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The rasters in this dataset represent modeled outputs of potential fire connectivity and relative flow patterns in the Great Basin. We define ‘fire connectivity’ as the landscape’s capacity to facilitate fire transmission from one point on the landscape to another. We applied an omnidirectional circuit theory algorithm (Omniscape) to model fire connectivity in the Great Basin of the western United States. We used predicted rates of fire spread to approximate conductance and calculated current densities to identify connections among areas with high spread rates. We calculated the cumulative current density as well as normalized cumulative current density, with the outputs included here as raster data.
Data used in the Maumee River omics publication, Multi-omics responses in tree swallow (Tachycineta bicolor) nestlings from the Maumee Area of Concern, Maumee River, Ohio. Tseng et al. 2023 Sci. Total Environ. 856:159130
Categories: Data;
Tags: EROD,
Ecology,
Environmental Health,
USGS Science Data Catalog (SDC),
Wildlife Biology,
These data were collected as part of a methodologial comparison for collecting riparian vegetation data. Two common methods for collecting vegetation data were used: line-point intercept and 1m2 ocular quadrats (visual cover estimates). At each site and transect, both methods were used to collect cover and composition data by four different observers. The same transects and quadrats were utilized for both methods and all observers. Field data collected included percent cover for total living foliar cover, each plant species encountered, litter, dead plant material that is still standing, and ground cover features (biological soil crust, rock, sand, and fine soil particles). Line-point intercept data were collected...
The dataset consists of two csv files one for adult snakes and one for captive-reared juvenile snakes. The data contains start times (when snakes entered the study) and end times (when snakes died or were censored from the study) for survival analysis. The data also contains general information about the individual snakes (id, snout-vent length, treatment group, whether or not they were translocated), sex (juveniles only since adults were all female), surface activity (and data needed to calculate surface activity), and average distance moved between telemetry resighting. The above information was used as covariates in the survival models. These data support the following publication: Nguyen, A.M., Todd, B.D....
Categories: Data;
Tags: California,
Ecology,
USGS Science Data Catalog (SDC),
Wildlife Biology,
biota,
Proliferation of cheatgrass and other exotic annual grasses such as medusahead and ventenata are a major environmental concern and operational problem for roadsides in Idaho. These annual grasses are highly flammable and they shorten fire-return intervals. Flammable vegetation is particularly hazardous in roadsides because of proximity to a ready source of ignition, and fires that start on roadsides can spread into adjacent public lands and urban communities with sprawling home development, causing extensive and expensive damage and degradation to wildlife habitat, rangelands, private or public property, utilities, etc. Thus, the Idaho Transportation Department (ITD) has a strong interest in preventing roadside...
These data were compiled to assess the recovery of vegetation on reclaimed oil and gas sites. Objective(s) of our study were to assess patterns in reclamation outcomes relative to 1) soil attributes, climate, and time since 39 reclamation and 2) plant and soil reference benchmarks. These data represent observations of vegetation and soil cover from 134 reclaimed oil and gas well pads and 583 AIM reference plots. These data were collected on lands impacted by oil and gas development on the Colorado Plateau as well as Arizona and New Mexico Plateau of New Mexico, Colorado, and Utah. Data was collected from July- September of 2020 and May-September of 2021. These data were collected by Assessment Inventory and Monitoring...
Categories: Data;
Tags: AIM reference plots,
Arizona and New Mexico Plateau,
Assessment Inventory and Monitoring (AIM),
Botany,
Colorado,
These data consist of larval fish and water profile data collected with a nearshore to offshore transect approach at 9 transects throughout Lake Huron. Larval fish and their stomach contents were identified, enumerated, and measured (if possible) using a dissecting microscope. These data were used to calculate densities of potential fish prey items (what is available in the environment) and compare that to what the fishes ate for selectivity analysis. Larval fish age estimation based on daily growth rings from otoliths was also conducted. These data are in raw form. The water profile data were collected using a bathythermograph and bin-averaged at the 1 m level. Environmental prey data are available at the following...
The U.S. Geological Survey (USGS) Soil Sample Archive is a database of information describing soil and sediment samples collected in support of USGS science. Samples in the archive have been registered with International Generic Sample Numbers, relabeled with bar-coded sample labels, and repacked in containers for long-term preservation. Details of sample collection location, collection date, associated datasets, mass of remaining sample, storage locations, and other relevant information are tabulated here so that interested parties may identify associated datasets and search, sort, and gain access to archived samples.
This dataset consists of three datafiles: 1) vegetation, 2) abiotic factors, and 3) groundwater levels. Vegetation data were collected twice per month between July and September of 2019 and 2020. Data was collected by establishing 1m x 1m subplots within 12 5m-radius sampling plots distributed across the management units of Bitter Lake National Wildlife Refuge. Subplots were established to represent plot-level vegetation structure and facilitate estimates of rare plant relative abundance. The abiotic factors dataset includes observations of surface soil moisture, salinity, groundwater quality data, and rare plant presence taken weekly between March – October 2019 and May – October 2020 at each established plot within...
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
We investigated fine-scale genetic patterns of the federally threatened Eastern Massasauga Rattlesnake (Sistrurus catenatus) on a relatively undisturbed island in northern Michigan, USA. This species often persists in habitat islands throughout much of its distribution due to extensive habitat loss and distance-limited dispersal. These data are from 102 individual Eastern Massasauga Rattlesnakes sampled at Bois Blanc Island, Michigan and genotyped at 15 microsatellite loci. Samples were collected as part of a study to examine functional connectivity for the Eastern Massasauga. We found that the entire island population exhibited weak genetic structuring with spatially segregated variation in effective migration...
USGS scientists evaluated the utility of hidden Markov movement models to characterize seasonal movements of mule deer (Odecoileus hemionus) and pronghorn (Antilocapra americana) that were tracked with GPS collars in Wyoming, USA, during 2014-2021. Data include step lengths and turning angles for individual animals at daily time-steps throughout the tracking period. Models demonstrated distinct seasonal movements between species indicative of migratory behavior and enable analyses to identify influential factors that affect decisions to migrate by animals.
Categories: Data;
Tags: Ecology,
USGS Science Data Catalog (SDC),
Wildlife Biology,
Wyoming,
animal behavior,
This data set is comprised of 3 files of information collected on amphibians and vernal pool habitats at Canaan Valley National Wildlife Refuge from 2004 - 2016.
Categories: Data;
Tags: Ecology,
Tucker,
USGS Science Data Catalog (SDC),
West Virginia,
Wildlife Biology,
The data release details the samples, methods, and raw data used to generate high-quality genome assemblies for greater sage-grouse (Centrocercus urophasianus), white-tailed ptarmigan (Lagopus leucura), and trumpeter swan (Cygnus buccinator). The raw data have been deposited in the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI), the authoritative repository for public biological sequence data, and are not included in this data release. Instead, the accessions that link to those data via the NCBI portal (www.ncbi.nlm.nih.gov) are provided herein. The release consists of a single file, sample.metadata.txt, which maps NCBI accessions to the samples sequenced and the different...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
The data presented here are blacklegged tick nymph densities, white-tailed deer densities, and Borrelia burgdorferi (causative agent of Lyme disease) prevalences for eight national parks in the eastern United States from 2014-2022.
This data release contains the North American Bat Monitoring Program (NABat) Master Sampling Grid at the 5 km x 5 km scale with biologically relevant covariates for NABat analyses attributed to each cell of the 5 km x 5 km grid frame for the continental United States. It was created using ArcPro and the 'sf', 'tidyverse', 'dplyr' and 'exactextractr' packages in R to extract covariates from multiple data sources following the 10 km x 10 km attributed grid process as well as adding additional covariates. These covariates include the habitat characteristics such as percent of wetlands, forest, deciduous and coniferous forest, dominant and subdominant oak types, the number of tree and oak species, topographic features...
Data were collected as part of a long-term capture-recapture program to assess the population dynamics of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning population. In addition, data on the size composition of captured fish...
Categories: Data;
Tags: Aquatic Biology,
USGS Science Data Catalog (SDC),
Upper Klamath Lake,
biota,
demographic rates,
These tables serve as input data for hierarchical models investigating interactions between raven density and Greater Sage-grouse nest success. Observations were recorded over an 11 year time period, spanning from 2009 through 2019. The model is run in JAGS via R, the code is publicly available via the U.S. Geological Survey's GitLab (O'Neil et al. 2023). We recommend not making any changes or edits to the tables unless the user is experienced with hierarchical modeling. References: O'Neil, S.T., Coates, P.S., Webster, S.C., Brussee, B.E., Dettenmaier, S.J., Tull, J.C., Jackson, P.J., Casazza, M.L., and Espinosa, S.P., 2023, Code for a hierarchical model of raven densities linked with sage-grouse nest survival...
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