Filters: Date Range: {"choice":"week"} (X) > Categories: Data (X) > partyWithName: U.S. Geological Survey (X)
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On February 14th, 2019, a strong atmospheric river storm (AR4 on the Atmospheric River scale of Ralph et al., 2019) struck California. The heavy rainfall caused landslides in both northern and southern California (Hatchett et al., 2020). This data release includes two subsets of mapped shallow landslide source locations in the vicinity of western Riverside County, California, where sufficient post-event imagery was available within Google Earth (image date: August 15, 2019). The data release includes: 1) .csv files containing the point locations of shallow hillslope landslides, 2) .zip files containing shapfiles (.shp) of the mapped study areas. Ralph, F., Rutz, J. J., Cordeira, J. M., Dettinger, M., Anderson,...
Categories: Data;
Tags: Bee Canyon,
California,
Geomorphology,
Riverside County,
USGS Science Data Catalog (SDC),
The timing of biological events in plants and animals, such as migration and reproduction, is shifting due to climate change. Anadromous fishes are particularly susceptible to these shifts, as they are subject to strong seasonal cycles when transitioning between marine and freshwater habitats to spawn. We used linear models to determine the extent of phenological shifts in adult alewife (Alosa pseudoharengus) as they migrated from ocean to freshwater environments during spring to spawn at 12 sites along the northeast U.S. We also evaluated broad-scale oceanic and atmospheric drivers that trigger their movements from offshore to inland habitats including sea surface temperature (SST), North Atlantic Oscillation index,...
Categories: Data,
Data Release - In Progress;
Tags: Phenology,
climate change,
fish,
migration,
migration
This is a dataset containing aggregated non-native plant occurrence and abundance data for the contiguous United States. We used these data to develop habitat suitability models for species found in the Eastern United States using locations with 5% cover or greater. We adapted the INHABIT modeling workflow (Young et al. 2020), using a consistent set of climatic predictors that were important in the INHABIT models. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.2.2]. We accounted for sampling bias by using the target background approach, and constructed model ensembles using the five models for each species for three different thresholds (conservative to targeted;1st...
Categories: Data,
Data Release - In Progress;
Tags: Botany,
Contiguous United States,
Ecology,
SAHM,
Species Distribution Modeling,
Information was gathered to support a cumulative effects assessment of restoration in barrier island and shoreline systems of the north central Gulf of Mexico. Information includes: 1) results from two literature searches to help guide the development of a conceptual model of a barrier island and shoreline system and identify drivers and stressors important to that system, and 2) an accounting of restoration projects and descriptive information to document the distribution of Deepwater Horizon-funded restoration projects within the study area and guide the identification of potential effects on focal resources.
Categories: Data;
Tags: Barrier Island,
Ecology,
USGS Science Data Catalog (SDC),
cumulative effects,
dune restoration,
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