript, associated with these data and identified as the larger work citation. It is recommended that data users contact the data set author if they have any questions about the development, processing, contribution, and use of these data in the Automated Reference Toolset.
In 'Predicted (1989-2015) and forecasted (2015-2114) rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021)', we provide spatially- and temporally-explicit maps of predictions for the rate of change and time to recovery and percent recovery of sagebrush cover after 100 years (Monroe et al. 2020). The rasters beginning with "sage.rate" depict the predicted annual rate of change in sagebrush cover for each timestamp interval, across the Wyoming Landscape Conservation Initiative area (WLCI) in southwestern Wyoming, USA (1989-2015). The files 'time_to_recov_v2.0.tif' and 'perc_recov_v2.0.tif' are rasters for predicted time to recovery...
|
|
