Skip to main content
Advanced Search

Filters: Types: OGC WMS Service (X) > partyWithName: Ecosystems (X) > Types: OGC WMS Layer (X) > Extensions: Shapefile (X)

7 results (14ms)   

View Results as: JSON ATOM CSV
thumbnail
These data represent trapping effort and captures of deer mice at Point Reyes National Seashore, Marin County, California. Deer mice were captured and marked with ear tags to allow identification of individuals. The location of captures can be used in a spatially explicit capture recapture model to estimate density of mice and how mouse density varies by site and habitat type.
thumbnail
To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maximum normalized difference vegetation index (NDVI) for early season greenness (January-June), and mean NDVI (July-October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites and tested for changes before and after each turbine was installed. These data were used...
thumbnail
The Climate Adaptation Science Centers (CASCs) partner with natural and cultural resource managers, tribes and indigenous communities, and university researchers to provide science that helps fish, wildlife, ecosystems, and the communities they support adapt to climate change. The CASCs provide managers and stakeholders with information and decision-making tools to respond to the effects of climate change. While each CASC works to address specific research priorities within their respective region, CASCs also collaborate across boundaries to address issues within shared ecosystems, watersheds, and landscapes. These shapefiles represent the 9 CASC regions and the national CASC that comprise the CASC network, highlighting...
thumbnail
This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR). Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards,...
thumbnail
The USGS Southwest Repeat Photography Collection (‘Collection’), formerly named the Desert Laboratory Repeat Photography Collection, is now housed by the Southwest Biological Science Center (SBSC) in Flagstaff, Arizona. It contains images from the late 1800s to mid-2000s, and was assembled over decades by now retired USGS scientists Drs. Robert H. Webb and Raymond M. Turner. There are 80 camera points, or stakes, along Kanab Creek in the Collection, with images and fields notes taken between 1872 and 2010 (a 138-year span). About one-fourth of the Kanab Creek film had been previously digitized, but none of the associated materials, including field notes, were digitized. The goal of the Fiscal Year (FY) 2016 Kanab...
Our model is a full-annual-cycle population model {hostetler2015full} that tracks groups of bat surviving through four seasons: breeding season/summer, fall migration, non-breeding/winter, and spring migration. Our state variables are groups of bats that use a specific maternity colony/breeding site and hibernaculum/non-breeding site. Bats are also accounted for by life stages (juveniles/first-year breeders versus adults) and seasonal habitats (breeding versus non-breeding) during each year, This leads to four states variable (here depicted in vector notation): the population of juveniles during the non-breeding season, the population of adults during the non-breeding season, the population of juveniles during the...
thumbnail
In the face of sea level rise and as climate change conditions increase the frequency and intensity of tropical storms along the north-Atlantic Coast, coastal areas will become increasingly vulnerable to storm damage, and the decline of already-threatened species could be exacerbated. Predictions about response of coastal birds to effects of hurricanes will be essential for anticipating and countering environmental impacts. This project will assess coastal bird populations, behavior, and nesting in Hurricane Sandy-impacted North Carolina barrier islands. The project comprises three components: 1) ground-based and airborne lidar analyses to examine site specific selection criteria of coastal birds; 2) NWI classification...


    map background search result map search result map USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010 Maps of the USGS Climate Adaptation Science Centers (May 2024) Spatial habitat grid Cape Lookout, North Carolina 2012 National Wetlands Inventory Habitat Classification Data supporting Landsat time series assessment of invasive annual grasses following energy development County-level maps of cropland surface water inundation measured from Landsat and MODIS Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 Data supporting Landsat time series assessment of invasive annual grasses following energy development County-level maps of cropland surface water inundation measured from Landsat and MODIS Spatial habitat grid Maps of the USGS Climate Adaptation Science Centers (May 2024)