Filters: Tags: {"scheme":"Geographic Names Information System (GNIS)"} (X) > partyWithName: Ecosystems (X)
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We assessed the resilience of wetlands to sea-level rise along a transitional gradient from tidal freshwater forested wetland (TFFW) to oligohaline marsh by measuring processes controlling wetland elevation. We identified fundamental differences in how resilience is maintained across wetland community types, which have important implications for management activities that aim to restore or conserve resilient systems.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Georgia,
Savannah River,
South Carolina,
USGS Science Data Catalog (SDC),
Waccamaw River,
Mangrove restoration has a strong potential to enhance the services provided by coastal wetlands on a number of Department of the Interior (DOI) managed lands throughout the southeastern United States of America. Services include storm protection, water quality improvement, and biological carbon sequestration. Forest structural attributes including basal area, tree height, and stem density by species are used to calculate above ground biomass and above ground productivity. Percent cover is used to asses the forest canopy health. The data collected for the soils are: bulk density, percent total Nitrogen, percent total Carbon, and selected samples percent total Phosporus. The forest structure plots were placed in...
Categories: Data;
Types: Citation;
Tags: Avicennia germinans,
Carbon,
Collier County,
Conocarpus erectus,
Ecology,
This data consists of egg morphometric data from white-faced ibis. Eggs were collected in the field and then measured and dissected in the lab to obtain estimates of length, width and mass. This data supports the following publication: Herzog, M.P., Ackerman, J.T. and Hartman, C.A., 2021. Egg morphometrics and egg shape coefficients for White-faced Ibis (Plegadis chihi). The Wilson Journal of Ornithology.
Categories: Data;
Tags: Bear River Migratory Bird Refuge,
USGS Science Data Catalog (SDC),
biota,
birds,
field inventory and monitoring,
Electrical resistivity tomography (ERT) measurements were collected by the U.S. Geological Survey (USGS) at two sites in Interior Alaska in September 2019 for the purposes of imaging permafrost structure and quantifying variations in subsurface moisture content in relation to thaw features. First, ERT data were collected at Big Trail Lake, a thermokarst lake outside of Fairbanks, Alaska, to quantify permafrost characteristics beneath the lake and across its shorelines. Three 222 m ERT survey lines were collected perpendicular to the North, East, and South shorelines, and two 110 m lines were collected parallel to the southeast and northeast shorelines. Models of electrical resistivity produced from these data revealed...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Active layer thickness,
Alaska,
Big Trail Lake,
Bonanza Creek Experimental Forest,
Disturbance,
These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
Baja California,
Botany,
California,
Ecology,
We studied the direct and indirect impacts of using fire and grazing to manage remnant prairies on adult monarch abundance. This dataset consists of data collected at 10 burned and 10 grazed remnant Minnesota prairies during the summers of 2016 and 2017. We measured Asclepias spp. (milkweeds, monarch host plants) frequency, forb frequency, and adult monarch butterfly abundance at sites owned and managed by the Minnesota DNR, U.S. Fish and Wildlife Service, The Nature Conservancy, and private landowners.
To determine minimum coverage of perennial snow and ice cover for Glacier National Park, the minimum extent of glaciers and multi-year snow features were digitized from satellite imagery (10-meter NAPP 2003, NAIP 2005, and NAIP 2013, and 30-cm resolution, multispectral, pansharpened Digital Globe WorldView satellite imagery collected in late summer and fall 2015). Features were digitized in ArcGIS version 10.2 using a Wacom Intuos 4 digitizing tablet. Snow and ice features were classified as glacier, large ice mass, or perennial snow/ice. Glaciers were based on current, named glaciers. Remnant ice features not large enough to be classified as glaciers, but showing evidence of crevasses, were classified as large...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Glacier National Park,
Montana,
biota,
cryosphere,
geospatial,
Geophysical measurements and related field data were collected by the U.S. Geological Survey (USGS) at the Alaska Peatland Experiment (APEX) site in Interior Alaska from 2018 to 2020 to characterize subsurface thermal and hydrologic conditions along a permafrost thaw gradient. The APEX site is managed by the Bonanza Creek LTER (Long Term Ecological Research). In July 2018, soil temperature and moisture sensors were installed at six out of the nine instrument locations (APEX1, APEX2, APEX3, APEX4, APEX7, APEX9). Thermistors (PS103J2, US Sensor, Orange, CA, USA) were placed at depths of 5, 30, 60, 120, and 180 centimeters (cm) with three replicates. Three sites (APEX1, APEX4, APEX9) contained an additional single...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Bonanza Creek,
Disturbance,
Fairbanks North Star,
GGGSC,
The dataset “Glacier_National_Park_alpine_stream_sampling_watersheds,_2011-2013.shp” is a GIS shapefile of the drainage areas of each of the 129 alpine and glacial aquatic macroinvertebrate collection sites included in an analysis to test the prediction that glacier retreat reduces biodiversity in mountain ecosystems through the loss of uniquely adapted meltwater stream species in Glacier National Park, USA. In conjunction with the dataset “Minimum snow and ice coverage for GNP, 2003-2015”, this dataset was used to calculate the proportion of contemporary ice and snow coverage for each watershed drainage area.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Glacier National Park,
Montana,
biota,
cryosphere,
geospatial,
Alaska permafrost characterization: Borehole Nuclear Magnetic Resonance Data & Models from 2019-2020
Borehole nuclear magnetic resonance (NMR) data were collected by the U.S. Geological Survey (USGS) at Big Trail Lake, a thermokarst lake outside of Fairbanks, Alaska, to quantify unfrozen water content and soil properties at select sites in and around the lake edge. In September 2019, NMR data were collected within two 2.3 m deep boreholes adjacent to the East and North perpendicular electrical resistivity survey lines. Manual permafrost-probe measurements of thaw depths were also collected. These two boreholes were logged a second time in late March 2020. Additional one-time NMR measurements of liquid water content were collected in September 2019 within the lakebed sediments (0-25 cm depth) in approximately 2.5...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Active layer thickness,
Alaska,
Big Trail Lake,
Borehole nuclear magnetic resonance,
Disturbance,
Geophysical measurements and related field data were collected by the U.S. Geological Survey (USGS) at the Alaska Peatland Experiment (APEX) site in Interior Alaska from 2018 to 2020 to characterize subsurface thermal and hydrologic conditions along a permafrost thaw gradient. The APEX site is managed by the Bonanza Creek LTER (Long Term Ecological Research). Nine instrument sites were established in April 2018, seven of which were given a borehole approximately 2.3 meters (m) deep for repeat nuclear magnetic resonance (NMR) logging to quantify unfrozen water content and soil properties in the near surface. NMR data were collected from each borehole a total of ten times between April 2018 and October 2020, at a...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Active layer thickness,
Alaska,
Bonanza Creek,
Borehole nuclear magnetic resonance,
Disturbance,
Geophysical measurements and related field data were collected by the U.S. Geological Survey (USGS) at the Alaska Peatland Experiment (APEX) site in Interior Alaska from 2018 to 2020 to characterize subsurface thermal and hydrologic conditions along a permafrost thaw gradient. The APEX site is managed by the Bonanza Creek LTER (Long Term Ecological Research). Nine instrument sites were established in April 2018 and initially comprised a buried seismic station for continuous passive recording of the seismic wavefield, and seven of the nine sites were given a borehole for repeat nuclear magnetic resonance (NMR) logging. Between June 2018 and September 2019, measurements of active-layer thaw depth were regularly recorded...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Active layer thickness,
Alaska,
Bonanza Creek,
Disturbance,
Fairbanks North Star,
This raster dataset represents spatially explicit predictions of burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio (dNBR) within perimeters of fires greater than 405 hectares that burned between 1984 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grass-fire cycle,
Mojave Desert,
Mojave Desert,
Predictive models,
Random forests,
These data were collected to evaluate if arrowweed (Pluchea sericea) individuals and genotypes collected from across a 5.3 degree Celsius temperature gradient and grown in a common greenhouse environment had different physiological and morphological responses to inundation. The objectives of the study were to assess if 1) individuals from climatically different provenances differ in their morphological and physiological phenotypes, 2) individuals from climatically different provenances differ in their response to inundation, and 3) phenotypes and inundation responses are partially controlled by genotype. These data represent measurements made on 248 plants that were grown in a greenhouse and, also in a greenhouse...
This raster dataset represents spatially explicit predictions of probability of ignition in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grass-fire cycle,
Maxent,
Mojave Desert,
Mojave Desert,
Predictive models,
Geophysical measurements and related field data were collected by the U.S. Geological Survey (USGS) at the Alaska Peatland Experiment (APEX) site in Interior Alaska from 2018 to 2020 to characterize subsurface thermal and hydrologic conditions along a permafrost thaw gradient. The APEX site is managed by the Bonanza Creek LTER (Long Term Ecological Research). In April 2018, seven boreholes were emplaced to depths of 2.3-2.5 meters (m) to allow for repeat logging with downhole nuclear magnetic resonance (NMR) to quantify the spatial and temporal variations in unfrozen water content within active-layer and permafrost soils. NMR data were collected on ten separate occasions between April 2018 and October 2020. In June...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Active layer thickness,
Alaska,
Bonanza Creek,
Borehole nuclear magnetic resonance,
Disturbance,
This raster dataset represents spatially explicit predictions of fire frequency in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 through 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grass-fire cycle,
Mojave Desert,
Mojave Desert,
Predictive models,
Random forests,
The raster datasets in this release are maps of soil surface properties that were used in analyzing different approaches for digital soil mapping. They include maps of soil pH, electrical conductivity, soil organic matter, and soil summed fine and very fine sand contents that were created using both 2D and 3D modeling strategies. For each property a map was created using both 2D and 3D approaches to compare the mapped results.
This is a shapefile of the Mojave Desert, which was used as our study area boundary (MojaveEcoregion_TNS_UTM83.shp).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Mojave Desert,
biota,
burn severity,
co-occurence invasives,
desert ecosystems,
Geophysical measurements and related field data were collected by the U.S. Geological Survey (USGS) at the Alaska Peatland Experiment (APEX) site in Interior Alaska from 2018 to 2020 to characterize subsurface thermal and hydrologic conditions along a permafrost thaw gradient. The APEX site is managed by the Bonanza Creek LTER (Long Term Ecological Research). Nine instrument monitoring sites (APEX1-APEX9) were established in April 2018. To quantify permafrost and thaw zone characteristics along the instrumented gradient, electrical resistivity tomography (ERT) data were collected in August 2018 along four 82 meter (m)-long transects between select sites: APEX1-3, APEX5-3, APEX5-7, and APEX6-8. Data were collected...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Active layer thickness,
Alaska,
Bonanza Creek,
Disturbance,
Electrical resistivity tomography,
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