Skip to main content
Advanced Search

Filters: System Type: Data Release (X) > Categories: NOT Data Release - In Progress (X) > Tags: {"scheme":"ISO 19115 Topic Category"} (X) > partyWithName: Ecosystems (X) > Types: Downloadable (X)

97 results (16ms)   

View Results as: JSON ATOM CSV
thumbnail
Globally, groundwater dependent ecosystems (GDEs) are increasingly vulnerable to groundwater extraction and land use practices. Groundwater supports these ecosystems by providing inflow, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. Many aquatic systems receive groundwater as a portion of base flow, and in some systems (e.g., springs, seeps, fens) the connection with groundwater is significant and important to the system’s integrity and persistence. Groundwater management decisions for human use may not consider ecological effects of those actions on GDEs, which rely on groundwater to maintain ecological function. This disconnect between...
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
This data set consists of digital data describing wetlands and uplands habitats for the Mississippi Coastal Improvements Program (MsCIP) area, consisting of Cat, Ship, Horn and Petit Bois Islands for the year 2020. Wetlands were classified using the Cowardin, et al., wetlands classification scheme to the level of freshwater and tidal, salinity modifiers. Uplands were classified using a customized classification scheme which can be cross-referenced to Anderson, et. al. For this dataset, upland dunes were delineated as areas at or above 1.524 meters (5 feet) as determined in the Lidar data that was referenced without modification for this classification. With this elevation criteria some delineated upland dune features...
Exotic annual grasses [EAG] are one of the most damaging biological stressors in western North America. Despite numerous environmental and societal impacts associated with EAG there remains a need to enhance regional monitoring capabilities to better guide management and conservation efforts. Here we provide estimates of historic and potential future trends in EAG abundance that were developed using linear trend analysis and machine learning techniques at a 30-m spatial resolution. Specifically, these data represent historic (1985 to 2019) and potential future (2025-2040) rates of exotic annual grass change as estimated using Theil-Sen regression and a process-constrained, random forest model assuming only changes...
Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of wildfire occurrence (30-m spatial resolution) in sagebrush-dominated landscapes of the western United States.
thumbnail
Data on 17 metrics of shale gas development in the Pennsylvania portion of the Upper Susquehanna River basin that was collated from a variety of sources and summarized at the upstream catchment scale. Data were also standardized by upstream area and transformed into rank scores based on metric distribution and then summarized into a Disturbance Intensity Index (DII). See Maloney et al. 2018 for detailed descriptions of each data sets and limitations of data. (Maloney, K. O., J. A. Young, S. P. Faulkner, A. Hailegiorgis, E. T. Slonecker, and L. E. Milheim. 2018. A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A. Science...
thumbnail
This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGS’s GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was calculated within a set of 2,843 Riparian Area Polygons (RAPs) up to 1 km in length defined in ESRI ArcMap 10.2.
thumbnail
This dataset includes hourly stream temperature data for 139 temperature logger sites throughout the Lahontan Basin Region of Northern Nevada and Eastern California. Data loggers were part a study beginning in 2017, with data available through 2019 for most locations. The spatial data layer contains site locations, geographic information, data summaries, mean August stream temperatures, and modeled NorWeST stream temperatures. The Wet-Dry delineation file contains daily flow status estimates derived from stream temperature data for each site. The Site Visit file contains the date and time of the site visit along with associated information on site flow conditions, water depths, logger conditions, and stream logger...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the...
Observations (reduced to detected/not detected) of 45 vertebrate species (seven mammals, seven amphibians, and 31 reptiles) across Southern California pitfall sampling projects conducted between 1995 through 2015. Habitat patch locations of every pitfall sampling project presented in a shapefile. Habitat patches were measured based on the size when pitfall sampling began within each. Sampling projects within the same geographic area may have different sized patches based on date of project sampling and if patch erosion occurred. A matrix of whether each species was expected within each habitat patch's species pool based on range maps and published records is also included. These data support the following publication:...
thumbnail
This dataset contains data pertaining to ground surface cover in 30 meter plots around a random selection of points within chaparral from Santa Barbara county south to San Diego County in southern California, USA. These data were obtained from historical aerial imagery from 1943 to 1959 and current imagery from 2016 to 2018 and they were compared to quantify changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J., Rustigian‐Romsos, H. and Keeley, J.E., 2022. Fire‐driven vegetation type conversion in southern California. Ecological Applications, p.e2626. https://doi.org/10.1002/eap.2626.
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA...
thumbnail
Burmese pythons are an invasive species in the Greater Everglades Ecosystem. Burmese pythons captured in the ecosystem are euthanized, and in an effort to learn about this invasive species, all euthanized pythons are necropsied, during which time samples are collected. We analyzed the stable isotope ratios of carbon and nitrogen in muscle samples from 423 Burmese pythons euthanized and necropsied between 2003-05-01 and 2012-09-02, and after processing and QA/QC, we were left with isotope ratios for 410 samples, which we reported here. We used these data to estimate the size of the isotopic niche of the Burmese python, commonly measured using standard ellipse areas, or SEAs. To put these SEAs in context, we conducted...
thumbnail
The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
thumbnail
The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring (SWAMP) program. The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
thumbnail
These bat location estimates have been reported by Bogan and others (In press) and come in the form of a GIS shape file. Three species of nectar-feeding phyllostomid bats migrate north from Mexico into deserts of the United States (U.S.) each spring and summer to feed on blooms of columnar cacti and century plants (Agave spp). However, the habitat needs of these important desert pollinators are poorly understood. We followed the nighttime movements of two species of long-nosed bats (Leptonycteris yerbabuenae and L. nivalis) in an area of late-summer sympatry at the northern edges of their migratory ranges. We radiotracked bats in extreme southwestern New Mexico during 22 nights over two summers and acquired location...
thumbnail
This dataset includes temperature and pressure data from 26 sites in the HJ Andrews Experimental Forest in western Oregon. Stream and Air data loggers were deployed in June of 2020 and downloaded in October 2020. The HJ_Andrews_Temperature file contains temperature data (in C°) by logger serial number, site, and usage for the study period. The HJ_Andrews_Pressure file contains pressure data (in kPa) by logger serial number, site, and usage for the study period. The HJ_Andrews_Points spatial data layer contains site locations, geographic information, data summaries, and mean August stream temperatures. The HJ_Andrews_Wet_Dry delineation file contains daily flow status estimates derived from stream and air temperature...
thumbnail
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from...
thumbnail
The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Hopedale Hydrologic Restoration (PO-24) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
thumbnail
This dataset contains data pertaining to ground surface cover in a 30 meter radius around a random selection of points within San Diego County, California. These data were obtained from aerial imagery for the years 1953 and 2016 and were used to assess changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J. and Keeley, J.E., 2019. Extent and drivers of vegetation type conversion in Southern California chaparral. Ecosphere, 10(7), p.e02796.
map background search result map search result map Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011 Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018 Radio telemetry data on nighttime movements of two species of migratory nectar-feeding bats (Leptonycteris) in Hidalgo County, New Mexico, late-summer 2004 and 2005 Riverine Sand Mining/Scofield Island Restoration (BA-40): 2014 habitat classification (ver. 1.1, August 2021) LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Greater Everglades Burmese python stable isotope data, 2003-2012, and standard ellipse area literature review, 2018 Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 LEAN-Corrected DEM for Suisun Marsh LEAN-Corrected Collier County DEM for wetlands Species Observations from Pitfall Trap Arrays, Species Pool Matrices, and Patch Locations in Southern California from 1995-2015 Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019) Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040) Pass Chaland to Grand Bayou Pass Barrier Shoreline Restoration (BA-35): 2016 habitat classification Stream Temperature in the Lahontan Basin of Nevada and California, 2017-2019 Air and stream temperature and pressure for HJ Andrews Experimental Forest, Western Oregon, 2020 February 2020 National Wetlands Inventory, Mississippi Barrier Islands Habitat Classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) Vegetation Type Conversion in Southern California Between 1943 and 2018 Hopedale Hydrologic Restoration (PO-24): 2021 land-water classification Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 Riverine Sand Mining/Scofield Island Restoration (BA-40): 2014 habitat classification (ver. 1.1, August 2021) Pass Chaland to Grand Bayou Pass Barrier Shoreline Restoration (BA-35): 2016 habitat classification Hopedale Hydrologic Restoration (PO-24): 2021 land-water classification LEAN-Corrected DEM for Suisun Marsh Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 LEAN-Corrected Collier County DEM for wetlands Radio telemetry data on nighttime movements of two species of migratory nectar-feeding bats (Leptonycteris) in Hidalgo County, New Mexico, late-summer 2004 and 2005 Greater Everglades Burmese python stable isotope data, 2003-2012, and standard ellipse area literature review, 2018 Species Observations from Pitfall Trap Arrays, Species Pool Matrices, and Patch Locations in Southern California from 1995-2015 Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018 Vegetation Type Conversion in Southern California Between 1943 and 2018 Stream Temperature in the Lahontan Basin of Nevada and California, 2017-2019 Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040) Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)