Filters: Tags: structural equation model (X)
3 results (8ms)
Filters
Date Range
Types Contacts
Categories Tag Types Tag Schemes |
Data were collected in 2017 by researchers at the USGS, USDA-ARS, and University of Wyoming on the food webs of plants, prairie dogs, arthropods, and birds in the Thunder Basin National Grassland. Data were collected from 87 sites in order to parameterize a structural equation model linking prairie dog impacts to changes in vegetation, arthropods, and birds. Abiotic information such as topographic wetness index, terrain roughness, and soil characteristics were estimated at the same set of plots in order to account for abiotic variation across the landscape.
Categories: Data;
Tags: Botany,
Ecology,
Thunder Basin,
Thunder Basin,
Thunder Basin National Grassland,
San Francisco Bay, California is considered a mercury-impaired watershed. Elevated concentrations of mercury are found in water and sediment as well as fish and estuarine birds. Sources of mercury to the watershed since 1845 include sediment-associated mercury from mercury mining, mercury losses from gold amalgamation activities in mines of the Sierra Nevada, aerial deposition of mercury from global and regional emissions to air, and the direct discharge of mercury to Bay waters associated with the urbanization and industrialization of the estuary. We assessed historical trends in mercury bioaccumulation by measuring mercury concentrations in feathers of the endangered California Ridgway’s rail (formerly California...
Coastal wetlands significantly contribute to global carbon storage potential. Sea-level rise and other climate change-induced disturbances threaten coastal wetland sustainability and carbon storage capacity. It is critical that we understand the mechanisms controlling wetland carbon loss so that we can predict and manage these resources in anticipation of climate change.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Georgia,
Savannah River,
Soil organic matter,
South Carolina,
USGS Science Data Catalog (SDC),
|
![]() |