Filters: Tags: biota (X) > partyWithName: U.S. Geological Survey (X)
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These data were compiled to evaluate the reproductive ecology of Agassiz's desert tortoises (Gopherus agassizzi) in the Sonoran Desert of California using two populations within Joshua Tree National Park, including five reproductive seasons that spanned 20 years (1997-1999, 2015-2016). Compared to their conspecifics inhabiting the Mojave Desert, the reproductive ecology of G. agassizii in the Sonoran Desert is understudied. Climatic variation between the two deserts can affect reproductive ecology, including fecundity and clutch phenology. Mature female tortoises (straight-line carapace length ≥ 20 cm) outfitted with radiotransmitters were located and X-radiographed approximately every 10-14 days during the reproductive...
Categories: Data;
Tags: Agassiz's desert tortoise,
California,
Ecology,
Geography,
Gopherus agassizii,
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.
These data were compiled for a manuscript in which 1) we develop a water temperature model for the major river segments and tributaries of the Colorado River basin, including the Colorado, Green, Yampa, White, and San Juan rivers; 2) we link modeled water temperature to fish population data to predict the probability native and nonnative species will be common in the future in a warming climate; and 3) assess the degree to which dams create thermal discontinuity in summer in river segments across the western US. Per goal #1, we developed a water temperature model using data spanning 1985-2015 that predicts water temperature every 1 mile (1.6-km) in rivers both now and in the future due to the potential influence...
These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the regimes used in the R and R categories; 2) assess how these changes will impact the geographic distribution of soil temperature and moisture regimes; and 3) explore the implications for using R and R categories for estimating future ecosystem resilience and resistance.
These data represent capture histories for humpback chub (Gila cypha) that spawn in the Little Colorado River (LCR) from 2009-2017. Capture histories pertain to size class (<150mm total length [TL], 150-199mm TL, 200-249mm TL, and >250mm TL) and spatial location (the juvenile chub monitoring [JCM] reach in the Colorado River [63.4-65.0 river miles downstream of Lees Ferry], lower LCR [0-13.56 km upstream of Colorado River confluence], and upper LCR [13.57-17.9 km upstream of Colorado River confluence]).
Fifteen fires from the Chronosequence dataset (see Knutson et al. 2014) were visited in 2012 and 2013 and surveyed for cover of lichens and mosses. Fires were selected to cover the range of average precipitation for each of three water years following fire, fire severity, time since fire, season of ignition, total acres burned and grazing intensity. Cattle grazing was characterized by distance from water sources for cattle, cow dung density counts and Animal Unit Months from the Rangeland Administration System of the Bureau of Land Management. Fire was characterized by whether or not a site burned, time since fire, the area burned, and an estimated amount of shrub cover consumed by the fire as compared to seemingly...
Geographic distribution data were collected based on county level occurrences (or converted from point occurrences to county level occurrences) within the five focal states (Minnesota, North Dakota, South Dakota, Nebraska & Iowa) and each U.S. state or Canadian province bordering those focal states (Wisconsin, Illinois, Missouri, Kansas, Wyoming, & Montana in the USA and Saskatchewan, Ontario & Manitoba in Canada).
Values for area of all occupied habitat were only obtained for species whose occupancy models predicted a marked proportion of the species' population was likely present in non-forest habitats.
Data includes satellite derived pre-fire functional group cover of annual and perennial herbaceous, shrubs, bareground and litter across four rangeland megafires in the Western US, as well as field estimated invasive annual grass measurements from the 2nd to 3rd years post-fire. Additional landscape and restoration treatment covariates hypothesized to influence post-fire invasive annual grass cover are included.
LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree, shrub, and herbaceous lifeforms. Training data depicting percentages of canopy cover are obtained from plot-level ground-based visual assessments and lidar observations. These are combined with Landsat imagery (from multiple seasons), to inform models built independently for each lifeform. Tree, shrub, and herbaceous lifeforms each have a potential range from 10% to 100% (cover values less than 10% are binned into the 10% value). The three independent lifeform datasets are merged into a single product based on the dominant...
LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. Historical Disturbance (HDist) is developed from the base annual LF disturbance products, and attribute code system, to represent the history of disturbance for a 10-year span. Each year's disturbance scenarios are checked against time relevant LF vegetation products to check for logical inconsistencies. Errant codes are flagged and updated to a discard code with the remaining disturbance types cross-walked/aggregated to Fuel Disturbance (FDist) types. HDist includes the year of disturbance that is recorded for that pixel. In LF 2022, the time since disturbance code is the same for both HDist...
LANDFIRE (LF) 2022 Fuel Vegetation Type (FVT) represents the LF Existing Vegetation Type Ecological Systems (EVT) product, modified to represent pre-disturbance EVT in areas where disturbances have occurred over the past 10 years. Due to shifting EVT codes and labels throughout the years, the FVT codes are based on an early version of EVT codes translated from the current version. FVT is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVT is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances...
These data support a paired USGS publication and document the use of retention ponds on commercial poultry farms by wild waterfowl.
Categories: Data;
Tags: Chesapeake Bay,
USGS Science Data Catalog (SDC),
Wildlife Disease,
avian influenza,
biota,
These data represent total vegetation and surface water along approximately 12 kilometers of the Paria River upstream from the confluence of the Colorado River at Lees Ferry, Arizona. They are derived from airborne, multispectral imagery obtained in late May 2009, 2013, and 2021, collected with a push-broom sensor with 4 spectral bands depicting Blue, Green, Red and Near-Infrared wavelengths at a spatial resolution of 20 centimeters. The vegetation classification data were created using a supervised classification algorithm provided by Harris Geospatial in ENVI version 5.6.3 (Exelis Visual Information Solutions, Boulder, Colorado). The water data were created using a Green Normalized Difference Vegetation Index...
This data release includes physical and chemical characteristics of field collected sediment and soil samples in Missouri representing potential sediment/soil that may enter the water column during construction related activities. Three samples were collected, including Spring River sediment, Osage River bank soil and Columbia crushed limestone. The impacts of increased suspended solid level due to the three samples on early-stage freshwater mussels were examined using three freshwater mussel species, including Fatmucket (Lampsilis siliquoidea), Arkansas Brokenray (Lampsilis reeveiana), and Washboard (Megalonaias nervosa). Specifically, toxicity endpoints including survival, biomass, and growth of juveniles were...
Categories: Data;
Tags: Acute toxicity,
Aquatic Biology,
Boone County,
Chronic toxicity,
Osage River,
LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and...
LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance...
The Stream Conditions of Chester County Biological Monitoring Network was established by the U.S. Geological Survey and the Chester County Water Resources Authority in 1969. Benthic-macroinvertebrate, habitat, and stream chemistry data were collected annually from 1998-2021 at 18 fixed location sites. Additionally, nine flexible location sites were selected and sampled annually from 1998-2021. Some of the flexible location sites were sampled more than once over the study period. All data were collected in the fall months (October-November) during baseflow conditions. The benthic-macroinvertebrate data collected was used to calculate six metrics and to establish an index of biotic integrity for each sample, while...
These data were compiled to examine how climate change affects biocrust recovery from both physical and climate-induced disturbance. Objective(s) of our study were to uncover the trajectory of biological soil crust communities and soil stability following disturbance and under warming. These data represent biological soil crust surveys under 5 treatments at three sites. These data were collected at three sites: Arches National Park, Canyonlands National Park and Castle Valley. Data collection for a physical disturbance experiment where annual human-trampling occurred at the sites in Arches and Canyonlands began in 1996 and was concluded in 2018. Data collection for a 13-year full-factorial in situ climate manipulation...
This work is part of an experimental trial to develop and assess novel recombinant raccoonpox virus (RCN) rabies vaccines in the mouse model, for potential use in bats. Briefly, our research group previously developed a recombinant RCN vaccine candidate expressing a mosaic glycoprotein (MoG) gene that protected mice and big brown bats when challenged with rabies virus (RABV). We developed two new recombinant RCN candidates expressing MoG (RCN-tPA-MoG and RCN-SS-TD-MoG) with the aim of improving RCN-MoG. We assessed and compared in vitro expression, in vivo immunogenicity, and protective efficacy in vaccinated mice challenged intracerebrally with RABV. In this data set, we share results of immunofluorescence assay...
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