Filters: Tags: soil types (X)
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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.
These data were compiled as a supplement to a previously published journal article (Bradford et al., 2019), that employed a ecosystem water balance model to characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America. Also, these data are associated with a published USGS data release (Bradford and Schlaepfer, 2019). The objectives of our study were to (1) characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America, (2) evaluate the impact of these changes on estimation of resilience and resistance among a representative set of climate scenarios. These data represent geographic patterns...
Soil survey maps were examined to better understand the surficial materials at each study site. Soil maps provide information about soil properties and their behavioral characteristics. Soil survey maps were generated using the United States Department of Agriculture-Natural Resources Conservation Service’s (USDA-NRCS) Web Soil Survey (WSS) tool (http://websoilsurvey.sc.egov.usda.gov/). The USDA-NRCS WSS maps are presented as separate Portable Document Format (PDF) files. References Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at the following link: http://websoilsurvey.sc.egov.usda.gov/. Accessed August 2017.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
East Gulf Coastal Plain,
Soil types
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...
This is one of five general categories that contain the water related elements of the Rio Grande/Bravo basin. This category includes the land use and cover of the United States and Mexico that are located within the basin boundary. Under this category a digital elevation model for the basin is also included as well as the major soils within the basin.
Categories: Data;
Types: Citation;
Tags: Agriculture,
DEM,
Digital Elevation Model,
Forest,
Land cover,
We studied the associations of crayfish with reach-scale instream habitat and water quality variables and watershed-scale variables of riparian and watershed land cover, runoff, impervious surfaces, and hydrologic soil type in west-central Indiana. Crayfish assemblage was measured by abundance, species richness, and diversity (Shannon's H) at 180 sites. The western portion of the study area, within the Interior River Lowland ecoregion, has been heavily impacted by agriculture, while the eastern portion, within the Interior Plateau ecoregion, is more heavily wooded and less impacted. The ability of variables at each spatial extent to predict crayfish assemblage was assessed using multiple linear regression analysis....
Categories: Publication;
Types: Citation;
Tags: ASFA 1: Biological Sciences & Living Resources,
Abundance,
Agricultural development,
Agriculture,
Biology--Entomology,
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