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This dataset is from a restoration field study conducted at seven sites distributed across the southern Colorado Plateau in northern Arizona as part of the RestoreNet dryland restoration field trial network. The data consist of post-experimental restoration treatment (2018-2019) plant density and height measurements along with site precipitation, temperature, and soils data. Plant data were collected through plot monitoring visits distributed throughout the first year following restoration treatments and seeding.
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Land management practices often directly alter vegetation structure and composition, but the degree to which ecological processes such as herbivory interact with management to influence biodiversity is less well understood. We hypothesized that intensive forest management and large herbivores have compounding effects on early-seral plant communities and plantation establishment (i.e., tree survival and growth), and the degree of such effects is dependent on the intensity of management practices. We established 225 m2 wild ungulate (deer and elk) exclosures nested within a manipulated gradient of management intensity (no-spray Control, Light herbicide, Moderate herbicide and Intensive herbicide treatments), replicated...
In this study, we develop urban ecosystem accounts in the U.S., using the System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA) framework. Most ecosystem accounts focus on regional and national scales, which are appropriate for many ecosystem services. However, ecosystems provide substantial services in cities, improving quality of life and contributing to resiliency for substantial parts of the population. Our models estimate energy savings for indoor cooling resulting from heat mitigated by trees and rainfall intercepted by trees. Both models cover major cities in the contiguous U.S. and report the results through physical supply and use tables for multiple accounting periods...
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Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987. Biomass data were generated for individual species: Dahurian larch (Larix gmelinii Rupr. Kuzen), white birch (Betula platyphylla Suk), aspen (Populus davidiana Dode and Populus suaveolens Fischer), and Mongolian Scots pine (Pinus sylvestris var. mongolica Litvinov). A raster layer of total aboveground tree biomass was also generated. Burned area was manually delineated using the normalized...
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From 2008 to 2012, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, Walla Walla District, developed an acoustic backscatter surrogate (model 1.0) for estimating real-time suspended-sediment concentration and loads at Clearwater River at Spalding, ID (USGS ID: 13342500) using a horizontally-mounted 3000kHz acoustic Doppler velocity meter (ADVM). This study is a continuation of the 2008 to 2012 acoustic backscatter surrogate study using samples collected since 2015 to validate the continued use of model 1.0. Sample data collected in 2015 to 2018 show a deviation from model 1.0 when backscatter data from the ADVM, after correction for acoustic losses, is greater than 65.7 decibels....
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This data release supports interpretations of field-observed root distributions within a shallow landslide headscarp (CB1) located below Mettman Ridge within the Oregon Coast Range, approximately 15 km northeast of Coos Bay, Oregon, USA. (Schmidt_2021_CB1_topo_far.png and Schmidt_2021_CB1_topo_close.png). Root species, diameter (greater than or equal to 1 mm), general orientation relative to the slide scarp, and depth below ground surface were characterized immediately following landsliding in response to large-magnitude precipitation in November 1996 which triggered thousands of landslides within the area (Montgomery and others, 2009). The enclosed data includes: (1) tests of root-thread failure as a function of...
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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. This dataset is comprised of two different zip files. Zip File 1: The data within this zip file are composed of two wildland fire datasets. (1) A merged dataset consisting of 40 different wildfire and prescribed fire layers. The original 40 layers were all freely obtained from the internet or provided to the authors free of charge with permission to use them. The merged layers were altered to contain a consistent set of attributes including names, IDs, and dates. This raw merged dataset contains all original polygons many of which are duplicates of the same fire. This dataset...
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Data presented are results of vegetation sampling conducted in 2019-20 and 2023 in 24 survey plots to document the status of infestation by shot hole borers (Euwallacea sp.) on the riparian vegetation at the San Diego River. This dataset presents location, percent cover of different vegetation types, and number of seedlings for each survey plot. In addition, for each tree and sapling in each plot we present species, size, tree status (live, resprouting, recently dead from shot hole borer, or dead from another cause or unknown cause), infestation status (infested by shot hole borer, not infested by shot hole borer, or infestation not confirmed as shot hole borer), and crown condition. For every tree we also present...
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
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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...
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The U.S. Geological Survey provides a wide range of scientific information to an even wider group of stakeholders. Understanding what capacities are needed and if and or where these capacities exist across the USGS landscape is critical in moving science to the next level of use, implementation, and visualization. The concept behind the groups organized to conduct and interpret the survey that collected these data took advantage of the USGS’s position as a science organization with expertise spanning a wide range of science disciplines, stakeholders, and responsibilities. A survey was conducted of USGS employees (Sep 20-Nov 20) to get a current sample of the capacities that exist across the USGS.
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U.S Geological Survey (USGS) scientists conducted field data collection efforts during the time periods of September 5 - 14, 2018, November 8 - 13, 2018, June 18 - 27, 2019, July 30 - August 8, 2019, September 13 - 19, 2019, and June 23 - July 1, 2020. These efforts used a combination of technologies to map twenty burned and twelve unburned forest plots at eleven sites in the Black Hills of South Dakota. Twelve burned plots at five sites and nine unburned plots at two sites are located within Custer State Park, five burned plots are located on private land adjacent to Custer State Park at two sites, three unburned plots are located at one site near Hazelrodt Picnic Area in the Black Hills National Forest, and three...
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Note: this dataset has been superseded by this new data product: Simpson, A., Turner, R., Blake, R., Liebhold, A., and Dorado, M., 2021, United States Register of Introduced and Invasive Species: U.S. Geological Survey data release, https://doi.org/10.5066/P95XL09Q. Invasive species are a subset of non-native (or nonindigenous) species, and knowing what species are non-native to a region is a first step to managing invasive species. This is the second update to the dataset "First comprehensive list of non-native species established in three major regions of the United States" supporting a USGS Open File Report by the same name published on 2018-10-17. Version 3.0 of the non-native species list, as of 2020-09-15,...
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These data consist of environmental covariates, measured plot-level and tree characteristics for seven coniferous tree species across the southwestern United States. The objectives of the study were to assess how growth characteristics of conifer tree species vary across environmental gradients and across the different tree species. These data represent conifer growth under a variety of stand and site characteristics. These data were collected in the summer of 2019, from sites across Nevada, Arizona, New Mexico and Colorado, and collected by field crews directed by Matt Petrie (University of Nevada Las Vegas), Rob Hubbard (USDA Forest Service), Tom Kolb (Northern Arizona University) and John Bradford (U.S. Geological...
Categories: Data; Tags: Arizona, Botany, California, Climatology, Colorado, All tags...
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This data release includes time-series data from two monitoring stations in drainage basins burned in the 2009 Station Fire, Los Angeles County, California. Both stations are located near the upper boundary of their respective watershed and were installed to study the effects of vegetation recovery on hillslope hydrology and debris-flow occurrence. The coordinates of the Arroyo Seco site are 34°14'13.10"N, 118°11'44.72"W. The coordinates for the Dunsmore Canyon hillslope site are 34°15'54.27"N, 118°14'14.41"W. The data include 1-minute time series of rainfall, soil water content, soil temperature, and soil matric potential recorded at two locations at both stations: AS1, AS2, DC1, DC2. The two locations at each...
The dataset include raw pollen counts, age model data, and pollen accumulation rates with uncertainty estimates for seven lake sites in the Klamath Mountains, California, USA. The raw pollen counts reflect the relative abundance of major taxa from the vegetation surrounding each lake site (n=7) at 5 different time periods. The age model data provides a Bayesian-based estimate of the sediment's age and the associated uncertainty where pollen samples were also collected and counted (~1850, 1880, 1930, 1970, 2018 AD). Lastly, the pollen accumulation rates dataset encompasses the pollen accumulation rates for each taxa at each time step across all lakes plus the cumulative uncertainty with each calculation, as estimated...
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Aboveground Biomass Data from Pohnpei, Federated States of Micronesia. Plot data includes X and Y location, downed dead wood (DDW) count, mangrove species identification, and site descriptions. Species information was recorded for Bruguiera gymnorhiza, Sonneratia alba, Xylocarpus granatum, Lumnitzera littorea, Rhizophora apiculata, Rhizophora lamarckii, Rhizophora mucronata, Rhizophora stylosa and Ceriops tagal. Mangroves were inventoried for species identification, diameter at breast height (DBH), height, and dead status.
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Andrews Meadow in the Loch Vale watershed, Rocky Mountain National Park. Sample Collection: Englemann spruce (Picea engelmannii) living on slopes surrounding and at the edge of Andrews meadow (Latitude 40˚ 17’ 24” N, Longitude 105˚ 40’ 01” W NAD83). At the time of collection, the climate-sensitive upland P. engelmannii trees were growing on well-drained slopes above the meadow. Seventeen trees, two cores per tree when possible, were collected using a 5mm-diameter increment borer. During sample collection, diameter at breast height (DBH) was also measured. These cores were processed following standard dendrochronological methods. The annual (TW) and earlywood (EW) ring-widths of each core were measured to 0.001mm...


map background search result map search result map Forest management and cervid herbivory data from Western Oregon, USA, 2012 (Camera Data) A comprehensive list of non-native species established in three major regions of the United States: Version 3.0 Hillslope hydrologic monitoring data following the 2009 Station Fire, Los Angeles County, California, November 2015 to June 2017 Carbon-13 values in tree leaves in Florida (2018) Model Archive Summary for Suspended Sediment,  Acoustic Sediment Surrogate Model 2.0, USGS gage number 13342500, Clearwater River at Spalding, Idaho Aboveground Mangrove Biomass Data Collected from and Species Dominance Maps of Pohnpei, Federated States of Micronesia Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China RestoreNet: seedling treatment and site environmental characteristics data at restoration treatment plots in northern Arizona, USA Data release for Piloting Urban Ecosystem Accounting for the United States Regeneration trends along climate gradients in Taxodium distichum forest of the southeastern United States, 2007-2019 USGS Earthmap Capacity Assessment Dataset Root thread strength, landslide headscarp geometry, and observed root characteristics at the monitored CB1 landslide, Oregon, USA Combined wildland fire datasets for the United States and certain territories, 1800s-Present Black Hills Region South Dakota 2017 Legion Lake Fire Burned and Unburned Plot Measurements Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Site characterization and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States Tree-ring widths of Picea engelmannii at Andrews Meadow, Rocky Mountain National Park Root thread strength, landslide headscarp geometry, and observed root characteristics at the monitored CB1 landslide, Oregon, USA Tree-ring widths of Picea engelmannii at Andrews Meadow, Rocky Mountain National Park Hillslope hydrologic monitoring data following the 2009 Station Fire, Los Angeles County, California, November 2015 to June 2017 Model Archive Summary for Suspended Sediment,  Acoustic Sediment Surrogate Model 2.0, USGS gage number 13342500, Clearwater River at Spalding, Idaho Carbon-13 values in tree leaves in Florida (2018) Black Hills Region South Dakota 2017 Legion Lake Fire Burned and Unburned Plot Measurements Aboveground Mangrove Biomass Data Collected from and Species Dominance Maps of Pohnpei, Federated States of Micronesia RestoreNet: seedling treatment and site environmental characteristics data at restoration treatment plots in northern Arizona, USA Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Regeneration trends along climate gradients in Taxodium distichum forest of the southeastern United States, 2007-2019 Site characterization and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States A comprehensive list of non-native species established in three major regions of the United States: Version 3.0 Data release for Piloting Urban Ecosystem Accounting for the United States Combined wildland fire datasets for the United States and certain territories, 1800s-Present USGS Earthmap Capacity Assessment Dataset